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TECHNICAL COOPERATION REPUBLIC OF MALAWI<br />

FEDERAL REPUBLIC OF GERMANY<br />

PROCEEDINGS OF THE<br />

LAKE MALAWI FISHERIES<br />

MANAGEMENT SYMPOSIUM<br />

4 TH – 9 TH JUNE 2001 CAPITAL HOTEL,<br />

Department <strong>of</strong> Fisheries<br />

LILONGWE<br />

E DITED BY<br />

OLAF L.F. WEYL & MICHELLE V. WEYL<br />

December 2001<br />

NATIONAL AQUATIC RESOURCE<br />

MANAGEMENT PROGRAMME<br />

(NARMAP)<br />

Deutsche Gesellschaft für<br />

Technische Zusammenarbeit


Table <strong>of</strong> contents<br />

Speech by <strong>the</strong> Minister <strong>of</strong> Natural Resources and Environmental Affairs, Hon, Harry I. Thomson, MP, at <strong>the</strong><br />

opening <strong>of</strong> <strong>the</strong> Lake Malawi Fisheries Management Symposium…………………….………………………... 1<br />

Speech by <strong>the</strong> Director <strong>of</strong> Fisheries, S.A. Mapila, at <strong>the</strong> opening <strong>of</strong> <strong>the</strong> Lake Malawi Fisheries Management<br />

Symposium…………………….…………………….…………………….……………………. 3<br />

The Role <strong>of</strong> <strong>the</strong> National Research Council <strong>of</strong> Malawi in protection , conservation and <strong>management</strong> <strong>of</strong><br />

<strong>fisheries</strong> resources in Malawi<br />

Frade K. Nyondo…………………….…………………….…………………….…………<br />

A general overview <strong>of</strong> <strong>fisheries</strong> research and development in Malawi<br />

O. M. Kachinjika…………………….…………………….………………………………. 11<br />

Economic security and sustainable programmes for <strong>the</strong> African Great Lakes<br />

Benjamin Ngatunga & Anthony Ribbink…………………….…………………….……………………………… 20<br />

The need to maintain maximum biodiversity in Lake Nyasa<br />

Benjamin P. Ngatunga………..……………….…………………………….……………… 27<br />

Fisheries <strong>management</strong>, biodiversity conservation and genetic stock structure<br />

George F. Turner…………………….…………………….…………………….………… 31<br />

Fisheries development, <strong>management</strong>, and <strong>the</strong> role <strong>of</strong> government<br />

Tony Seymour……………….…………………….…………………….………………… 42<br />

Seeking sustainability: streng<strong>the</strong>ning stakeholder involvement in <strong>fisheries</strong> <strong>management</strong> in Malawi<br />

Tracy A. Dobson & Aaron J. M. Russell…………………….…………………….………… 55<br />

Fisheries <strong>management</strong> and uncertainty: <strong>the</strong> causes and consequences <strong>of</strong> variability in inland <strong>fisheries</strong> in<br />

Africa, with special reference to Malawi<br />

Edward H. Allison, Frank Ellis, Peter M. Mvula & Laurence F. Mathieu………………………….. 66<br />

An overview <strong>of</strong> indigenous knowledge as applied to natural resources <strong>management</strong><br />

E.Y. Sambo & R. Woytek…………………….…………………….…………………….… 80<br />

Decentralised environmental <strong>management</strong> and <strong>the</strong> implications for <strong>fisheries</strong> co-<strong>management</strong> in Lake Malawi<br />

John D. Balarin…………………….…………………….………………………..…………………….…………… 85<br />

Status <strong>of</strong> <strong>the</strong> small scale fishery in Malawi.<br />

Mackson J.R. Ngochera …………………….…………………….……………..……….…………………….…… 95<br />

Effects <strong>of</strong> overfishing on reproductive potential <strong>of</strong> major cichlid fish species in sou<strong>the</strong>rn Lake Malombe<br />

(Malawi): Need for “Closed Area” strategy as a complementary <strong>management</strong> option?<br />

Collins Jambo & Tom Hecht…………………….…………………….……………………. 105<br />

Management recommendations for <strong>the</strong> nkacha net fishery <strong>of</strong> Lake Malombe<br />

Kissa R. Mwakiyongo & Olaf L.F. Weyl …………………….……..………………….……… 114<br />

Drifting long line, a potential fishing method for <strong>the</strong> nor<strong>the</strong>rn part <strong>of</strong> Lake Nyasa/Malawi/Niassa<br />

K.J. Kihedu, M.K.L.Mlay, J.A. Mwambungu & B.P. Ngatunga……………….………………… 121<br />

6


Gear and species selectivity <strong>of</strong> <strong>the</strong> chilimira kauni fishery in Lake Malawi<br />

Jacqueline Chisambo………….…………………….…………………….……………… 127<br />

Gear and species selectivity <strong>of</strong> <strong>the</strong> gill net fishery in Lake Malawi.<br />

Richard Dawson Sipawe…………………….…………………….……………………. 133<br />

Fisheries activities in nor<strong>the</strong>rn Lake Nyasa (Kyela District)<br />

John A. Mwambungu…………….…………………….…………………….…………… 142<br />

Hard choices for chambo <strong>management</strong> in area A <strong>of</strong> <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi<br />

Olaf L.F. Weyl…………………….…………………….…………………….…………… 146<br />

The nkacha fishery in Lake Malombe and <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi<br />

M<strong>of</strong>fat M. Manase…………………….…………………….………….………………… 156<br />

The state <strong>of</strong> <strong>the</strong> large scale commercial <strong>fisheries</strong> on Lake Malawi<br />

Moses Banda………………….……………………………………….………………... 163<br />

Spatial and temporal distribution <strong>of</strong> some commercially important fish species in <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> Lake<br />

Malawi: A Geostatistical Analysis.<br />

Ge<strong>of</strong>frey Z. Kanyerere & Anthony J. Booth…………………….…………………….………... 173<br />

Preliminary investigations <strong>of</strong> community level responses to benthic trawling in <strong>the</strong> demersal fish fauna <strong>of</strong><br />

Lake Malawi/Niassa, Africa.<br />

Will Darwall…………………….…………………….…………………….…………… 189<br />

Resource use overlaps between <strong>the</strong> pair trawl and small scale <strong>fisheries</strong> in <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi<br />

Thomas E. Nyasulu…………………….…………………….…………………….…………………….…………... 195<br />

Population biology <strong>of</strong> <strong>the</strong> catfish Bagrus meridionalis from <strong>the</strong> sou<strong>the</strong>rn part <strong>of</strong> Lake Malawi.<br />

Moses Banda…………………………………….…………………….………………… 200<br />

Feeding habit and development <strong>of</strong> feeding-related morphological characters in Oreochromis shiranus<br />

(Boulenger, 1896) larvae and juveniles in Malawi<br />

Shinsuke Morioka and Daniel Sikawa…………………….…………………….…………………….…………… 215<br />

Otolith growth increments in three cyprinid species in Lake Malawi and information <strong>of</strong> <strong>the</strong>ir early growth<br />

Shinsuke Morioka & Emanuel Kaunda……………………………………………………………………………. 220<br />

Development <strong>of</strong> African catfish Clarias gariepinus larvae during <strong>the</strong> transitional phase between endogenous<br />

and exogenous energy intake.<br />

Seiji Matsumoto, Shinsuke Morioka & Sigeru Kumagai………………………………………………………… 227<br />

Effect <strong>of</strong> temperature on oocyte development <strong>of</strong> Oreochromis karongae (TREWAVAS)<br />

L.J. Kamanga, E. Kaunda, J.P. Mtimuni , A.O. Maluwa & M.W. Mfitilodz…………………………………. 233<br />

Effect <strong>of</strong> feeding density on survival <strong>of</strong> African catfish Clarias gariepinus.<br />

H.K. Zidana & A.O. Maluwa……………………………………………………………………………………….. 242<br />

Determination <strong>of</strong> biological reference points for Lake Malawi cichlids<br />

Anthony J. Booth…………………………………………………………………………………………………… 249<br />

Appendix I – Abstracts <strong>of</strong> papers not submitted for publication (with comments from floor)…………………... 260<br />

Appendix II – List <strong>of</strong> participants & Acknowledgements………………………………………………………... 270


1<br />

Lake Malawi Fisheries Management Symposium - Proceedings<br />

Speech by <strong>the</strong> Minister <strong>of</strong> Natural Resources and Environmental Affairs, Hon,<br />

Harry I. Thomson, MP, at <strong>the</strong> opening <strong>of</strong> <strong>the</strong> opening <strong>of</strong> <strong>the</strong> Lake Malawi Fisheries<br />

Management Symposium<br />

Read by <strong>the</strong> Deputy Secretary <strong>of</strong> <strong>the</strong> Ministry <strong>of</strong> Natural Resources and Environmental Affairs<br />

Mr. E.E. Lodzeni.<br />

The Director <strong>of</strong> Administration in <strong>the</strong> Ministry, The Director <strong>of</strong> Fisheries and all o<strong>the</strong>r <strong>fisheries</strong> staff,<br />

Representatives <strong>of</strong> Donor Agencies, Delegates to <strong>the</strong> Symposium, Representatives <strong>of</strong> Government Ministries and<br />

Departments, Members <strong>of</strong> <strong>the</strong> Press, Ladies and Gentlemen.<br />

It is a great honour and privilege for me to be with you today to <strong>of</strong>ficially open this International Symposium on <strong>the</strong><br />

Management <strong>of</strong> Lake Malawi and Lake Malombe <strong>fisheries</strong> resources. This is a very important <strong>symposium</strong> for<br />

Malawi, since it derives a variety <strong>of</strong> social and economic benefits from <strong>the</strong> resources <strong>the</strong>se <strong>lake</strong>s provide.<br />

First and foremost, I wish to extend a warm welcome to all participants to this <strong>symposium</strong>, in particular our<br />

international guests, who, despite <strong>the</strong>ir commitments at home have felt if very important that <strong>the</strong>y come and<br />

contribute towards <strong>the</strong> rational <strong>management</strong> <strong>of</strong> <strong>the</strong> <strong>fisheries</strong> in Malawi. To <strong>the</strong>m I would like to say ‘feel at home’.<br />

I have noted that <strong>the</strong> programme does not provide for a field trip. However, I would like to encourage participants<br />

who will have spare time after <strong>the</strong> conference, to take a tour <strong>of</strong> <strong>the</strong> countryside, especially along Lake Malawi,<br />

where in addition to having a field observation <strong>of</strong> <strong>the</strong> issues to be discussed here, will also be able to admire <strong>the</strong><br />

scenic beauty <strong>of</strong> some spots in <strong>the</strong> country, and have a feel <strong>of</strong> ‘Malawi <strong>the</strong> Warm Heart <strong>of</strong> Africa’.<br />

Ladies and Gentleman, I have been informed that this has been organised with a view to amalgamate all research<br />

results <strong>of</strong> previous work done on <strong>lake</strong> Malawi and Lake Malombe for purpose <strong>of</strong> formulating <strong>management</strong><br />

recommendations that would ensure sustainability <strong>of</strong> <strong>the</strong> <strong>fisheries</strong> resources. My reaction to this, is that this<br />

ga<strong>the</strong>ring has come at an opportune time when <strong>the</strong> Malawi Government is looking for ways and means that would<br />

provide for <strong>the</strong> sustainable <strong>management</strong> <strong>of</strong> its natural resources including fish stocks. Recent trends in <strong>the</strong> status <strong>of</strong><br />

our <strong>fisheries</strong> show that <strong>the</strong>re is need for more <strong>management</strong> guidelines to be put in place, if <strong>the</strong> fish stocks are to be<br />

sustained. Hence Government, through <strong>the</strong> Department <strong>of</strong> Fisheries, has recommended a number <strong>of</strong> strategies<br />

aimed at nurturing and promoting efficient <strong>management</strong> <strong>of</strong> <strong>the</strong> fish resources for <strong>the</strong> benefit <strong>of</strong> <strong>the</strong> present and future<br />

generations.<br />

Ladies and gentlemen, <strong>the</strong>se responsibilities should not be taken lightly, as fish is a vital source <strong>of</strong> animal protein in<br />

Malawi, contributing about 60-70% <strong>of</strong> <strong>the</strong> nation’s animal protein supply. In addition, <strong>the</strong> <strong>fisheries</strong> sector employs<br />

directly well over 50 000 full-time artisanal fishers and about 1 000 commercial fishers. Indirectly, it <strong>of</strong>fers<br />

employment to 250 000 individuals working in <strong>fisheries</strong> related activities such as processing, marketing and boat<br />

building. Therefore, <strong>the</strong> social and economic significance <strong>of</strong> <strong>the</strong> <strong>fisheries</strong> sector in Malawi is well recognised by<br />

Government.<br />

Fur<strong>the</strong>rmore, Malawi possesses rich aquatic resources notable <strong>of</strong> which are <strong>the</strong> diverse fish species that abound in<br />

<strong>the</strong> various water bodies, especially Lake Malawi. Malawi’s fish biodiversity is unparalleled anywhere else in <strong>the</strong><br />

World. It is documented that <strong>lake</strong> Malawi harbours more that 700 species <strong>of</strong> fish, which is more than any o<strong>the</strong>r <strong>lake</strong><br />

in <strong>the</strong> world. However, less than half are scientifically described.<br />

It is in recognition <strong>of</strong> this that <strong>the</strong> Fisheries Research Unit (FRU) was set up and has been carrying out research<br />

studies on Lake Malawi and o<strong>the</strong>r <strong>lake</strong>s and rivers. These are aimed at generating <strong>management</strong> guidelines for <strong>the</strong><br />

<strong>management</strong> and sustainable exploitation <strong>of</strong> our <strong>fisheries</strong> resources. Previous activities have centred on:<br />

1. Study <strong>of</strong> biological characteristics <strong>of</strong> fish with <strong>the</strong> aim <strong>of</strong> determining growth parameters, breeding behaviour,<br />

spawning behaviour, mortalities, feeding habits and nursery grounds;<br />

2. Stock assessment involving exploratory survey in shallow and deep waters with a view to identifying underutilised<br />

fish stocks, and monitoring <strong>of</strong> <strong>the</strong> status <strong>of</strong> fish stocks under exploitation especially in <strong>the</strong> sou<strong>the</strong>rn part<br />

<strong>of</strong> Lake Malawi.<br />

3. Studies on productivity <strong>of</strong> water and its influence on fish production; and


2<br />

Lake Malawi Fisheries Management Symposium - Proceedings<br />

4. Assessment <strong>of</strong> pollutants and habitat degrading activities, and <strong>the</strong>ir effects on aquatic ecosystem productivity;<br />

and bio-diversity surveys.<br />

The results generated from <strong>the</strong> various research activities have assisted <strong>the</strong> department in coming up with <strong>fisheries</strong><br />

resource <strong>management</strong> plans, which have contributed to <strong>the</strong> formulation <strong>of</strong> various <strong>fisheries</strong> regulations, such as<br />

closed seasons, gear restrictions and controlled allocation <strong>of</strong> fishing licences to <strong>the</strong> commercial trawl fishery<br />

Similar efforts have also been made by o<strong>the</strong>r organisations such as Chancellor College <strong>of</strong> <strong>the</strong> University <strong>of</strong> Malawi,<br />

which has recently concluded a project on <strong>the</strong> ecology <strong>of</strong> some Lake Malawi fishes.<br />

However, despite all <strong>the</strong> past efforts undertaken to control and manage <strong>the</strong> fish stocks, <strong>the</strong> <strong>fisheries</strong> sector is facing<br />

serious challenges <strong>of</strong> maintaining a balance between exploitation and conservation despite a number <strong>of</strong> research<br />

projects undertaken in <strong>the</strong> country.<br />

This is partly due to <strong>the</strong> fact that <strong>the</strong> majority <strong>of</strong> such projects were undertaken at different times without<br />

considering long-term sustainability. It has, <strong>the</strong>refore, been difficult for <strong>the</strong> Department <strong>of</strong> Fisheries to derive<br />

maximum benefit from <strong>the</strong> various recommendations made by <strong>the</strong> projects. The holding <strong>of</strong> this <strong>symposium</strong> is<br />

<strong>the</strong>refore, expected to rectify this anomaly by ensuring that all previous studies are presented, discussed and<br />

integrated into <strong>the</strong> various <strong>management</strong> guidelines that have been produced for <strong>the</strong> Lake Malawi and Malombe<br />

<strong>fisheries</strong>.<br />

Ladies and Gentlemen, I am fur<strong>the</strong>r informed that in addition to providing an opportunity to amalgamate recent<br />

scientific information on <strong>lake</strong> Malawi/Malombe <strong>fisheries</strong> complex, <strong>the</strong>re will also be discussions with various<br />

stakeholders in order to formulate <strong>management</strong> plans/recommendations. The holding <strong>of</strong> discussions with<br />

stakeholders is in line with <strong>the</strong> government’s policy <strong>of</strong> involving end users in <strong>the</strong> <strong>management</strong> <strong>of</strong> our natural<br />

resources such as fish. I <strong>the</strong>refore, wish to request all <strong>of</strong> you to actively participate in <strong>the</strong> discussion in an open and<br />

transparent manner.<br />

Distinguished Guests, Ladies and Gentlemen, <strong>the</strong> fact that <strong>the</strong> presentations to be made at this <strong>symposium</strong> include<br />

biodiversity, fish biology and ecology, <strong>fisheries</strong> assessment and <strong>management</strong>, social dimensions and economics <strong>of</strong><br />

<strong>fisheries</strong> <strong>management</strong> and <strong>fisheries</strong> co-<strong>management</strong> assures <strong>the</strong> Malawi Government that <strong>the</strong> <strong>symposium</strong> is <strong>of</strong> great<br />

benefit to <strong>the</strong> nation at large. Such a diversity <strong>of</strong> issues to be discussed in this <strong>symposium</strong> will definitely contribute<br />

towards <strong>the</strong> determination <strong>of</strong> <strong>management</strong> objectives and strategies for <strong>lake</strong> Malawi/ Malombe <strong>fisheries</strong> complex.<br />

Lastly, I would like to urge this forum to look at a positive way forward for <strong>the</strong> Malawi <strong>fisheries</strong> by adopting a<br />

holistic and multi-disciplinary research approach that would always be relevant in <strong>the</strong> formulation <strong>of</strong> <strong>management</strong><br />

guidelines and evolve with environment, equity and economics. Cognisance should also be taken <strong>of</strong> <strong>the</strong> fact that for<br />

<strong>fisheries</strong> research to be an effective tool for <strong>management</strong> it should have a reliable source <strong>of</strong> funding. Therefore, it is<br />

also my hope that <strong>the</strong> forum will identify alternative sources <strong>of</strong> funding for <strong>the</strong> research programmes being<br />

proposed.<br />

At this juncture, I would like to thank GTZ for sponsoring this Symposium. My special thanks also go to <strong>the</strong><br />

organisers and <strong>management</strong> <strong>of</strong> Capital Hotel for <strong>the</strong> excellent arrangements.<br />

Distinguished Delegates, Ladies and Gentlemen, now, it is my honour to declare <strong>the</strong> International Symposium on<br />

Sustainable Management <strong>of</strong> <strong>the</strong> Fisheries in Lake Malawi/Malombe <strong>of</strong>ficially open.<br />

I thank you for your attention.


3<br />

Lake Malawi Fisheries Management Symposium - Proceedings<br />

Speech by <strong>the</strong> Director <strong>of</strong> Fisheries, S.A. Mapila, at <strong>the</strong> opening <strong>of</strong> <strong>the</strong> Lake<br />

Malawi Fisheries Management Symposium<br />

The African Great Lakes are considered dynamically fragile ecosystems that are relatively resistant to changes with<br />

which <strong>the</strong>y have co-evolved for a million years. Lake Malawi is one <strong>of</strong> <strong>the</strong> largest fresh water <strong>lake</strong>s in <strong>the</strong> world <strong>of</strong><br />

its kind in <strong>the</strong> SADC region. The <strong>lake</strong> is rich in biodiversity, <strong>of</strong> which, <strong>fisheries</strong> are a major resource for <strong>the</strong> riparian<br />

communities. During <strong>the</strong> last two decades intensive non-selective <strong>fisheries</strong> in shallow waters, extreme changes in <strong>the</strong><br />

drainage basin and <strong>lake</strong> vegetation industrialisation, and agricultural developments, have impacted upon <strong>the</strong> <strong>lake</strong>.<br />

There is a need for sound <strong>fisheries</strong> <strong>management</strong> plan to be developed and implemented, through participatory<br />

approaches, a need for sustainable utilisation <strong>of</strong> <strong>the</strong> <strong>fisheries</strong> resource through proper resource monitoring, extension<br />

and enforcement; and to increase fish production through <strong>the</strong> availability <strong>of</strong> a credit scheme to <strong>the</strong> private sector, <strong>the</strong><br />

introduction <strong>of</strong> new technologies and <strong>the</strong> building <strong>of</strong> infrastructure.<br />

The environment is <strong>the</strong> foundation <strong>of</strong> economic activity for <strong>the</strong> majority <strong>of</strong> Malawians. The unsustainable<br />

exploitation, and underdeveloped potentials, <strong>of</strong> some <strong>of</strong> <strong>the</strong> natural resources in <strong>the</strong> Lake Malawi basin have<br />

continued unabated and are challenged by a complex interaction <strong>of</strong> several factors including population growth,<br />

widespread poverty, high dependency on smallholder rain fed agriculture, inconsistencies in macro economic<br />

policies and institutional weaknesses with national capacity. The impacts <strong>of</strong> competing and unsustainable uses <strong>of</strong><br />

land and water resources are partially understood, and widely manifested throughout <strong>the</strong> Lake Malawi basin. The<br />

annual costs <strong>of</strong> land related environmental degradation in Malawi have been estimated at US$ 243m or 12% <strong>of</strong><br />

GDP.<br />

Though guidelines are and will continue to be <strong>the</strong> backbone <strong>of</strong> Malawi’s economy, since <strong>the</strong> country is not well<br />

endowed with mineral resources, <strong>the</strong> fishing industry is set to take centre stage due to major shifts in <strong>the</strong> agricultural<br />

industry. This will thus involve boosting production from inland water resources, and a commitment on <strong>the</strong> part <strong>of</strong><br />

<strong>the</strong> authorities.<br />

Fishing is one <strong>of</strong> man’s oldest activities, and it remains one <strong>of</strong> <strong>the</strong> most important, especially in Malawi. Fish is a<br />

major source <strong>of</strong> high-grade protein, and fishing is <strong>the</strong> main employment in communities along <strong>the</strong> coast and around<br />

small <strong>lake</strong>s and rivers. It is obvious that <strong>the</strong> use <strong>of</strong> <strong>the</strong>se natural resources is bound to raise a range <strong>of</strong> environmental<br />

issues. Chief amongst <strong>the</strong>m is <strong>the</strong> conservation and <strong>management</strong> <strong>of</strong> <strong>the</strong> resources <strong>the</strong>mselves, but equally important<br />

is <strong>the</strong> problem <strong>of</strong> allocating resources amongst competing individuals and social groups. This is important because<br />

without proper allocation <strong>the</strong>re is usually an unrestricted activity, which can undermine <strong>management</strong> and<br />

conservation standards. The nature <strong>of</strong> <strong>the</strong> various environmental considerations will have to depend on <strong>the</strong> nature <strong>of</strong><br />

<strong>the</strong> biological resources, <strong>the</strong> fishing operations, and <strong>the</strong>ir social, economic and administrative contexts.<br />

Most <strong>of</strong> <strong>the</strong> fish resources in Malawi are shared with neighbouring countries. Regional collaboration on <strong>the</strong>se shared<br />

water resources is going to be essential if biodiversity and production from <strong>the</strong>se water resources is going to be<br />

sustainable. Within this context, smallholder fishermen form some <strong>of</strong> <strong>the</strong> largest constituency <strong>of</strong> <strong>the</strong> roughly 100<br />

million inhabitants <strong>of</strong> sou<strong>the</strong>rn Africa. For <strong>the</strong>se fisherman, <strong>the</strong>re is a direct and immediate cause and effect<br />

relationship between supply <strong>of</strong> fish and food availability.<br />

The results are widely demonstrated by <strong>the</strong> amount <strong>of</strong> fish consumption and trade in <strong>the</strong> region. The supply <strong>of</strong> fish<br />

suffers seriously from <strong>the</strong> cyclic fluctuations in catch mainly due to climatic conditions, although 40% <strong>of</strong> <strong>the</strong><br />

population and labour force relies on <strong>fisheries</strong> for subsistence as well as employment and income.<br />

Food security cannot be divorced from poverty. Lack <strong>of</strong> sustainable income generation, vulnerability to food<br />

variability and unequal accesses to resources are issues that trap <strong>the</strong> poverty prone in food insecure situations.<br />

Increased fish production and availability can significantly affect <strong>the</strong> national nutrition.<br />

Statistics indicate that aquatic production in terms <strong>of</strong> biomass on Lake Malawi has gone up, but fishermen’s catches<br />

have remained static or even gone down over <strong>the</strong> last 10 years due to a lack <strong>of</strong> innovative technology. The fishing<br />

industry has gone back ra<strong>the</strong>r than forwards due to amongst o<strong>the</strong>r things, structural measures. While a lot <strong>of</strong><br />

information is known about <strong>the</strong> <strong>fisheries</strong> potential <strong>of</strong> Lake Malawi, a lot still needs to be known about <strong>the</strong>ir<br />

limnology, biology, physio-chemistry, hydrology and socio-economic setting. It is however known that <strong>the</strong> <strong>lake</strong><br />

supports large biomass <strong>of</strong> fish in <strong>of</strong>fshore waters, which is not being exploited.


4<br />

Lake Malawi Fisheries Management Symposium - Proceedings<br />

Early aquatic resources development projects on Lake Malawi did not meet with <strong>the</strong> expected results. During <strong>the</strong><br />

early years after independence, our government invested heavily on infrastructure using foreign assistance.<br />

However, <strong>the</strong>se facilities were poorly maintained and functioned well below capacity. Some <strong>of</strong> <strong>the</strong> reasons were bad<br />

site selection; lack <strong>of</strong> government capacity to maintain operations; lack <strong>of</strong> planning and unclear objectives. Early<br />

projects were also oriented towards donor driven research projects and transfer <strong>of</strong> untested technology. Sustainable<br />

support systems, extension services and credit facilities were not established.<br />

Following <strong>the</strong> disappointing results <strong>of</strong> this donor driven period, <strong>the</strong> Government <strong>of</strong> Malawi would like to change its<br />

project priorities to a production-oriented approach. Priority will be given to <strong>the</strong> private sector targeting <strong>the</strong><br />

commercial and small-scale fisherman. The overall approach would be to promote fish production for <strong>the</strong> potential<br />

benefits <strong>of</strong> <strong>the</strong> population.<br />

Pilot projects undertaken during previous projects have identified an effective approach to aquatic resources<br />

development on Lake Malawi. Considerable information on aquatic resources use and user’s priorities exist.<br />

Research for <strong>the</strong> future should focus on meeting food production needs in Malawi in ways that are beneficial to <strong>the</strong><br />

populace and do not degrade <strong>the</strong> natural resource base. This will involve identifying <strong>the</strong> most appropriate<br />

technological and institutional changes and policies for sustainable and equitable <strong>fisheries</strong> production. Research<br />

attempts to identify appropriate policies for stressed <strong>fisheries</strong> should be given special emphasis. Never<strong>the</strong>less, most<br />

importantly, <strong>the</strong> research should also emphasise on extension and on property rights and collective action.<br />

It is important to note that <strong>the</strong> most important issue in capture <strong>fisheries</strong> is <strong>the</strong> need to match <strong>the</strong> catch and marketing<br />

capacity <strong>of</strong> <strong>the</strong> fishery to <strong>the</strong> productivity <strong>of</strong> <strong>the</strong> resource. But in most donor driven projects this issue has been<br />

ignored, and <strong>the</strong> reason why it has been ignored is that usually <strong>the</strong> people drawing up national policies, ei<strong>the</strong>r within<br />

government or aid agencies, are seldom <strong>the</strong>mselves <strong>fisheries</strong> specialists.<br />

Resource <strong>management</strong> issues dominate ecological concerns in most <strong>fisheries</strong>, except small bodies <strong>of</strong> water under<br />

sole ownership. There are in principle two sets <strong>of</strong> issues: maintaining <strong>the</strong> biological productivity, and making <strong>the</strong><br />

optimum use <strong>of</strong> it, in social and economic terms. The latter issues are <strong>of</strong>ten given higher priorities. The main aim <strong>of</strong><br />

<strong>the</strong> Department <strong>of</strong> Fisheries is to maintain biological productivity by making sure that <strong>the</strong> resource is allocated<br />

wisely between different resource users; i.e. pair trawlers, gill netters, and purse seiners. This will mean taking<br />

explicit decisions on allocation <strong>of</strong> resources. Difficulties do arise when <strong>the</strong> resource users are in conflict as to who<br />

owns what resource.<br />

The fishes <strong>of</strong> Lake Malawi are one <strong>of</strong> <strong>the</strong> most remarkably diverse and abundant groups in <strong>the</strong> world. Some changes<br />

in species composition on <strong>the</strong> Lake Malawi <strong>fisheries</strong> have been reported. Correct identifications are necessary if<br />

ecological changes, whe<strong>the</strong>r or not <strong>the</strong> result <strong>of</strong> human impact, are to be taken into account in <strong>management</strong> plans.<br />

However, <strong>the</strong> systematic knowledge <strong>of</strong> <strong>the</strong>se projects is very poor <strong>the</strong>reby obstructing fur<strong>the</strong>r biological research.<br />

Rich as it is in flora and fauna, Lake Malawi plays host to some <strong>of</strong> <strong>the</strong> poorest people in <strong>the</strong> region, an unfortunate<br />

paradox. From <strong>the</strong> Chitipa hills to its delta in Mozambique where it empties into <strong>the</strong> Zambezi River, it has made<br />

limited economic contribution to <strong>the</strong> lives <strong>of</strong> millions <strong>of</strong> Africans who live on its banks. Only subsistence survival<br />

from wetland and floodplain food resources, and building materials <strong>of</strong>fer a meagre existence.<br />

The <strong>lake</strong>shore communities depend heavily on natural resources for a living, <strong>the</strong> result <strong>of</strong> which is a high rate <strong>of</strong><br />

environmental degradation. Firewood is a major source <strong>of</strong> energy for <strong>the</strong> communities, contributing to increasing<br />

levels <strong>of</strong> deforestation. Its waters generate hundreds <strong>of</strong> megawatts <strong>of</strong> electricity downstream annually but none <strong>of</strong><br />

this power find its way into <strong>the</strong> homes <strong>of</strong> <strong>the</strong> local communities. The few social amenities like schools and clinics,<br />

which are thinly spread in <strong>the</strong> fishing villages, do not benefit from <strong>the</strong> hydroelectric power schemes through ei<strong>the</strong>r<br />

piped water or electricity. Most fishing communities do not have secondary schools or decent clinics. The people do<br />

not have a good gravel road, let alone a tarred one, or a fixed telephone network.<br />

Lake Malawi is <strong>the</strong> largest water body in <strong>the</strong> SADC region, and yet <strong>the</strong> water is inaccessible and most <strong>of</strong>ten not<br />

potable and <strong>the</strong> communities who inhabit it’s shore face severe water shortages each year owing to non-existent<br />

infrastructure. There has never been an attempt to draw water from this massive body for <strong>the</strong> local community’s<br />

consumption.


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

The major economic activity on Lake Malawi is tourism, which is not fully exploited to reduce <strong>the</strong> poverty. Tourism<br />

generates substantial income for most <strong>of</strong> <strong>the</strong> countries in <strong>the</strong> SADC and is <strong>the</strong> economic mainstay <strong>of</strong> <strong>the</strong> Zambezi<br />

River basin. Top attractions include <strong>the</strong> <strong>lake</strong> itself, a unique blend <strong>of</strong> ecosystems that supports large animals,<br />

including elephant, hippo, lion, and hundreds <strong>of</strong> bird species and beautiful flora, and <strong>the</strong> colourful ornamental fishes.<br />

Communities in <strong>the</strong> Lake Malawi catchment are rated as poor in terms <strong>of</strong> monetary incomes but social scientists say<br />

<strong>the</strong>y could raise <strong>the</strong>ir economic status if <strong>the</strong>y fully exploited <strong>the</strong> fish resources and tourist dollars through sales <strong>of</strong><br />

local arts and crafts, and game viewing. And yet, no incentives are forthcoming to help Malawians realise this<br />

potential.<br />

The beautiful sandy beaches and impressive mixes <strong>of</strong> biodiversity are, in places, dotted with shanty dwellings,<br />

which are skilfully and shamefully tucked away amongst mansions, posh hotels and beautiful, but environmentally<br />

insensitive, leisure facilities. The large amounts <strong>of</strong> money that have been spent studying <strong>the</strong> science <strong>of</strong> <strong>the</strong> <strong>lake</strong> have<br />

not yielded much for <strong>the</strong> ordinary person who remains buried in deep poverty. The dilapidated <strong>lake</strong>shore towns<br />

exude a sense <strong>of</strong> lost opportunities. The <strong>lake</strong> slumbers with its mighty potential, impressive geography and endless<br />

variety. The <strong>lake</strong>shore situation can best be described as a mirror image <strong>of</strong> <strong>the</strong> rest <strong>of</strong> <strong>the</strong> region where many<br />

resource endowed communities wallow in poverty while <strong>the</strong>re is plenty on <strong>the</strong>ir doorstep.<br />

It is my contention that, science, strategic plans and <strong>management</strong> plans do have <strong>the</strong>ir place to play in <strong>the</strong> fishing<br />

industry, but it is now time that we should put more <strong>of</strong> our concern on <strong>the</strong> exploitation <strong>of</strong> <strong>the</strong> <strong>fisheries</strong> resources. We<br />

as a Department have done a lot in trying to promote this agenda, what we need now is a commitment. Government<br />

needs to come up and raise <strong>the</strong> portfolio <strong>of</strong> <strong>the</strong> fishing industry as a priority in Malawi.<br />

It is my hope that this <strong>symposium</strong> will go a long way in trying to resolve some <strong>of</strong> <strong>the</strong>se problems.<br />

With <strong>the</strong>se words I would like to declare this <strong>symposium</strong> open.<br />

Thank you


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

The role <strong>of</strong> <strong>the</strong> National Research Council <strong>of</strong> Malawi in protection, conservation<br />

and <strong>management</strong> <strong>of</strong> <strong>fisheries</strong> resources in Malawi<br />

Frade K. Nyondo<br />

National Research Council Of Malawi, P. O. Box 30745, Lilongwe 3. Malawi<br />

Abstract<br />

The Malawi population directly depends on <strong>the</strong> genetic resources <strong>of</strong> fauna and flora for its survival in terms <strong>of</strong> food, medicines,<br />

aes<strong>the</strong>tic values and tourism. The <strong>fisheries</strong> resources contribute a significant proportion <strong>of</strong> Malawi’s genetic resources. The water<br />

ecosystem <strong>of</strong> Malawi comprises between 500 to 1 000 fish species most <strong>of</strong> which are endemic to Malawi making it an important<br />

living aquatic resource to <strong>the</strong> country. Fish contributes 4% to <strong>the</strong> GNP, 60-70% to <strong>the</strong> consumption <strong>of</strong> <strong>the</strong> nation’s animal protein<br />

and employs a considerable proportion <strong>of</strong> <strong>the</strong> population that is engaged in fishing, fish processing, marketing, boat building and<br />

repair, engine repair, and gear supply. In addition, a number <strong>of</strong> companies are involved in <strong>the</strong> export <strong>of</strong> aquarium fish. It is<br />

disheartening to note that despite <strong>the</strong> important role <strong>the</strong> <strong>fisheries</strong> resources play in <strong>the</strong> economy <strong>of</strong> Malawi, some unscrupulous<br />

individuals have collected and exported Malawi’s <strong>fisheries</strong> resource without following proper procedures. This has led to Malawian<br />

fish being bred outside <strong>the</strong> country, making Malawi loose economic benefits and much needed foreign exchange. This situation has<br />

called for <strong>the</strong> establishment <strong>of</strong> a mechanism that allows for sustainable utilisation <strong>of</strong> <strong>fisheries</strong> resources while at <strong>the</strong> same time<br />

ensuring equitable benefit sharing from such use.<br />

Malawi is a signatory to various protocols and agreements related to <strong>fisheries</strong> resources including Convention on Biological Diversity<br />

(CBD). Malawi does not currently have a coherent policy for <strong>the</strong> sustainable utilisation <strong>of</strong> genetic resources. Fur<strong>the</strong>rmore, following<br />

<strong>the</strong> decentralisation <strong>of</strong> research clearance for foreign scientists, <strong>the</strong> system has lent itself to such abuse that it has become ra<strong>the</strong>r<br />

open to over exploitation. To overcome <strong>the</strong>se problems, <strong>the</strong> National Research Council <strong>of</strong> Malawi (NCRM) through its Genetic<br />

Resources and Biotechnology Committee (GRBC) has developed procedures and guidelines for access and collection <strong>of</strong> genetic<br />

resources in Malawi which were <strong>of</strong>ficially launched in February, 2001. These guidelines were developed based on <strong>the</strong> notion <strong>of</strong><br />

controlled access which means promoting access to genetic materials and traditional knowledge while setting terms <strong>of</strong> access<br />

based upon development priorities. This leads to low to high utilisation and compensation. NCRM has also developed draft<br />

procedures and guidelines for <strong>the</strong> conduct <strong>of</strong> research in Malawi, contractual agreement forms and has formed a taskforce to draft a<br />

benefit sharing formula.<br />

Introduction<br />

The Malawi population directly depends on <strong>the</strong> genetic resources <strong>of</strong> fauna and flora for its survival in terms <strong>of</strong> food,<br />

medicines, aes<strong>the</strong>tic values and tourism. The <strong>fisheries</strong> resources contribute a significant proportion <strong>of</strong> Malawi’s<br />

genetic resources. The water ecosystem <strong>of</strong> Malawi comprises between 500 to 1 000 fish species most <strong>of</strong> which are<br />

endemic to Malawi making it an important living aquatic resource to <strong>the</strong> country. Fish contributes 4% to <strong>the</strong> GNP,<br />

60-70% to <strong>the</strong> consumption <strong>of</strong> <strong>the</strong> nation’s animal protein, 40% to <strong>the</strong> total protein consumption <strong>of</strong> <strong>the</strong> population.<br />

In addition, <strong>fisheries</strong> employ a considerable proportion <strong>of</strong> <strong>the</strong> population that is engaged in fishing, fish processing,<br />

marketing, boat building and repair, engine repair, and gear supply. A number <strong>of</strong> companies are involved in <strong>the</strong><br />

export <strong>of</strong> aquarium fish. It is disheartening to note that despite <strong>the</strong> important role <strong>the</strong> <strong>fisheries</strong> resources play in <strong>the</strong><br />

economy <strong>of</strong> Malawi, some unscrupulous individuals have collected and exported Malawi’s <strong>fisheries</strong> resource<br />

without following proper procedures. This has led to Malawian fish being bred outside <strong>the</strong> country, making Malawi<br />

loose economic benefits and much needed foreign exchange.<br />

To safeguard <strong>the</strong> over exploitation <strong>of</strong> <strong>the</strong> country’s <strong>fisheries</strong> resources and to ensure regulated access, conservation<br />

<strong>of</strong> <strong>the</strong> <strong>fisheries</strong> resources, sustainable use <strong>of</strong> <strong>the</strong>ir components, and fair and equitable sharing <strong>of</strong> benefits arising from<br />

<strong>the</strong>ir use, <strong>the</strong> Government through various Ministries and Departments have established various committees and<br />

working groups. These committees and working groups are looking at <strong>the</strong> policy, legislative and strategic<br />

frameworks that can ensure that <strong>the</strong> <strong>fisheries</strong> resources <strong>of</strong> Malawi are protected. Realising that most <strong>of</strong> <strong>the</strong> <strong>fisheries</strong><br />

resources collected from Malawi end up being used for research purposes in o<strong>the</strong>r countries, <strong>the</strong> Government has<br />

signed and ratified a number <strong>of</strong> international agreements that are aimed at protecting <strong>the</strong> <strong>fisheries</strong> resources from<br />

erosion.<br />

The paper aims at (1) itemising <strong>the</strong> national initiatives that have been undertaken in order to protect <strong>the</strong> country’s<br />

<strong>fisheries</strong> resources, (2) <strong>the</strong> paper highlights <strong>the</strong> international agreement that Malawi has signed and some <strong>of</strong> <strong>the</strong>ir<br />

provisions, (3) <strong>the</strong> paper looks at <strong>the</strong> contents <strong>of</strong> <strong>the</strong> procedures and guidelines for access and collection <strong>of</strong> genetic<br />

resources in Malawi, (4) <strong>the</strong> paper outlines <strong>the</strong> summary <strong>of</strong> <strong>the</strong> procedures and guidelines for <strong>the</strong> conduct <strong>of</strong> research<br />

in Malawi, (5) <strong>the</strong> paper looks at NCRM as a co-ordinator <strong>of</strong> research, science and technology, (6) it looks at <strong>the</strong><br />

way forward for Malawi.


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

National initiatives towards <strong>the</strong> protection <strong>of</strong> genetic resources<br />

Several national initiatives have been undertaken in order to protect <strong>the</strong> <strong>fisheries</strong> resources <strong>of</strong> Malawi. There is <strong>the</strong><br />

Genetic Resources and Biotechnology Committee (GRBC) which falls under <strong>the</strong> National Research Council <strong>of</strong><br />

Malawi (NRCM). The Committee has <strong>the</strong> following Terms <strong>of</strong> Reference (TORs):<br />

• To institute measures harmonious with <strong>the</strong> relevant guidelines available in <strong>the</strong> country .<br />

• To ensure that collection <strong>of</strong> Malawi’s genetic materials does not lead to loss <strong>of</strong> biological diversity and/or<br />

Government Revenue.<br />

• To ensure that <strong>the</strong> importation <strong>of</strong> genetic resources (including genetically modified organisms) and<br />

germplasm does not adversely affect <strong>the</strong> conservation and sustainable use <strong>of</strong> biological diversity.<br />

• To ensure that exchange <strong>of</strong> genetic resources and germplasm is done in such a way that Malawi benefits<br />

economically from whatever is exported.<br />

• To encourage <strong>the</strong> establishment <strong>of</strong> gene banks and genetic data banks (in-situ and ex-situ) and formation <strong>of</strong><br />

strong linkages with banks including <strong>the</strong> SADC gene bank.<br />

• To advise <strong>the</strong> Government on which <strong>of</strong> <strong>the</strong> country’s genetic materials should be protected against<br />

detrimental use by researchers, collectors and traders.<br />

• To foster <strong>the</strong> dissemination <strong>of</strong> information on trends in biotechnology.<br />

• To keep abreast with <strong>the</strong> national, regional and global trends in intellectual property rights and trade.<br />

• To ensure that expatriate researchers work closely with competent Malawian researchers.<br />

• To encourage and promote endogenous development <strong>of</strong> biotechnology in areas where Malawi has<br />

comparative advantage.<br />

Secondly, <strong>the</strong> Government <strong>of</strong> Malawi developed a National Environmental Action Plan (NEAP) which was<br />

launched in December, 1994. In <strong>the</strong> NEAP, several factors that affect Fisheries resources were identified. Notable<br />

among <strong>the</strong>m were, water resource degradation, high population growth, threat to biological diversity, human habitat<br />

degradation, air pollution, climate change, and depletion <strong>of</strong> fish resources.<br />

The NEAP clearly spells out strategies and actions that need to be put in place in order to conserve, sustainably<br />

utilise and manage <strong>the</strong> <strong>fisheries</strong> resources <strong>of</strong> Malawi. Along with <strong>the</strong> NEAP, a number <strong>of</strong> policies have been put in<br />

place. Such policies include those that deal with population, <strong>fisheries</strong>, and tourism. The various policies have been<br />

enhanced through legislation to ensure that <strong>the</strong> genetic resources are protected by law. The all embracing legislation<br />

is <strong>the</strong> Environmental Management Act (EMA) which provides for <strong>the</strong>:<br />

• Identification <strong>of</strong> biological diversity.<br />

• Determination <strong>of</strong> threatened biodiversity.<br />

• Preparation and maintenance <strong>of</strong> inventory <strong>of</strong> biological diversity.<br />

• Putting in place measures for better protection and conservation <strong>of</strong> rare and endemic species <strong>of</strong> fauna and<br />

flora.<br />

• Determination <strong>of</strong> actual and potential threats to biological diversity <strong>of</strong> Malawi and devising measures that<br />

are necessary for preventing <strong>the</strong>ir loss.<br />

• Integration <strong>of</strong> conservation and sustainable use <strong>of</strong> biological diversity into sectoral or cross-sectoral plans,<br />

programmes and policies <strong>of</strong> Government, <strong>the</strong> private sector and <strong>the</strong> local communities.<br />

• Re-introduction <strong>of</strong> ex-situ species in native habitats and ecosystem provided that <strong>the</strong>y do not pose threat to<br />

in-situ species and habitats.<br />

• Establishment <strong>of</strong> regulations and guidelines to control or restrict access by any person to <strong>the</strong> genetic<br />

resources <strong>of</strong> Malawi including.<br />

• Prohibiting <strong>the</strong> exportation <strong>of</strong> germplasm except with government approval.<br />

• Providing for <strong>the</strong> sharing <strong>of</strong> benefits arising from <strong>the</strong> exploitation <strong>of</strong> germplasm originating from <strong>the</strong><br />

technology owner or <strong>the</strong> Government.<br />

• Providing for payment <strong>of</strong> fees and charges for access and export licence in respect <strong>of</strong> germplasm.<br />

• Promotion <strong>of</strong> such land use practices that are compatible with <strong>the</strong> conservation <strong>of</strong> biological diversity <strong>of</strong><br />

Malawi.<br />

• Selection and <strong>management</strong> <strong>of</strong> environmental protection areas for <strong>the</strong> conservation <strong>of</strong> various terrestrial and<br />

aquatic ecological systems <strong>of</strong> Malawi.<br />

• Establishment and <strong>management</strong> <strong>of</strong> buffer zones near environmental protection areas.<br />

• Prohibition and control <strong>of</strong> introduction <strong>of</strong> alien species.


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

• Establishment and <strong>management</strong> <strong>of</strong> germplasm banks, botanical gardens, zoos, animal orphanages, and such<br />

o<strong>the</strong>r facilities as may be prescribed.<br />

• Identification and integration <strong>of</strong> traditional knowledge into <strong>the</strong> conservation and sustainable utilisation <strong>of</strong><br />

biological diversity.<br />

In addition to <strong>the</strong> all embracing EMA, <strong>the</strong>re are sectoral legislations that also impinge on <strong>the</strong> conservation,<br />

sustainable utilisation and protection <strong>of</strong> <strong>fisheries</strong> resources. Such Acts include <strong>the</strong> Fisheries Conservation and<br />

Management Act etc.<br />

The provisions <strong>of</strong> EMA formed <strong>the</strong> basis <strong>of</strong> <strong>the</strong> objectives <strong>of</strong> <strong>the</strong> National Biodiversity Strategy and Action Plan<br />

(NBSAP). The objectives include compiling <strong>of</strong> a complete inventory <strong>of</strong> Malawi’s biological diversity, building and<br />

enhancing capacity, creating awareness <strong>of</strong> <strong>the</strong> value <strong>of</strong> conservation and sustainable use, reviewing and harmonising<br />

existing legislation, documenting indigenous knowledge and setting up <strong>of</strong> a Malawi Biodiversity Secretariat.<br />

The Government <strong>of</strong> <strong>the</strong> Republic <strong>of</strong> Malawi, recognising <strong>the</strong> importance <strong>of</strong> biological diversity in <strong>the</strong> socioeconomic<br />

development, enshrined biodiversity conservation in <strong>the</strong> new constitution in 1994 (Chapter II), Section<br />

13(d). The constitution provides for <strong>the</strong> State to conserve and enhance biodiversity, prevent <strong>the</strong> degradation <strong>of</strong> <strong>the</strong><br />

environment, provide a healthy living and working environment for <strong>the</strong> people, and accord full recognition <strong>of</strong> rights<br />

<strong>of</strong> <strong>the</strong> future generations by means <strong>of</strong> environmental protection in order to achieve sustainable development.<br />

International instruments signed and ratified by Malawi<br />

Malawi is signatory to several international agreements that have a bearing on <strong>fisheries</strong> resources. Some <strong>of</strong> <strong>the</strong>se<br />

agreements are <strong>the</strong> Convention on Biological Diversity (CBD) which Malawi signed on 15 th June, 1992 and ratified<br />

it on 28 th February, 1994. O<strong>the</strong>r agreements Convention <strong>of</strong> Wetlands <strong>of</strong> Significant Importance, Convention on<br />

International Trade in Endangered Species <strong>of</strong> Wild Fauna and Flora, African Convention on <strong>the</strong> Conservation <strong>of</strong><br />

Nature and Natural Resources, United Nations Convention on Law <strong>of</strong> <strong>the</strong> Sea, Montreal Protocol for <strong>the</strong> Protection<br />

<strong>of</strong> <strong>the</strong> Ozone Layer, United Nations Framework Convention on Climate Change, and <strong>the</strong> Convention <strong>of</strong><br />

Desertification and Drought. The emphasis in this section will be on <strong>the</strong> provisions <strong>of</strong> <strong>the</strong> CBD.<br />

The CBD provides for sovereign rights over <strong>fisheries</strong> resources and calls for regulating access on mutually agreed<br />

terms with prior informed consent. Secondly, it allows member countries to create incentive measures that would<br />

promote conservation and sustainable utilisation <strong>of</strong> <strong>fisheries</strong> resources. Thirdly, it calls for fair and equitable sharing<br />

<strong>of</strong> benefits arising out <strong>of</strong> <strong>the</strong> use <strong>of</strong> <strong>fisheries</strong> resources.<br />

The member countries are under obligation by <strong>the</strong> CBD to create incentive measures that can promote conservation<br />

and sustainable use <strong>of</strong> <strong>fisheries</strong> resources, and create sovereign rights over <strong>fisheries</strong> resources. It obliges member<br />

countries to ensure fair and equitable sharing <strong>of</strong> benefits arising out <strong>of</strong> <strong>the</strong> utilisation <strong>of</strong> <strong>fisheries</strong> resources or out <strong>of</strong><br />

utilisation <strong>of</strong> knowledge, innovations and practices <strong>of</strong> indigenous and local communities. It requires <strong>the</strong>m to regulate<br />

access to <strong>fisheries</strong> resources and traditional knowledge based on mutually-agreed terms and upon prior informed<br />

consent, and to create a mechanism to facilitate access to technology (including that which is relevant to <strong>the</strong><br />

conservation and sustainable use <strong>of</strong> <strong>fisheries</strong> resources as well as biotechnology that makes use <strong>of</strong> <strong>the</strong>se resources).<br />

Finally, it requires member countries to encourage co-operation between <strong>the</strong> government authorities and <strong>the</strong> private<br />

sector in developing methods for sustainable use <strong>of</strong> <strong>the</strong>se resources (NCRM, 2000 and Ntupanyama, undated).<br />

Procedures and guidelines for access and collection <strong>of</strong> genetic resources in<br />

Malawi<br />

The NCRM through it GRBC has developed procedures and guidelines for access and collection <strong>of</strong> genetic<br />

resources in Malawi. The guidelines clearly stipulate <strong>the</strong> users, set out <strong>the</strong> objectives to be achieved by adhering to<br />

<strong>the</strong>m, define <strong>the</strong> categories <strong>of</strong> researchers, outline <strong>the</strong> procedures and requirements for application, assign<br />

responsibilities to affiliating and certifying institutions, prescribe conditions for research and material transfer<br />

agreements and circumstances under which <strong>the</strong> certificates can be withdrawn, and oblige researchers to follow a set<br />

standard on publications and data. The guidelines also give a list <strong>of</strong> certifying institutions and contain an application<br />

form.


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

Procedures and guidelines for <strong>the</strong> conduct <strong>of</strong> research in Malawi<br />

The NCRM formed a taskforce that drafted <strong>the</strong> procedures and guidelines for <strong>the</strong> conduct <strong>of</strong> research in Malawi.<br />

The procedures are meant to enhance <strong>the</strong> quality <strong>of</strong> research in order to achieve competitiveness and relevance at<br />

national, regional and international levels. These procedures aim at assisting <strong>the</strong> NCRM and sectoral institutions to:<br />

• Appraise proposals for scientific, pr<strong>of</strong>essional and ethnical merits.<br />

• Provide mechanisms for monitoring and evaluation <strong>of</strong> research projects and activities.<br />

• Provide a framework for collaboration among researchers within <strong>the</strong> country and with international<br />

researchers.<br />

• Promote originality and complementarily in research in order to avoid unnecessary duplication.<br />

• Promote capacity building and encourage <strong>the</strong> development <strong>of</strong> sectoral programmes and research agenda.<br />

Ensure proper collection, acquisition, dissemination, storage and <strong>management</strong> <strong>of</strong><br />

research information<br />

The guidelines stipulate <strong>the</strong> need for affiliation and capacity building; provide for formats for review <strong>of</strong> research<br />

proposals, monitoring and evaluation, and dissemination <strong>of</strong> research outputs / results.<br />

NRCM as co-ordinator <strong>of</strong> research, science and technology<br />

NCRM has established several technical committees. The <strong>fisheries</strong> department is a member <strong>of</strong> committees such as<br />

<strong>the</strong> Agricultural Sciences Committee (ASC) and <strong>the</strong> Genetic Resources and Biotechnology Committee (GRBC).<br />

Likewise NRCM is a member <strong>of</strong> some committees that deal with <strong>fisheries</strong>. The NCRM in its quest to streamline <strong>the</strong><br />

research agenda in <strong>the</strong> agricultural and natural resources sector formulated <strong>the</strong> Malawi Agricultural and Natural<br />

Resources Research Master Plan. One <strong>of</strong> <strong>the</strong> taskforces that worked on <strong>the</strong> Master Plan was on <strong>fisheries</strong>. Through<br />

<strong>the</strong> Agricultural Services Project, <strong>the</strong> NCRM through <strong>the</strong> ASC funded research projects on <strong>fisheries</strong> which yielded<br />

some usable technologies under <strong>the</strong> Contract Research Programme.<br />

The way forward<br />

For Malawi to effectively conserve, protect and ensure sustainable utilisation <strong>of</strong> <strong>fisheries</strong> resources, <strong>the</strong>re a is need<br />

to do <strong>the</strong> following:<br />

• Document all <strong>the</strong> endemic and exotic <strong>fisheries</strong> resources that are in <strong>the</strong> country.<br />

• Put in place a strict monitoring system that will ensure that <strong>the</strong> purpose for <strong>the</strong> collection <strong>of</strong> <strong>the</strong> <strong>fisheries</strong><br />

resources collected is known. This means that <strong>the</strong> NCRM has to speed up <strong>the</strong> completion <strong>of</strong> <strong>the</strong> procedures<br />

and guidelines for <strong>the</strong> conduct <strong>of</strong> research in Malawi.<br />

• Ensure enforcement <strong>of</strong> <strong>the</strong> procedures and guidelines for access and collection <strong>of</strong> genetic resources in<br />

Malawi which requires building capacity in <strong>the</strong> various affiliating institutions, <strong>the</strong> NCRM and law enforces.<br />

• Create awareness on <strong>the</strong> various stakeholders on <strong>the</strong> value <strong>of</strong> Malawi’s <strong>fisheries</strong> resources and <strong>the</strong> need to<br />

protect <strong>the</strong>m. This will need to include <strong>the</strong> importance <strong>of</strong> adhering to guidelines and procedures as<br />

stipulated.<br />

• Involvement <strong>of</strong> <strong>the</strong> local communities in <strong>the</strong> protection, conservation and sustainable utilisation <strong>of</strong> <strong>fisheries</strong><br />

resources. Where this is already being done as shown in <strong>the</strong> paper, <strong>the</strong> system needs to be intensified and<br />

internalised.<br />

• Implement <strong>the</strong> recommendations.<br />

• Speed up <strong>the</strong> process <strong>of</strong> designing a benefit-sharing formula.<br />

• Adhere to international conventions and protocols that have a bearing on <strong>fisheries</strong> resources by<br />

implementing <strong>the</strong> provisions contained <strong>the</strong>rein.<br />

• Encourage <strong>the</strong> establishment <strong>of</strong> more protected areas for <strong>the</strong> conservation <strong>of</strong> <strong>fisheries</strong> resources.<br />

• Complete <strong>the</strong> formulation <strong>of</strong> contract agreement and prior informed consent forms.<br />

• Streng<strong>the</strong>n <strong>the</strong> technical arm <strong>of</strong> NRCM so that it can effectively play its co-ordination role.<br />

• Ano<strong>the</strong>r donor should be identified so that <strong>the</strong> Contract Research Programme is revitalised.<br />

Conclusion<br />

The paper has highlighted <strong>the</strong> importance <strong>of</strong> <strong>fisheries</strong> resources in Malawi in terms <strong>of</strong> food, income and tourism.<br />

Owing to <strong>the</strong> vital role <strong>the</strong>se <strong>fisheries</strong> resources play in <strong>the</strong> well being <strong>of</strong> <strong>the</strong> Malawi population, <strong>the</strong> need to


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

conserve, protect and use <strong>the</strong>m sustainably cannot be over emphasised. Procedures and guidelines for access and<br />

collection <strong>of</strong> genetic resources in Malawi have been developed for use by various stakeholders and need to be<br />

adhered to in order to ensure that Malawi benefits from <strong>the</strong> use <strong>of</strong> its <strong>fisheries</strong> resources. Enforcement <strong>of</strong> regulations<br />

is key to protection <strong>of</strong> <strong>fisheries</strong> resources. There is a need for liaison among <strong>the</strong> various parties involved to ensure<br />

that all stakeholders understand what is required <strong>of</strong> <strong>the</strong>m.<br />

References<br />

National Research Council <strong>of</strong> Malawi, 2000. Policy Recommendation, Procedures and Guidelines on Access to Genetic<br />

Resources in Malawi : Incorporating Sustainable Utilisation <strong>of</strong> Genetic Resources into Biodiversity Management<br />

Planning. Report presented at a National Workshop on Plant Genetic Resources Conservation and Understanding<br />

International Instruments on Biodiversity Related Issues Held at Lilongwe Hotel , 10 th – 13 th January 2000.<br />

Ntupanyama, Y. M., Undated. Convention on Biological Diversity and Implementation in Malawi.


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

A general overview <strong>of</strong> <strong>fisheries</strong> research and development in Malawi<br />

O. M. Kachinjika,<br />

Department <strong>of</strong> Fisheries, P. O. Box 593, Lilongwe, Malawi<br />

Abstract<br />

Historically, <strong>fisheries</strong> research and development in Malawi is strongly linked to Lake Malawi and <strong>the</strong> immense interest it has aroused<br />

to <strong>the</strong> outside world due to its sheer size (28 780 km²). Consequently, universal interest in <strong>the</strong> <strong>fisheries</strong> <strong>of</strong> Lake Malawi cropped up<br />

spontaneously, and has led to a number <strong>of</strong> research projects being commissioned, beginning with <strong>the</strong> surveys <strong>of</strong> 1939, although<br />

earlier attempts at taxonomic studies can be traced to over a century ago. The paper outlines major <strong>fisheries</strong> research projects that<br />

have been undertaken in Malawi. An attempt is made to outline how project results have influenced <strong>fisheries</strong> <strong>management</strong><br />

strategies and policies. In addition, <strong>the</strong> implications <strong>of</strong> <strong>management</strong> policy on research programs being undertaken is also<br />

highlighted. Current research programs and future plans are outlined and <strong>the</strong>ir relevance to <strong>fisheries</strong> <strong>management</strong> is evaluated<br />

Introduction<br />

Fisheries research and development in Malawi is strongly linked to Lake Malawi and <strong>the</strong> immense interest it has<br />

aroused to <strong>the</strong> outside world due to its sheer size (28 780 km 2 ), manifested by <strong>the</strong> fact that it is <strong>the</strong> third and ninth<br />

largest <strong>lake</strong> in Africa and <strong>the</strong> world, respectively. Consequently, universal interest in <strong>the</strong> <strong>fisheries</strong> <strong>of</strong> Lake Malawi<br />

can be traced to over a century ago when <strong>the</strong> first fish collections were taken by <strong>the</strong> early European explorers who<br />

came to this part <strong>of</strong> Africa, notably <strong>the</strong> early expeditions <strong>of</strong> Dr. David Livingstone (Tweddle, 1991). Specimens <strong>of</strong><br />

fish collected were deposited in natural history museums where early work was restricted to taxonomy.<br />

This paper outlines major episodes that have characterised <strong>the</strong> development <strong>of</strong> <strong>fisheries</strong> research and <strong>the</strong> <strong>fisheries</strong><br />

industry in Malawi by chronologically classifying to <strong>the</strong> present time <strong>the</strong> major projects that have taken place.<br />

These are classed as: (1) activities that took place during <strong>the</strong> period <strong>of</strong> limited or very low fishing effort; (2) projects<br />

that were aimed at maximising fish production; and (3) projects aimed at sustainability and conservation <strong>of</strong> fish and<br />

<strong>fisheries</strong> resources. For each research project, <strong>the</strong> funding agencies, objectives and major results or outputs are<br />

given in accordance with <strong>the</strong> <strong>fisheries</strong> policy and objectives prevailing at <strong>the</strong> particular time. This paper culminates<br />

in outlining currently running projects and a newly adopted approach to research project planning and development<br />

that is being advocated by <strong>the</strong> Department <strong>of</strong> Fisheries in Malawi. It <strong>the</strong>n concludes, by emphasising <strong>the</strong> need for<br />

continuous research to provide information required for effective and sustainable <strong>fisheries</strong> <strong>management</strong> measures.<br />

Phase 1- Period <strong>of</strong> limited or very low fishing effort (1939 – 1960)<br />

This is a time when <strong>the</strong> population in Malawi was small, <strong>the</strong> fishing effort was low, fishing gear was relatively<br />

ineffective and canoes could only fish in near-shore waters. This effectively meant that Malawi had large fish<br />

reserves in <strong>the</strong> areas that could not be fished. Fisheries research studies were initiated at this time, but most <strong>of</strong> it was<br />

taxonomic in nature, although some fish biology was undertaken. This period marks <strong>the</strong> first phase in <strong>fisheries</strong><br />

development.<br />

However, documented research works date just more than 50 years ago when Bertram, Borley and Trewavas<br />

conducted <strong>the</strong> first fishery surveys on Lake Malawi in 1939, and a report was produced in 1942 (Bertram et al.<br />

1942). This was followed by some biological research work on <strong>the</strong> chambo, Oreochromis spp. <strong>of</strong> <strong>the</strong> Sou<strong>the</strong>ast Arm<br />

<strong>of</strong> Lake Malawi, in 1945 – 1947, reported by Lowe (1952). These chambo studies started as a result <strong>of</strong> <strong>the</strong><br />

operations <strong>of</strong> purse seining, which were introduced into Lake Malawi in 1943, solely for <strong>the</strong> exploitation <strong>of</strong> this<br />

species group.<br />

A major breakthrough in <strong>fisheries</strong> research and development came in <strong>the</strong> mid-1950s with <strong>the</strong> formation <strong>of</strong> <strong>the</strong> Joint<br />

Fisheries Research Organisation (JFRO) in 1954. This was a research body that was shared by Malawi (<strong>the</strong>n<br />

Nyasaland) and Zambia (<strong>the</strong>n Nor<strong>the</strong>rn Rhodesia). In Malawi it had <strong>the</strong> mandate to carry out research work on Lake<br />

Malawi. The organisation set up its base at Nkhata Bay, where it carried out biological studies on some fish species,<br />

and major work on <strong>the</strong> inshore rock-dwelling fish species, locally known as ‘mbuna’. Summarily, <strong>the</strong> JFRO carried<br />

out taxonomic studies, descriptions <strong>of</strong> traditional fishing methods, experimental fishing, and also carried out limited<br />

limnological investigations. The report, by Jackson et al. (1963), covers information on hydrological data from <strong>the</strong><br />

<strong>lake</strong> and affluent rivers, invertebrate studies, a check-list on fishes and ecological zonations, biology <strong>of</strong><br />

commercially important species, experimental fishing and <strong>the</strong> traditional <strong>fisheries</strong>. The studies on mbuna, reported<br />

by Fryer (1959), contributed to evolutionary knowledge and formed a basis for subsequent studies and discussions<br />

on <strong>the</strong> topic.


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

Phase 2- Maximisation <strong>of</strong> fish production (1961 –1996)<br />

The need to redirect <strong>fisheries</strong> research to comply to national food demands, and, <strong>fisheries</strong> development<br />

requirements, led to <strong>the</strong> research focus being shifted in 1962, to Monkey Bay, in <strong>the</strong> south <strong>of</strong> Lake Malawi where<br />

new laboratories had been constructed. This was necessitated by a number <strong>of</strong> reasons, which included <strong>the</strong> desire to<br />

understand <strong>the</strong> highly productive fishery that was being exploited by purse seines, and <strong>the</strong> ready availability <strong>of</strong><br />

communication and access facilities to <strong>the</strong> outside world. At first, <strong>the</strong> new station continued some <strong>of</strong> <strong>the</strong> work that<br />

was initiated in Nkhata Bay, which included physical limnology, fish taxonomy and biology, gradually focussing<br />

more on <strong>the</strong> biology <strong>of</strong> nchila, Labeo mesops and Kampango, Bagrus meridionalis, Tweddle (1991) and gill-netting<br />

trials.<br />

Projects<br />

Various projects were undertaken to respond to <strong>the</strong> increased demand for protein supplies to <strong>the</strong> Malawi population.<br />

The impetus for this phase began with <strong>the</strong> introduction <strong>of</strong> experimental trawling in <strong>the</strong> Sou<strong>the</strong>ast Arm <strong>of</strong> Lake<br />

Malawi in 1965, which led to <strong>the</strong> development <strong>of</strong> commercial trawling in 1968. This trawling targeted virgin stocks<br />

<strong>of</strong> cichlid species unknown to science. Consequently, research studies were initiated on <strong>the</strong> taxonomy and biology<br />

<strong>of</strong> <strong>the</strong>se cichlid fishes with <strong>the</strong> aim <strong>of</strong> establishing a <strong>management</strong> and monitoring regime for this new fishery.<br />

Preliminary data collected at this time was used in detailed stock assessment work which began in 1969, aiming at<br />

monitoring <strong>the</strong> effort being applied on <strong>the</strong> fish stocks and exploring <strong>the</strong> potential for trawl <strong>fisheries</strong> in o<strong>the</strong>r parts <strong>of</strong><br />

<strong>the</strong> <strong>lake</strong>. These surveys produced some punctuated series <strong>of</strong> biomass estimates for <strong>the</strong> demersal fish stocks, and are<br />

regarded as core trawl sampling programs <strong>of</strong> <strong>fisheries</strong> research on Lake Malawi.<br />

However, <strong>the</strong> first regular trawl surveys, were undertaken by <strong>the</strong> FAO Project on Integrated Fishery Development<br />

(FAO, 1976a). The main aim was to undertake studies on stock assessment to determine <strong>the</strong> optimum sustainable<br />

yield <strong>of</strong> <strong>the</strong> newly introduced mechanised trawl fishery in <strong>the</strong> sou<strong>the</strong>rn part <strong>of</strong> Lake Malawi. It operated on <strong>the</strong><br />

premise that <strong>the</strong> stocks being exploited by <strong>the</strong> trawl <strong>fisheries</strong> were limited and so, effort had to be monitored and<br />

<strong>management</strong> measures put in place, if sustainability was to be ensured. In addition to studies on <strong>the</strong> trawl <strong>fisheries</strong>,<br />

it also did analytical work in <strong>the</strong> artisanal <strong>fisheries</strong> <strong>of</strong> <strong>the</strong> SEA and SWA <strong>of</strong> <strong>the</strong> Lake Malawi. Management<br />

recommendations included restriction <strong>of</strong> <strong>the</strong> number <strong>of</strong> licenses to be issued in each demarcated area <strong>of</strong> sou<strong>the</strong>rn<br />

part <strong>of</strong> Lake Malawi and <strong>the</strong> setting <strong>of</strong> <strong>the</strong> a 38 mm minimum mesh size restriction for <strong>the</strong> trawl cod-end. A<br />

recording system for <strong>the</strong> traditional <strong>fisheries</strong> in <strong>the</strong> country, <strong>the</strong> Catch Assessment Surveys (CAS), was put in place,<br />

and is still being used with minor modifications except in <strong>the</strong> Mangochi Fisheries District area in <strong>the</strong> sou<strong>the</strong>rn part<br />

<strong>of</strong> Lake Malawi. When <strong>the</strong> regular surveys were discontinued, changes in exploited stocks were monitored through<br />

catch and effort data from <strong>the</strong> trawl <strong>fisheries</strong>. The results <strong>of</strong> <strong>the</strong> analysis <strong>of</strong> <strong>the</strong> catch and effort data showed that <strong>the</strong><br />

numerous demersal haplochromine species, that were being exploited, were sensitive to commercial fishing<br />

operations with <strong>the</strong> average size <strong>of</strong> fish being caught decreasing. It was also observed that <strong>the</strong>re was an increase in<br />

use <strong>of</strong> illegal mesh sizes and fishing in prohibited inshore areas.<br />

These observations led to <strong>the</strong> birth <strong>of</strong> <strong>the</strong> Demersal Fisheries Reassessment Project (ODA/FRAMS Project, 1992),<br />

which re-introduced regular fishing surveys that were carried out on a quarterly basis, using <strong>the</strong> same boat and<br />

methodology as before. Partially funded by an FAO Chambo Project, <strong>the</strong> aim was to repeat <strong>the</strong> experimental<br />

trawling surveys <strong>of</strong> <strong>the</strong> early 1970s to examine <strong>the</strong> current status <strong>of</strong> <strong>the</strong> stocks with a view to assess changes that had<br />

taken place in <strong>the</strong> fishery and to determine <strong>the</strong> effect <strong>of</strong> <strong>the</strong> 38 mm minimum mesh size. These surveys showed that<br />

<strong>the</strong> exploited biomass had declined in <strong>the</strong> heavily fished areas, and that <strong>the</strong> species composition <strong>of</strong> <strong>the</strong> catches had<br />

changed from being dominated by large cichlids to mainly small haplochromines. Consequently, it was conclude<br />

that <strong>the</strong> 38 mm <strong>of</strong> <strong>the</strong> cod end was ineffective in arresting this trend. In addition, <strong>the</strong> very low levels <strong>of</strong> biomass<br />

observed in Area A led to <strong>the</strong> prohibition <strong>of</strong> trawling in <strong>the</strong> area 1992.<br />

The quarterly stock assessment surveys were continued under an ICEIDA-funded project using <strong>the</strong> new powerful<br />

research vessel, <strong>the</strong> RV Ndunduma, Banda and Tomasson (1997). The findings indicated that <strong>the</strong>re was scope for<br />

expansion <strong>of</strong> <strong>the</strong> demersal <strong>fisheries</strong>, in <strong>the</strong> deep waters <strong>of</strong> <strong>the</strong> sou<strong>the</strong>rn part <strong>of</strong> <strong>the</strong> <strong>lake</strong>. This has resulted into <strong>the</strong><br />

development <strong>of</strong> <strong>the</strong> deepwater <strong>fisheries</strong> in <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi, and <strong>the</strong>se are currently being exploited<br />

by three fishing vessels, viz: MV Kandwindwi, RV Ndunduma and <strong>the</strong> fishing vessel Chenga.<br />

In line with <strong>the</strong> <strong>fisheries</strong> development agenda <strong>of</strong> <strong>the</strong> 1970s, which focussed on maximising fish production from<br />

Lake Malawi and o<strong>the</strong>r water bodies in <strong>the</strong> country, a series <strong>of</strong> o<strong>the</strong>r research projects funded by donors were<br />

implemented. These include <strong>the</strong> UNDP/FAO Fishery Expansion Project (FAO, 1982a), which explored <strong>the</strong><br />

opportunities for <strong>fisheries</strong> development in <strong>the</strong> central and nor<strong>the</strong>rn parts <strong>of</strong> Lake Malawi. Recognising that inshore


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

stocks were over-fished, <strong>the</strong> project concentrated on <strong>the</strong> biology <strong>of</strong> <strong>the</strong> deepwater fishes <strong>of</strong> usipa, utaka, ncheni,<br />

ndunduma, sanjika, and, studies on plankton and <strong>the</strong> physical environment. Results showed that <strong>the</strong> usipa stock was<br />

characterised by extreme differences in <strong>the</strong> abundance <strong>of</strong> year-classes, posing a problem for commercial<br />

exploitation. Acoustic surveys showed fish density to be much less than in <strong>the</strong> south. Subsequent trawling indicated<br />

a low potential catch rate and limited trawlable bottom in <strong>the</strong> North. It was summarily concluded that pelagic fish<br />

resources were not sufficient to support a mechanised commercial fishery. As a result, <strong>the</strong> recommendation was that<br />

long-term studies on all aspects <strong>of</strong> <strong>the</strong> pelagic zone limnology and ecology be undertaken. This recommendation<br />

gave way to <strong>the</strong> birth <strong>of</strong> <strong>the</strong> UK/SADC Project, which conducted comprehensive studies to assess <strong>the</strong> fishery<br />

potential <strong>of</strong> <strong>the</strong> pelagic zone (Menz, 1995).<br />

The UK/SADC Lake Malawi Pelagic Fisheries Assessment Project <strong>of</strong> 1991-1994, was a regional project between<br />

Malawi, Mozambique and Tanzania, which studied Lake Malawi as one ecosystem. The aim was to assess <strong>the</strong><br />

fishery potential <strong>of</strong> <strong>the</strong> pelagic zone, through various studies that included <strong>fisheries</strong> biology, stock assessment,<br />

aquatic ecosystem trophic relationships, and quantification and determination <strong>of</strong> economically sustainable yields<br />

from new <strong>fisheries</strong> targeted at pelagic fish species. An assessment <strong>of</strong> <strong>the</strong> standing biomass for <strong>the</strong> pelagic zone<br />

was made as well as its fishery potential. The <strong>lake</strong> fly was shown to be a component <strong>of</strong> <strong>the</strong> main energy<br />

pathways. Description <strong>of</strong> <strong>the</strong> physical and chemical characteristics <strong>of</strong> <strong>the</strong> <strong>lake</strong> provided baseline data for<br />

subsequent studies including monitoring <strong>of</strong> <strong>the</strong> <strong>lake</strong> environment.<br />

This project was followed by <strong>the</strong> GEF/SADC Lake Malawi/Nyasa Bio-diversity Conservation Project, which had a<br />

somewhat similar <strong>management</strong> arrangement to <strong>the</strong> above. The goal was to create <strong>the</strong> scientific, educational and<br />

policy basis for conserving <strong>the</strong> biological diversity <strong>of</strong> <strong>the</strong> <strong>lake</strong>, and to enable <strong>the</strong> riparian states to establish higher<br />

levels <strong>of</strong> sustainable production from <strong>the</strong> Lake’s resources consistent with preserving its bio-diversity and unique<br />

ecosystem. The outputs from <strong>the</strong> project include taxonomic reviews <strong>of</strong> certain taxa, documentation <strong>of</strong> benthic<br />

macro-invertebrates in <strong>the</strong> rocky near-shore zone <strong>of</strong> Lake Malawi/Nyasa, ecological and biological studies on<br />

selected species (Duponchelle, 2000), description <strong>of</strong> physical characteristics <strong>of</strong> <strong>the</strong> <strong>lake</strong>, and <strong>the</strong> development and<br />

execution <strong>of</strong> a Lake Malawi bio-diversity awareness program. It was <strong>the</strong>n recommended to continue monitoring<br />

<strong>the</strong> parameters that had been studied, and use <strong>the</strong> subsequent results to constitute an early warning system for <strong>the</strong><br />

changes taking place in <strong>the</strong> aquatic environment.<br />

O<strong>the</strong>r Projects<br />

Several o<strong>the</strong>r projects have been implemented, one <strong>of</strong> which is <strong>the</strong> Ornamental Fisheries Research Project (1980).<br />

This was a collaborative project, which was conducted by <strong>the</strong> Fisheries Research Unit and Rhodes University<br />

toge<strong>the</strong>r with o<strong>the</strong>r scientific collaborators. The aim was to provide a sound understanding <strong>of</strong> <strong>the</strong> techniques <strong>of</strong> this<br />

trade, potential, sustainability and threats to <strong>the</strong> stocks, toge<strong>the</strong>r with problems <strong>of</strong> escape and relocation <strong>of</strong> <strong>the</strong><br />

species in <strong>the</strong> <strong>lake</strong>. It resulted in <strong>the</strong> provision <strong>of</strong> <strong>management</strong> guidelines for <strong>the</strong> government to regulate <strong>the</strong> trade.<br />

It was generally observed that <strong>the</strong> ornamental fish business was self-regulating, because <strong>of</strong> market limitations.<br />

Never<strong>the</strong>less, <strong>the</strong> project increased <strong>the</strong> knowledge <strong>of</strong> <strong>the</strong> ecology <strong>of</strong> <strong>the</strong> inshore fish stocks and widened <strong>the</strong><br />

knowledge for <strong>management</strong> <strong>of</strong> <strong>the</strong> numerous mbuna fish species, and also contributed to advancements in<br />

conservation and tourism. With such information at its disposal, <strong>the</strong> project assisted in <strong>the</strong> early planning and<br />

development <strong>of</strong> <strong>the</strong> Lake Malawi National Park, which is <strong>the</strong> first <strong>lake</strong> underwater reserve in Africa. It also<br />

increased <strong>the</strong> worldwide attention in freshwater science and generated considerable awareness <strong>of</strong> Lake Malawi<br />

natural resources.<br />

Ano<strong>the</strong>r important study was carried out by <strong>the</strong> Chambo Fisheries Research Project, which aimed to carry out<br />

biological, stock assessment and socio-economic research to provide a <strong>management</strong> plan for <strong>the</strong> chambo <strong>fisheries</strong> <strong>of</strong><br />

<strong>the</strong> Sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi, <strong>the</strong> Upper Shire River and Lake Malombe. This was in response to mounting<br />

fishing pressure in <strong>the</strong> 1980s that had caused <strong>the</strong> stocks in each fishery to be fully or over exploited.<br />

Studies centred on <strong>the</strong> elucidation <strong>of</strong> <strong>the</strong> life histories <strong>of</strong> <strong>the</strong> three chambo species in <strong>the</strong> area. These included<br />

breeding, feeding, growth, distribution and migration; description <strong>of</strong> artisanal gears and, commercial and industrial<br />

<strong>fisheries</strong> including socio-economics; quantification <strong>of</strong> contributions <strong>of</strong> fish stocks o<strong>the</strong>r than chambo; and modelling<br />

<strong>of</strong> resource exploitation patterns. The <strong>management</strong> recommendations included licensing, gear use and<br />

specifications, closed seasons and future-monitoring regimes.<br />

The project findings brought to light <strong>the</strong> crash <strong>of</strong> <strong>the</strong> chambo stocks in Lake Malombe and <strong>the</strong>ir serious depletion in<br />

<strong>the</strong> Sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi (FAO, 1993). Initially, <strong>the</strong> project aim was to study <strong>the</strong> Oreochromis spp., <strong>the</strong>


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

most economically valuable component in <strong>the</strong> Malawi <strong>fisheries</strong>, but ironically it concluded in a situation where<br />

smaller, haplochromine species were taking over as <strong>the</strong> important fishery. In Lake Malombe, chambo declined to<br />

only 6% <strong>of</strong> <strong>the</strong> total catch from 90% in 1976. The results <strong>of</strong> <strong>the</strong> Chambo Project confirmed <strong>the</strong> observations <strong>of</strong> <strong>the</strong><br />

fishing industry, which was reporting declining chambo catches and an increase in small-sized fish species as<br />

observed in Lake Malombe. These observations confirmed <strong>the</strong> fact that <strong>the</strong> <strong>fisheries</strong> sector was facing serious<br />

challenges in maintaining a balance between exploitation and conservation to achieve optimal utilisation without<br />

impairing long-term sustainability. In view <strong>of</strong> this, it was recognised that <strong>the</strong>re was a need to put in place an<br />

effective <strong>fisheries</strong> <strong>management</strong> regime that would ensure <strong>the</strong> sustainability <strong>of</strong> <strong>the</strong> fish stocks. Hence, it was<br />

recommended that national core research programmes be formulated to focus on identification <strong>of</strong> new unexploited<br />

stocks as well as <strong>the</strong> <strong>management</strong> <strong>of</strong> those stocks that are under heavy exploitation in order to sustain <strong>the</strong>ir<br />

production potentials and, where necessary, lead to a recovery <strong>of</strong> <strong>the</strong> stocks.<br />

In support <strong>of</strong> <strong>the</strong> objective <strong>of</strong> creating an effective <strong>management</strong> system while maximising production, an FAO<br />

Technical Consultation Paper (TCP) on data recording systems was commissioned under <strong>the</strong> Chambo Fisheries<br />

Research Project. This developed a gear-based, computerised data handling and analysis system, <strong>the</strong> Malawi<br />

Traditional Fisheries (MTF) for statistics in <strong>the</strong> Sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi, <strong>the</strong> Upper Shire and Lake Malombe<br />

(Alimoso et al. 1990). An evaluation <strong>of</strong> MTF and <strong>the</strong> comparison with <strong>the</strong> prevailing data collection system CAS<br />

led to <strong>the</strong> recommendation that MTF be adopted throughout <strong>the</strong> country . However, MTF proved to be costly, so<br />

that it is only carried out in <strong>the</strong> south <strong>of</strong> Lake Malawi in Mangochi District. However, Coulter (1993), referring to<br />

<strong>the</strong> need to review data collection systems, noted that statistical data is very important for monitoring purposes, and<br />

recommended a recording system that is sufficiently sensitive to detect changes in effort and CPUE, while saving<br />

costs.<br />

In response to <strong>the</strong> need to develop <strong>the</strong> <strong>fisheries</strong> industry, <strong>the</strong> WB/IDA-Fisheries Development Project was<br />

commissioned, and aimed at institutional building. The main objective was to assist Malawi to realise more fully<br />

<strong>the</strong> potential contribution <strong>of</strong> <strong>the</strong> fishery sector to <strong>the</strong> economy, while ensuring that <strong>of</strong>f-take did not exceed<br />

sustainable yields. This was to be achieved through increasing fish production, generating additional <strong>of</strong>f-farm<br />

employment and income, conservation <strong>of</strong> <strong>the</strong> natural resource and prevention <strong>of</strong> environmental degradation and<br />

improving institutional capacity for <strong>fisheries</strong> sector policy formulation, research planning, monitoring and<br />

control. Work <strong>of</strong> <strong>the</strong> research component <strong>of</strong> <strong>the</strong> project confirmed <strong>the</strong> presence <strong>of</strong> deepwater fish stocks reported<br />

in earlier studies and led to <strong>the</strong> development <strong>of</strong> <strong>the</strong> deep water <strong>fisheries</strong> which are now being exploited by newly<br />

introduced stern trawlers. In addition, determinations and assessments were made <strong>of</strong> biomass indices and species<br />

composition <strong>of</strong> <strong>the</strong> demersal fish stocks in both heavily and lightly exploited areas, resilience <strong>of</strong> <strong>the</strong> demersal fish<br />

stocks to exploitation, and economic viability <strong>of</strong> using a big fishing vessel.<br />

O<strong>the</strong>r major studies that have been undertaken on Lake Malawi include <strong>the</strong> Project on <strong>the</strong> Comprehensive Study <strong>of</strong><br />

Lake Malawi Ecology for Sustainable Development, which concentrated on <strong>the</strong> ecological aspects <strong>of</strong> <strong>fisheries</strong>. The<br />

goal <strong>of</strong> <strong>the</strong> project was to develop a research system and accumulate scientific knowledge on Lake Malawi and its<br />

surroundings for use by researchers, local communities and policy makers. The specific objectives were to: (1)<br />

streng<strong>the</strong>n ecological research and human capacity for sustainable utilisation and proper <strong>management</strong> <strong>of</strong> natural<br />

resources on Lake Malawi; (2) develop comprehensive research methods for sustainable utilisation <strong>of</strong> fish resources<br />

and; (3) establish bilateral research partnership, between Japan and Malawi (Lake Malawi Ecology Project, 1999).<br />

The project trained Malawians through postgraduate training, technician level training, and counterpart visits. It<br />

also established <strong>the</strong> Molecular Biology and Ecology Research Unit (MBERU) in <strong>the</strong> Biology Department <strong>of</strong> <strong>the</strong><br />

University <strong>of</strong> Malawi, and a field station at Cape Maclear.<br />

Environmental problems have also been addressed in <strong>the</strong> <strong>fisheries</strong> sector, one <strong>of</strong> which is <strong>the</strong> elimination <strong>of</strong> nuisance<br />

aquatic weeds. The Malawi National Water Hyacinth Control Project was set up with <strong>the</strong> aim <strong>of</strong> controlling <strong>the</strong><br />

spread <strong>of</strong> water hyacinth in Malawi’s water bodies beginning with <strong>the</strong> problems in <strong>the</strong> Shire River system. The<br />

objectives <strong>of</strong> <strong>the</strong> project are: (1) identification and development <strong>of</strong> biological control agents; (2) assessment <strong>of</strong> <strong>the</strong><br />

effects <strong>of</strong> water hyacinth on fish and invertebrate abundance and bio-diversity; (3) assessment <strong>of</strong> <strong>the</strong> impact on<br />

riparian communities; (4) establishment <strong>of</strong> a capacity to carry out limited spot chemical treatment <strong>of</strong> water<br />

hyacinth; (5) informing <strong>of</strong> local communities and <strong>the</strong> general public <strong>of</strong> <strong>the</strong> dangers <strong>of</strong> <strong>the</strong> weed and (6) support to<br />

research activities on <strong>the</strong> economic utilisation <strong>of</strong> water hyacinth. So far, <strong>the</strong> project has been able to establish<br />

breeding sites for biological control agents at Makhanga and Mangochi and rearing and distribution <strong>of</strong> <strong>the</strong><br />

biological agents is in progress. Creation <strong>of</strong> community awareness is ongoing in different districts.


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

Several o<strong>the</strong>r projects have been carried out on Lake Malawi and in various ways have contributed to <strong>the</strong> knowledge<br />

and understanding <strong>of</strong> <strong>the</strong> status <strong>of</strong> <strong>the</strong> <strong>fisheries</strong>, and recommended various effective and sustainable strategies for<br />

exploitation and <strong>management</strong> (Appendix 1). These include <strong>the</strong> Traditional Fisheries Assessment Project, which<br />

carried out a revision and development <strong>of</strong> monitoring and assessment systems for traditional <strong>fisheries</strong>, and made<br />

recommendations for modification <strong>of</strong> <strong>the</strong> existing <strong>fisheries</strong> regulations at <strong>the</strong> time. The Fisheries Research and<br />

Management Support (FRAMS) Project aimed at streng<strong>the</strong>ning <strong>the</strong> capacity <strong>of</strong> <strong>the</strong> Department <strong>of</strong> Fisheries in<br />

development <strong>of</strong> research and formulation <strong>of</strong> policy, and this resulted in <strong>the</strong> review <strong>of</strong> <strong>management</strong> and policy<br />

options <strong>of</strong> <strong>the</strong> <strong>fisheries</strong> sector. Research under <strong>the</strong> FRAMS Project, investigated <strong>the</strong> distribution and ecology <strong>of</strong> <strong>the</strong><br />

principal fish species <strong>of</strong> economic importance, involving investigations <strong>of</strong> catches in all parts <strong>of</strong> <strong>the</strong> <strong>lake</strong> in all<br />

habitats. Consequently, results <strong>of</strong> <strong>the</strong> FRAMS Project plus consultations with <strong>the</strong> fishing communities, led to <strong>the</strong><br />

establishment <strong>of</strong> <strong>the</strong> 19 mm mesh size restriction for <strong>the</strong> Nkacha net which exploits small haplochromines.<br />

Since 1966, research projects have been undertaken in o<strong>the</strong>r smaller water bodies with varying degrees <strong>of</strong><br />

importance in <strong>fisheries</strong> ranging from significance at national level, to local significance to <strong>the</strong> communities in <strong>the</strong><br />

riparian areas. The water bodies <strong>of</strong> significance are Lakes Malombe, Chirwa, Chiuta and <strong>the</strong> Lower Shire River<br />

system, which in total contribute about 30% <strong>of</strong> <strong>the</strong> total fish catch in Malawi. In general, <strong>the</strong> aim was to carry out<br />

occasional studies <strong>of</strong> salient aspects as opportunity and time permitted. The projects recommended <strong>the</strong><br />

establishment <strong>of</strong> regular catch monitoring programs, improvement <strong>of</strong> fish processing techniques and establishment<br />

<strong>of</strong> effective communication and access to <strong>the</strong>se <strong>fisheries</strong>. In perspective, it was visualised that <strong>the</strong> problems in <strong>the</strong>se<br />

water bodies would encompass environmental and socio-economic aspects, emanating from <strong>the</strong> increased use <strong>of</strong><br />

seine nets, which could lead to weed removal and a reduction in habitat diversity and exposure <strong>of</strong> fish stocks to<br />

over-fishing (Tweddle, 1983, 1991). Social-economically, it was visualised that an increase in population around<br />

<strong>the</strong>se water bodies would lead to increased pressure on <strong>the</strong> stocks, so that, coupled with any large natural<br />

fluctuations in <strong>the</strong> fishery, <strong>the</strong> riparian communities would face dire social and economic problems.<br />

Research by o<strong>the</strong>r organisations<br />

Various research programs on <strong>the</strong> <strong>fisheries</strong> <strong>of</strong> Malawi are also being undertaken by o<strong>the</strong>r organisations, and <strong>the</strong>se<br />

include <strong>the</strong> University <strong>of</strong> Malawi through its constituent colleges <strong>of</strong> Bunda College <strong>of</strong> Agriculture, Chancellor<br />

College and <strong>the</strong> Centre for Social Research. Some <strong>of</strong> <strong>the</strong> work done at Bunda College <strong>of</strong> Agriculture covers <strong>the</strong><br />

ecology <strong>of</strong> <strong>the</strong> catfish, Bathyclarias spp. and cichlid species <strong>of</strong> Lake Malombe. Chancellor College has recently<br />

concluded a research project on <strong>the</strong> ‘Comprehensive Study <strong>of</strong> <strong>the</strong> Lake Malawi Ecology for Sustainable Utilisation<br />

<strong>of</strong> <strong>the</strong> Lake Environment’ and it continues <strong>the</strong> genetic classification <strong>of</strong> Malawi fishes using <strong>the</strong> facilities at <strong>the</strong><br />

Molecular Biology and Ecology Research Unit. The Centre for Social Research is carrying out collaborative studies<br />

with <strong>the</strong> University <strong>of</strong> East Anglia, on <strong>the</strong> socio-economic aspects <strong>of</strong> <strong>fisheries</strong> and fishing communities. Rhodes<br />

University and <strong>the</strong> JLB Smith Institute <strong>of</strong> Ichthyology have collaborated with a number <strong>of</strong> institutions in Malawi and<br />

have priously participated in studies on <strong>the</strong> ornamental <strong>fisheries</strong> <strong>of</strong> Lake Malawi. In some cases, individual<br />

scientists have been able to undertake research on Lake Malawi after obtaining grants from research institutions,<br />

ei<strong>the</strong>r in <strong>the</strong>ir own capacity or as students.<br />

Phase 3 - Fisheries resource <strong>management</strong>, sustainability and conservation (1997<br />

– to <strong>the</strong> present)<br />

Despite <strong>the</strong> implementation <strong>of</strong> <strong>the</strong> various research projects in Lake Malawi and o<strong>the</strong>r water bodies, fish catches<br />

have been declining. Notable is <strong>the</strong> situation in Lake Malombe, where annual fish landings declined to less than<br />

3 000 tons in <strong>the</strong> 1990s from an average <strong>of</strong> more than 10 000 tons in <strong>the</strong> 1980s (Bulirani et al. 1999). These<br />

observations were mainly attributed to overfishing although environmental problems are also reported to be taking<br />

ground.<br />

However, <strong>the</strong> ineffectiveness <strong>of</strong> past <strong>management</strong> regulations, emanating from past research and development<br />

efforts has given important lessons to be considered in any future plans. These include:<br />

• Limited spatial coverage <strong>of</strong> research programs.<br />

• Need for a continuous review <strong>of</strong> <strong>fisheries</strong> <strong>management</strong> regulations.<br />

• Resource exploitation should conform to <strong>the</strong> objectives <strong>of</strong> sustainable <strong>management</strong> and conservation <strong>of</strong><br />

bio-diversity Research on Malawi’s water bodies should be systematic and based on <strong>the</strong>mes.<br />

• Management guidelines for <strong>the</strong> <strong>management</strong> <strong>of</strong> Lake Malawi to be formulated based on broad stakeholder<br />

consultation.<br />

• Management recommendations have to be adhered to if <strong>the</strong> goal <strong>of</strong> sustainable utilisation and conservation<br />

<strong>of</strong> biodiversity is to be achieved.


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

In view <strong>of</strong> <strong>the</strong>se experiences, <strong>the</strong> Department <strong>of</strong> Fisheries, with <strong>the</strong> assistance <strong>of</strong> <strong>the</strong> GTZ-funded National Aquatic<br />

Resource Management Program (NARMAP), has reviewed <strong>the</strong> <strong>fisheries</strong> policy and developed <strong>the</strong> Fisheries and<br />

Aquaculture Policy (1999), and a new Fisheries Conservation and Management Act (1997). These are now acting as<br />

a guiding torch for <strong>fisheries</strong> research and development in Malawi. Consequently, <strong>the</strong> mission <strong>of</strong> <strong>the</strong> Department <strong>of</strong><br />

Fisheries has been reviewed, as ‘to provide optimal framework conditions and excellent services to enable national<br />

<strong>fisheries</strong> industry to satisfy local demand for fish and increase incomes <strong>of</strong> people dependent on fish’. This is with<br />

<strong>the</strong> overall objective <strong>of</strong> enhancing <strong>the</strong> quality <strong>of</strong> life for fishing communities by increasing harvests within<br />

sustainable yields and promoting aquaculture as a source <strong>of</strong> income and to supplement fish supply from natural<br />

waters’.<br />

To achieve this policy objective, <strong>the</strong> Department <strong>of</strong> Fisheries recognises <strong>the</strong> fact that harvesting <strong>of</strong> fish stocks should<br />

be based on established sustainable yields <strong>of</strong> different species/stocks and that opportunities have to be identified to<br />

expand existing and/or new aquatic resources. Therefore, <strong>the</strong> research mission is ‘to provide information necessary<br />

for sustainable exploitation, <strong>management</strong>, conservation <strong>of</strong> bio-diversity and investment in <strong>the</strong> <strong>fisheries</strong> sector<br />

through appropriate biological, technological, socio-economic and environmental research programs’. The<br />

objectives are:<br />

• Accumulate comprehensive data on all <strong>fisheries</strong> resources for all major water bodies <strong>of</strong> Malawi.<br />

• Provide information on <strong>management</strong> <strong>of</strong> <strong>fisheries</strong> resources and aquatic environment.<br />

• Provide information on viable investment opportunities in <strong>the</strong> <strong>fisheries</strong> sector<br />

• Provide information necessary for <strong>the</strong> maintenance <strong>of</strong> aquatic biodiversity<br />

• Establish a fully operational taxonomy section by <strong>the</strong> year 2003<br />

Current and future research programs <strong>of</strong> <strong>the</strong> <strong>fisheries</strong> research unit<br />

The Department <strong>of</strong> Fisheries relies heavily on scientific information for <strong>the</strong> development <strong>of</strong> protocols and plans with<br />

which to manage Malawi’s <strong>fisheries</strong>. Essentially, sustainable <strong>management</strong> is dependent on <strong>the</strong> ability <strong>of</strong> <strong>fisheries</strong><br />

managers to determine at what levels <strong>of</strong> fishing effort, and at which gear selectivity scenarios <strong>the</strong> catch <strong>of</strong> a target<br />

species is sustainable and <strong>the</strong> spawning stock remains adequate. Therefore, <strong>the</strong> main role <strong>of</strong> <strong>the</strong> Malawi’s<br />

Government’s Fisheries Research Unit (FRU) is to provide <strong>the</strong> Department <strong>of</strong> Fisheries with such information based<br />

on understanding <strong>of</strong> <strong>the</strong> biology, life history and distribution <strong>of</strong> <strong>the</strong> target species as well as an understanding <strong>of</strong> <strong>the</strong><br />

harvesting <strong>fisheries</strong>. To achieve this, <strong>the</strong> FRU has adopted a holistic approach whereby research activities are<br />

geared towards <strong>the</strong> ultimate formulation <strong>of</strong> a <strong>management</strong> strategy for Malawi’s <strong>fisheries</strong>. This is depicted in Figure<br />

1.<br />

Therefore, current research programs have been formulated in a way that <strong>the</strong>y are aimed at addressing <strong>the</strong> immediate<br />

need <strong>of</strong> formulating strategies for <strong>the</strong> <strong>management</strong> <strong>of</strong> <strong>the</strong> fish stocks facing heavy exploitation pressure, while at <strong>the</strong><br />

same time exploring opportunities to expand existing and/or develop new <strong>fisheries</strong> resources. Such an approach is<br />

clearly illustrated in <strong>the</strong> activities that have been planned for <strong>the</strong> July 2000 – June 2001 financial year (Table 1),<br />

where <strong>the</strong>y have also been given a priority ranking depending on <strong>the</strong> state <strong>of</strong> <strong>the</strong> <strong>fisheries</strong> and <strong>the</strong> urgency with<br />

which, <strong>management</strong> information should be acquired. In this program, <strong>the</strong> research activities fall under <strong>the</strong> five<br />

categories that have been shown in Figure 1, namely gear selectivity, utilisation trends, biological surveys,<br />

population dynamics and social and economic research.


17<br />

Lake Malawi Fisheries Management Symposium - Proceedings<br />

Table 1. Research projects planned for implementation in <strong>the</strong> year 2000/2001 (after Banda et al. 2001).<br />

Project Title Priority<br />

Biological <strong>management</strong> parameters for target species in Lake Malawi 1<br />

Monitoring <strong>of</strong> catch and effort in artisenal <strong>fisheries</strong> 1<br />

Demersal monitoring surveys 1<br />

Kauni Fishery selectivity survey. 2<br />

Chilimira fishery selectivity. 2<br />

Gillnet selectivity surveys. 2<br />

Handline catch assessment and gear selectivity. 2<br />

Traditional gear selectivity surveys (Nor<strong>the</strong>rn Lake Malawi) 2<br />

A preliminary study <strong>of</strong> <strong>the</strong> effectiveness <strong>of</strong> mon<strong>of</strong>ilament gillnets in Lake Malawi 2<br />

Lake Malombe assessment programmes 2<br />

Lake Chiuta assessment programmes 2<br />

Commercial pair trawl selectivity 3<br />

Trawl net selectivity survey 3<br />

The economics <strong>of</strong> processing and distribution <strong>of</strong> small scale fishing in Lake<br />

3<br />

Malawi<br />

Demersal exploratory surveys 3<br />

Pelagic exploratory surveys 3<br />

Limnological Surveys 3<br />

Aquatic ecology and <strong>fisheries</strong> <strong>of</strong> Lake Chikukutu 4<br />

The research plans presented can be classified as ei<strong>the</strong>r discrete or long term monitoring. Discrete surveys such as<br />

<strong>the</strong> determination <strong>of</strong> species and size selectivity <strong>of</strong> <strong>the</strong> chilimira, kauni, gill net and trawl <strong>fisheries</strong> in Lake Malawi,<br />

<strong>the</strong> determination <strong>of</strong> biological parameters for major target species or rapid stock assessment <strong>of</strong> small <strong>lake</strong>s are<br />

surveys with outcomes achievable during short-term research programs (1-5) years. Long-term monitoring<br />

programs, such as catch and effort surveys and trawl surveys can only yield <strong>management</strong> information if <strong>the</strong>y are<br />

sustained over long periods (20 years). The classification <strong>of</strong> research programs on <strong>the</strong>se criteria has major<br />

implications on sources <strong>of</strong> funding. This is because while <strong>the</strong> funding for discrete surveys could be secured on an ad<br />

hoc basis from a variety <strong>of</strong> sources, <strong>the</strong> sustainability <strong>of</strong> long-term monitoring programs can only be ensured if <strong>the</strong>y<br />

are budgeted from within <strong>the</strong> Department <strong>of</strong> Fisheries. As a result, all <strong>the</strong> long-term research programs are being<br />

sponsored by a Fisheries Research Fund (FRF) that was set up under <strong>the</strong> Fisheries Conservation and Management<br />

Act (1997), while <strong>the</strong> majority <strong>of</strong> <strong>the</strong> discrete surveys are currently financed by NARMAP.<br />

Species biology<br />

• Size at maturity.<br />

• Reproductive periodicity.<br />

• Reproductive behaviour<br />

• Fecundity.<br />

• Distribution.<br />

• Age & growth.<br />

Population dynamics<br />

• Stock size.<br />

• Population structure.<br />

• Mortality rates.<br />

Determine target<br />

species<br />

Identify potential<br />

over-utilisation<br />

Predictive<br />

modelling<br />

Identify biological<br />

<strong>management</strong><br />

targets<br />

Identify<br />

implementation<br />

constraints<br />

MANAGEMENT STRATEGY<br />

Gear selectivity<br />

• Species selectivity<br />

• Size selectivity<br />

Utilisation trends<br />

• Catch rates<br />

• Effort levels<br />

Social & Economic inputs<br />

• Fishing economics.<br />

• Marketing structures.<br />

• Traditional <strong>management</strong> systems.<br />

• Stakeholders & ownership.<br />

• Migration.<br />

• Social dimensions.<br />

Figure 1. Input requirements for <strong>the</strong> formulation <strong>of</strong> a <strong>management</strong> strategy for Malawi’s <strong>fisheries</strong> (after<br />

Banda et al. 2001).


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

Conclusion<br />

Summarily, Fisheries Research and Management in Malawi has undergone an evolution process dictated by <strong>the</strong><br />

prevailing social and economic demands <strong>of</strong> each period in time. The first fish specimens were collected by<br />

enthusiasts based on interest during <strong>the</strong> early years <strong>of</strong> contact with Europeans. At that time <strong>the</strong> population in<br />

Malawi was small, <strong>the</strong> fishing effort was low, fishing gear was relatively ineffective, and canoes could only fish in<br />

near-shore waters. This effectively meant that Malawi had large fish reserves in <strong>the</strong> areas that were unable to be<br />

fished. Most <strong>of</strong> <strong>the</strong> biological research at this time was taxonomic in nature, although some fish biology was<br />

undertaken.<br />

The next phase focussed on expanding <strong>the</strong> fishery, increasing fish production, and attempts to improve resource<br />

<strong>management</strong> to ensure sustainability. This period saw <strong>the</strong> introduction <strong>of</strong> motorisation and <strong>the</strong> establishment <strong>of</strong> <strong>the</strong><br />

commercial sector, which meant that fishing was now possible in previously unfished areas. The research moved<br />

towards exploratory fishing for unutilised stocks, predicting effects <strong>of</strong> intensified effort, monitoring fish stocks,<br />

refining <strong>management</strong> regulations and seeking to understand <strong>the</strong> biological basis <strong>of</strong> sustainability. Consequently,<br />

research has tended to be event-driven and reactive and has followed <strong>the</strong> occurrence <strong>of</strong> certain <strong>fisheries</strong> production<br />

efforts, which might have seriously affected <strong>the</strong> fish in a sudden manner. These events have usually been due to<br />

sudden increase and unsustainable pressure <strong>of</strong> exploitation <strong>of</strong> a finite resource. The approach was always postmortem<br />

and focussed on finding out what had gone wrong and <strong>the</strong>n working out corrective measures.<br />

In view <strong>of</strong> <strong>the</strong> failure <strong>of</strong> previous efforts to fishery <strong>management</strong> approaches such as mesh size restrictions, closed<br />

seasons etc. <strong>the</strong> Department <strong>of</strong> Fisheries is now aiming at providing information necessary for sustainable<br />

exploitation, <strong>management</strong>, conservation <strong>of</strong> bio-diversity and investment in <strong>the</strong> <strong>fisheries</strong> sector through appropriate<br />

research studies. It is also strongly promoting <strong>the</strong> participation <strong>of</strong> <strong>the</strong> fishing communities in resource <strong>management</strong>.<br />

This means that <strong>the</strong>re is a dire need for research to be undertaken to address <strong>the</strong> following:<br />

• A review <strong>of</strong> old <strong>fisheries</strong> <strong>management</strong> regulations.<br />

• While <strong>fisheries</strong> research should respond to <strong>the</strong> immediate needs <strong>of</strong> <strong>the</strong> fishing industry, due regard should<br />

be given to sustainable <strong>management</strong> and conservation <strong>of</strong> bio-diversity.<br />

• Research on Malawi’s water bodies should be systematic and based on <strong>the</strong>mes.<br />

• Management guidelines for <strong>the</strong> <strong>management</strong> <strong>of</strong> Lake Malawi to be formulated based on broad stakeholder<br />

consultation.<br />

• Management recommendations have to be taken up by responsible authorities if our <strong>fisheries</strong> resources are<br />

to be sustained through time.<br />

To ensure orderly and systematic conduct <strong>of</strong> research in Malawi, that ensures that <strong>the</strong> country benefits from its<br />

natural resources, <strong>the</strong> Malawi Government has, through <strong>the</strong> National Research Council <strong>of</strong> Malawi, launched <strong>the</strong><br />

‘Procedures and Guidelines for Access and Collection <strong>of</strong> Genetic Resources in Malawi’. This is to be followed by<br />

all those intending to carry out research on genetic resources <strong>of</strong> Malawi.<br />

All in all, it should be concluded that <strong>fisheries</strong> research should lead to <strong>the</strong> establishment <strong>of</strong> appropriate <strong>fisheries</strong><br />

<strong>management</strong> regimes that ensure sustainable exploitation <strong>of</strong> fish stocks, protection <strong>of</strong> aquatic ecosystem integrity’<br />

and conservation <strong>of</strong> bio-diversity.<br />

References<br />

Lake Malawi Ecology Project, 1999. First Annual Report, May, 1998 – April, 1999. Department <strong>of</strong> Biology, University <strong>of</strong><br />

Malawi, 50p.<br />

Menz, A. (ed.) (1995). The Fishery Potential and Productivity <strong>of</strong> <strong>the</strong> Pelagic Zone Of Lake Malawi/Niassa. Chatham, UK:<br />

Natural Resources Institute.<br />

Bulirani, A.E., Banda, M.C., Palsson, O.K., Weyl, O.L.F., Kanyerere, G.Z., Manase, M.M. & Sipawe, R.D., 1999. Fish Stocks<br />

and Fisheries <strong>of</strong> Malawian Waters: Resource Report. Government <strong>of</strong> Malawi, Fisheries Department, Fisheries Research<br />

Unit.54pp.<br />

Ribbink, A.J. (1980). The ornamental fish project: report and recommendations<br />

Ricardo Bertram, C.K., H.J.H. Borley and E. Trewavas (1942). Report on <strong>the</strong> fish and <strong>fisheries</strong> <strong>of</strong> Lake Nyasa. London, Crown<br />

Agents, 181 p.<br />

Tweddle, D. (1983). The fish and <strong>fisheries</strong> <strong>of</strong> Lake Chiuta. Luso:J.Sci.Tech.(Malawi), 4(2):55-83.<br />

Tweddle, D. (1991). Twenty years <strong>of</strong> <strong>fisheries</strong> research in Malawi. Fisheries Bulletin No. 7, Fisheries Department, Ministry <strong>of</strong><br />

Forestry and Natural Resources, Malawi.<br />

Tweddle, D. and B.J. Mkoko (1986). A limnological bibliography <strong>of</strong> Malawi. CIFA Occ.Pap., 13:75 p.<br />

Duponchelle, F. (ed.) (2000). Fish Ecology Report: SADC /GEF Lake Malawi/Nyasa Biodiversity Conservation Project;<br />

Ministry <strong>of</strong> Natural Resources and Environmental Affairs, Lilongwe, Malawi.


19<br />

Lake Malawi Fisheries Management Symposium - Proceedings<br />

FAO (1982a). Fishery Expansion Project: findings and recommendations. Rome, FAO, FI:DP/MLW/75/019 Technical Report,<br />

21 p.<br />

Resource Report (1999). Fish stocks and Fisheries <strong>of</strong> Malawian Waters. Fisheries Research Unit, Fisheries Department, Malawi<br />

Fryer, G. (1959). The tropic interrelationships and ecology <strong>of</strong> some littoral communities <strong>of</strong> Lake Nyasa with especial reference<br />

to <strong>the</strong> fishes, and a discussion <strong>of</strong> <strong>the</strong> evolution <strong>of</strong> a group <strong>of</strong> rock-frequenting Cichlidae. Proc.Zool.Soc.Lond.,<br />

132(2):153-281<br />

Coulter, G. W. (1993). Report on Fisheries Research and Management Strategies. ODA/FRAMS Project, Malawi, 58p<br />

Banda , M. C. and T. Tomason, 1997. Demersal fish stocks in sou<strong>the</strong>rn Lake Malawi: Stock assessment and exploitation.<br />

Fisheries Bulletin No. 35, Fisheries Department, Malawi. 39pp.<br />

Banda, M.C., Chisambo, J., Sipawe, R.D., Mwakiyongo, K.R. & Weyl, O.L.F. 2001. Fisheries Research Unit, research plan:<br />

2000 & 2001. Fisheries Bulletin No. 44.<br />

FAO (1976a). Promotion <strong>of</strong> Integrated Fishery Development, Malawi: Project findings and recommendations. Rome, FAO,<br />

Terminal Report, 36 p.<br />

Jackson, P.B.N., T.D. Iles, D. Harding and G. fryer (1963). Report on <strong>the</strong> survey <strong>of</strong> Nor<strong>the</strong>rn Lake Nyasa 1954-55. Zomba,<br />

Government, 171 p.<br />

ODA/FRAMS Project (1992). Demersal Fisheries Reassessment Project, Preliminary Project Report (November, 1987 – May,<br />

1992)<br />

Lowe, R.H. (1952). Report on <strong>the</strong> Tilapia and o<strong>the</strong>r fish and <strong>fisheries</strong> <strong>of</strong> Lake Nyasa 1945-47. Part 2<br />

Fish.Publ.Colon.Off.Lond., 1(2): 126 p.<br />

Alimoso, S. B., Seisay, M. D. B. & Van Zalinge, N. P. 1990. An efficient method for catch-sampling <strong>of</strong> <strong>the</strong> artisanal chambo<br />

<strong>fisheries</strong> <strong>of</strong> <strong>the</strong> Sou<strong>the</strong>ast Arm <strong>of</strong> Lake Malawi, <strong>the</strong> Upper Shire River and Lake Malombe. FI: DP/MLW/86/013 Field<br />

Document 6.<br />

FAO (1993). Fisheries <strong>management</strong> in <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi, <strong>the</strong> Upper Shire River and Lake Malombe, with<br />

particular reference to <strong>the</strong> <strong>fisheries</strong> on chambo (Oreochromis spp). CIFA Technical Paper, No. 21. Rome, FAO, 113p.


20<br />

Lake Malawi Fisheries Management Symposium - Proceedings<br />

Economic Security and Sustainable Programmes for <strong>the</strong> African Great Lakes<br />

Benjamin P. Ngatunga 1 & Anthony Ribbink 2<br />

1 Senior Research Officer (Ichthyology), Tanzania Fisheries Research Institute, Kyela Centre, P.O. Box 98, Kyela, Mbeya Region,<br />

East Africa, [bpngatunga@hotmail.com; tafiriki@africaonline.co.tz].<br />

2 Senior Specialist Scientist, JLB Smith Institute <strong>of</strong> Ichthyology, Somerset Street, Private Bag 1015, Grahamstown 6140, South<br />

Africa, [A.Ribbink@ru.ac.za].<br />

Abstract<br />

Unquestionably, <strong>the</strong> responsibility for research, <strong>management</strong> and conservation <strong>of</strong> <strong>the</strong> aquatic resources <strong>of</strong> any nation reside with<br />

that nation. If resources are shared, such as is <strong>the</strong> case where different countries border on a single <strong>lake</strong> or river, <strong>the</strong>n <strong>the</strong><br />

responsibility is shared and co-<strong>management</strong> is required. In much <strong>of</strong> Africa, full responsibility for national resources has not been<br />

achieved. During post-colonial eras work on aquatic resources remained disproportionately in <strong>the</strong> hands <strong>of</strong> foreign workers. Initially<br />

this was due largely to both <strong>the</strong> lack <strong>of</strong> skilled capacity in Africa and to <strong>the</strong> economic inability <strong>of</strong> <strong>the</strong> new governments to meet <strong>the</strong><br />

costs <strong>of</strong> this work. While <strong>the</strong> capacity in African countries has grown, despite attrition through <strong>the</strong> “brain drain” <strong>of</strong> marketable<br />

graduates, <strong>the</strong> economies have not improved to <strong>the</strong> extent where <strong>the</strong> countries can be independent <strong>of</strong> donor participation. A series<br />

<strong>of</strong> donor-driven, short-term projects, <strong>of</strong>ten delivered in stop-start cycles, have led to situations where sustainable programmes<br />

cannot be implemented, and long-term goals cannot be set nor achieved. The most pressing step is to provide financial security to<br />

research stations or conservation units to enable <strong>the</strong>m to develop and progress towards <strong>the</strong> achievement <strong>of</strong> long-term visions. This<br />

step requires independent funding that so reduces reliance on <strong>the</strong>ir own and donor governments that financial security is obtained.<br />

Offshore investments that earn interest provide vehicles for such independence and could take <strong>the</strong> form <strong>of</strong> endowment trusts,<br />

section 21 companies or similar secure endeavours. Such funding, in addition to that <strong>of</strong> <strong>the</strong> government, would provide <strong>the</strong> firm<br />

foundation on which to launch sustainable programmes and around which to organise o<strong>the</strong>r, separately or jointly funded projects.<br />

Jointly funded projects are envisaged as partnerships between <strong>the</strong> national facility and donors or research organisations. The<br />

mechanisms for establishing endowment funds will be discussed and several examples <strong>of</strong> successful schemes will be given. Most<br />

donors and aid organisations are not favourably disposed towards making contributions to such funds, preferring ra<strong>the</strong>r to maintain<br />

<strong>the</strong> stop-start cycle <strong>of</strong> donor managed projects. It is questioned whe<strong>the</strong>r this approach is in <strong>the</strong> long-term interest <strong>of</strong> <strong>the</strong> countries<br />

receiving <strong>the</strong> support or whe<strong>the</strong>r it might be both advantageous and effective to persuade donors to think afresh. These issues are<br />

debated. It is concluded that long-term research, monitoring programmes and <strong>the</strong> achievement <strong>of</strong> conservation objectives are so<br />

dependent upon programmes that are driven by <strong>the</strong> nationals <strong>of</strong> <strong>the</strong> countries concerned, and funded in a secure manner for as long<br />

as funding is required, that it is necessary for those donors that are opposed to <strong>the</strong> establishment <strong>of</strong> investment funds to re-examine<br />

<strong>the</strong> situation and reconsider <strong>the</strong>ir policies. Ideally, to understand and manage <strong>the</strong> <strong>lake</strong>s, <strong>the</strong> programmes should have perspectives<br />

that embody <strong>the</strong> phrase “in perpetuity”. And this phrase should be applied to both <strong>the</strong> nature <strong>of</strong> <strong>the</strong> work and <strong>the</strong> financial resources<br />

that support it.<br />

Introduction<br />

As long ago as 1962, Rachel Carson pointed out that: “It is our responsibility to safeguard our genetic heritage,<br />

which we received as a fit (in trust) from <strong>the</strong> past … to hold and to manage (in trust) for <strong>the</strong> next generation.”<br />

Conservation, <strong>the</strong>refore, is a matter <strong>of</strong> trust; previous generations entrusted us with a responsibility to future<br />

generations. Although this concept has been used in numerous publications, it has not really taken hold in practical<br />

sense, partly because our role as trustees is too loose. As trusts or endowments or similar do focus attention on<br />

responsibilities and duties, and as <strong>the</strong>y do provide one <strong>of</strong> <strong>the</strong> solutions to solving problems <strong>of</strong> achieving financial<br />

security for long-term programmes, we shall explore with you <strong>the</strong> value <strong>of</strong> trusts.<br />

Although we shall refer to trusts and endowments in this paper, we do so in <strong>the</strong> knowledge that <strong>the</strong>y are not <strong>the</strong> only<br />

way to go, but also in <strong>the</strong> knowledge that <strong>the</strong>re is a history <strong>of</strong> success and a legal foundation for <strong>the</strong>ir use. Indeed,<br />

<strong>the</strong> legal basis for trusts originated in Roman times and have since evolved to be a potentially powerful tool in<br />

environmental <strong>management</strong>.<br />

We shall be dealing with trust in two forms:<br />

Our responsibilities or duties as trustees charged with caring for <strong>the</strong> environment (intergenerational moral trust), and<br />

The manner in which trustees can have <strong>the</strong> financial resources to meet <strong>the</strong>ir responsibilities (financial or endowment<br />

trust).<br />

Intergenerational trusts<br />

In <strong>the</strong> intergenerational “moral” trust it is <strong>the</strong> duty <strong>of</strong> <strong>the</strong> present generation to care for biodiversity and<br />

environmental processes so responsibly that <strong>the</strong>y do not compromise <strong>the</strong> capacity <strong>of</strong> <strong>the</strong> next generation to enjoy <strong>the</strong><br />

benefits <strong>of</strong> natural resources. This or similar statements appear regularly in communications regarding conservation<br />

<strong>of</strong> resources, but have little impact in terms <strong>of</strong> <strong>the</strong> way <strong>the</strong> general public live, except perhaps to tweak <strong>the</strong><br />

conscience <strong>of</strong> a few. Part <strong>of</strong> <strong>the</strong> reason for this is that <strong>the</strong>re is no formal trust relationship that individuals have with<br />

<strong>the</strong> environment, despite general laws or commitments in many countries that are purported to serve <strong>the</strong>se ends.


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However, <strong>the</strong> concepts and legal framework do come into play with regard to <strong>the</strong> use <strong>of</strong> resources that are governed<br />

by governments or o<strong>the</strong>r authoritative bodies. The essence <strong>of</strong> <strong>the</strong> intergenerational trust is that <strong>the</strong> present generation<br />

should harvest <strong>the</strong> resource so that <strong>the</strong> capital or principal is not compromised to <strong>the</strong> point where <strong>the</strong> next generation<br />

would be compromised. For example in a fishery, <strong>the</strong> <strong>of</strong>f-take or catch should not be so great that <strong>the</strong> remaining<br />

population will be unable to recover to meet <strong>the</strong> needs <strong>of</strong> <strong>the</strong> future generations. In general humans are in<br />

competition with each o<strong>the</strong>r to acquire a greater proportion <strong>of</strong> <strong>the</strong> environment for <strong>the</strong>mselves, paying little regard to<br />

<strong>the</strong> needs <strong>of</strong> o<strong>the</strong>rs. If altruism between individuals is not a feature <strong>of</strong> <strong>the</strong> present generation, it is unlikely that<br />

individuals <strong>of</strong> this generation are likely to meet moral responsibilities to <strong>the</strong> next generation. Therefore, until<br />

educational programmes and <strong>the</strong> poverty issues <strong>of</strong> current generations are such that individuals can afford to be<br />

altruistic, formal bodies have to assume responsibility for maintaining <strong>the</strong> environmental capital in trust for <strong>the</strong> next<br />

generation. At present this responsibility resides with central government in much <strong>of</strong> Africa, but <strong>the</strong>re is a growing<br />

movement towards decentralisation, in which departments and organisations and even communities are taking<br />

responsibility for managing <strong>the</strong> resources. Each <strong>of</strong> <strong>the</strong>se <strong>the</strong>refore has <strong>the</strong> moral responsibility <strong>of</strong> caring for <strong>the</strong><br />

resources <strong>of</strong> this generation with <strong>the</strong> eye on providing for <strong>the</strong> next generation. In Africa, many <strong>of</strong> <strong>the</strong> organisations<br />

or institutes are unable to fulfil <strong>the</strong>ir obligations, as <strong>the</strong>y do not have <strong>the</strong> financial resources or human capacity to<br />

do so. One solution is for endowment trusts to be developed that do have finances so that institutions have longterm,<br />

sustainable support. These can include village trusts where communities are charged with <strong>the</strong> responsibility <strong>of</strong><br />

managing resources with an intergenerational perspective in mind.<br />

The legal structures and a wealth <strong>of</strong> experience exists to provide trusts that have <strong>the</strong> responsibility to provide for<br />

future generations. Interestingly, <strong>the</strong> legal structures also exist in which subsequent generations can sue previous<br />

generations for stealing <strong>the</strong>ir heritage and resources if later generations are <strong>of</strong> <strong>the</strong> opinion that <strong>the</strong> resources were<br />

inadequately cared for and that <strong>the</strong>y are suffering as a consequence. This underscores <strong>the</strong> need to guard <strong>the</strong> capital<br />

carefully.<br />

Trusts, endowments and similar<br />

The problem<br />

As indicated in an outline <strong>of</strong> <strong>the</strong> <strong>the</strong>me <strong>of</strong> this meeting, poverty in Africa has led to donor driven research and<br />

conservation initiatives that are subject to stop-start cycles <strong>of</strong> sporadic funding and are consequently short-term in<br />

nature. It impedes <strong>the</strong> career paths <strong>of</strong> individuals and promotes <strong>the</strong> brain drain from countries that should retain<br />

trained capacity. This has led to situations where sustainable programmes cannot be implemented, and long-term<br />

goals cannot be set nor achieved.<br />

Needs to solve problems<br />

The most pressing step is to provide financial security to research stations or conservation units and to communities<br />

to enable <strong>the</strong>m to develop and progress towards <strong>the</strong> achievement <strong>of</strong> long-term visions. This step requires<br />

independent funding that so reduces reliance on <strong>the</strong>ir own and donor governments that financial security is obtained.<br />

Endowment trusts, or similar secure endeavours <strong>of</strong>fer possible solutions. Such funding, in addition to that <strong>of</strong><br />

governments, could provide <strong>the</strong> firm foundation on which to launch sustainable programmes and around which to<br />

organise o<strong>the</strong>r, separately or jointly funded projects. Jointly funded projects are envisaged as partnerships between<br />

<strong>the</strong> national facility and donors or research organisations or communities.<br />

Trust funds <strong>of</strong>fer one solution<br />

The Trust Fund mechanism <strong>of</strong>fers one solution. Trust funds can guarantee a degree <strong>of</strong> permanent income, and have<br />

<strong>the</strong> potential to contribute significantly to <strong>the</strong> country’s development through supporting institutional development<br />

and community initiatives, as well as assisting in <strong>the</strong> planning and development <strong>of</strong> income generating activities such<br />

as eco-tourism.<br />

What is a Trust Fund?<br />

As outlined by Barry Spergel (WWF, 1993), a “Trust Fund” is a fairly loose and general term to indicate a sum <strong>of</strong><br />

money that is legally stricted to being used for a specified purpose, separate from o<strong>the</strong>r funds such as a<br />

government’s general budget, and is managed by a board <strong>of</strong> trustees, which holds legal title to <strong>the</strong> funds. The legal<br />

form that a trust may take varies. Most <strong>of</strong> <strong>the</strong> trust funds that WWF has worked on have been “endowments”,<br />

meaning that only <strong>the</strong> interest income is spent each year and not <strong>the</strong> principal, which remains invested. However,<br />

<strong>the</strong>re are o<strong>the</strong>r forms that a trust fund may take: <strong>the</strong> entire principal may be used over a fixed number <strong>of</strong> years, or it<br />

may be set up as a “revolving fund”, so that resources come into <strong>the</strong> trust as existing funds are spent .


ENDOWMENT TRUST<br />

INTEREST<br />

CAPITAL<br />

OR<br />

PRINCIPAL<br />

CAPITAL<br />

OR<br />

PRINCIPAL<br />

May be used by present generation<br />

(biodiversity or financial)<br />

To be conserved/harvested to generate useable<br />

<strong>of</strong>f-take/interest for future generations.<br />

In perpetuity if well managed by<br />

(board <strong>of</strong>) trustees. This is sustainable<br />

DIMINISHING TRUST<br />

A grant invested in which interest plus<br />

capital or principal are used by trustees for<br />

as long as <strong>the</strong> diminishing resource lasts.<br />

This is not sustainable<br />

LIMITED LIFE EXPECTANCY<br />

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An endowment trust can have <strong>the</strong> specific goals <strong>of</strong> serving <strong>the</strong> developmental, research, conservation, educational<br />

needs <strong>of</strong> a particular institution, in which case it is ra<strong>the</strong>r like a long-term project. This is an Institutional Trust.<br />

Alternatively it may provide <strong>the</strong> financial basis for a foundation that supports a variety <strong>of</strong> environmental projects <strong>of</strong><br />

o<strong>the</strong>r organisations, acting ra<strong>the</strong>r like a donor . For <strong>the</strong> parks and research stations around <strong>the</strong> <strong>lake</strong>, <strong>the</strong> institutional<br />

endowment trust is favoured, but a foundational approach may also be desirable to ‘encourage communities’<br />

participation and provide <strong>the</strong>m with a sense <strong>of</strong> “ownership” <strong>of</strong> <strong>the</strong> responsibility to conservation. Thus, in certain<br />

circumstances we would encourage a mixture <strong>of</strong> both <strong>the</strong> institutional and foundational approach.<br />

Use <strong>of</strong> trust funds for environmental programmes is not entirely new<br />

National level trust funds for environmental or conservation purposes are an innovative financing mechanism being<br />

used by more than thirty countries. Also important are international transborder Trust initiatives (e.g. Transfrontier<br />

Natural Resource Management Areas, Trans Frontier Conservation Areas).<br />

According to a recent report commissioned by <strong>the</strong> UNDP/GEF, between 1990 and 1995 over US$50 million has<br />

been committed to environmental trust funds. A number <strong>of</strong> donors, including USAID consider an endowed<br />

foundation as potentially a better way to provide development assistance, WWF has been instrumental in <strong>the</strong><br />

development <strong>of</strong> conservation trust funds in more than 10 countries world-wide, and in part <strong>of</strong> an international forum<br />

to promote such initiatives in a wider range <strong>of</strong> countries.<br />

Environmental Trusts are used mainly to cover recurrent costs <strong>of</strong> parks and protected areas and research institutions<br />

to support <strong>the</strong> overall goal <strong>of</strong> conserving/managing biological diversity, to reduce air and water pollution, to<br />

streng<strong>the</strong>n local environmental institutions, to promote sustainable development, to promote education, community<br />

participation and public awareness, to promote projects that address problems <strong>of</strong> poverty alleviation. The emphasis<br />

has been on supporting integration <strong>of</strong> conservation and human development needs.<br />

Most such funds are independent <strong>of</strong> government in terms <strong>of</strong> <strong>the</strong>ir <strong>management</strong> (though government may be <strong>the</strong> main<br />

source <strong>of</strong> funds), and most include on <strong>the</strong>ir governing board, <strong>of</strong>ten in a major way, representatives <strong>of</strong> nongovernmental<br />

organisations (NGOs) as well as government representatives.<br />

Goals are to provide in <strong>the</strong> long-term, preferably in perpetuity intergenerational, secure financial capital that<br />

provides sufficient interest to enable <strong>the</strong> conservation <strong>of</strong> environmental capital to be achieved by nationals <strong>of</strong> <strong>the</strong><br />

country. There are numerous subsidiary goals, <strong>of</strong>ten specific to <strong>the</strong> circumstances <strong>of</strong> <strong>the</strong> area being conserved and<br />

<strong>the</strong> needs <strong>of</strong> <strong>the</strong> institution managing <strong>the</strong> trust.<br />

Advantages<br />

Environmental trust funds and foundations hold <strong>the</strong> potential to meet many needs <strong>of</strong> both donors and recipients.<br />

They are attractive in that <strong>the</strong>y provide stable financing for many activities that could not be met by national budgets<br />

or by short-term projects using donor funding. This long-term stability in funding provides a degree <strong>of</strong> insulation by


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

ensuring a dependable flow <strong>of</strong> money not affected by fluctuations in international donor money or government<br />

allocations.<br />

When <strong>the</strong>y involve domestic <strong>management</strong> <strong>of</strong> assets, <strong>the</strong>se funds instil a sense <strong>of</strong> ownership and responsibility for<br />

environmental conservation, build local capacity for financial <strong>management</strong>, and reduce <strong>the</strong> dependence on outside<br />

experts and international organisations.<br />

By providing assurance <strong>of</strong> funds in perpetuity or over a long period <strong>of</strong> time, <strong>the</strong>y enable long-term planning. And<br />

<strong>the</strong>y give individuals building careers in such fields some assurance that jobs will be available. When tied to longterm<br />

environmental action plans, funds help donors identify priority areas for funding and avoid inadvertent<br />

duplication <strong>of</strong> efforts. By including a range <strong>of</strong> stakeholders in <strong>the</strong> governance and <strong>management</strong>, funds promote<br />

democracy, strong civil societies, accountability, and consensus building, and <strong>the</strong>y build national capacity for<br />

moving towards sustainable development.<br />

Importantly too, in an intergenerational sense, all trustees are forced to focus on long-term conservation goals, are<br />

driven by <strong>the</strong> need to achieve <strong>the</strong>se and by <strong>the</strong> fact that trustees are accountable for <strong>the</strong> success or failure <strong>of</strong> such<br />

programmes. In essence, trusts <strong>of</strong> this nature powerfully underscore this generation’s commitment to meeting <strong>the</strong><br />

needs <strong>of</strong> subsequent generations by imposing duties on trustees.<br />

There are several additional reasons too why local stakeholders can fur<strong>the</strong>r benefit from nationally managed<br />

endowment trusts.<br />

Disadvantages<br />

A concern <strong>of</strong> some donors, especially when setting up an endowment is <strong>the</strong> need to release a sizeable amount <strong>of</strong><br />

money at <strong>the</strong> start <strong>of</strong> a project ra<strong>the</strong>r <strong>the</strong>n disbursing over time. A series <strong>of</strong> smaller appropriations could be a<br />

solution. However, making a large grant at <strong>the</strong> beginning could be viewed positively by donors as a way <strong>of</strong> reducing<br />

administrative costs and assuring programme continuity. In some respects, making a series <strong>of</strong> appropriations defeats<br />

<strong>the</strong> purpose <strong>of</strong> <strong>the</strong> endowment as a large sum needs to be invested for at least a year to earn <strong>the</strong> interest that drives<br />

<strong>the</strong> programme.<br />

O<strong>the</strong>r disadvantages can arise if <strong>the</strong> government departments see <strong>the</strong> trusts as competition ra<strong>the</strong>r than support.<br />

Similarly, if <strong>the</strong> communities are not included <strong>the</strong>y may be opposed to <strong>the</strong> trust that could be seen as governmental<br />

not <strong>the</strong>irs. Trusts can be caught between <strong>the</strong> two: government perceives <strong>the</strong>m to be too independent: communities<br />

perceive <strong>the</strong>m to be too governmental. It is essential, <strong>the</strong>refore, to have adequate buy-in from all stakeholders.<br />

One <strong>of</strong> <strong>the</strong> biggest problems facing Africa is that many donors do not believe that certain countries at least have <strong>the</strong><br />

capacity to manage trusts. Ra<strong>the</strong>r than help develop that capacity and to learn from experience elsewhere, such<br />

donors simply close <strong>the</strong> door on trusts and continue to opt for short-term projects that <strong>the</strong>y dominate. There are<br />

lessons from elsewhere from which everyone can benefit.<br />

Experience from elsewhere<br />

If trusts <strong>of</strong>fer attractive alternatives to donor driven, stop-start project cycles for <strong>the</strong> African Great Lakes <strong>the</strong>n it<br />

would be prudent to examine experience from elsewhere and be guided by <strong>the</strong> lessons o<strong>the</strong>rs learned. Several case<br />

histories indicate that all are different from one ano<strong>the</strong>r, some have had problems in gaining momentum and<br />

acceptance, but all seem to be on successful trajectories and as far as can be ascertained from <strong>the</strong> sample available,<br />

none has failed.<br />

Belize’s Protected Areas Conservation Trust (PACT) uses an innovative method <strong>of</strong> raising funds for <strong>the</strong><br />

conservation and <strong>management</strong> <strong>of</strong> protected areas: a conservation fee charged to all foreign tourists as <strong>the</strong>y leave <strong>the</strong><br />

country. This type <strong>of</strong> free can serve as a model for o<strong>the</strong>r countries, because it has been successful in generating<br />

revenue even at a time <strong>of</strong> sever budgetary constraints and declining international aid. Since tourism is now <strong>the</strong><br />

world’s largest industry, charging tourists even a modest conservation fee has <strong>the</strong> potential to generate large sums<br />

for <strong>management</strong> <strong>of</strong> protected areas.<br />

In addition to innovation, an equally noteworthy feature <strong>of</strong> PACT is that money generated by <strong>the</strong> conservation fee,<br />

which is essentially a tax, goes to an independent legal entity outside <strong>of</strong> Government (i.e. <strong>the</strong> TRUST). PACT is


24<br />

Lake Malawi Fisheries Management Symposium - Proceedings<br />

managed by a Board <strong>of</strong> Directors (TRUSTEES) with an equal number <strong>of</strong> members from Government and from nongovernmental<br />

organisations. This represents a new kind <strong>of</strong> partnership between Government and civil society.<br />

Ecuador is regarded as one <strong>of</strong> <strong>the</strong> richest reserves <strong>of</strong> biodiversity on <strong>the</strong> planet, and is internationally known for<br />

being host to some <strong>of</strong> <strong>the</strong> world’s most precious ecosystems, located in its tropical, Andean, and coastal regions, and<br />

<strong>the</strong> Galapagos natural park and marine reserve. There are currently no active specialised facilities to finance <strong>the</strong><br />

tremendous need for environmental <strong>management</strong> in <strong>the</strong> country. A national environmental fund, still idle, has<br />

recently been established. The creation <strong>of</strong> this fund, <strong>the</strong> Fondo Ambiental Nacional (FAN), presents an interesting<br />

case study for two reasons.<br />

One is <strong>the</strong> participatory nature <strong>of</strong> <strong>the</strong> fund’s conception process, intimately linked to innovative ideas for<br />

environmental financing. The second is those novel sources <strong>of</strong> financing <strong>the</strong>mselves. The FAN is <strong>the</strong> result <strong>of</strong><br />

initiative and work by key private and public-sector agents to grasp a historical opportunity for mobilisation <strong>of</strong><br />

significant amounts <strong>of</strong> domestic resources toward environmental <strong>management</strong>.<br />

Given Ecuador’s unique political and economic conditions in <strong>the</strong> period from 1994 to mid-1996, including<br />

economic adjustment, armed conflict with Peru, political scandals, and presidential and congressional elections, <strong>the</strong><br />

future <strong>of</strong> <strong>the</strong> fund is still uncertain, but its bases have been strongly established. This case study describes <strong>the</strong> fund’s<br />

various stages <strong>of</strong> creation, and <strong>the</strong> hurdles faced by its initiators, with <strong>the</strong> intention <strong>of</strong> placing <strong>the</strong> FAN’s experience<br />

in a real context.<br />

The idea <strong>of</strong> mobilising funds for <strong>the</strong> environment from <strong>the</strong> proceeds <strong>of</strong> State de-investment and privatisation<br />

occurred to FAN’s proponents as something almost obvious. Similarly, <strong>the</strong> idea <strong>of</strong> mobilising for <strong>the</strong> environment<br />

royalties and o<strong>the</strong>r proceeds from <strong>the</strong> exploitation <strong>of</strong> non-renewable natural resources (oil) – particularly when <strong>the</strong><br />

exploitation takes place within fragile ecosystems – also seemed ra<strong>the</strong>r obvious to a broad community <strong>of</strong> concerned<br />

individuals in academia, NGOs, <strong>the</strong> productive sector, and Government. Implementing those “obvious” ideas,<br />

putting <strong>the</strong>m into practice, is a different story. The critical mass <strong>of</strong> individuals who propelled FAN into being is<br />

aware <strong>of</strong> <strong>the</strong> resistance and difficulties that <strong>the</strong> idea will still need to overcome. However, <strong>the</strong>y felt confident that <strong>the</strong><br />

ample endorsement secured by <strong>the</strong> participatory process <strong>of</strong> creation will render both FAN and its proposed funding<br />

scheme viable for implementation under any in-coming Government.<br />

Jamaica has two National Environmental Funds. The Environmental Foundation <strong>of</strong> Jamaica (EFJ) was founded in<br />

1993. This fund began under <strong>the</strong> U.S. Government’s Enterprise for <strong>the</strong> Americans Initiative. The fund is supported<br />

exclusively by payments from <strong>the</strong> Jamaican Government, representing interest on rescheduled and reduced bilateral<br />

debt owed by Jamaica to <strong>the</strong> United States. In addition to receiving direct payment from <strong>the</strong> Government <strong>of</strong> Jamaica<br />

(GoJ), <strong>the</strong> fund is able to take advantage <strong>of</strong> <strong>the</strong> high interest rate regime in Jamaica to earn substantial interest on its<br />

capital. The EFJ’s resources, resulting from payments on reduced PL-480 and USAID debt, as well as investment<br />

earnings, are used for grants to NGOs for projects in environment and child welfare.<br />

The Jamaica National Parks Trust Fund (JNPT) was legally registered in January 1991 and capitalised with <strong>the</strong><br />

proceeds <strong>of</strong> Jamaica’s first (and <strong>the</strong> Caribbean’s second) debt-for-nature swap, on Earth Day 1992. The fund is<br />

managed primarily as an endowment and makes grants from investment income, its principal remaining untouched.<br />

The Government’s Green Paper on National Parks for Jamaica indicates that <strong>the</strong> JNPT should be <strong>the</strong> major vehicle<br />

for channelling eligible funds (<strong>of</strong> public <strong>of</strong> private origin) to <strong>the</strong> part system. To this end, <strong>the</strong> JNPT allows for<br />

donations to be tied to specific projects, parks, or geographical areas. The Government <strong>of</strong> Jamaica is expected to<br />

make annual contributions to <strong>the</strong> Fund. The Government will also help to develop proposals to bilateral and<br />

multilateral funding sources.<br />

Both funds were established through <strong>the</strong> close co-operation <strong>of</strong> <strong>the</strong> Governments <strong>of</strong> Jamaica and <strong>the</strong> United States<br />

and <strong>the</strong> Jamaica Conservation and Development Trust (JCDT), <strong>the</strong> island’s leading conservation NGO. This case<br />

study focuses on <strong>the</strong> National Parks Trust Fund, although occasionally making comparisons with <strong>the</strong> EFJ.<br />

In 1992, <strong>the</strong> Government <strong>of</strong> Peru passed legislation creating <strong>the</strong> National Trust Fund for Protected Areas<br />

(FONANPE) to assure long-term funding for <strong>the</strong> country’s protected areas. At <strong>the</strong> same time, <strong>the</strong> Government<br />

created PROFONANPE as a private, non-pr<strong>of</strong>it organization to administer <strong>the</strong> fund. Because <strong>of</strong> <strong>the</strong> timing <strong>of</strong> its<br />

creation, <strong>the</strong> new national environmental fund faced a complex panorama in terms <strong>of</strong> its potential to capture largescale<br />

national resources.<br />

On <strong>the</strong> one hand, <strong>the</strong> possibility <strong>of</strong> direct Government disbursements into FONANPE was and continues to be<br />

almost non-existent. Since <strong>the</strong> election <strong>of</strong> President Alberto Fujimori in 1990, <strong>the</strong> Government has followed a policy


25<br />

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<strong>of</strong> strict fiscal austerity and has cut spending in almost every branch <strong>of</strong> Government. Today <strong>the</strong> policy is being<br />

reaffirmed in a soon-to-be signed IMF Letter <strong>of</strong> Intent in which <strong>the</strong> Government <strong>of</strong> Peru (GOP) commits to cut<br />

spending in order to increase its primary fiscal surplus, increase domestic saving, and fend <strong>of</strong>f a potential balance <strong>of</strong><br />

payments crisis. The Government has also committed to increased tax collection, but this additional income will go<br />

to covering <strong>the</strong> lean state budget and servicing <strong>the</strong> $26 billion foreign debt.<br />

As for non-governmental sources <strong>of</strong> national funding, Peruvians have no tradition <strong>of</strong> charitable giving to<br />

environmental or o<strong>the</strong>r non-pr<strong>of</strong>it organisations and, despite increased economic stability, most Peruvians still<br />

endure great economic hardship and have little cash to spare for donations.<br />

But alongside this grim scenario, <strong>the</strong>re is a bright spot in terms <strong>of</strong> national resource mobilisation. Since 1990, <strong>the</strong><br />

GOP has been engaged in an all-out effort to “reinsert” Peru into <strong>the</strong> international financial community. A key<br />

component <strong>of</strong> this effort has been <strong>the</strong> negotiation <strong>of</strong> Peru’s foreign debt, heavily in arrears since <strong>the</strong> early 1980’s,<br />

with multilateral, bilateral, and commercial lenders. The Government’s determination to restore Peru’s<br />

creditworthiness through <strong>the</strong>se negotiations has provided one <strong>of</strong> <strong>the</strong> most important sources <strong>of</strong> funds to FONANPE,<br />

which has received more than $10 million in debt donations to date.<br />

Negotiating debt swaps, while not PROFONANPE’s only line <strong>of</strong> effort is and will continue to be <strong>the</strong> organisation’s<br />

primary focus and best hope for reaching its goal <strong>of</strong> a trust fund totalling $80 million. O<strong>the</strong>r countries that face tight<br />

budgets and extensive debt negotiations may find in Peru’s experience a useful example <strong>of</strong> how a bleak economic<br />

panorama may in fact hide a more hopeful scenario for <strong>the</strong> creation <strong>of</strong> a national environmental fund.<br />

Developing trusts<br />

Given that <strong>the</strong> advantages <strong>of</strong> environmental endowment trust out-weigh <strong>the</strong> disadvantages, and, given that <strong>the</strong>re are<br />

precedents <strong>of</strong> successful environmental trusts from which one can learn, <strong>the</strong>re seem to be compelling reasons to<br />

develop trust for <strong>lake</strong> conservation and research, particularly in developing countries. One <strong>of</strong> <strong>the</strong> first steps is to<br />

persuade donors and governments, which are reluctant to follow this route, <strong>of</strong> its great benefits. To do this, it is<br />

essential to be very well prepared in terms <strong>of</strong> defining visions, goals, modus operandi and, in every respect,<br />

complete thoroughly that <strong>the</strong> homework has been done. Also buy-in by stakeholders, particularly <strong>the</strong> village<br />

communities and sceptical governments, is an essential prerequisite to success.<br />

How to fund environmental endowments<br />

Funding can be derived from a variety <strong>of</strong> different sources. In many cases in which trusts have been formed <strong>the</strong><br />

national government has shown strong commitment by funding directly or indirectly part or all <strong>of</strong> <strong>the</strong> trust.<br />

Probably, it is worthwhile in all cases for national governments to make a partial contribution as this is an indication<br />

<strong>of</strong> sincerity and commitment that would provide additional leverage for fundraisers to use when encouraging o<strong>the</strong>rs<br />

to support <strong>the</strong> initiative. Even <strong>the</strong> poorest <strong>of</strong> governments can make contributions as <strong>the</strong>y certainly represent an<br />

investment in <strong>the</strong> future <strong>of</strong> its people and <strong>the</strong> sustainability <strong>of</strong> <strong>the</strong> resources on which <strong>the</strong>y depend.<br />

There is a broad spectrum <strong>of</strong> donors that might fund trusts (major bilateral and multilateral donor agencies), USAID<br />

and <strong>the</strong> World Bank/Global Environmental Facility, philanthropic donors such as <strong>the</strong> MacArthur Foundation and<br />

international conservation organisations including The Nature Conservancy and WWF. Though some <strong>of</strong> those that<br />

did so in <strong>the</strong> past are no longer keen on this route, favouring instead a return to stop-start projects over which <strong>the</strong>y<br />

can exercise greater donor control.<br />

How to manage environmental endowments: Investing capital<br />

The financial rationale <strong>of</strong> an endowment is to protect <strong>the</strong> value <strong>of</strong> assets while generating income from investments.<br />

Private donor organizations and bilateral and multilateral aid agencies tend to focus on short-term projects whose<br />

impact <strong>of</strong>ten dwindles after <strong>the</strong> money runs out. For <strong>the</strong>se agencies, endowments <strong>of</strong>fer a way to sustain commitment<br />

to long-term goals insulated from budgetary and political fluctuations. Operating an endowment, however,<br />

necessitates acquiring and managing assets in a way that maintains <strong>the</strong>ir value and produces income. Ideally, both<br />

<strong>the</strong> capital and <strong>the</strong> interest should grow over time if well managed, so that inflationary trends and growing needs are<br />

met. Many trusts have grown substantially since <strong>the</strong>ir initiation .<br />

Management in perpetuity<br />

Regardless <strong>of</strong> conditions in local financial markets, building a financial <strong>management</strong> capacity will pay <strong>of</strong>f when <strong>the</strong><br />

financial markets develop to <strong>the</strong> point that an endowment can be managed in perpetuity. An endowment’s financial


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managers should anticipate <strong>the</strong> various constraints on <strong>the</strong> handling <strong>of</strong> an endowment’s assets, including gift<br />

restriction imposed by donors, reporting requirements <strong>of</strong> national governments and donors, and <strong>the</strong> need for<br />

transparency and for avoiding conflicts <strong>of</strong> interest in asset <strong>management</strong> decisions. An endowment that proves able to<br />

deal with <strong>the</strong>se constraints will be attractive to potential donors.<br />

The issue <strong>of</strong> investing within <strong>the</strong> nation in which <strong>the</strong> trust is to be launched, or <strong>of</strong>fshore, or in both, has to be<br />

assessed for each case. Returns on interest are <strong>of</strong>ten better in African nations, but <strong>the</strong> devaluation <strong>of</strong> currencies and<br />

<strong>the</strong> potential for political instability, even in what are apparently strong economies (vide recent events in Zimbabwe)<br />

has to be carefully analysed by <strong>the</strong> investment house employed to manage <strong>the</strong> finances so that <strong>the</strong> trustees are wisely<br />

informed.<br />

It is an advantage for <strong>the</strong> fund to be independent and outside <strong>of</strong> government. This increases donor confidence that<br />

<strong>the</strong> funds will not be used inefficiently or redirected to o<strong>the</strong>r government concerns. It also makes <strong>the</strong> fund<br />

independent <strong>of</strong> political changes as when an election has taken place. Some donors, for example USAID, can only<br />

give funds to independent non-governmental organisations, or to funds where <strong>the</strong> <strong>management</strong> board has a majority<br />

<strong>of</strong> NGO representatives. However, <strong>the</strong> Trust needs to have a good relationship with government and be in line with<br />

government policy in order to solicit <strong>the</strong> political good will to make <strong>the</strong> fund functional. It is also clear that <strong>the</strong> fund<br />

cannot replace <strong>the</strong> government’s normal budgetary commitment to environmental conservation activities, but must<br />

support <strong>the</strong>m.<br />

Long-term investments for nature, research, education<br />

Endowments are defined as assets that are invested to earn income to be used in support <strong>of</strong> a defined purpose.<br />

Funds can take several different forms (a trust set up by special legislation, a foundation, a common law trust, a nonpr<strong>of</strong>it<br />

corporation) but nearly all take <strong>the</strong> form <strong>of</strong> an endowment.<br />

Answerability and accountability<br />

Appointment <strong>of</strong> <strong>the</strong> board <strong>of</strong> trustees should follow <strong>the</strong> legally established procedures and should benefit from <strong>the</strong><br />

wealth <strong>of</strong> experience that exists already (see case histories). Importantly, <strong>the</strong> trustees have to be fully accountable for<br />

<strong>the</strong>ir performance in both <strong>the</strong> achievement <strong>of</strong> environmental goals and in financial <strong>management</strong> <strong>of</strong> <strong>the</strong> capital and<br />

interest, preferably showing an annual growth <strong>of</strong> both.<br />

Conclusion<br />

Long-term research and monitoring programmes and <strong>the</strong> achievement <strong>of</strong> conservation objectives are so dependent<br />

upon programmes that are driven by <strong>the</strong> nationals <strong>of</strong> <strong>the</strong> countries concerned, and funded in a secure manner for as<br />

long as funding is required, that <strong>the</strong> establishment <strong>of</strong> trust funds or similar forms <strong>of</strong> sustainable secure funding<br />

presents an attractive option. Perhaps is it is necessary for those donors that are opposed to <strong>the</strong> establishment <strong>of</strong><br />

investment funds to re-examine <strong>the</strong> situation and reconsider <strong>the</strong>ir policies. Ideally, to understand and manage <strong>the</strong><br />

<strong>lake</strong>s, <strong>the</strong> programmes should have perspectives that embody <strong>the</strong> phrase “in perpetuity”. And this phrase should be<br />

applied to both <strong>the</strong> nature <strong>of</strong> <strong>the</strong> work and <strong>the</strong> financial resources that support it. Whe<strong>the</strong>r in <strong>the</strong> context <strong>of</strong> <strong>lake</strong><br />

Malawi/Niassa/Nyasa each station or park, such as a Kyela, Metangula, <strong>the</strong> <strong>lake</strong> Malawi National Park, Senga Bay<br />

and o<strong>the</strong>rs should have independent trusts, each managed by <strong>the</strong>ir own trustees, or whe<strong>the</strong>r <strong>the</strong>re should be a multinational<br />

Trust for <strong>the</strong> entire <strong>lake</strong> are issues that need not be debated in this paper. What is clear is that trusts<br />

managed in perpetuity do <strong>of</strong>fer a compelling alternative to <strong>the</strong> stop-start cycles <strong>of</strong> donor projects.


27<br />

Lake Malawi Fisheries Management Symposium - Proceedings<br />

The need to maintain Maximum Biodiversity in Lake Nyasa<br />

Benjamin Peter Ngatunga<br />

Senior Research Officer (Ichthyology), Tanzania Fisheries Research Institute, Kyela Centre, P.O. Box 98, Kyela, Mbeya, Tanzania,<br />

East Africa<br />

Abstract<br />

Lake Nyasa fish fauna comprises more than 1 000 species, mainly cichlids, and is thus unique among freshwater <strong>lake</strong>s. But tension<br />

exists between motives ei<strong>the</strong>r to conserve or exploit <strong>the</strong> fish resource. In Lake Nyasa small scale fishery exploits <strong>the</strong> inshore<br />

resources, principal fish taken are mainly cichlids which comprise up to 90% <strong>of</strong> <strong>the</strong> total landings. Cichlids have low fecundity and<br />

are k-selected <strong>the</strong>refore have low rates <strong>of</strong> recovery in face <strong>of</strong> stock collapse. Thus what is happening today in Lake Nyasa has great<br />

consequences for tomorrow. Such a scenario provides <strong>the</strong> motive and desire for conservation <strong>of</strong> <strong>the</strong> Lake Nyasa fish fauna. We<br />

care about biodiversity and we wish to maintain or conserve it because we see value in biodiversity. The term, biodiversity has<br />

become so much <strong>of</strong> a buzzword dominated global environmental debate, that it is <strong>of</strong>ten difficult to focus on <strong>the</strong> critical issues that<br />

face society. The six categories <strong>of</strong> biodiversity values relevant to Lake Nyasa are presented and discussed and <strong>the</strong> need to maintain<br />

biodiversity in Lake Nyasa is deliberated using a poverty degradation feed-back cycle.<br />

Introduction<br />

Biodiversity – a new gimmick?<br />

According to Ghilarov (1996), <strong>the</strong> term biodiversity appeared in ecological literature in <strong>the</strong> middle <strong>of</strong> <strong>the</strong> 1980s and<br />

in less than 10 years it became so popular that for <strong>the</strong> external observer <strong>the</strong> whole situation looks like a successful<br />

breakthrough in some new field <strong>of</strong> science. Today biodiversity has become an everyday word not just for ecologists<br />

but for politicians, <strong>the</strong> media and <strong>the</strong> general public too. It seems, however, that <strong>the</strong> real reason for this burst in<br />

interest in biodiversity (or ra<strong>the</strong>r this rapid increase in <strong>the</strong> usage <strong>of</strong> <strong>the</strong> term ‘biodiversity’) lies outside <strong>the</strong> sphere <strong>of</strong><br />

science. To many pr<strong>of</strong>essional ecologists, perhaps it sounds <strong>of</strong>fensive, yet I shall dare to claim that <strong>the</strong> term<br />

‘biodiversity’ became so popular, primarily because it’s usage facilitates greater access to research funding. So we<br />

might consider ‘biodiversity’ as a useful fad that helps many ecologists to survive doing science.<br />

The term ‘Biodiversity’ has become so much part <strong>of</strong> <strong>the</strong> buzzword dominated global environmental debate that it is<br />

<strong>of</strong>ten difficult to focus on critical issues that face <strong>the</strong> society. Biodiversity can be defined in its narrow sense as:<br />

“The variety and variability among living organisms and <strong>the</strong> ecological complexities in which <strong>the</strong>y occur” (FAO,<br />

1994). Biodiversity can be measured in terms <strong>of</strong> ecosystems, species and genes (Whittaker, 1972, Harper &<br />

Hawksworth, 1994).<br />

But a more relevant view <strong>of</strong> biodiversity, especially to African societies comes from its larger resource oriented<br />

sense. “In Africa biodiversity is a matter <strong>of</strong> survival, it is critical for life at grass root level. It is a total variety <strong>of</strong><br />

living matter on which society depends. It provides ecosystem resilience, to allow both people and natural<br />

communities to cope with periodic environmental stress” (FAO, 1994).<br />

Why care about biodiversity?<br />

We care about biodiversity and we wish to maintain or conserve biodiversity because we see value in biodiversity.<br />

This brings us back to <strong>the</strong> starting point <strong>of</strong> value to which part <strong>of</strong> <strong>the</strong> society. The debate on biodiversity revolves<br />

around two opposite poles <strong>of</strong> <strong>the</strong> society.<br />

At one end is <strong>the</strong> developed western world interested in global values and <strong>the</strong> options values <strong>of</strong> biodiversity. It was<br />

<strong>the</strong> western world, which devised <strong>the</strong> funding mechanism such as <strong>the</strong> GEF to address <strong>the</strong>se global values. At <strong>the</strong><br />

o<strong>the</strong>r end are <strong>the</strong> local communities in <strong>the</strong> developing world, who depend on <strong>the</strong> biological resources <strong>of</strong> natural and<br />

man modified ecosystems for <strong>the</strong>ir livelihood.<br />

We thus have polarisation <strong>of</strong> North versus South, Central government versus local government and western<br />

protectionism versus local utilisation.<br />

Conservation International stresses that <strong>the</strong>re are mainly five categories <strong>of</strong> biodiversity values.<br />

1. Major ecosystem functions (catchment, soil formation, nutrient cycling).<br />

2. International export values (timber, beeswax, tourist spectacles, and medicines).<br />

3. Regional and local market values (food, poles and medicine).<br />

4. Household use values (food, cultural, construction, and fuel).


5. Global intangible values (carbon sequestration, science).<br />

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These values are, however, not all mutually exclusive, for example ‘mbuna’ stocks maintained for international<br />

export value will also provide global benefit. For developing countries like Malawi, Mozambique and Tanzania,<br />

emphasis for conserving <strong>the</strong> stocks <strong>of</strong> ‘mbuna’ is based on <strong>the</strong>ir utilitarian export values, not <strong>the</strong>ir long lists <strong>of</strong> Latin<br />

names <strong>of</strong> endemic species.<br />

Lake Nyasa, a biodiversity ‘hot-spot’<br />

The global water reserves comprise <strong>of</strong> 97.5% salt water and 2.5% fresh water. Surprisingly, only a tiny percentage<br />

(less than 0.01%) <strong>of</strong> <strong>the</strong> global total water reserve is comprised <strong>of</strong> rivers and <strong>lake</strong>s. The remainder is ground water,<br />

glacier and permanent snow and soil moisture, permafrost and swamp water. Yet this tiny percentage holds a<br />

tremendous diversity <strong>of</strong> life. Of <strong>the</strong> 20 000+ species <strong>of</strong> fishes described so far by scientists (and many more remain<br />

to be described), 40% live in freshwater. In o<strong>the</strong>r words, almost half <strong>of</strong> <strong>the</strong> fish biodiversity is contained within a<br />

very vulnerable 0.01% <strong>of</strong> <strong>the</strong> earth’s water.<br />

GLOBAL WATER<br />

RESERVES<br />

FRESH<br />

(2.5%)<br />

SALT<br />

(97.5%)<br />

2.5%<br />

0.9%<br />

Soil moisture,<br />

permafrost, swamp<br />

water<br />

69%<br />

Glaciers and<br />

permanent snow<br />

cover<br />

0.3%<br />

Rivers and <strong>lake</strong>s<br />

(


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The importance <strong>of</strong> Lake Malawi cichlids as a source <strong>of</strong> protein cannot be over emphasised; <strong>the</strong>y are a crucial<br />

resource both as natural populations and subjects <strong>of</strong> fish aquaculture. Most <strong>of</strong> Lake Malawi cichlids are small and<br />

<strong>the</strong>refore can easily be dried in <strong>the</strong> sun for upcountry markets.<br />

Under <strong>the</strong> circumstances <strong>of</strong> hunger and poverty, fish conservation is both exhilarating and controversial.<br />

Exhilarating because those fishers bear <strong>the</strong> collective wisdom, wit and will to control <strong>the</strong>ir resource <strong>the</strong>y depend on<br />

for survival. Controversial because <strong>the</strong> need to survive drives <strong>the</strong>m to fish to <strong>the</strong> last fish! Thus what is happening<br />

today in Lake Nyasa has great consequences for tomorrow.<br />

Threats to Lake Nyasa fish biodiversity<br />

Habitat variability within <strong>the</strong> <strong>lake</strong> must have played an important role in sustaining <strong>the</strong> diversity <strong>of</strong> fish and<br />

<strong>the</strong>refore, preserving <strong>the</strong> fish biodiversity <strong>of</strong> Lake Nyasa is not possible without habitat protection <strong>of</strong> those areas <strong>of</strong><br />

<strong>the</strong> <strong>lake</strong> where most species depends on. The most important and also most delicate habitats are <strong>the</strong> littoral zones <strong>of</strong><br />

<strong>the</strong> rocky habitats, <strong>the</strong> shallow water zones associated with river mouths – swamps, submerged macrophyte beds,<br />

lagoons are important for spawning and nursery grounds <strong>of</strong> many fish species.<br />

The main threat to <strong>the</strong> existence <strong>of</strong> high diversity <strong>of</strong> life in Lake Nyasa comes from human activities on <strong>the</strong> adjacent<br />

land. The root causes <strong>of</strong> <strong>the</strong> <strong>lake</strong>’s environmental damage that can result in biodiversity loss are <strong>of</strong> two categories:<br />

1. Land based causes/sources and activities affecting <strong>the</strong> quality and uses <strong>of</strong> <strong>the</strong> <strong>lake</strong> (poverty, poorly<br />

managed social and economic development programs and unsustainable consumption patterns).<br />

2. Of <strong>the</strong> land based activities I consider <strong>the</strong> effect <strong>of</strong> fishing, both direct and indirect to be <strong>of</strong> highest priority<br />

comparable to that <strong>of</strong> <strong>the</strong> most serious land-based threats.<br />

ENVIRONMENTAL<br />

DEGRADATION<br />

LONG-TERM EFFECTS<br />

Loss <strong>of</strong>:<br />

Biodiversity<br />

Habitat<br />

Ecological<br />

Functioning<br />

Agricultural Land<br />

Fishing Potential<br />

Tourism Potential<br />

Opportunity:<br />

REDUCED<br />

CAPACITY<br />

FACILITATE DIVERSIFICATION:<br />

e.g.: TOURISM<br />

Poverty / Degradation Feedback Cycle<br />

INCREASED<br />

POVERTY<br />

SHORT-TERM EFFECTS<br />

Deforestation<br />

Overgrazing<br />

Overhunting<br />

Overfishing<br />

Pollution<br />

Erosion<br />

River Siltation<br />

Increased Flooding<br />

FEEDBACK<br />

ROOT CAUSES<br />

Alternative Cycle<br />

REDUCE<br />

INCREASE DIVERSIFICATION<br />

& RESOURCE RETURNS<br />

Poverty<br />

&<br />

hardship<br />

POVERTY<br />

BEGIN<br />

HERE<br />

Not enough<br />

Capacity<br />

Reduced<br />

sustainability<br />

Increased impacts on<br />

environment<br />

Opportunity:<br />

DEVELOP CAPACITY<br />

IMPROVED RESOURCE<br />

MANAGEMENT<br />

Strategy<br />

Indeed <strong>the</strong> need to maintain maximum biodiversity is surely greatest as <strong>the</strong> rates <strong>of</strong> environmental change increases.<br />

The strategy to maintain maximum biodiversity <strong>of</strong> this fish resource that <strong>the</strong> local population mainly depends on


30<br />

Lake Malawi Fisheries Management Symposium - Proceedings<br />

should be advocated toge<strong>the</strong>r with <strong>the</strong> strategy to alleviate poverty and hunger. An example in this case is <strong>the</strong><br />

provision <strong>of</strong> an alternative source <strong>of</strong> cheap protein.<br />

References<br />

FAO, 1994. Biodiversity. News letter, East African Biodiversity Project: UNO/RAF/006/GEF.<br />

Stiassny, M.L.J., 1993. What is a Cichlid? Tropical Fish Hobbyist (TFH, November, 1993), 141-146.<br />

Ghilarov, A. 1996. What does ‘biodiversity’ mean – Scientific problem or convenient myth? Trends in Ecology and Evolution<br />

Vol. II, 304-306.<br />

Harper, J.L & Hawsworth, D.L. 1994. Biodiversity: measurement and estimation. Philos. Trans. R. Soc. London. Ser. B 345, 5-<br />

12.<br />

Marcel, A., Brechignac, F. & Thibault, P. 1994. Biodiversity in model ecosystems. Nature 371, 565.<br />

Ngatunga, B.P. 2000. A taxonomic revision <strong>of</strong> <strong>the</strong> shallow-water species <strong>of</strong> <strong>the</strong> genera Lethrinops, Tramitichromis and<br />

Taeniolethrinops (Teleostei, Cichlidae) from Lake Malawi/Nyasa/Niassa (East Africa). PhD <strong>the</strong>sis, University <strong>of</strong><br />

Rhodes, South Africa, 293pg.<br />

Stiassny, M.L.J. 1993. What is a Cichlid? Tropical Fish Hobbyist (TFH, November, 1993), 141-146.<br />

Whittaker, R.H. 1972. Evolution and measurement <strong>of</strong> species diversity. Taxon 21, 213-251.


31<br />

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Fisheries Management, Biodiversity Conservation and Genetic Stock Structure<br />

George F. Turner<br />

Department <strong>of</strong> Biological Sciences, University <strong>of</strong> Hull, HU6 7RX, United Kingdom, E-mail: g.f.turner@biosci.hull.ac.uk<br />

Abstract<br />

Given <strong>the</strong> immense difficulties <strong>of</strong> assessing and managing <strong>fisheries</strong> on Lake Malawi/ Nyasa, it seems likely that <strong>the</strong> present<br />

approach <strong>of</strong> using intuition and rules <strong>of</strong> thumb to derive <strong>management</strong> approaches is likely to continue. It is important that <strong>the</strong> rules <strong>of</strong><br />

thumb employed are as accurate as possible. At present, almost nothing is known <strong>of</strong> <strong>the</strong> migration patterns and movements <strong>of</strong> <strong>the</strong><br />

major fish stocks in <strong>the</strong> <strong>lake</strong>. Both <strong>the</strong> collection <strong>of</strong> data and <strong>the</strong> setting <strong>of</strong> effort limits are presently based on ra<strong>the</strong>r arbitrary fishing<br />

areas. Local <strong>fisheries</strong> <strong>management</strong> will be largely irrelevant if carried out on wide-ranging stocks that are exploited elsewhere.<br />

Analysis <strong>of</strong> population structure provides an effective tool for <strong>the</strong> assessment <strong>of</strong> fish movement patterns. Tagging is likely to be<br />

impractical for most <strong>lake</strong> fish stocks. Species identification is important, but on its own, provides limited geographical resolution <strong>of</strong><br />

stock structure. Molecular approaches using microsatellite DNA are powerful, but are critically dependent on accurate species<br />

identification. Examples are given <strong>of</strong> studies implemented on Lake Malawi. A critical advantage <strong>of</strong> this kind <strong>of</strong> study is that <strong>the</strong><br />

information it provides need not be updated by regular monitoring, but can be used to inform <strong>management</strong> decisions indefinitely.<br />

Introduction<br />

Assessment and <strong>management</strong> <strong>of</strong> fishery resources on Lake Malawi/Nyasa is not easy, and <strong>the</strong>re have been few<br />

success stories to date. Difficulties arise from (among o<strong>the</strong>r things) <strong>the</strong> sheer size <strong>of</strong> <strong>the</strong> <strong>lake</strong>, <strong>the</strong> huge number <strong>of</strong><br />

species exploited, <strong>the</strong> lack <strong>of</strong> knowledge <strong>of</strong> fish biology and identification, <strong>the</strong> diversity and decentralisation <strong>of</strong><br />

fishing activities, <strong>the</strong> lack <strong>of</strong> knowledge about <strong>the</strong> factors influencing fisher behaviour and lack <strong>of</strong> funding. Little is<br />

presently known about <strong>the</strong> movements <strong>of</strong> fish within <strong>the</strong> <strong>lake</strong>, which makes it difficult to define <strong>the</strong> geographical<br />

extent <strong>of</strong> stocks for <strong>the</strong> purposes <strong>of</strong> assessment and <strong>management</strong>. This raises major practical problems in <strong>the</strong> light <strong>of</strong><br />

decentralisation <strong>of</strong> responsibility for <strong>management</strong> <strong>of</strong> fish stocks, with political authority devolving to district levels<br />

and with increasing emphasis on local co-<strong>management</strong> through beach village committees. A fur<strong>the</strong>r problem lies in<br />

<strong>the</strong> assessment <strong>of</strong> gear and fleet interactions. This is likely to become a more pressing problem, as <strong>the</strong>re are pressure<br />

to grant more trawl licenses at <strong>the</strong> same time as artisanal fishers are increasing <strong>the</strong> use <strong>of</strong> chilimira nets to target<br />

<strong>of</strong>fshore benthic species such as chambo (‘kauni’ fishery).<br />

A ‘stock’ is what <strong>fisheries</strong> managers try to manage. A group <strong>of</strong> organisms can be treated as a stock if possible<br />

differences within <strong>the</strong> group and interchanges with o<strong>the</strong>r groups can ignored without making <strong>the</strong> conclusions<br />

reached invalid (Sparre et al. 1989). Why should fishery managers care about stock definition? If a stock is<br />

overexploited, managers will wish to decrease fishing effort on that stock. This would be <strong>of</strong> limited use if ano<strong>the</strong>r<br />

fishing fleet continues to increase its rate <strong>of</strong> exploitation <strong>of</strong> <strong>the</strong> same stock. Is <strong>the</strong>re any point in <strong>the</strong> allocation <strong>of</strong><br />

property rights to a local community to enable participatory <strong>management</strong> <strong>of</strong> a stock in one area, if rampant<br />

overexploitation <strong>of</strong> <strong>the</strong> same stock is going on somewhere else, or going on in <strong>the</strong> same area using a different<br />

method? Equally, if a stock is underexploited, this may be because it is difficult to exploit economically in part <strong>of</strong> its<br />

range. If such a stock shows a high degree <strong>of</strong> migration over its whole range, it might be worth permitting extremely<br />

heavy exploitation in <strong>the</strong> areas where it can be economically exploited, in <strong>the</strong> knowledge that local depletion <strong>of</strong> <strong>the</strong><br />

population can be compensated by immigration from <strong>the</strong> rest <strong>of</strong> <strong>the</strong> range. Knowledge <strong>of</strong> stock limits and gear<br />

interactions is also critical in stock assessment, particular using catch and effort data. For example, <strong>the</strong>re is no point<br />

in carrying out separate assessments for Salima and Nkhotakota districts if all <strong>the</strong> main fish species move freely<br />

between <strong>the</strong> two areas. If this were <strong>the</strong> case, <strong>the</strong> catch and effort data could be pooled and this might not only allow<br />

more accurate assessment, but might even allow for a reduction in data ga<strong>the</strong>ring effort, allowing valuable resources<br />

to be reallocated elsewhere. Thus, definition <strong>of</strong> <strong>the</strong> major fish stocks in Lake Malawi is an essential stage in <strong>the</strong><br />

development <strong>of</strong> a rationally-based sustainable <strong>fisheries</strong> <strong>management</strong> programme.<br />

Studies <strong>of</strong> population structure can also provide critical information for conservation biologists. If a local population<br />

in a reserve area exchanges few migrants with neighbouring populations, its protection is more important for two<br />

reasons. Firstly, it is likely that if <strong>the</strong> local population is reduced or goes extinct, immigration from elsewhere will<br />

do little to help <strong>the</strong> population recover. Fur<strong>the</strong>r, it is likely that if migration rates are extremely low, <strong>the</strong> local<br />

population may contain unique genetic variants that will not exist in o<strong>the</strong>r populations. These variants may include<br />

genotypes specifically adapted to <strong>the</strong> local habitat, and if so, immigrants from elsewhere may never become as<br />

successfully established as <strong>the</strong> former residents. This can also be critical if restocking is attempted using source<br />

populations from o<strong>the</strong>r localities.


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The present paper is aimed at summarising <strong>the</strong> uses <strong>of</strong> molecular methods in defining exploited stocks for <strong>fisheries</strong><br />

<strong>management</strong>. I will also briefly discuss <strong>the</strong> uses <strong>of</strong> molecular methods in conservation biology, and discuss o<strong>the</strong>r<br />

methods which might be used to study population structure.<br />

The basics <strong>of</strong> molecular ecology<br />

DNA<br />

Living organisms are constructed from recipes coded in <strong>the</strong>ir genes, made from DNA molecules, passed on from<br />

<strong>the</strong>ir parents. DNA is made up <strong>of</strong> various subsidiary molecules linked toge<strong>the</strong>r, but <strong>the</strong> ‘message’ is spelled out in<br />

<strong>the</strong> sequence <strong>of</strong> 4 different kinds <strong>of</strong> molecules called ‘bases’, labelled A,C,T and G. An important feature <strong>of</strong> DNA is<br />

that it can make copies <strong>of</strong> itself, with <strong>the</strong> help <strong>of</strong> <strong>the</strong> enzyme DNA polymerase, which is itself made from <strong>the</strong> DNA.<br />

The messages in DNA are translated into RNA, which is in turn translated into proteins, which build bodies and<br />

transmit information around <strong>the</strong> body. In <strong>the</strong> course <strong>of</strong> sequencing <strong>the</strong> human genome (<strong>the</strong> genome is <strong>the</strong> total<br />

complement <strong>of</strong> DNA in an organism), it has been discovered that more than 95% <strong>of</strong> our DNA is not in fact used to<br />

make proteins, and indeed is not used for anything at all (International Human Genome Sequencing Consortium<br />

2001). Much <strong>of</strong> this ‘junk’ DNA is mainly made up <strong>of</strong> bits that are good at making copies <strong>of</strong> <strong>the</strong>mselves and getting<br />

<strong>the</strong>m stuck into o<strong>the</strong>r parts <strong>of</strong> <strong>the</strong> genome. As long as <strong>the</strong>y do not interfere with <strong>the</strong> workings <strong>of</strong> <strong>the</strong> useful bits <strong>of</strong><br />

DNA, <strong>the</strong>y tend to hang around as a sort <strong>of</strong> harmless parasite. This is not really as surprising at it sounds, because<br />

organisms are not ‘designed’ to be efficient, <strong>the</strong>y have merely proved better than <strong>the</strong>ir rivals at surviving and<br />

reproducing over billions <strong>of</strong> years <strong>of</strong> evolution by natural selection.<br />

The discipline <strong>of</strong> Molecular Ecology, <strong>of</strong> which Molecular Fish Stock Discrimination is a subdiscipline, is largely<br />

based on <strong>the</strong> analysis <strong>of</strong> this ‘junk’ DNA. Most commonly, molecular ecologists try to look at <strong>the</strong> same bit <strong>of</strong> DNA<br />

(a ‘locus’, plural ‘loci’, meaning ‘place’) in a number <strong>of</strong> different individuals. There will <strong>of</strong>ten be slight differences<br />

between individuals in <strong>the</strong> sequences <strong>of</strong> <strong>the</strong> DNA at <strong>the</strong> same locus- <strong>the</strong>se different forms are called ‘alleles’. And<br />

because each individual has two equivalent chromosomes each containing <strong>the</strong> same set <strong>of</strong> loci (ignoring exceptions<br />

like <strong>the</strong> sex chromosomes and mitochondrial DNA), <strong>the</strong>n each individual can have two different alleles (in which<br />

case it is said to be ‘heterozygous’) or two copies <strong>of</strong> <strong>the</strong> same allele (‘homozygous’). The trick is to find <strong>the</strong> same<br />

locus in each individual in <strong>the</strong> study. To do this, special ‘primers’ are used to latch on to unique sequences <strong>of</strong> DNA<br />

on ei<strong>the</strong>r side <strong>of</strong> <strong>the</strong> region <strong>of</strong> interest. From <strong>the</strong>se, chemical reactions (PCR or polymerase chain reactions) are<br />

carried out to make lots <strong>of</strong> copies <strong>of</strong> <strong>the</strong> bit <strong>of</strong> DNA that lies in between <strong>the</strong>se primers, until <strong>the</strong>re is enough material<br />

to analyse. The next step is <strong>of</strong>ten to work out <strong>the</strong> sequence <strong>of</strong> letters in <strong>the</strong> target locus, by smashing up <strong>the</strong> molecule<br />

into lots <strong>of</strong> little bits and <strong>the</strong>n adding a different fluorescent marker onto <strong>the</strong> end according to which ‘letter’ is <strong>the</strong><br />

last one. By working out <strong>the</strong> size <strong>of</strong> all <strong>the</strong> bits you can work out <strong>the</strong> whole DNA sequence. Alternatively, <strong>the</strong> target<br />

locus might consist <strong>of</strong> a very repetitive message (such as GTGTGTGTGTGT… and so on), in which case it is better<br />

just to see how long <strong>the</strong> message is. These procedures are increasingly carried out using automated DNA<br />

sequencers.<br />

Genetic divergence <strong>of</strong> populations<br />

If any groups <strong>of</strong> sexually reproducing organisms stop interbreeding with each o<strong>the</strong>r, <strong>the</strong>y will begin to diverge<br />

genetically. There are three possible causes for this: selection, mutation and genetic drift (Avise 1994). In recently<br />

separated populations, drift is likely to be <strong>the</strong> major force, particularly when populations are small. Genetic drift<br />

results from <strong>the</strong> random process <strong>of</strong> chance differences in survival and reproductive success <strong>of</strong> individuals with<br />

different genotypes. This can happen even if <strong>the</strong>se genotypes are equally good at surviving and breeding. Molecular<br />

estimates <strong>of</strong> migration rate assume that differences between populations are not due to natural selection. This seems<br />

a robust assumption for most populations which have become separated fairly recently (hundreds or thousands <strong>of</strong><br />

years), but to be more sure <strong>of</strong> this, it is best to examine several different molecular markers which are selectively<br />

neutral and unlinked. By selectively neutral, it is meant that <strong>the</strong> locus is not involved in making anything useful, like<br />

a protein molecule. But, <strong>the</strong>re is always <strong>the</strong> risk that <strong>the</strong> locus is next door (‘linked’) to something that is useful and<br />

has recently been subjected to strong natural selection. The risk <strong>of</strong> this can be minimised by looking at several<br />

different loci for each individual, which carries <strong>the</strong> extra advantage <strong>of</strong> allowing you to get statistically independent<br />

estimates <strong>of</strong> migration that can be averaged over to make <strong>the</strong> results more accurate. Thus, estimates <strong>of</strong> migration and<br />

population structure are based on statistical estimates <strong>of</strong> allele frequencies in different loci in many individuals from<br />

different populations.


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

Microsatellites<br />

Many different molecular marker types exist, such as allozymes, mitochondrial DNA, RAPDs, AFLPs,<br />

minisatellites etc. Most have been used in studies <strong>of</strong> population structure. The advantages and disadvantages <strong>of</strong><br />

different kinds <strong>of</strong> molecular markers are discussed in many excellent review articles and books (e.g. Avise 1994;<br />

Jarne & Lagoda 1996; Carvalho & Hauser 1998; Mueller & Wolfenbarger 1999; Sunnucks 2000). For studies <strong>of</strong><br />

population structure <strong>the</strong> general consensus is that <strong>the</strong> method <strong>of</strong> choice is analysis <strong>of</strong> microsatellite DNA.<br />

Microsatellites are also sometimes called SSRs or Simple Sequence Repeats (e.g. Markert et al 1999; 2001) or,<br />

along with o<strong>the</strong>r larger repeats such as ‘minisatellites’ <strong>the</strong>y are classed as VNTRs or Variable Number Tandem<br />

Repeats (Majerus et al. 1996). Microsatellites include <strong>the</strong> monotonous 2-letter repeats already mentioned (GTGTGT<br />

etc), although sometimes a motif can be as long as 6 letters (ACTGATACTGAT etc), and o<strong>the</strong>rs can be a bit more<br />

complex with interruptions <strong>of</strong> <strong>the</strong> repeat by non-repetitive sequences (ATATATCGATATATAT etc). It seems that<br />

<strong>the</strong> short repeat motifs are difficult to copy accurately, and extra repeats are frequently inserted. Thus,<br />

microsatellites tend to evolve rapidly (and generally grow in length). This rapid mutation rate, coupled with <strong>the</strong>ir<br />

selective neutrality means that microsatellites tend to be incredibly variable and thus can provide good material for<br />

statistical comparisons between populations.<br />

Statistical assessment <strong>of</strong> population structure<br />

Most estimates <strong>of</strong> population structure employ variants <strong>of</strong> <strong>the</strong> F-statistics first developed in <strong>the</strong> 1950s (Wright 1951,<br />

see, for example Avise, 1994, for an explanation). For population structure, <strong>the</strong> key measure is FST, which is <strong>the</strong><br />

variance in allele frequencies among populations, standardised as a proportion <strong>of</strong> <strong>the</strong> maximum possible for <strong>the</strong><br />

given range <strong>of</strong> allele frequencies. Basically, it is a measure <strong>of</strong> <strong>the</strong> differences between populations in comparison to<br />

<strong>the</strong> overall amount <strong>of</strong> differences between individuals, including <strong>the</strong> differences between individuals within <strong>the</strong><br />

same population. FST can range from 0 to 1. A high FST indicates a high degree <strong>of</strong> genetic differentiation between<br />

populations, and thus a low level <strong>of</strong> migration. Taking several assumptions into account, it is possible to estimate <strong>the</strong><br />

number <strong>of</strong> successfully breeding migrants moving between populations per generation (Nm). This figure can also be<br />

estimated from <strong>the</strong> number <strong>of</strong> unique alleles in each population, adjusted for sample size (<strong>the</strong> ‘Private Alleles<br />

Method’: Slatkin 1985). Ra<strong>the</strong>r surprisingly at first sight, <strong>the</strong>se methods give an estimate <strong>of</strong> <strong>the</strong> number <strong>of</strong> individual<br />

migrants, not <strong>the</strong> proportion migrating. There are a number <strong>of</strong> s<strong>of</strong>tware packages to calculate FST, Nm and o<strong>the</strong>r<br />

parameters from raw data on microsatellite allele frequencies: most are readily available over <strong>the</strong> internet. A good<br />

starting point is <strong>the</strong> molecular ecology web site at <strong>the</strong> University <strong>of</strong> Hull.<br />

http://www.hull.ac.uk/molecol/nonmol.htm#s<strong>of</strong>tware<br />

Molecular stock structure analysis and species identification<br />

Genetic analysis <strong>of</strong> stock structure is incredibly sensitive to correct species identification. This is rarely mentioned in<br />

<strong>the</strong> literature on <strong>the</strong> subject, but <strong>the</strong>n in most <strong>of</strong> <strong>the</strong> world apart from Lake Malawi and Lake Victoria, it is quite easy<br />

to identify species <strong>of</strong> fish, so <strong>the</strong> question rarely arises. Confusion <strong>of</strong> closely-related species is just as dangerous as<br />

confusion <strong>of</strong> distantly-related ones. No studies <strong>of</strong> population structure using molecular methods are <strong>of</strong> any value if<br />

<strong>the</strong>re is a risk that species might have been confused. The most likely result is that different proportions <strong>of</strong> different<br />

species will have been collected in different populations. The consequence <strong>of</strong> this would be to inflate <strong>the</strong> estimates<br />

<strong>of</strong> genetic differentiation between populations, and to give <strong>the</strong> impression that migrations levels were lower than<br />

<strong>the</strong>y actually are. Recent studies have indicated that Lake Malawi cichlid fish cannot be told to <strong>the</strong> level <strong>of</strong> species<br />

on <strong>the</strong> basis <strong>of</strong> unique genetic markers (Parker & Kornfield 1997; Turner et al. 2000). So, <strong>the</strong>re is no point in hoping<br />

that genetic studies in <strong>the</strong> laboratory can sort out mistaken species identification during sample collection. Properly<br />

labelled voucher specimens are thus a vital for any molecular ecology study where <strong>the</strong>re might be <strong>the</strong> slightest doubt<br />

over species identification.<br />

Protocols for sample collection for microsatellite studies<br />

Table 1 gives a suggested protocol for sample collection for microsatellite studies <strong>of</strong> Lake Malawi fishes. It is<br />

assumed that <strong>the</strong>re may be some uncertainty over species identification. In practice, it would be advisable to consult<br />

with leading experts in species identification prior to undertaking <strong>the</strong> study. This might be helpful in deciding<br />

whe<strong>the</strong>r to focus <strong>the</strong> collection <strong>of</strong> ripe males, or whe<strong>the</strong>r any stage <strong>of</strong> fish would do.<br />

Making labels<br />

A major cause <strong>of</strong> problems can lie in labelling <strong>of</strong> whole fish specimens. Probably <strong>the</strong> best method is make labels<br />

from Dymo tape (www.dymo.com). From <strong>the</strong> manufacturers, a basic manual dymo printer costs $6.80 with spare<br />

12-foot long tapes costing $6.29 for 3. A single tape is enough to label dozens or even hundreds <strong>of</strong> individual fish.<br />

Dymo tapes and printers are sometimes available in Malawi. The more sophisticated electronic dymo printers are


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

inferior for this purpose, as <strong>the</strong> labels are not so strong. A greatly inferior substitute is to use relatively rigid card,<br />

such as sold for file card boxes, and write labels using alcohol-resistant ink, such as is used in <strong>the</strong> Rotring<br />

Rapidograph ink drawing pen, http://www.rotring.de/www.rotring.com/index.html. The next problem is to<br />

attach <strong>the</strong> label to <strong>the</strong> specimen. The best method is to use a purpose-made fish-tagging gun loaded with T-bar tags.<br />

Information on fish tagging materials can be found at http://www.hafro.is/catag/. The best known supplier is<br />

Floytag, at http://www.halcyon.com/floytag/. The labels can be individually numbered or coded, but this is a lot<br />

more expensive, and it is probably better to make Dymo labels. Fish tagging guns will have a sharp hollow spike,<br />

designed to be pushed though fish muscle. To attach a Dymo label to a tag, <strong>the</strong> spike is simply pushed through <strong>the</strong><br />

label before being pushed through <strong>the</strong> fish. A click on <strong>the</strong> trigger, and a strong plastic tag is inserted through <strong>the</strong><br />

fish, held in place by <strong>the</strong> T-bar, which springs open on <strong>the</strong> underside. Tags are probably best inserted through <strong>the</strong><br />

caudal peduncle above <strong>the</strong> lateral line (in case counts <strong>of</strong> lateral line scales are a useful taxonomic feature). In smaller<br />

fish, tags might have to be inserted through <strong>the</strong> main body <strong>of</strong> <strong>the</strong> fish above <strong>the</strong> lateral lines, to avoid breaking <strong>the</strong><br />

caudal peduncle. If a tagging gun is not available, string or fine mon<strong>of</strong>ilament twine may be used to tie labels firmly<br />

round <strong>the</strong> caudal peduncle, or it can be threaded through <strong>the</strong> operculum and out <strong>the</strong> mouth with both ends tied<br />

toge<strong>the</strong>r. Nei<strong>the</strong>r solution is ideal, as string tends to break and mon<strong>of</strong>ilament knots <strong>of</strong>ten come undone. Ei<strong>the</strong>r can<br />

get caught among <strong>the</strong> fins and opercula <strong>of</strong> o<strong>the</strong>r fish. This can cause string to break, or <strong>the</strong> label to get sheared <strong>of</strong>f,<br />

as fish are put in and out <strong>of</strong> <strong>the</strong> storage barrel. If <strong>the</strong> label has to tied on, it is wise to insert a duplicate label into <strong>the</strong><br />

fish’s mouth and perhaps even ano<strong>the</strong>r under one <strong>of</strong> <strong>the</strong> opercula. The alternative to trying to attach labels is to place<br />

each fish into a separate plastic bag or jar, which also contains a label. Use <strong>of</strong> jars is usually impractical in <strong>the</strong> field.<br />

If plastic bags are used <strong>the</strong>y should be well filled with preservative, for o<strong>the</strong>rwise <strong>the</strong> fish may not get enough<br />

contact with <strong>the</strong> formalin for proper preservation.<br />

Table 1. Suggested protocol for sample collection for microsatellite DNA.<br />

Step Procedure Notes<br />

1. Select populations for study. The sample area at each site<br />

should be as small as<br />

possible, given <strong>the</strong> need to<br />

collect sufficient samples<br />

2. Aim to collect a minimum <strong>of</strong> 50 live or recently killed individuals from<br />

each site.<br />

3. Cut <strong>of</strong>f a piece <strong>of</strong> a fin and wash <strong>of</strong>f any excess scales and blood (which<br />

might be from different fish). Place in a vial <strong>of</strong> 90-100% ethanol. Wash<br />

scissors before taking next sample.<br />

4. Label <strong>the</strong> vial, using alcohol-resistant ink. Best <strong>of</strong> all, as well as labelling<br />

<strong>the</strong> vial, put <strong>the</strong>m into vial boxes where <strong>the</strong> rows and column are<br />

already labelled on <strong>the</strong> box.<br />

5. Take a colour photograph <strong>of</strong> each specimen. Before taking <strong>the</strong> picture,<br />

write <strong>the</strong> vial label in large bold characters on a piece <strong>of</strong> paper and<br />

place this next to <strong>the</strong> fish, so that it appears in <strong>the</strong> photograph.<br />

6. Label <strong>the</strong> fish specimen using <strong>the</strong> same label code as for <strong>the</strong> vial and<br />

photo and place in 10% formalin.<br />

7. Send duplicate copies <strong>of</strong> all <strong>of</strong> <strong>the</strong> photographs to one or more leading<br />

experts in identification <strong>of</strong> <strong>the</strong> fish species concerned, explaining <strong>the</strong><br />

purpose for which <strong>the</strong> specimens are required.<br />

8. If required, send whole fish specimens to <strong>the</strong> identification expert, or<br />

wait until (s)he has <strong>the</strong> opportunity to visit your lab to examine <strong>the</strong><br />

material.<br />

9. Remove from <strong>the</strong> analysis any sample for which <strong>the</strong>re is <strong>the</strong> slightest<br />

doubt over <strong>the</strong> species identification.<br />

100 is better. If samples from<br />

most sites are over 50, <strong>the</strong><br />

occasional population sample<br />

<strong>of</strong> 30-40 could be OK.<br />

If <strong>the</strong> whole specimen is to be<br />

preserved, it is best to remove<br />

<strong>the</strong> right pectoral fin, allowing<br />

taxonomic measurements to<br />

be taken from <strong>the</strong> left side.<br />

NB if you rely solely on row<br />

and column designations on<br />

<strong>the</strong> box, and don’t label <strong>the</strong><br />

vials, it is a major disaster if<br />

you drop <strong>the</strong> box while <strong>the</strong> lid<br />

is open!<br />

A coarse black marker pen is<br />

ideal for labelling, and stiff<br />

card, as used for file card<br />

boxes.<br />

Various methods are<br />

discussed below.<br />

It would be useful to include<br />

information on <strong>the</strong> collecting<br />

locality for each photograph<br />

when seeking advice.


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

Preserving Fish<br />

A frequent problem with collections <strong>of</strong> fish specimens made for ID purposes is that <strong>the</strong>y are <strong>of</strong>ten bent and twisted,<br />

and thus very difficult to identify. The main cause <strong>of</strong> this is packing fish in tightly while <strong>the</strong>y are still s<strong>of</strong>t and fresh.<br />

It is always best if <strong>the</strong> fish are placed into a barrel with enough room for <strong>the</strong>m to float freely in <strong>the</strong> liquid. Ideally,<br />

<strong>the</strong> fish’s fins should be open, ra<strong>the</strong>r than closed tight against <strong>the</strong> body. The best way to do this, after killing fish<br />

with an anaes<strong>the</strong>tic overdose, is to place <strong>the</strong>m on a sheet <strong>of</strong> expanded polystyrene (balsa wood would also do, or a<br />

metal tray filled with about 1cm <strong>of</strong> candle wax), open out <strong>the</strong> fins, and pin <strong>the</strong>m in place. Strong formalin is <strong>the</strong>n<br />

drizzled from a syringe over <strong>the</strong> fin bases to fix <strong>the</strong>m in place. Fish are best left like this for 10-15 minutes before<br />

placing <strong>the</strong>m in <strong>the</strong> formalin bucket. If <strong>the</strong> fish have asphyxiated (<strong>of</strong>ten <strong>the</strong> case on deck <strong>of</strong> a trawler), <strong>the</strong> mouth<br />

may be fully extended. This also makes identification difficult. When pinning <strong>the</strong> fins, it is best to also pin back <strong>the</strong><br />

mouth so that it is only slightly open. It is difficult to inspect <strong>the</strong> teeth, which can be an important character, if <strong>the</strong><br />

mouth is fully closed. With fish brought up quickly from deep water, it is useful to puncture <strong>the</strong> stomach and<br />

swimbladder and squeeze out excess air, to try to combat <strong>the</strong> bloating <strong>of</strong> <strong>the</strong> fish resulting from swimbladder<br />

expansion. A final problem is with decomposition. Large fish should have formalin injected into <strong>the</strong> gut cavity,<br />

using a large syringe. The quantity should not be so much that <strong>the</strong> fish becomes bloated, a normal-looking shape is<br />

<strong>the</strong> aim. Very big chambo or ncheni can also benefit from a few injections into <strong>the</strong> dorsal musculature, carefully<br />

inserting <strong>the</strong> needle under a scale, because if you drive it right through <strong>the</strong> scale, it will come <strong>of</strong>f as you remove <strong>the</strong><br />

needle. It is worth remembering that formalin is diluted by fish as well as by water. The aim is get a 10% formalin<br />

solution in contact with <strong>the</strong> fish tissues. If <strong>the</strong>re is more fish than water, <strong>the</strong>n concentration <strong>of</strong> a 10% solution will<br />

soon be less than 5%, and fish will start to rot. Ano<strong>the</strong>r problem with overpacking <strong>of</strong> fish is that parts <strong>of</strong> <strong>the</strong> bodies<br />

can end up sticking out <strong>of</strong> <strong>the</strong> liquid. These can quickly rot. Containers <strong>of</strong> preserved fish should be inspected<br />

regularly to maintain levels <strong>of</strong> liquid, which can drop through evaporation or spillage. Formalin is poisonous, and it<br />

is extremely unpleasant to inhale <strong>the</strong> fumes. Before any detailed examination <strong>of</strong> <strong>the</strong> specimens is carried out, <strong>the</strong><br />

formalin should be washed out under a running tap (left outdoors for a couple <strong>of</strong> days) and <strong>the</strong>n <strong>the</strong> specimens<br />

should be kept in 70% alcohol. But it is worth waiting until you have checked <strong>the</strong> quality <strong>of</strong> your photographs before<br />

you do this (see below).<br />

Photographing fish specimens<br />

I have <strong>of</strong>ten been surprised at <strong>the</strong> poor quality <strong>of</strong> photographs <strong>of</strong> fish I have been asked to identify. A common<br />

problem is that <strong>the</strong> fish is photographed from an oblique angle, usually because it is high up on a table at <strong>the</strong> time.<br />

There is no substitute for getting <strong>the</strong> specimen onto <strong>the</strong> floor! If <strong>the</strong> fish is very big, I <strong>of</strong>ten stand on top <strong>of</strong> a stool to<br />

get a good aerial view from far enough away. In Africa, <strong>the</strong> bright light <strong>of</strong>ten casts dramatic black shadows over <strong>the</strong><br />

fish. I prefer to photograph fish in <strong>the</strong> shade where possible. There is usually enough light that a flash is not needed.<br />

In <strong>the</strong> open, I usually manoeuvre my own body to cast a full shadow over <strong>the</strong> fish. An umbrella might come in<br />

handy for big specimens. Inevitably, <strong>the</strong>re is a risk that photographs will not come out or be over- or under-exposed.<br />

A digital camera allows you to view your photos immediately and see if <strong>the</strong>y are <strong>of</strong> acceptable standard. Generally,<br />

<strong>the</strong>y do not store many images, so it is useful to take backup disks, if it is not feasible to download <strong>the</strong>m directly into<br />

a computer. If a digital camera is not available, a fallback position in <strong>the</strong> event <strong>of</strong> your photos being useless, is to<br />

photograph <strong>the</strong> preserved fish. Some element <strong>of</strong> <strong>the</strong> live colour is usually still visible if <strong>the</strong> fish has been kept in<br />

formalin, in <strong>the</strong> dark. However, alcohol rapidly bleaches specimens, especially if <strong>the</strong>y are kept in sunlight. So, it is<br />

advisable to keep specimens in formalin until <strong>the</strong> quality <strong>of</strong> photographs has been determined. Live colours <strong>of</strong>ten<br />

fade quickly after death, so it is <strong>of</strong>ten useful to take a quick snap <strong>of</strong> <strong>the</strong> live fish first, and ano<strong>the</strong>r picture once <strong>the</strong><br />

fins have been pinned out in order to get a better impression <strong>of</strong> <strong>the</strong> shape and finnage.<br />

Case studies <strong>of</strong> stock structure analysis in Lake Malawi<br />

A potential problem with microsatellites is that new primers usually have to be developed for each species being<br />

studied. This can be a laborious and expensive process. For once, <strong>the</strong> fact that most <strong>of</strong> <strong>the</strong> cichlids are so closely<br />

related proves to be a plus ra<strong>the</strong>r than a minus, since it seems that most primers work across all <strong>the</strong> haplochromines.<br />

About half <strong>of</strong> <strong>the</strong> primers developed for tilapiine cichlids work on mbuna. Fortunately, Pr<strong>of</strong>. Kocher at <strong>the</strong><br />

University <strong>of</strong> New Hampshire, USA, has been engaged from several years in developing hundreds <strong>of</strong> sets <strong>of</strong><br />

microsatellite loci to map <strong>the</strong> genomes <strong>of</strong> Nile Tilapia for aquaculture research (e.g. Lee & Kocher 1996, Kocher et<br />

al. 1998, see also http://tilapia.unh.edu/Default.html) and mbuna for evolution research. Consequently, <strong>the</strong>re is no<br />

shortage <strong>of</strong> microsatellite primers available.


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

Case Study I: Population structure in mbuna<br />

The first study to use microsatellites to investigate <strong>the</strong> population structure <strong>of</strong> Lake Malawi cichlids resulted from a<br />

research project on <strong>the</strong> evolution <strong>of</strong> mbuna, carried out by a consortium <strong>of</strong> researchers in British Universities, in<br />

collaboration with <strong>the</strong> University <strong>of</strong> Malawi. We wanted to test <strong>the</strong> hypo<strong>the</strong>sis, dating back to Fryer (1959), that<br />

<strong>the</strong>re is little migration between populations <strong>of</strong> mbuna separated by deep-water channels or sandy bays. An earlier<br />

study by McKaye et al. (1984) had looked at this question by comparing Pseudotropheus zebra from Nkhata Bay<br />

and Chilumba with Mumbo Islands and Domwe Islands in <strong>the</strong> sou<strong>the</strong>rn part <strong>of</strong> <strong>the</strong> <strong>lake</strong>. Although this study clearly<br />

showed differentiation between <strong>the</strong> nor<strong>the</strong>rn and sou<strong>the</strong>rn populations, it employed allozyme electrophoresis, a<br />

comparatively crude method which we thought unlikely to demonstrate population differentiation at <strong>the</strong> smaller<br />

spatial scales we were concerned with. We used 6 microsatellite loci to compare populations <strong>of</strong> 4 species:<br />

Pseudotropheus zebra, P. callainos, and two undescribed members <strong>of</strong> <strong>the</strong> P. tropheops complex (P. ‘tropheops<br />

olive’ and P. ‘tropheops mauve’). We looked at 4 populations from headlands around Nkhata Bay- each headland<br />

was separated from <strong>the</strong> next one by a sand/mud bay <strong>of</strong> 700-1,400 metres in width. Since female P. zebra are similar<br />

in colour to P. ‘gold zebra’ which is also found at Nkhata Bay, we only sampled males <strong>of</strong> this species, which are<br />

easily identified at this site. Our analysis yielded FST values <strong>of</strong> 0.007-0.016, very small, but statistically significant.<br />

The number <strong>of</strong> migrants between sites was estimated to range from 6-8 individuals per generation (van Oppen et al.<br />

1997). This showed that <strong>the</strong>re is very little movement <strong>of</strong> mbuna across sandy bays- even very small ones.<br />

Subsequent studies from Kocher’s lab (and collaborators) have broadly confirmed <strong>the</strong> pattern from mbuna <strong>of</strong> o<strong>the</strong>r<br />

genera from <strong>the</strong> sou<strong>the</strong>rn part <strong>of</strong> <strong>the</strong> <strong>lake</strong> (Arnegard et al. 1999; Danley et al. 2000; Markert et al. 1999).<br />

Case Study II: Population structure in pelagic cichlids<br />

The ODA/SADC Pelagic Fish Resources Project (Menz 1995) estimated Lake Malawi’s <strong>of</strong>fshore pelagic fish stock<br />

at 168,000 tonnes, <strong>of</strong> which around 88% is comprised <strong>of</strong> cichlids (Menz et al.1995). The maximum sustainable yield<br />

was estimated at around 30,000 tonnes per annum (Thompson 1995). With virtually no fishing presently undertaken<br />

<strong>of</strong>fshore, important tasks remaining were to estimate <strong>the</strong> extent to which pelagic stocks could be exploited in inshore<br />

areas, and to estimate <strong>the</strong> extent to which exploitation in a limited geographical area might run <strong>the</strong> risk <strong>of</strong><br />

exterminating local stocks. We addressed <strong>the</strong>se questions through molecular stock structure analysis, during <strong>the</strong><br />

DFID Ncheni Project (Turner et al. 2000). We used six microsatellite loci to screen 5 populations (479 individuals)<br />

<strong>of</strong> Diplotaxodon limnothrissa, a surface pelagic species also found inhabiting inshore waters, 3 populations (234<br />

individuals) <strong>of</strong> Diplotaxodon macrops, more benthic species found near <strong>the</strong> bottom on deep shelf areas and 3<br />

populations (234 individuals) <strong>of</strong> Diplotaxodon ‘<strong>of</strong>fshore’, a deep-water pelagic species. The status <strong>of</strong> <strong>the</strong> latter 2<br />

forms was <strong>the</strong>n uncertain, since <strong>the</strong>y are very difficult to distinguish in <strong>the</strong> field, and might have proved to be<br />

populations <strong>of</strong> <strong>the</strong> same species. This was later resolved when we discovered that ripe males <strong>of</strong> D. ‘<strong>of</strong>fshore’ had<br />

different breeding colours from D. macrops. We had initially intended to look at population structure in<br />

Rhamphochromis longiceps, but we later decided that our samples (which were not individually labelled) comprised<br />

a mixture <strong>of</strong> R. longiceps and R. ferox. Consequently, we did not analyse <strong>the</strong>se samples.<br />

No evidence <strong>of</strong> linkage disequilibrium was found between any <strong>of</strong> <strong>the</strong> six loci, confirming that <strong>the</strong>y can be<br />

considered as independent genetic markers. Levels <strong>of</strong> genetic variability were remarkably consistent among <strong>the</strong><br />

three. Multilocus estimates <strong>of</strong> genetic differences (FST) indicated that <strong>the</strong>re was no substantial genetic substructuring<br />

within <strong>the</strong> populations <strong>of</strong> any <strong>of</strong> <strong>the</strong> three Diplotaxodon species examined (Table 2).<br />

Table 2. FST (genetic differentiation) values, at 6 microsatellite loci and over all loci combined (P =<br />

probability <strong>of</strong> overall FST not > 0), among samples <strong>of</strong> three Diplotaxodon species.<br />

Locus Pzeb1 Pzeb2 Pzeb3 Pzeb4 Unh130 Unh154 Overall P<br />

Species<br />

D. limnothrissa 0.0007 0.0014 0.0018 0.0012


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

distance’. In o<strong>the</strong>r words, although all <strong>the</strong> populations are probably exchanging lots <strong>of</strong> migrants, genes take a long<br />

time to exchange between populations at <strong>the</strong> far extremes <strong>of</strong> <strong>the</strong> range. These populations are clearly exchanging<br />

hundreds, if not thousands <strong>of</strong> migrants per generation. Samples from Cape Maclear and <strong>of</strong>f <strong>the</strong> Livingstone<br />

mountains were not genetically different, nor were samples from <strong>the</strong> SE Arm and Chilumba. Likewise, for D.<br />

macrops and D. ‘<strong>of</strong>fshore’, all <strong>of</strong> <strong>the</strong> different populations <strong>of</strong> <strong>the</strong> same species were so similar, <strong>the</strong> non-significant<br />

FST indicates that <strong>the</strong>y could be no more genetically differentiated than two samples taken from <strong>the</strong> same place. The<br />

D. macrops populations were from Salima and <strong>the</strong> SE Arm, while <strong>the</strong> D. ‘<strong>of</strong>fshore’ populations were sampled<br />

hundreds <strong>of</strong> kilometres apart, at Karonga and Nkhata Bay. Included in <strong>the</strong>se analyses were comparisons between<br />

inshore and <strong>of</strong>fshore samples from <strong>the</strong> same geographic region: at Chilumba and SE Arm/Cape Maclear for D.<br />

limnothrissa, in <strong>the</strong> SE Arm for D. macrops and <strong>of</strong>f Karonga for D. ‘<strong>of</strong>fshore’. In no case did we find significant<br />

genetic differentiation, showing that samples taken inshore are part <strong>of</strong> <strong>the</strong> same populations as found fur<strong>the</strong>r<br />

<strong>of</strong>fshore in <strong>the</strong> same region. The implications <strong>of</strong> this study for <strong>the</strong> evolution <strong>of</strong> <strong>the</strong>se fishes were presented by Shaw<br />

et al. (2000).<br />

The minimal population structure we found indicates that <strong>the</strong>se three species are not likely to need <strong>management</strong> as<br />

independent stocks in different parts <strong>of</strong> <strong>the</strong> <strong>lake</strong>. Artisanal or bottom trawl catches <strong>of</strong> <strong>the</strong>se species are very likely<br />

exploiting <strong>the</strong> same stocks that are found in <strong>the</strong> <strong>of</strong>fshore pelagic or deep-water zones. Indeed, Malawian, Tanzanian<br />

and Mozambican fishers may be exploiting <strong>the</strong> same stocks. We found clear differentiation between <strong>the</strong> stocks <strong>of</strong> D.<br />

macrops and D. ‘<strong>of</strong>fshore’, which is consistent with our view that <strong>the</strong>y are different species. Diplotaxodon macrops<br />

is caught in reasonable numbers by deep demersal trawls, and before <strong>the</strong>y were realised to be different species, it<br />

had been hoped that exploitation <strong>of</strong> this population might provide a ‘backdoor’ route to exploiting <strong>the</strong> deep-water<br />

pelagic stock <strong>of</strong> D. ‘<strong>of</strong>fshore’. The standing biomass <strong>of</strong> this stock was estimated at around 33,000 tonnes (Menz et<br />

al. 1995). Comprising 19% <strong>of</strong> <strong>the</strong> pelagic biomass, it might be expected to yield around 6,000 tonnes per annum,<br />

and it is scarcely exploited. New ways must be tried to get at this stock.<br />

Case Study III: Are colour forms <strong>of</strong> mbuna really species?<br />

An important application <strong>of</strong> molecular stock structure study lies in <strong>the</strong> definition <strong>of</strong> species- <strong>the</strong> most commonly<br />

used ‘unit <strong>of</strong> conservation’. Population structure analysis need not only be applied to populations from different<br />

locations, but can also be used to test whe<strong>the</strong>r two forms co-occurring at a single locality are interbreeding, and<br />

<strong>the</strong>refore morphs <strong>of</strong> <strong>the</strong> same species, or are not interbreeding and thus are different species. Critically, such studies<br />

need to be carried out on samples taken from exactly <strong>the</strong> same place, o<strong>the</strong>rwise <strong>the</strong>re can be confusion <strong>of</strong> <strong>the</strong> effects<br />

<strong>of</strong> restricted migration.<br />

The haplochromine cichlids <strong>of</strong> Lake Malawi share a peculiarity with those <strong>of</strong> Lake Victoria. It is common to find<br />

two or more completely different coloured kinds <strong>of</strong> males in <strong>the</strong> same place, yet <strong>the</strong>se colour forms show only very<br />

subtle differences in body proportions or o<strong>the</strong>r characteristics. The same holds for <strong>the</strong> chambo species Oreochromis<br />

karongae and O. squamipinnis. Although this tends to be taken for granted by people who work on Lakes Malawi<br />

and Victoria, it is actually an extremely unusual phenomenon. Pioneering researchers, such as Fryer (1959)<br />

considered that <strong>the</strong>se colour forms were morphs <strong>of</strong> <strong>the</strong> same species, but with <strong>the</strong> advent <strong>of</strong> SCUBA equipment,<br />

later studies by Holzberg (1972) and Ribbink et al. (1983) showed that subtle differences in habitat preferences and<br />

behaviour were correlated with colour differences, suggesting that <strong>the</strong>se forms were indeed different species.<br />

The first studies to test genetic differentiation between sympatric (co-occurring at <strong>the</strong> same site) species used<br />

allozyme electrophoresis to investigate three forms <strong>of</strong> Petrotilapia spp. at Monkey Bay (McKaye et al. 1982) and<br />

four forms <strong>of</strong> Pseudotropheus zebra at Nkhata Bay (McKaye et al. 1984). All <strong>of</strong> <strong>the</strong> Petrotilapia were found to be<br />

genetically differentiated, and <strong>the</strong>y were later described as new species (Marsh 1983). The P. zebra colour forms fell<br />

into two species groups, <strong>the</strong> blue and black striped (BB) and <strong>the</strong> orange blotch (OB) forms were genetically<br />

indistinguishable, and thus considered to be one species, while <strong>the</strong> plain blue (B) and <strong>the</strong> plain white (W) forms<br />

were considered to be a second genetically distinct species, later named Pseudotropheus callainos (Stauffer & Hert<br />

1992).<br />

We employed microsatellites to test for differences among three putative species <strong>of</strong> <strong>the</strong> P. zebra complex (P. zebra,<br />

P. callainos, P. ‘gold zebra’) and six <strong>of</strong> <strong>the</strong> P. tropheops complex (‘olive’, ‘mauve’, ‘band’, ‘rust’, ‘black’ and<br />

‘deep’) at Nkhata Bay. In two <strong>of</strong> <strong>the</strong>se comparison, P. ‘tropheops band’ v P. ‘tropheops rust’ and P. zebra v P. ‘gold<br />

zebra’, <strong>the</strong> females were so similar in appearance that we could not trust ourselves to identify <strong>the</strong>m reliably, and we<br />

had to confine our sampling to sexually mature males in breeding colours. All nine forms showed significant genetic<br />

differentiation (van Oppen et al. 1998).


38<br />

Lake Malawi Fisheries Management Symposium - Proceedings<br />

All three studies have consistently demonstrated that colour forms <strong>of</strong> mbuna found in <strong>the</strong> same location tend to be<br />

different species. The exception lies in <strong>the</strong> BB/OB and B/W forms <strong>of</strong> <strong>the</strong> P. zebra complex. These colour forms<br />

seem to represent within-species polymorphisms. It is striking that <strong>the</strong> rarer colour form (OB and W) are mostly<br />

found in females- males <strong>of</strong> <strong>the</strong>se forms are extremely rare are around 100 times less abundant than females. So, <strong>the</strong><br />

pattern seems to be one common male colour form at a site = one species.<br />

O<strong>the</strong>r applications to conservation biology<br />

Molecular methods can also be used in <strong>the</strong> study <strong>of</strong> <strong>the</strong> genetic variability <strong>of</strong> populations that have undergone a drop<br />

in density. Sometimes, when population size is dramatically reduced, <strong>the</strong>re can be a sharp loss in genetic variation,<br />

which can persist even after numbers have increased. This has <strong>the</strong> potential to limit <strong>the</strong> population’s potential to<br />

persist in <strong>the</strong> long run, as <strong>the</strong>re may be a lack <strong>of</strong> genetic variants that can cope with novel environmental stresses. In<br />

<strong>the</strong> most extreme cases, <strong>the</strong> population can become inbred, meaning that individuals can end up with 2 copies <strong>of</strong><br />

harmful recessive genes, <strong>the</strong> effects <strong>of</strong> which are normally masked. This can lead to populations declining into<br />

extinction. In such circumstances, transplantation <strong>of</strong> individuals from o<strong>the</strong>r populations might be needed to restore<br />

variability. Loss <strong>of</strong> genetic diversity can <strong>of</strong>ten be a problem in captive-bred stocks, and can lead to changes in stock<br />

<strong>management</strong> practises.<br />

Non-molecular approaches to assessing population structure<br />

Tagging<br />

The most obvious way to study fish movements is to catch fish, mark or tag <strong>the</strong>m in some way and <strong>the</strong>n wait until<br />

<strong>the</strong>y are recaptured and see where <strong>the</strong>y turn up. Lowe (1952) tagged 6,237 chambo in <strong>the</strong> SE Arm, with <strong>the</strong> intention<br />

<strong>of</strong> using mark and recapture data to determine growth rates. She recovered 2 fish. A tagging experiment with utaka<br />

around Likoma was carried out in <strong>the</strong> 1980s, but with little apparent success (Jennings, pers. comm.). There are<br />

several reasons why tagging is unlikely to prove effective with most Lake Malawi fishes.<br />

First <strong>of</strong> all, <strong>the</strong> <strong>fisheries</strong> are based on catching very large numbers <strong>of</strong> very small fish. In <strong>the</strong> early 1990s, <strong>the</strong> estimate<br />

annual catch <strong>of</strong> Lethrinops ‘pink head’ from Lake Malombe was 850,000,000 fish (Turner 1996). The total<br />

population <strong>of</strong> Diplotaxodon limnothrissa in Lake Malawi was estimated at around 1,450,000,000 fish (Turner 1996).<br />

With such huge populations, an immense number would need to be tagged and a vast number <strong>of</strong> captured fishes<br />

examined for tags to have a hope <strong>of</strong> finding any tagged and released fish at all.<br />

For most tagging studies, fishery biologists depend on fishermen to notice tags and return <strong>the</strong>m, usually to claim a<br />

reward. This is likely to be very difficult in a situation such as pertains around Lake Malawi, where thousands <strong>of</strong><br />

illiterate fishermen are scattered around hundreds <strong>of</strong> separate fishing villages. Perhaps radio announcements might<br />

be <strong>the</strong> only way to contact <strong>the</strong>m.<br />

The most severe problem lies in studies <strong>of</strong> <strong>the</strong> cichlid fishes, which make up by far <strong>the</strong> most significant part <strong>of</strong> <strong>the</strong><br />

<strong>lake</strong>’s catch by weight and value. Cichlids have closed swimbladders. When brought to <strong>the</strong> surface from deep water,<br />

<strong>the</strong> gas in <strong>the</strong> bladder doubles in volume for every 10 metres ascended. Fish with open swimbladders can expel<br />

excess gas via a duct to <strong>the</strong> gut, but cichlids have to rely on much slower physiological processes. In a series <strong>of</strong><br />

experiments, Ribbink and co-workers demonstrated that mbuna required many hours to adjust to modest depth<br />

changes (summarised in Ribbink et al. 1983). In my own experience, few mbuna or chambo can survive being<br />

brought directly to <strong>the</strong> surface from depths in excess <strong>of</strong> 10 metres. It has been suggested that pelagic cichlids such as<br />

<strong>the</strong> ‘big-eye’ species <strong>of</strong> Diplotaxodon migrate from great depths to <strong>the</strong> surface at night (Thompson et al. 1995),<br />

which might indicate special adaptations to rapid pressure changes. However, in April 2001, I conducted a pilot<br />

study to see if it would be possible to collect live Diplotaxodon and Rhamphochromis from chilimira catches at<br />

Nkhata Bay. Survival <strong>of</strong> Diplotaxodon was zero out <strong>of</strong> more than 50 individuals, including some <strong>of</strong> <strong>the</strong> big-eye<br />

species. It seems highly unlikely that any cichlids collected by normal fishing methods, o<strong>the</strong>r than a few seined from<br />

shallow shores or very close to <strong>the</strong> surface, could possibly survive capture and tagging.<br />

Thus, it seems that for more species, tagging studies can be ruled out as a practical method for <strong>the</strong> study <strong>of</strong> stock<br />

structure in Lake Malawi.


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

Parasite studies<br />

Several studies <strong>of</strong> marine fish migrations have been able to show that populations <strong>of</strong> fish do not intermingle because<br />

<strong>the</strong>y have distinct populations <strong>of</strong> parasites, which could be transmitted, were <strong>the</strong>y ever in close contact. Equally,<br />

knowledge <strong>of</strong> <strong>the</strong> life histories <strong>of</strong> particular parasites may indicate that fish must have been infected in a different<br />

place to where <strong>the</strong>y have presently been collected, showing that <strong>the</strong>y have spent time at <strong>the</strong> site where <strong>the</strong> infective<br />

stages <strong>of</strong> <strong>the</strong> parasite can be found. The use <strong>of</strong> parasites as ‘biological tags’ is reviewed by MacKenzie & Abaunza<br />

(1998). Unfortunately, almost nothing is known <strong>of</strong> <strong>the</strong> taxonomy or life histories <strong>of</strong> fish parasites in Lake Malawi. It<br />

seems likely that many cichlid species will probably prove to be so closely related and recently diverged from one<br />

ano<strong>the</strong>r that <strong>the</strong>y have not had time to evolve different parasites.<br />

Otolith microchemistry<br />

Ano<strong>the</strong>r recently developed hi-tech method is <strong>the</strong> analysis <strong>of</strong> chemical composition <strong>of</strong> hard tissues, such as otoliths.<br />

The method has been useful in distinguishing among fish which spend part <strong>of</strong> <strong>the</strong> time in <strong>the</strong> sea from those living<br />

entirely in freshwater (Limburg et al. 1998), distinguishing those spending all <strong>of</strong> <strong>the</strong>ir time in <strong>the</strong> sea from those<br />

spending part <strong>of</strong> <strong>the</strong> time in freshwater (Tsukamoto et al. 1998) and in distinguishing marine fish which had<br />

originated from different estuaries (Milton et al. 1997) or freshwater streams (Kennedy et al. 2000). It is doubtful if<br />

<strong>the</strong> method has any use in distinguishing among fishes from different parts <strong>of</strong> <strong>the</strong> same <strong>lake</strong>, although it might be<br />

worth trying out <strong>the</strong> method on river-spawning fishes, such as mpasa and sanjika.<br />

Species identification<br />

Given <strong>the</strong> limited amount <strong>of</strong> information on species distributions and catch compositions, much can still be learned<br />

from simply recording <strong>the</strong> species composition <strong>of</strong> fishery catches. This can give a useful rough estimate <strong>of</strong> gear<br />

interactions within a restricted geographical locality, but cannot really delimit <strong>the</strong> geographic extent <strong>of</strong> stocks.<br />

Conclusion<br />

Molecular studies <strong>of</strong> stock structure are expensive, and require considerable technical expertise and sophisticated<br />

equipment. Is <strong>the</strong> effort worthwhile? I suggest that it is.<br />

Most <strong>management</strong> decisions concerning Lake Malawi <strong>fisheries</strong> are made on <strong>the</strong> basis <strong>of</strong> ‘rules <strong>of</strong> thumb’, ra<strong>the</strong>r than<br />

hard quantitative evidence. In truth, nobody really knows whe<strong>the</strong>r most stocks are over- or under-exploited. Beach<br />

seines are regarded as destructive on <strong>the</strong> basis <strong>of</strong> little hard evidence (Sarch & Allison 2000), based on inspection <strong>of</strong><br />

species and sizes caught, with little knowledge <strong>of</strong> <strong>the</strong> real levels <strong>of</strong> juvenile mortality and its link to population sizes<br />

<strong>of</strong> exploited species. Closed seasons are not closely linked to any quantitative assessment <strong>of</strong> breeding seasonality, or<br />

any detailed knowledge <strong>of</strong> <strong>the</strong> effects <strong>of</strong> recruitment on exploitation during <strong>the</strong> breeding season (FAO 1993). Trawl<br />

fishery licences are allocated on <strong>the</strong> basis <strong>of</strong> crude biomass estimates from trawl surveys, with possibly unjustified<br />

assumptions made on <strong>the</strong> relationship between trawl CPUE and biomass and between biomass and MSY (FAO<br />

1976).<br />

None <strong>of</strong> <strong>the</strong>se statements should be interpreted as criticism <strong>of</strong> <strong>the</strong> <strong>fisheries</strong> institutions <strong>of</strong> <strong>the</strong> riparian countries. The<br />

size and complexity <strong>of</strong> <strong>the</strong> <strong>lake</strong>, its fauna and its <strong>fisheries</strong> render attempts at data collection and interpretation a<br />

daunting task. But what I am suggesting is that it is important to prioritise use <strong>of</strong> research resources, particularly<br />

manpower. Molecular studies <strong>of</strong> stock structure can be carried out with <strong>the</strong> assistance <strong>of</strong> externally funded projects<br />

and external expertise, with little cost in staff time or resources from local institutions. A persistent problem with<br />

short-term externally-funded and largely externally-implemented projects is that <strong>of</strong> ensuring that <strong>the</strong> work continues<br />

after <strong>the</strong> end <strong>of</strong> <strong>the</strong> funding. Fortunately, this is not necessary with work on molecular stock structure. Occasionally,<br />

it might be useful to repeat such a study to look for temporal changes in migration patterns resulting from major<br />

changes in environmental conditions or exploitation regimes. However, in general, <strong>the</strong> work need only be done once<br />

in order to generate useful rules <strong>of</strong> thumb, which can inform <strong>management</strong> recommendations in perpetuity.<br />

Acknowledgements<br />

The research on which this paper was based was funded by <strong>the</strong> UK Department for International Development<br />

(DFID) Environment Research Programme and by <strong>the</strong> Natural Environment Research Council (NERC), and carried<br />

out with <strong>the</strong> co-operation <strong>of</strong> <strong>the</strong> Dept. <strong>of</strong> Fisheries, Malawi, TAFIRI and <strong>the</strong> University <strong>of</strong> Malawi.


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

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London.<br />

MacKenzie, K. & Abauza, P. 1998. Parasites as biological tags for stock discrimination <strong>of</strong> marine fish: a guide to procedures and<br />

methods. Fisheries Research 38, 45-56.<br />

Majerus, M., Amos, W. & Hurst, G. 1994. Evolution: <strong>the</strong> Four Billion Year War. Longman, Halrow, England.<br />

Markert, J.A., Arnegard, M.E., Danley, P.D. & Kocher, T.D. 1999. Biogeography and population genetics <strong>of</strong> <strong>the</strong> Lake Malawi<br />

cichlid Melanochromis auratus: habitat transience, philopatry and speciation. Mol. Ecol. 8, 1013-1026.<br />

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McKaye, K.R., Kocher, T., Reinthal, P. & Kornfield, I. 1982. A sympatric sibling species complex <strong>of</strong> Petrotilapia Trewavas<br />

from Lake Malawi analysed by enzyme electrophoresis (Pisces: Cichlidae). Zool. J. Linn. Soc. 76, 91-96.<br />

McKaye, K.R., Kocher, T., Reinthal, P., Harrison, R. & Kornfield, I. 1984. Genetic evidence for allopatric and sympatric<br />

differentiation among colour morphs <strong>of</strong> Lake Malawi cichlid fish. Evolution 38, 215-219.<br />

Menz, A. (ed.) The Fishery Potential and Productivity <strong>of</strong> <strong>the</strong> Pelagic Zone <strong>of</strong> Lake Malawi/Niassa. Natural Resources Institute,<br />

Chatham, UK.<br />

Menz, A., Bulirani, A. & Goodwin, C.M. 1995. Acoustic estimates <strong>of</strong> fish biomass. Pp. 307-349 in Menz (ed.) The Fishery<br />

Potential and Productivity <strong>of</strong> <strong>the</strong> Pelagic Zone <strong>of</strong> Lake Malawi/Niassa. Natural Resources Institute, Chatham, UK.<br />

Milton, D.A., Chenery, S.R., Farmer, M.J. & Blaber, S.J.M. 1997. Identifying <strong>the</strong> spawning estuaries <strong>of</strong> <strong>the</strong> tropical shad<br />

Tenualosa toli, using otolith microchemistry. Mar. Ecol. Prog. Series 153, 283-291.<br />

Mueller, U.G. & Wolfenbarger, L.L. 1999. AFLP genotyping and fingerprinting. Trends Ecol. Evol. 14, 389-394.<br />

Ribbink, A.J., Marsh, B.A., Marsh, A.C., Ribbink, A.C. & Sharp, B.J. 1983. A preliminary survey <strong>of</strong> <strong>the</strong> cichlid fishes <strong>of</strong> rocky<br />

habitats in Lake Malawi. S. Afr. J. Zool. 18, 149-310.<br />

Sarch, M.T. & Allison, E.H. 2000. Fluctuating <strong>fisheries</strong> from Africa’s inland waters: well adapted livelihoods, maladapted<br />

<strong>management</strong>. Proceedings <strong>of</strong> <strong>the</strong> 10 th International Conference <strong>of</strong> <strong>the</strong> Institute <strong>of</strong> Fisheries Economics and Trade,<br />

Corvallis, Oregon. http://osu.orst.edu/dept/IIFET/2000/papers/sarch/pdf<br />

Shaw, P.W., Turner, G.F., Idid, M.R., Robinson, R.L. & Carvalho, G.R. 2000. Genetic population structure indicates sympatric<br />

speciation <strong>of</strong> Lake Malawi pelagic cichlids. Proc. Roy Soc. London B 267, 2273-2280.<br />

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Technical Paper 306/1.<br />

Stauffer, J.R. & Hert, E. 1992. Pseudotropheus callainos, a new species <strong>of</strong> mbuna (Cichlidae), with analysis <strong>of</strong> changes<br />

associated with two intra-lacustrine transplantations in Lake Malawi, Africa. Ichthyol. Explore. Freshwaters 3, 253-<br />

264.<br />

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<strong>of</strong> Lake Malawi/Niassa. Natural Resources Institute, Chatham, UK.


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Thompson, A.B., Allison, E.H. & Ngatunga, B.P. 1995. Spatial and temporal distribution <strong>of</strong> fish in pelagic waters. Pp. 279-307 in<br />

Menz (ed.) The Fishery Potential and Productivity <strong>of</strong> <strong>the</strong> Pelagic Zone <strong>of</strong> Lake Malawi/Niassa. Natural Resources<br />

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Pelagic Cichlid Fishes <strong>of</strong> Lake Malawi/Niassa/Nyasa. Ncheni Project Final Report, University <strong>of</strong> Hull, UK<br />

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mating among rock-dwelling cichlid fishes supports high estimates <strong>of</strong> species richness from Lake Malawi. Molecular<br />

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Fisheries Development, Management, and <strong>the</strong> Role <strong>of</strong> Government<br />

Tony Seymour<br />

Bryn Eryr Uchaf, Llansadwrn, Anglesey LL59 5SA, UK, Telephone +44 (0)1248 712540, Fax +44 (0)1248 717234,<br />

Email: seymourevans@hotmail.com<br />

Abstract<br />

Studies conducted over <strong>the</strong> past decade have identified pelagic and deep demersal fish stocks in Lake Malawi capable <strong>of</strong> sustaining<br />

an annual yield in excess <strong>of</strong> 40,000 tonnes but only marginally exploited at present. In addition, <strong>the</strong>re are underexploited stocks <strong>of</strong><br />

small demersal cichlids in Lake Malawi in depths <strong>of</strong> less than 50m, and <strong>the</strong>re are opportunities for increasing production from <strong>the</strong><br />

existing artisanal <strong>fisheries</strong> <strong>of</strong> Lakes Malawi and Malombe by managing <strong>the</strong>m better and by paying closer attention to <strong>the</strong> near-shore<br />

environment. From <strong>the</strong> standpoint <strong>of</strong> sustainable biological productivity <strong>the</strong>re is no reason why annual production should not be<br />

doubled over current levels.<br />

Translating biological potential into industrial output is not simply a matter <strong>of</strong> importing technologies and securing a source <strong>of</strong><br />

investment capital. Development <strong>of</strong> <strong>the</strong> fishing industry will require at least as much attention to entrepreneurial development as to<br />

technological change. It is suggested that nei<strong>the</strong>r <strong>of</strong> <strong>the</strong> two smaller-scale categories <strong>of</strong> fishing business on Lakes Malawi and<br />

Malombe – artisanal and small-scale mechanised – function in <strong>the</strong> same way as enterprises <strong>of</strong> comparable scale in <strong>the</strong> fishing<br />

industries <strong>of</strong> developed nations. It will be necessary to break <strong>the</strong> barriers which currently limit <strong>the</strong> capacity <strong>of</strong> individual enterprises<br />

to expand, and prevent <strong>the</strong>ir graduation from one level to ano<strong>the</strong>r. It will be necessary also to develop a vision for <strong>the</strong> industry which<br />

focuses on human resource development, foresees <strong>the</strong> creation <strong>of</strong> intermediate stages in business complexity so as to facilitate<br />

enterprise growth, and guides <strong>the</strong> acquisition and flow <strong>of</strong> information. The capture <strong>of</strong> information via short-term expatriate experts<br />

may be less efficient than <strong>the</strong> secondment <strong>of</strong> Malawian fishermen to overseas fishing industries and, under controlled conditions,<br />

<strong>the</strong> encouragement <strong>of</strong> joint ventures with o<strong>the</strong>r fishing nations. To date, Malawi’s efforts in <strong>fisheries</strong> development appear clumsy and<br />

poorly researched when compared to <strong>the</strong> sophistication <strong>of</strong> scientific studies on <strong>the</strong> resource base.<br />

Hi<strong>the</strong>rto, <strong>the</strong> market has not been a constraint to <strong>fisheries</strong> development. Nationally and regionally <strong>the</strong> demand for fish exceeds <strong>the</strong><br />

supply by a substantial margin, and, in keeping with Malawi’s strength as a trading nation, <strong>the</strong> fish trade has proved vigorous and<br />

extremely adaptable. That does not mean that it could not be improved, needs no support, or might not become a constraint at<br />

higher levels <strong>of</strong> production. Ultimately, <strong>the</strong> streng<strong>the</strong>ning <strong>of</strong> producer-trader linkages, <strong>the</strong> development <strong>of</strong> community-based<br />

organisations for business as well as <strong>management</strong> functions and <strong>the</strong> exploration <strong>of</strong> export markets might provide new points <strong>of</strong><br />

departure for <strong>fisheries</strong> development.<br />

Service provision has been a major issue in recent years. Experience gained since <strong>the</strong> early 1990s has shown that <strong>the</strong> withdrawal <strong>of</strong><br />

government services to <strong>the</strong> fishing industry did little to stimulate entrepreneurial development but instead led to a discernible<br />

weakening <strong>of</strong> <strong>the</strong> sector, with negative economic and environmental consequences. World-wide, fishing industries tend to comprise<br />

a patchwork <strong>of</strong> private sector and state-led elements, and it is considered normal for governments to intervene in areas unattractive<br />

to <strong>the</strong> private sector and to use direct cash transfers and subsidies, both as instruments <strong>of</strong> development (fleet renewal, new<br />

technology) and <strong>management</strong> (decommissioning and buy-back). Although private sector participation in <strong>the</strong> <strong>fisheries</strong> ancillary trades<br />

must be retained as a development goal, <strong>the</strong> Government <strong>of</strong> Malawi is now faced with <strong>the</strong> need to rebuild and expand upon its<br />

former services network if <strong>the</strong> production opportunities so clearly identified are to be exploited within <strong>the</strong> foreseeable future.<br />

The development <strong>of</strong> new mechanised and artisanal <strong>fisheries</strong> has important implications for <strong>management</strong> if it is to avoid a harmful<br />

accumulation <strong>of</strong> effort on hard-pressed traditional stocks. There are some signs that, despite <strong>the</strong> daunting size <strong>of</strong> <strong>the</strong> task ahead,<br />

Malawi is on <strong>the</strong> right course in implementing its co-<strong>management</strong> policy. But <strong>the</strong> handling <strong>of</strong> interactions between <strong>the</strong> anticipated<br />

future generations <strong>of</strong> mechanised and artisanal <strong>fisheries</strong> will require <strong>management</strong> skills <strong>of</strong> a higher order than those evident in<br />

recent years. The potential for increased economic rewards will be tempered by increasing risk as <strong>the</strong> complexity and catching<br />

power <strong>of</strong> <strong>the</strong> industry grows.<br />

Introduction<br />

Whoever wishes to understand <strong>the</strong> fishery sector in Malawi has to negotiate some fundamental anomalies and<br />

uncertainties. Lake Malawi is over-fished. It is also under-fished. Its <strong>fisheries</strong> are over-subscribed, and underdeveloped.<br />

It <strong>the</strong>refore needs both <strong>management</strong> and development, responsibility for which would until recently have<br />

been assigned without hesitation to <strong>the</strong> government. But in both <strong>of</strong> <strong>the</strong>se fields <strong>the</strong> role <strong>of</strong> government is in a process<br />

<strong>of</strong> redefinition, and <strong>the</strong> lines dividing public and private responsibility have yet to be clearly drawn. This paper is a<br />

contribution to <strong>the</strong> public-private debate, and starts by proposing a framework for increasing production.<br />

• The immediate productive potential <strong>of</strong> <strong>the</strong> fishing industry <strong>of</strong> Lakes Malawi and Malombe is defined by <strong>the</strong><br />

following five factors:<br />

• <strong>the</strong> extent and nature <strong>of</strong> <strong>the</strong> fish resources;<br />

• <strong>the</strong> market for fish, both domestic and export, and <strong>the</strong> efficiency with which <strong>the</strong> fish trade is able to match<br />

landings with markets;<br />

• <strong>the</strong> human resource base <strong>of</strong> <strong>the</strong> catching subsector, including skills in fishing and financial <strong>management</strong>,<br />

and <strong>the</strong> ability to retain and reinvest earnings;<br />

• <strong>the</strong> availability and nature <strong>of</strong> ancillary industries and services, including boatbuilding, gear and equipment<br />

supply, ice, financial services and technical advisory support, and<br />

• <strong>the</strong> effectiveness <strong>of</strong> <strong>fisheries</strong> <strong>management</strong> regimes, whe<strong>the</strong>r operated by <strong>the</strong> government, <strong>the</strong> industry itself,<br />

or jointly.


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The following sections <strong>of</strong> this paper aim to take stock <strong>of</strong> <strong>the</strong> current position with regard to each <strong>of</strong> <strong>the</strong>se factors,<br />

and to suggest what roles <strong>the</strong> government might properly assume in facilitating <strong>the</strong> realisation <strong>of</strong> production<br />

opportunities so clearly identified by recent resource assessments. It will be suggested that merely identifying<br />

underexploited resources and developing appropriate harvesting technologies will not be sufficient to ensure that <strong>the</strong><br />

desired outcome is actually achieved. Instead, a conscious industrial development approach is required, with as<br />

much attention paid to assisting enterprise growth as to “transferring technology”, as well as government’s<br />

resumption <strong>of</strong> many <strong>of</strong> <strong>the</strong> industry support functions divested during <strong>the</strong> 1990s.<br />

Resources and <strong>fisheries</strong><br />

Over <strong>the</strong> past decade a succession <strong>of</strong> scientific studies have brought about a quantum leap in our understanding <strong>of</strong><br />

<strong>the</strong> abundance, biology and ecology <strong>of</strong> <strong>the</strong> fish stocks <strong>of</strong> <strong>the</strong> Lake Malawi system. Although some important gaps<br />

remain, it is now possible to speak with some confidence <strong>of</strong> <strong>the</strong> potential yields from currently unexploited <strong>fisheries</strong>,<br />

or <strong>of</strong> <strong>fisheries</strong> from which better <strong>management</strong> might lead to improved yields. Fish stocks in Lake Malawi that are<br />

currently unexploited or only marginally exploited are listed in Table 1.<br />

Of <strong>the</strong> stocks identified above, some are already targeted to a limited extent by existing fishing operations.<br />

MALDECO harvests around 1,000 tonnes annually from <strong>the</strong> deep demersal stocks in <strong>the</strong> north <strong>of</strong> <strong>the</strong> South East<br />

Arm (Area C) and <strong>the</strong> South West Arm, as well as ano<strong>the</strong>r 1,000 tonnes <strong>of</strong> pelagics, principally Diplotaxodon and<br />

Rhamphochromis spp. In addition, <strong>the</strong> artisanal <strong>fisheries</strong> take small quantities <strong>of</strong> Rhamphochromis, and variable –<br />

and sometimes very large – quantities <strong>of</strong> Engrualicypris sardella. Overall, Table 1 represents a biologically feasible<br />

increase in annual yield from Lake Malawi <strong>of</strong> around 40,000 tonnes.<br />

Shallow water (


44<br />

Lake Malawi Fisheries Management Symposium - Proceedings<br />

8. Enhancement <strong>of</strong> <strong>the</strong> existing artisanal <strong>fisheries</strong> by improving <strong>management</strong>, drawing from a wide range <strong>of</strong><br />

potential <strong>management</strong> measures including entry and effort limitation, closed or limited-fishery areas and<br />

prohibition or restriction <strong>of</strong> harmful gears.<br />

Table 1. Biomass and sustainable yield estimates <strong>of</strong> marginally exploited stocks in Lake Malawi<br />

Stock Area Author Biomass Yield as<br />

% <strong>of</strong><br />

stock<br />

Estimated<br />

sustainable<br />

yield<br />

Demersal stocks<br />

Deep demersal South East Arm (C) 1994-96 Banda & Tόmasson 1997<br />

6,040 30 1,812<br />

(>50m)<br />

South West Arm 1994-96<br />

7,220 30 2,166<br />

Domira Bay to Chia Lagoon 1994-95 Banda& Tόmasson 1996<br />

6,865 30 2,060<br />

Chia to Nkhotakota 1994 850 30 255<br />

Nkhotakota to Dwangwa 1994 1,050 30 315<br />

Dwangwa to Sanga 1994<br />

3,570 30 1,071<br />

Ngara to Lufira 1981 Tweddle 1981 1,588 45 715<br />

Total 27,183 8,394<br />

Offshore pelagic stocks<br />

Diplotaxodon Lake Malawi Menz & Thompson 1995 119,700 19 22,700<br />

Rhamphochromis 16,800 17 2,800<br />

Copadichromis 8,700 16 1,400<br />

O<strong>the</strong>r cichlids 3,400 18 600<br />

Engraulicypris 5,100 63 3,200<br />

Opsaridium 1,300 23 300<br />

Synodontis<br />

13,400 17 2,300<br />

Total 168,400 33,300<br />

Total 41,694<br />

Markets<br />

Hi<strong>the</strong>rto, <strong>the</strong> market has not been a primary constraint to <strong>fisheries</strong> development. Nationally and regionally <strong>the</strong><br />

demand for fish exceeds <strong>the</strong> supply by a substantial margin, and <strong>the</strong> fish trade has proved vigorous and extremely<br />

adaptable. That does not mean that it could not be improved, needs no support, or might not become a constraint if<br />

fish production is significantly increased; but in Malawi <strong>the</strong> market must, for <strong>the</strong> present, be considered <strong>of</strong> secondary<br />

importance in conditioning <strong>the</strong> evolution <strong>of</strong> <strong>the</strong> sector.<br />

The processing, distribution and ultimate retailing <strong>of</strong> fish within Malawi is mostly undertaken by a very large<br />

number <strong>of</strong> small-scale operators. Processing infrastructure is generally simple and requires little capital investment:<br />

it is frequently owned by members <strong>of</strong> <strong>the</strong> <strong>lake</strong>shore fishing communities, and may be rented out to visiting<br />

trader/processors. Some distributors own a means <strong>of</strong> transport (bicycles, pickup trucks), but many rely on public<br />

transport. Four principal pricing points exist – <strong>the</strong> beach or landed price, a <strong>lake</strong>shore wholesale price (usually for<br />

processed fish), an inland/urban wholesale price and <strong>the</strong> final retail or consumer price. Typically <strong>the</strong> consumer price<br />

is 2-4 times <strong>the</strong> beach price, with <strong>the</strong> major part <strong>of</strong> <strong>the</strong> margin and pr<strong>of</strong>it concentrated at <strong>the</strong> final retail stage.<br />

Although <strong>the</strong>re is some degree <strong>of</strong> specialization into processors, wholesale distributors and retailers, <strong>the</strong> high<br />

pr<strong>of</strong>itability <strong>of</strong> retailing encourages many traders to engage in <strong>the</strong> entire cycle, each processing, transporting and<br />

retailing relatively tiny quantities <strong>of</strong> fish.<br />

What is perhaps surprising, given that <strong>the</strong> fish trade is a well-established and pr<strong>of</strong>itable business with an annual<br />

marginal value <strong>of</strong> some US$25 millions, is that <strong>the</strong> scale <strong>of</strong> processing and trading enterprises remains so small.<br />

Only on rare occasions has any individual venture (outside Maldeco’s distribution system) advanced beyond <strong>the</strong><br />

level <strong>of</strong> <strong>the</strong> one-tonne pickup truck. The reasons for this are probably similar to those which limit <strong>the</strong> size <strong>of</strong><br />

artisanal fishing businesses, a subject discussed below. It is a matter <strong>of</strong> debate whe<strong>the</strong>r large-scale fish<br />

processing/distribution enterprises would actually benefit <strong>the</strong> fishery sector – an increase in scale would lower unit<br />

distribution costs and might make it easier to improve product standards, but it would also cut into <strong>the</strong> widespread<br />

rural and urban employment opportunities afforded by this dynamic and highly accessible trade.<br />

These statements about <strong>the</strong> fish trade are based on contemporary personal observation and quantitative studies<br />

dating from <strong>the</strong> late 1980s (e.g. Seymour 1988, 1989), but <strong>the</strong> author is not aware <strong>of</strong> recent research that might<br />

substantiate <strong>the</strong>m. In view <strong>of</strong> <strong>the</strong> potential for increasing fish production from Lake Malawi, a high priority should<br />

be placed on investigations into <strong>the</strong> effective domestic and regional demand for fish products, consumer preferences<br />

and quality/price relationships, and <strong>the</strong> present and likely future impact <strong>of</strong> <strong>the</strong> September 2000 SADC trade


45<br />

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agreement. Ultimately, <strong>the</strong> streng<strong>the</strong>ning <strong>of</strong> producer-trader linkages, <strong>the</strong> development <strong>of</strong> community-based<br />

organizations for business as well as <strong>management</strong> functions (producer associations) and <strong>the</strong> exploration <strong>of</strong> export<br />

markets might provide new points <strong>of</strong> departure for <strong>fisheries</strong> development.<br />

The fishermen<br />

A much more important determinant <strong>of</strong> past fishery performance, and a strong indicator <strong>of</strong> development potential, is<br />

<strong>the</strong> human resource base <strong>of</strong> <strong>the</strong> catching subsector. In Malawi <strong>the</strong> fishing industry is usually – and rightly – divided<br />

into three levels <strong>of</strong> operation. These are: artisanal (mostly small-scale commercial “traditional” <strong>fisheries</strong>, with some<br />

subsistence fishing), small-scale mechanised (pair trawlers and small stern trawlers) and large-scale mechanised<br />

(MALDECO). The three have quite different human resource characteristics.<br />

In 1999 <strong>the</strong> artisanal <strong>fisheries</strong> <strong>of</strong> Lakes Malawi and Malombe employed almost 40,000 fishermen, <strong>of</strong> which 21%<br />

were gear owners and <strong>the</strong> remainder crew (Weyl et al., 2000). Only a tiny proportion <strong>of</strong> <strong>the</strong> workforce has received<br />

any kind <strong>of</strong> formal training in fishing technology. From unsophisticated beginnings based on natural fibre gears and<br />

dugout canoes, <strong>the</strong> industry made substantial technical advances during <strong>the</strong> 1960s, when multifilament netting first<br />

became widely available, and <strong>the</strong> 1970s, when improved V-bottom planked boats became popular. During this<br />

period imported outboard motors were used in <strong>the</strong> more pr<strong>of</strong>itable – mostly chilimira – <strong>fisheries</strong>, and simple sail<br />

technology was copied from Mozambique in Likoma and Makanjira. For <strong>the</strong> past 25 years, however, very little in<br />

<strong>the</strong> way <strong>of</strong> new technology has been made available to <strong>the</strong> artisanal fishermen. Their poverty effectively isolates<br />

<strong>the</strong>m from technical progress in o<strong>the</strong>r countries, exposure to which might o<strong>the</strong>rwise be gained through travel, trade<br />

publications, exhibitions. One might have expected it to be <strong>the</strong> proper role <strong>of</strong> <strong>the</strong> Fisheries Department to keep <strong>the</strong><br />

industry abreast <strong>of</strong> worldwide technical advances, but <strong>the</strong> fact is that <strong>the</strong> government was almost as impoverished as<br />

<strong>the</strong> fishermen, and overseas training for Fisheries Department <strong>of</strong>ficials focused much more on <strong>the</strong> biology and<br />

<strong>management</strong> <strong>of</strong> fish stocks than on <strong>the</strong> mechanics <strong>of</strong> catching <strong>the</strong>m. Although shut <strong>of</strong>f from <strong>the</strong> outside world and<br />

modern fishing materials, <strong>the</strong>re is nothing to suggest that Malawi’s artisanal fishermen are any less competent or<br />

inventive than those elsewhere. A great diversity <strong>of</strong> fishing techniques has evolved, including floating longlines,<br />

bottom-set mon<strong>of</strong>ilament longlines, towed gillnets, pair-trawling with dugouts, artificial reefs and a variety <strong>of</strong> lightattraction<br />

methods, all using various recombinations <strong>of</strong> <strong>the</strong> very limited range <strong>of</strong> vessels and fishing materials<br />

available. When interviewed, fishermen <strong>of</strong>ten express frustration at <strong>the</strong>ir backwardness, and eagerness to experiment<br />

with new materials, fishing technologies and fishing craft.<br />

It is notable that within <strong>the</strong> artisanal <strong>fisheries</strong>, which produce an annual catch worth US$12-15 millions 1 , hardly any<br />

fishermen have become wealthy, and <strong>the</strong> largest enterprises amount only to a few small fishing units and perhaps a<br />

pickup truck. There is more to this than poor catch rates resulting from overfishing – <strong>the</strong>re is almost certainly a<br />

range <strong>of</strong> social and structural factors at play that contain <strong>the</strong> size <strong>of</strong> individual enterprises. The social and economic<br />

dynamics <strong>of</strong> fishing communities have not been studied in Malawi, but it is suggested that some <strong>of</strong> <strong>the</strong> following<br />

may be important:<br />

• <strong>the</strong> extended family system, in which personal responsibility increases in proportion to personal wealth,<br />

and which operates against a background <strong>of</strong> poverty and increasing dependency resulting from HIV/AIDS;<br />

• linked to <strong>the</strong> above, an inability on <strong>the</strong> part <strong>of</strong> artisanal fishermen to separate business finances from <strong>the</strong><br />

household economy, leaving business capital exposed to <strong>the</strong> needs <strong>of</strong> <strong>the</strong> extended family;<br />

• village-level social mechanisms that inhibit obvious personal success;<br />

• an inheritance system that more or less guarantees <strong>the</strong> dissolution <strong>of</strong> a business on <strong>the</strong> death <strong>of</strong> its founder,<br />

preventing inter-generational transfer <strong>of</strong> successful businesses;<br />

• <strong>the</strong> lack <strong>of</strong> rural banking services in <strong>lake</strong>shore areas;<br />

• high levels <strong>of</strong> violent crime that discourage cash-based business activity.<br />

Artisanal <strong>fisheries</strong> have never evolved to <strong>the</strong> point at which individual enterprises could amass sufficient wealth or<br />

confidence to achieve technical development by <strong>the</strong>mselves. By <strong>the</strong> same token, <strong>the</strong>y have had little opportunity to<br />

learn or practice <strong>the</strong> fundamentals <strong>of</strong> financial <strong>management</strong> ei<strong>the</strong>r. It is not <strong>the</strong>refore enough to provide new<br />

technologies and support services alone – until at least some artisanal fishing enterprises are assisted to break<br />

through <strong>the</strong> socio-economic barriers that prevent <strong>the</strong>ir growth, <strong>the</strong> vision <strong>of</strong> an upgraded <strong>of</strong>fshore artisanal fishery<br />

will remain unfulfilled.<br />

1 30,000 – 37,500 tonnes @ US$400/tonne.


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The next level up – <strong>the</strong> pair trawl fishery – was essentially a development creation, financed initially under <strong>the</strong><br />

FAO/UNDP Project for <strong>the</strong> Promotion <strong>of</strong> Integrated Fisheries Development (IFDP – 1972-76). The project<br />

identified demersal fish stocks in relatively shallow water that were not targeted by <strong>the</strong> artisanal <strong>fisheries</strong>, and<br />

designed appropriate vessels and gear to catch <strong>the</strong>m. The project went on to support <strong>the</strong> construction <strong>of</strong> Mpwepwe<br />

boatyard and <strong>the</strong> training <strong>of</strong> boatbuilders and fishing crews, and put in place a government-operated loan scheme to<br />

finance <strong>the</strong> new fishery. At <strong>the</strong> time it was held up as an example <strong>of</strong> best practice in <strong>fisheries</strong> development – a<br />

conclusion supported by early successes and rapid loan repayment. With few exceptions <strong>the</strong> pair trawler owners are<br />

not “graduated” artisanal fishermen, but are mostly pr<strong>of</strong>essionals, civil servants or businessmen who had sufficient<br />

personal credibility to attract <strong>the</strong> business loans (initially from government, later from <strong>the</strong> commercial banks) which<br />

<strong>the</strong>se enterprises needed for start-up. The trawler owners do not <strong>the</strong>mselves go fishing, but rely on hired crews<br />

which, although mostly paid on productivity-bonus systems, do not command <strong>the</strong> catch share normally paid to crew<br />

members. Some <strong>of</strong> <strong>the</strong>se businesses have paralleled very closely to <strong>the</strong> tobacco estates established by civil servants<br />

and politicians in <strong>the</strong> 1970s and 1980s, suffering from an extractive <strong>management</strong> style, a lack <strong>of</strong> creativity, minimal<br />

maintenance <strong>of</strong> equipment, a poorly-motivated workforce and almost no reinvestment. They differ from enterprises<br />

<strong>of</strong> similar size in <strong>the</strong> developed world in that businessmen, not fishermen, run <strong>the</strong>m. The only individuals within<br />

<strong>the</strong>se businesses that have <strong>the</strong> personal wealth and confidence to travel and acquire new ideas are not possessed <strong>of</strong><br />

<strong>the</strong> technical background to make use <strong>of</strong> <strong>the</strong>m. In consequence today’s pair trawl units are almost identical to <strong>the</strong><br />

blueprint drawn by <strong>the</strong> IFDP: <strong>the</strong>re has been no technical development within this fishery for almost thirty years.<br />

The current demise <strong>of</strong> <strong>the</strong> pair trawl fleet is a remarkable illustration <strong>of</strong> adherence to <strong>the</strong> blueprint all <strong>of</strong> <strong>the</strong> pair<br />

trawlers were originally fitted with Sabb diesel engines, for which <strong>the</strong> commercial agent in Malawi was <strong>the</strong> Fisheries<br />

Department. When government withdrew from engine and spare part supply in <strong>the</strong> early 1990s, none <strong>of</strong> <strong>the</strong> 15<br />

companies <strong>the</strong>n in operation changed over to engines with local dealer support. As a result, only those with external<br />

connections were able to import spare parts and stay in business: now only 5 companies remain active and mean<br />

annual landings have fallen from 3,000 tonnes to less than 1,000 tonnes (Figure 1). This should be viewed against a<br />

background <strong>of</strong> healthy stocks, a strong market and potentially high pr<strong>of</strong>itability. Where companies have tried to<br />

innovate – for instance in occasional forays into stern trawling – <strong>the</strong>se ventures have mostly failed for purely<br />

technical reasons. Sound technical advice to support <strong>the</strong>se brave attempts has simply not been available.<br />

Annual landings (tonnes) and effort (days)<br />

4,500<br />

4,000<br />

3,500<br />

3,000<br />

2,500<br />

2,000<br />

1,500<br />

1,000<br />

500<br />

0<br />

1976<br />

1978<br />

pair trawl effort<br />

pair trawl catch<br />

pair trawl cpue<br />

1980<br />

1982<br />

1984<br />

1986<br />

1988<br />

Figure 1. The decline <strong>of</strong> <strong>the</strong> pair trawl fishery, 1976-99<br />

The large-scale mechanised fishery – represented in Malawi only by MALDECO – operates on an entirely different<br />

plane and is to a large extent independent <strong>of</strong> external support systems. MALDECO started out in <strong>the</strong> 1950s as<br />

Yiannakis Fisheries Ltd., a private company set up by Greek fishermen skilled in ring netting and trawling. The<br />

1990<br />

1992<br />

1994<br />

1996<br />

1998<br />

1.80<br />

1.60<br />

1.40<br />

1.20<br />

1.00<br />

0.80<br />

0.60<br />

0.40<br />

0.20<br />

0.00<br />

Catch per unit effort (tonnes/day)


47<br />

Lake Malawi Fisheries Management Symposium - Proceedings<br />

company invested in vessels, chilled and frozen storage, ice production and mechanical workshops, and trained a<br />

large locally recruited workforce. It was confiscated by government in <strong>the</strong> early 1970s and operated for many years<br />

as part <strong>of</strong> <strong>the</strong> parastatal Malawi Development Corporation. Although it continued to perform well in public<br />

ownership its pr<strong>of</strong>its were diverted to subsidise less viable enterprises, and necessary reinvestment in capital<br />

equipment was discontinued. After a brief period under <strong>the</strong> <strong>management</strong> <strong>of</strong> ADMARC, ano<strong>the</strong>r parastatal, <strong>the</strong><br />

company was acquired in 1989 by its present owner, <strong>the</strong> Press Corporation, now a public company listed on <strong>the</strong><br />

Malawi Stock Exchange. In <strong>the</strong> 1990s <strong>the</strong> damage done by years <strong>of</strong> neglected investment was restored through a<br />

commercial loan financed (indirectly) by <strong>the</strong> Nordic Development Fund under <strong>the</strong> World Bank led Fisheries<br />

Development Project (1991-2000). The loan provided for <strong>the</strong> supply <strong>of</strong> a new 17m multi-purpose fishing vessel as<br />

well as a range <strong>of</strong> cold storage, ice-making and ancillary equipment. When <strong>the</strong> company last changed hands it was<br />

making a loss, but <strong>the</strong> impact <strong>of</strong> its new investments was quickly felt: a positive pre-tax pr<strong>of</strong>it was achieved in 1995<br />

and modest growth has been sustained since <strong>the</strong>n.<br />

Perhaps more significantly, outside <strong>of</strong> <strong>the</strong> project-led programme <strong>of</strong> capital development and technical assistance,<br />

<strong>the</strong> company began to make technical advances on its own initiative. In 1993-94 it imported two kapenta rigs from<br />

Zimbabwe and adapted <strong>the</strong>m to fish for usipa (Engraulicypris sardella), and in 2000 it acquired a pelagic trawler<br />

specifically to fish for Diplotaxodon and Rhamphochromis. Although small in <strong>the</strong>mselves <strong>the</strong>se are <strong>the</strong> first<br />

examples <strong>of</strong> a locally owned company importing technology from <strong>the</strong> international arena: <strong>the</strong>y are <strong>the</strong> start <strong>of</strong><br />

industry-led development.<br />

Support industries and services<br />

In order to function at all, fishing industries need a diverse range <strong>of</strong> subsidiary support trades and services, including<br />

boatbuilding and repair, gear supply, harbours and roads, ice and fuel. The current status <strong>of</strong> <strong>the</strong>se support trades and<br />

services in Malawi leaves a great deal to be desired:<br />

Fishing gear supply and technology development<br />

Multifilament nylon netting <strong>of</strong> indifferent quality is manufactured in Malawi by <strong>the</strong> Blantyre Netting Company Ltd.<br />

(BNC) on ra<strong>the</strong>r old Japanese machines from twine spun on site from imported yarn. In recent years this has not<br />

been a very pr<strong>of</strong>itable business, and <strong>the</strong>re has been some uncertainty as to whe<strong>the</strong>r BNC (whose main business is<br />

now <strong>the</strong> manufacture <strong>of</strong> polypropylene sacks) would continue it. BNC’s nets and twines are distributed through a<br />

limited network <strong>of</strong> company outlets on <strong>the</strong> <strong>lake</strong>shore, and a small range <strong>of</strong> products is also held by a number <strong>of</strong> retail<br />

shops. Annual domestic sales have fallen steadily from 80-100 tonnes in <strong>the</strong> 1980s to only 50 tonnes in 1999. This is<br />

a remarkable statistic given that <strong>the</strong> number <strong>of</strong> fishing craft has increased by 90% over <strong>the</strong> same period, although <strong>the</strong><br />

volume <strong>of</strong> illegal imports <strong>of</strong> sheet netting from Tanzania and Mozambique is not known. Around half <strong>of</strong> BNC’s<br />

annual sales are bulk twine from which fishermen braid <strong>the</strong>ir own nets: a sure measure <strong>of</strong> low returns from <strong>the</strong><br />

artisanal <strong>fisheries</strong>. BNC also manufactures split-film polypropylene ropes, and imported polyethylene ropes are<br />

available from many retailers.<br />

During <strong>the</strong> 1980s <strong>the</strong> Fisheries Department was a major retail distributor <strong>of</strong> BNC’s products, with most District<br />

Fisheries Offices holding a wide range <strong>of</strong> stock purchased through <strong>the</strong> (government-owned) Mpwepwe Boatyard<br />

Treasury Fund. The legality <strong>of</strong> this business was questionable, since <strong>the</strong> gear was purchased from BNC on a surtaxfree<br />

basis “for research purposes”, enabling <strong>the</strong> Department to retail at <strong>the</strong> BNC wholesale price and still retain a<br />

substantial pr<strong>of</strong>it. Although this pr<strong>of</strong>it was used to <strong>the</strong> industry’s benefit (by subsidising <strong>the</strong> price <strong>of</strong> fishing boats)<br />

<strong>the</strong>re can be no doubt that this was a somewhat shady enterprise, and was viewed as a block to private sector<br />

participation in fishing gear retailing. Not surprisingly, <strong>the</strong> World Bank made <strong>the</strong> termination <strong>of</strong> government’s<br />

involvement in gear sales a condition <strong>of</strong> <strong>the</strong> IDA Fisheries Development Project loan agreement signed in 1991. In<br />

practice, fishing gear retailing is a risky and unpr<strong>of</strong>itable business, and only really works if <strong>the</strong> margins are quite<br />

high (say, 50%). BNC’s recommended retail margin is 13%, and a pricing structure that has always been – to some<br />

extent – un<strong>of</strong>ficially enforced (and is now reinforced by BNC’s increased participation in <strong>the</strong> retail market) has<br />

always inhibited <strong>the</strong> fishing gear trade – that is why <strong>the</strong> Fisheries Department became involved in <strong>the</strong> first place.<br />

Distribution problems aside, <strong>the</strong> range <strong>of</strong> fishing gear available to <strong>the</strong> industry must be considered extremely<br />

limited, and has barely changed in 30 years: almost no new materials have been provided, or new technologies<br />

extended. The fact that <strong>the</strong> artisanal fishery has expanded in this inefficient form poses ano<strong>the</strong>r kind <strong>of</strong> development<br />

problem. If new materials – for instance, mon<strong>of</strong>ilament gill nets – were to be made instantly available at an<br />

affordable price, <strong>the</strong> impact on catching power would be dramatic, with potentially disastrous consequences for


48<br />

Lake Malawi Fisheries Management Symposium - Proceedings<br />

inshore stocks. Opening up Malawi’s <strong>fisheries</strong> to international influences will have to be managed extremely<br />

carefully if it is not to create more problems than it solves.<br />

Boatbuilding<br />

Dugout canoes are constructed by village canoe-builders around <strong>the</strong> shores <strong>of</strong> Lake Malawi. Although <strong>the</strong> number <strong>of</strong><br />

canoes operating in Lakes Malawi and Malombe has increased from 6,200 in 1985 to almost 9,000 in 1999, <strong>the</strong>ir<br />

size has progressively diminished with <strong>the</strong> increasing scarcity <strong>of</strong> large trees, and <strong>the</strong>ir mean lifespan has declined as<br />

<strong>the</strong> use <strong>of</strong> rot-prone exotic timbers has overtaken <strong>the</strong> use <strong>of</strong> indigenous hardwoods. Dugouts are inexpensive but<br />

wasteful <strong>of</strong> wood and, in <strong>the</strong>ir present form, unsuitable for work beyond <strong>the</strong> near-shore zone. In Botswana about half<br />

<strong>of</strong> <strong>the</strong> traditional Pterocarpus dugouts (mokoros) <strong>of</strong> <strong>the</strong> Okavango delta have been successfully replaced by GRP<br />

canoes <strong>of</strong> similar design. It took five prototypes before <strong>the</strong> GRP design was accepted by <strong>the</strong> Okavango fishermen,<br />

after which demand quickly outstripped supply. A first prototype GRP canoe has been tested in Malawi. It was not<br />

“right” but fishermen are willing to work with <strong>the</strong> designer to improve it. This may be a way at least to replicate <strong>the</strong><br />

large canoes <strong>of</strong> former years and extend fishing range at <strong>the</strong> lower end <strong>of</strong> <strong>the</strong> technology/cost spectrum.<br />

Village carpenters in Mangochi District have built flat-bottomed planked boats up to about 6m since at least <strong>the</strong><br />

early 1970s. These craft are unsuitable for open-water fishing, and have a disturbing tendency to fall apart in rough<br />

seas. Altoge<strong>the</strong>r more than 3,000 planked boats are currently in use on Lakes Malawi and Malombe, <strong>of</strong> which less<br />

than one fifth are powered by small outboards. A significant (but unknown) number <strong>of</strong> <strong>the</strong>se are strong V-bottom<br />

craft built by established boatyards at Salima and Mpwepwe.<br />

Salima Boatyard was established by a British boatbuilder as a private business in <strong>the</strong> early 1970s. The yard produced<br />

V-bottom planked boats to 6m for <strong>the</strong> artisanal <strong>fisheries</strong>, and a few carvel-planked round bilge sailing vessels. When<br />

<strong>the</strong> owner left Malawi in 1977 <strong>the</strong> Fisheries Department acquired <strong>the</strong> yard (in <strong>the</strong> absence <strong>of</strong> a private buyer) and<br />

over <strong>the</strong> next decade expanded and improved its production. These boats became very popular with fishermen, but<br />

production levels declined during <strong>the</strong> late 1980s to 20-30 per year, and <strong>the</strong> yard had a long backlog <strong>of</strong> orders.<br />

Although <strong>the</strong> sale price did not truly reflect production costs it is notable that fishermen purchased <strong>the</strong>se boats<br />

without <strong>the</strong> need for credit. Salima Boatyard was closed in 1993 in accordance with <strong>the</strong> conditions <strong>of</strong> <strong>the</strong> IDA loan<br />

that financed <strong>the</strong> Fisheries Development Project (1991-2000), but no attempt was made to privatise <strong>the</strong> yard. The<br />

skilled workforce was dismissed, and some months later <strong>the</strong> tools and equipment were auctioned to local joinery<br />

firms, while <strong>the</strong> Fisheries Department retained <strong>the</strong> site.<br />

Several former Salima boatyard employees continue to make boats to an acceptable standard and to <strong>the</strong> popular<br />

designs developed by <strong>the</strong> Fisheries Department. However, <strong>the</strong>y operate as small village businesses with very limited<br />

capital, and since <strong>the</strong>y are unable to access o<strong>the</strong>r than locally available materials <strong>the</strong>ir products have a short working<br />

life.<br />

Mpwepwe Boatyard, in Mangochi District, was a larger establishment whose main line <strong>of</strong> construction was a 7.5m<br />

V-bottom boat powered by a 30hp inboard diesel engine, <strong>the</strong> workhorse <strong>of</strong> <strong>the</strong> pair trawl fleet. By <strong>the</strong> late 1980s<br />

maintenance <strong>of</strong> <strong>the</strong> existing trawl fleet, plus vessels used in non-fishing roles, was estimated to require <strong>the</strong><br />

construction <strong>of</strong> six new vessels annually, as well as running repairs. But output had fallen to a very low level – one<br />

or two boats per year – and <strong>the</strong> yard was in debt and in urgent need <strong>of</strong> rehabilitation and new equipment. The<br />

redevelopment <strong>of</strong> Mpwepwe was <strong>the</strong>refore included as a priority sub-component <strong>of</strong> <strong>the</strong> Fisheries Development<br />

Project.<br />

At <strong>the</strong> time this project was prepared <strong>the</strong> prospects for privatisation appeared remote: it was <strong>the</strong>refore intended to<br />

rehabilitate <strong>the</strong> yard and to run it on lines as close to commercial as possible within <strong>the</strong> confines <strong>of</strong> government<br />

accounting and service limitations. Design studies were commissioned, and <strong>the</strong> boatyard staff reduced to a bare<br />

minimum in order to minimise losses during <strong>the</strong> reconstruction period. Stringency measures at this time included<br />

suspension <strong>of</strong> <strong>the</strong> import <strong>of</strong> marine engines and spare parts on which <strong>the</strong> pair trawlers depended. But by 1993<br />

several entrepreneurs had expressed interest in <strong>the</strong> acquisition <strong>of</strong> <strong>the</strong> boatyard. Privatisation appeared for <strong>the</strong> first<br />

time to be a real possibility, and <strong>the</strong> rehabilitation was deferred - it was considered more appropriate to make<br />

available to <strong>the</strong> new owner, on a loan basis, those funds which had been reserved for redevelopment. The<br />

privatisation <strong>of</strong> Mpwepwe took almost six years, and was not completed until May 1999. The option selected by <strong>the</strong><br />

Privatisation Commission was a <strong>management</strong> buy-out and <strong>the</strong> yard was sold to <strong>the</strong> Mpwepwe Boatyard Company<br />

Ltd., comprising <strong>of</strong> staff previously employed by <strong>the</strong> Fisheries Department. However, by <strong>the</strong> time <strong>the</strong> transfer <strong>of</strong><br />

ownership took place <strong>the</strong> yard was little more than a shell, its new owners inexperienced in business and potentially


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crippled by inherited debts. ICEIDA made a small grant available to buy minor tools, but <strong>the</strong>re was insufficient time<br />

to arrange <strong>the</strong> proposed subsidiary loan prior to project closedown. Even though <strong>the</strong> yard is now in private<br />

ownership <strong>the</strong> new company has no working capital, almost no stock <strong>of</strong> raw materials, and very possibly a large<br />

debt. It stands little prospect <strong>of</strong> growth – perhaps even survival – without swift external intervention.<br />

The reduced availability <strong>of</strong> seaworthy boats to <strong>the</strong> artisanal fishery (and here it is necessary to distinguish between<br />

V-bottom boats built by <strong>the</strong> Salima and Mpwepwe yards and inferior flat-bottomed craft made by untrained<br />

boatbuilders) has contributed to <strong>the</strong> concentration <strong>of</strong> fishing effort in <strong>the</strong> inshore zone, to increasing poverty in <strong>the</strong><br />

artisanal fishing communities and ultimately to <strong>the</strong> resource <strong>management</strong> problems which <strong>the</strong> Fisheries Department<br />

now has to face. The mechanised fishery has been more visibly affected. The pair trawl fleet was in a poor state<br />

when <strong>the</strong> project started, but after a decade without replacement engines or spare parts only 5 <strong>of</strong> <strong>the</strong> 15 units<br />

operational in 1990 remain in business today.<br />

Ice supply<br />

During <strong>the</strong> 1980s f<strong>lake</strong> ice was supplied to fish traders by <strong>the</strong> Fisheries Department, from ice plants at Namiasi,<br />

Salima and Nkhotakota, and by MALDECO. The Namiasi plant became unserviceable in <strong>the</strong> late 1980s and was not<br />

replaced because a private f<strong>lake</strong>-ice venture had opened in Mangochi. In 1993 <strong>the</strong> Salima fish handling depot (which<br />

provided fish washing and weighing facilities in addition to ice) was closed in accordance with <strong>the</strong> IDA loan<br />

conditions, and <strong>the</strong> machinery auctioned and later removed by <strong>the</strong> new owner to Blantyre. The small Fisheries<br />

Department ice plant at Nkhotakota was also taken out <strong>of</strong> service at this time.<br />

The current situation is that private plants at MALDECO and Mangochi continue to function, and a new enterprise<br />

produces small quantities <strong>of</strong> block ice at Salima. O<strong>the</strong>rwise, traders from Blantyre and Lilongwe purchase block ice<br />

from <strong>the</strong> Cold Storage Company Ltd. depots in those cities. A substantial – but unquantified – unsatisfied demand<br />

for ice is believed to exist.<br />

Harbours and roads<br />

Harbours are not used or currently needed in <strong>the</strong> artisanal <strong>fisheries</strong>, which use beach-landing boats and canoes.<br />

Similarly, beach access roads are not <strong>of</strong> great importance where <strong>the</strong> main means <strong>of</strong> transport between <strong>the</strong> beach and<br />

<strong>the</strong> nearest public transport route is <strong>the</strong> bicycle. Some major beach landings do attract vehicles, however, and<br />

anecdotal evidence suggests that landings are becoming increasingly aggregated, i.e. that increasing volumes <strong>of</strong> fish<br />

are being landed at a diminishing number <strong>of</strong> sites. This would point towards <strong>the</strong> need for road construction at<br />

carefully selected locations. The EU-funded Central Lake Fisheries Development Project (1980-85) constructed a<br />

number <strong>of</strong> beach access roads in Salima and Dedza Districts – <strong>the</strong>se had <strong>the</strong> strongly beneficial effect <strong>of</strong><br />

concentrating landings, processing and trading activity.<br />

Harbours are a great advantage to <strong>the</strong> pair trawl fleet, although with some ingenuity <strong>the</strong> boats may be operated from<br />

a simple beach site. The principal advantage <strong>of</strong> landing onto a jetty is that <strong>the</strong> catch may be discharged quickly, an<br />

important factor in reducing spoilage. The o<strong>the</strong>r main function <strong>of</strong> a harbour – shelter from rough <strong>lake</strong> conditions – is<br />

in practice very difficult to achieve in Malawi. There are few natural harbours, and medium-term variations in <strong>lake</strong><br />

level make investments in traditional permanent harbour facilities extremely risky. The Fisheries Department<br />

constructed trawler landings with jetties in Lifuwu, Salima; Malembo, in <strong>the</strong> South West Arm, and Namiasi, in <strong>the</strong><br />

South East Arm. Salima is no longer considered an inshore trawling ground, and <strong>the</strong> o<strong>the</strong>r two landings are in a very<br />

poor condition. Maldeco Fisheries Ltd. has constructed its own jetty and onshore infrastructure in Mangochi<br />

District.<br />

Development and how to achieve it<br />

Fisheries development is <strong>the</strong> growth and technical advancement <strong>of</strong> <strong>the</strong> fishery sector. Initially this process aims<br />

towards a condition in which all known fishing opportunities are fully exploited and <strong>the</strong> contribution <strong>of</strong> <strong>the</strong> fishing<br />

industry to <strong>the</strong> national economy maximised. Subsequent development tends towards greater catching efficiency and<br />

increased value-added through processing. In <strong>the</strong> more advanced fishing nations <strong>fisheries</strong> development is led by <strong>the</strong><br />

industry. Even in <strong>the</strong>se countries <strong>the</strong> government usually has a development role, and will undertake costly<br />

technological research and provide o<strong>the</strong>r services to <strong>the</strong> industry where <strong>the</strong>se are not attractive to <strong>the</strong> private sector<br />

(e.g. <strong>the</strong> construction <strong>of</strong> harbours). In developing countries <strong>the</strong> role <strong>of</strong> <strong>the</strong> state tends to be more prominent, and has<br />

<strong>of</strong>ten included <strong>the</strong> introduction <strong>of</strong> new capture and catch handling technologies and <strong>the</strong> mechanisation <strong>of</strong> artisanal<br />

<strong>fisheries</strong>. As we have seen, <strong>fisheries</strong> development in Malawi appears not to be occurring by itself, and this implies a<br />

major role for <strong>the</strong> government in bringing it about.


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Where development is to be promoted by government and financed by external donors, <strong>the</strong> approach, nature and<br />

extent <strong>of</strong> development programmes will be heavily influenced by prevailing development styles, which are subject<br />

to periodic change. Development thinking during <strong>the</strong> 1970s and 1980s appears now to have been decidedly<br />

paternalistic, and tended to ignore indigenous knowledge and capacity and impose alien technologies that quite <strong>of</strong>ten<br />

failed. Currently, <strong>the</strong> development philosophy <strong>of</strong> many donors and international lending institutions draws heavily<br />

on <strong>the</strong> principles <strong>of</strong> market economics. The state is encouraged to provide a liberal and enabling policy environment,<br />

within which <strong>the</strong> private sector is expected to provide productivity and growth. In <strong>the</strong> productive sectors <strong>the</strong> role <strong>of</strong><br />

<strong>the</strong> state is expected to shrink, shedding <strong>the</strong> more recognisable development functions and focusing on research,<br />

policy formulation and regulation. This new perspective quite properly accords more respect to <strong>the</strong> ability <strong>of</strong> <strong>the</strong><br />

target population, but it also makes a ra<strong>the</strong>r risky assumption – that its members will react and respond to new<br />

economic opportunities in <strong>the</strong> same way as <strong>the</strong>ir entrepreneur counterparts in <strong>the</strong> developed capitalist economies.<br />

There is ample evidence to show that in Malawi, and especially in <strong>the</strong> <strong>fisheries</strong> sector, this assumption is erroneous –<br />

<strong>the</strong> pendulum has swung too far. The private sector is small, and <strong>the</strong> relatively technology-intensive fishing industry<br />

and its associated trades have to compete with far more attractive business propositions, notably in crop trading and<br />

transport. There is no better demonstration <strong>of</strong> this than <strong>the</strong> enforced withdrawal <strong>of</strong> <strong>the</strong> Fisheries Department from<br />

<strong>the</strong> provision <strong>of</strong> industry support services in <strong>the</strong> early 1990s. Locally <strong>the</strong> disastrous results <strong>of</strong> this intervention are<br />

well known, and are documented in <strong>the</strong> Fisheries Development Project Implementation Completion Report (World<br />

Bank, 2000). But <strong>the</strong> government is now left in a quandary – should it go back to begin rebuilding <strong>the</strong> services that<br />

were dismantled, or should it be looking for some alternative means <strong>of</strong> promoting <strong>fisheries</strong> development?<br />

It is worth considering how <strong>the</strong> developed nations deal with <strong>the</strong> question <strong>of</strong> state support to fishing industries. It<br />

might be expected that, if it is in some sense inappropriate for <strong>the</strong> Government <strong>of</strong> Malawi to provide fishery<br />

services, <strong>the</strong>n <strong>the</strong>y must be entirely absent from those states with large, modern fishing fleets and advanced<br />

economies. But this is not <strong>the</strong> case. In almost all developed fishing nations <strong>the</strong> government invests in fishing<br />

harbours and associated infrastructure. In addition:<br />

In <strong>the</strong> states <strong>of</strong> <strong>the</strong> European Union (EU), grants are available to individual businesses for new or experimental<br />

fishing ventures and for fish processing facilities. All European states waive duty and taxes on fuel sold to <strong>the</strong><br />

fishing industry.<br />

• In <strong>the</strong> United Kingdom, many local government authorities operate ice plants and supply fuel to fishing<br />

vessels. The central government operates a decommissioning grant scheme to buy out excess fishing<br />

capacity from <strong>the</strong> industry.<br />

• The Republic <strong>of</strong> Ireland, which does not have an over-capacity problem, provides grants (<strong>of</strong> around 30%)<br />

towards <strong>the</strong> construction <strong>of</strong> new fishing craft. Here, central government operates a national network <strong>of</strong> ice<br />

plants, some <strong>of</strong> which are leased out to private operators. The government also provides grant support to<br />

exploratory fishing.<br />

• In <strong>the</strong> United States federal support to <strong>fisheries</strong> is provided through nearly thirty different grant and loan<br />

schemes providing for fleet renewal, fish processing, research and <strong>management</strong> (including buy-back and<br />

decommissioning). Many o<strong>the</strong>r regional and state-level support mechanisms complement <strong>the</strong> federal<br />

services.<br />

Malawi has been <strong>the</strong> subject <strong>of</strong> an experiment in economic purism that is not matched by practice in <strong>the</strong> outside<br />

world. Elsewhere, fishing industries tend to comprise a patchwork <strong>of</strong> private sector and state-led elements, and it is<br />

considered normal for governments to intervene in areas unattractive to <strong>the</strong> private sector and to use direct cash<br />

transfers and subsidies, both as instruments <strong>of</strong> development (fleet renewal, new technology) and <strong>management</strong><br />

(decommissioning and buy-back). Given <strong>the</strong> small size <strong>of</strong> Malawi’s private sector and <strong>the</strong> dominance <strong>of</strong> trade as a<br />

business activity, it would appear that <strong>the</strong> entry <strong>of</strong> entrepreneurs into <strong>fisheries</strong> ancillary trades will be extremely<br />

slow. The government is now faced, <strong>the</strong>refore, with <strong>the</strong> need to rebuild and expand upon its former services network<br />

if <strong>the</strong> production opportunities so clearly identified are to be exploited within <strong>the</strong> foreseeable future. This process <strong>of</strong><br />

reconstruction may be a painful one, but it will afford <strong>the</strong> opportunity to plan a development strategy with more<br />

thoroughness than has previously been <strong>the</strong> case. It is suggested that <strong>the</strong> strategy should be based on three essential<br />

<strong>the</strong>mes – technology development, industrial development and fishery services:


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Technology development<br />

Of <strong>the</strong> eight fishing opportunities listed in <strong>the</strong> second part <strong>of</strong> this paper, three require <strong>the</strong> development and<br />

evaluation <strong>of</strong> new technologies (artisanal <strong>fisheries</strong> for small demersal cichlids, both deep and shallow, and artisanal<br />

<strong>fisheries</strong> for <strong>of</strong>fshore pelagics) and two require <strong>the</strong> improvement <strong>of</strong> fishing methods already in use (pair trawling,<br />

pelagic trawling). Tasks <strong>of</strong> this kind have always been seen as a proper function <strong>of</strong> government, and it is to be<br />

expected that <strong>the</strong> Fisheries Department would commission <strong>the</strong> necessary work through an externally financed<br />

technical assistance programme.<br />

Industrial development<br />

This term is used in order to encourage a perception <strong>of</strong> <strong>the</strong> fishing industry as something much more than a<br />

collection <strong>of</strong> individuals who fish for a living, or technologies that impact on resources. It will be necessary to learn<br />

much more than we now know about <strong>the</strong> workforce, about financial and information flows and about business<br />

strategies and how <strong>the</strong>y may be supported to encourage sustained growth. Three targets for action are:<br />

• Breaking <strong>the</strong> barriers to growth. The first requirement here is to clarify through appropriate studies exactly<br />

what are <strong>the</strong> constraints to enterprise growth, particularly in <strong>the</strong> artisanal <strong>fisheries</strong>. If, as has been suggested<br />

here, <strong>the</strong>y are linked to an inability to isolate business finances from <strong>the</strong> demands <strong>of</strong> <strong>the</strong> extended family,<br />

<strong>the</strong>n a carefully administered savings and loan scheme might provide a way forward. Whatever <strong>the</strong><br />

determined constraint or proposed solution, it should not be expected that more than a minority will be<br />

ready or able to make <strong>the</strong> necessary changes in <strong>the</strong> short term. For some purposes it may be necessary to<br />

work selectively with <strong>the</strong> most progressive elements <strong>of</strong> fishing communities, however much this may go<br />

against egalitarian principles.<br />

• Improving <strong>the</strong> structure <strong>of</strong> <strong>the</strong> industry. The most expensive artisanal fishing unit – an outboard-powered<br />

chilimira unit – requires a capital outlay <strong>of</strong> around US$5,000. A pair trawl unit, plus second-hand pickup<br />

truck and ancillary equipment, costs US$45-50,000. A hypo<strong>the</strong>tical large-scale fishing venture, based on a<br />

single 17m trawler plus necessary onshore infrastructure, would require an investment <strong>of</strong> US$1 million<br />

upwards. The gaps between <strong>the</strong>se levels <strong>of</strong> investment (an order <strong>of</strong> magnitude or more) are so large that no<br />

individual can aspire to <strong>the</strong> level above without massive outside assistance. When exploring new<br />

technologies to harvest underexploited resources in Lake Malawi, thought should be given to creating<br />

business niches at scales intermediate to <strong>the</strong> existing three levels, so as to make graduation from one level<br />

to <strong>the</strong> next easier to achieve. For <strong>the</strong> same reason, it is also essential to reverse <strong>the</strong> recent decline in <strong>the</strong> pair<br />

trawl fishery.<br />

• Management <strong>of</strong> information. It is necessary to promote an inflow <strong>of</strong> information on fishing and fish<br />

handling technology from international sources, and to ensure that such information is (a) delivered<br />

effectively to <strong>the</strong> fishing industry, and (b) is matched by <strong>the</strong> availability <strong>of</strong> materials and services where it<br />

results in local demand. Although gear technologists may be recruited through a project-type technical<br />

assistance programme, <strong>the</strong> best source <strong>of</strong> expertise is successful fishermen from o<strong>the</strong>r countries. These are<br />

both difficult and expensive to recruit, for obvious reasons. Three different routes to linking Malawian with<br />

successful foreign fishermen might be feasible: (a) creating an advisory unit staffed by volunteers who are<br />

recently retired and carefully selected fishermen; (b) seconding small numbers <strong>of</strong> Malawian fishermen to<br />

appropriate fishing businesses overseas, and (c) – although this is not without risk – establishing one or<br />

more joint venture fishing operations.<br />

Fishery services<br />

The following service and ancillary trades are legitimate targets for government support or direct intervention,<br />

remembering always that private sector participation in <strong>the</strong>se activities will be retained as a development goal:<br />

• Fishing gear supply. BNC should not be exposed to competition from government, but it may be useful for<br />

<strong>the</strong> government to encourage BNC or ano<strong>the</strong>r supplier (by underwriting <strong>the</strong> commercial risk involved) to<br />

import technically desirable but non-traditional fishing materials. Renewed investigation <strong>of</strong> price structures<br />

might result in recommendations that would increase <strong>the</strong> attractiveness <strong>of</strong> fishing gear retailing and enable<br />

BNC to focus on production/import.<br />

• Boatbuilding. Every effort should be made to support <strong>the</strong> Mpwepwe Boatyard. But boatbuilding capacity<br />

needs to expand faster than Mpwepwe will be able to, even under <strong>the</strong> most favourable circumstances.<br />

Development options could include a design development project, pump-priming operations to support <strong>the</strong>


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construction <strong>of</strong> steel boats by existing general fabrication companies, an Okavango-style GRP canoe<br />

experiment, and/or ano<strong>the</strong>r government boatyard in <strong>the</strong> Central or Nor<strong>the</strong>rn Region.<br />

• Ice supply. It is highly desirable to increase <strong>the</strong> availability <strong>of</strong> ice through a planned network <strong>of</strong> ice<br />

production and sales points that takes into account possible changes in <strong>the</strong> distribution <strong>of</strong> fish landings. The<br />

network could be designed and installed by <strong>the</strong> Fisheries Department but ultimately handed over to District<br />

Assemblies, and <strong>the</strong> possibility <strong>of</strong> leasing ice-making facilities to entrepreneurs might be a useful first step<br />

towards ultimate privatisation. The availability <strong>of</strong> ice may be essential to achieving <strong>the</strong> full financial<br />

potential <strong>of</strong> proposed <strong>of</strong>fshore <strong>fisheries</strong>.<br />

• Fisheries infrastructure. Existing trawler landings at Malembo and Namiasi should be rebuilt, and <strong>the</strong> need<br />

for additional sites investigated. This might include public investment in onshore infrastructure to support<br />

mechanised deep-water or pelagic operations in <strong>the</strong> centre or north <strong>of</strong> Lake Malawi. The need for access<br />

roads to major artisanal landings should be investigated with a view to proposing construction projects to<br />

<strong>the</strong> Malawi Social Action Fund.<br />

• Information and advisory services. The use <strong>of</strong> experienced volunteers has been discussed above. It may be<br />

feasible to reserve (development) funds to pay for specialist technical and financial advisory services as<br />

required by <strong>the</strong> growing mechanised <strong>fisheries</strong> – what must be avoided at all costs is <strong>the</strong> wasting <strong>of</strong> hardwon<br />

investment capital through bad technical decisions.<br />

• Financial services. This is a sensitive but important subject that deserves focused attention. The<br />

government may wish to support or encourage particular types <strong>of</strong> fishing enterprise by making available<br />

grants or subsidised loans. This would not risk distorting Malawi’s financial services sector, since <strong>the</strong><br />

commercial banks have made no investments in <strong>the</strong> fishing industry for some years; even so, business<br />

development grants may be <strong>the</strong> preferred option. It should be noted that <strong>the</strong> high local currency interest<br />

rates for commercial borrowing look less frightening when viewed in hard currency terms: <strong>the</strong><br />

identification <strong>of</strong> export markets for some part <strong>of</strong> <strong>the</strong> catch would make commercial borrowing an easier pill<br />

to swallow. The government may also wish to make grant funding available for <strong>management</strong> purposes, for<br />

instance for fishing gear buy-back schemes.<br />

Development, <strong>management</strong> and risk<br />

Fisheries <strong>management</strong> is <strong>the</strong> control <strong>of</strong> fishing industries – usually by governments or, in <strong>the</strong> case <strong>of</strong> shared stocks,<br />

by an agency representing more than one government – with <strong>the</strong> primary objective <strong>of</strong> ensuring that harvesting<br />

remains within biological limits and that <strong>the</strong> sustainability <strong>of</strong> <strong>the</strong> resource base is maintained. In practice,<br />

<strong>management</strong> objectives are usually more sophisticated than simply maximising sustainable yields, and it is normal<br />

to aim for maximum economic return, or maximum employment, or some combination <strong>of</strong> <strong>the</strong> two. Development and<br />

<strong>management</strong> tend to work in opposite directions, one promoting and <strong>the</strong> o<strong>the</strong>r restraining, but <strong>the</strong>y are not opposites:<br />

a highly managed fishery is not <strong>the</strong> same as an undeveloped fishery. The most advanced <strong>fisheries</strong> combine a high<br />

level <strong>of</strong> technical development with an intensive <strong>management</strong> regime. Worldwide, as fish resources have come<br />

under increasing pressure and new fishing opportunities have become increasingly scarce, <strong>the</strong> emphasis has shifted<br />

from <strong>fisheries</strong> development to <strong>fisheries</strong> <strong>management</strong>. There is a simple principle here: <strong>the</strong> more developed <strong>the</strong><br />

fishery, <strong>the</strong> higher <strong>the</strong> risk <strong>of</strong> resource collapse through over-exploitation and hence <strong>the</strong> more important <strong>the</strong> pr<strong>of</strong>ile<br />

and effectiveness <strong>of</strong> <strong>fisheries</strong> <strong>management</strong>.<br />

In Malawi <strong>the</strong>re has been more than one instance <strong>of</strong> “managing by not developing”, i.e. deferring development<br />

because it was feared that government capacity would be insufficient to manage <strong>the</strong> resulting increase in fishing<br />

power. This has applied for many years to <strong>the</strong> reluctance to exposing artisanal fishermen to mon<strong>of</strong>ilament gill nets,<br />

and it was also used as <strong>the</strong> rationale for postponing investments in <strong>the</strong> pair trawl fleet during <strong>the</strong> course <strong>of</strong> <strong>the</strong> recent<br />

IDA-funded Fisheries Development Project. Lack <strong>of</strong> <strong>management</strong> capacity may <strong>the</strong>refore be a fur<strong>the</strong>r and unwanted<br />

brake on <strong>the</strong> pace <strong>of</strong> <strong>fisheries</strong> development.<br />

Participatory Fisheries Management<br />

To a large extent fish are resources <strong>of</strong> an open-access nature, regardless <strong>of</strong> <strong>management</strong> or resource tenure regime.<br />

This is due to <strong>the</strong> sometimes-extreme mobility <strong>of</strong> fish populations, so that resource tenure can never be pinned down<br />

to <strong>the</strong> extent possible with land or trees. Even in situations <strong>of</strong> closed entry, each fisherman is aware that personal<br />

restraint means personal disadvantage, however much it may benefit <strong>the</strong> fishery. For this reason <strong>fisheries</strong> are always


53<br />

Lake Malawi Fisheries Management Symposium - Proceedings<br />

difficult to manage, and successful <strong>management</strong> regimes are few. Malawi’s approach to inshore artisanal fishery<br />

<strong>management</strong> is to maximise local ownership by transferring use rights and control <strong>of</strong> access to local <strong>fisheries</strong><br />

institutions, on <strong>the</strong> basis <strong>of</strong> mutually agreed <strong>management</strong> plans. There are two reasons for believing this is <strong>the</strong> right<br />

course <strong>of</strong> action:<br />

• It would appear that a majority <strong>of</strong> artisanal fishermen support <strong>the</strong> principle <strong>of</strong> co-<strong>management</strong>, even in<br />

areas where <strong>the</strong>re has been limited extension and no training. The publicity emanating from <strong>the</strong> former<br />

Malawi-German Fisheries and Aquaculture (MAGFAD) Project (now <strong>the</strong> National Aquatic Resources<br />

Management Project) has caught <strong>the</strong> imaginations <strong>of</strong> fishing communities from all corners <strong>of</strong> Malawi, and<br />

demand for extension support now outstrips system capacity.<br />

• Early indications are that inshore demersal stocks may be highly genetically differentiated (Duponchelle<br />

and Ribbink, 2000), suggesting that physical movements are restricted and that local-level <strong>fisheries</strong><br />

<strong>management</strong> in Lake Malawi may have a biological validity previously unsuspected. Genetic research into<br />

demersal stocks is currently very limited, and fur<strong>the</strong>r studies should be framed with <strong>the</strong> objective <strong>of</strong><br />

identifying unit stocks for <strong>the</strong> main commercial species groups.<br />

There is however an attendant risk, and that is that over <strong>the</strong> short to medium term a lack <strong>of</strong> tangible improvements in<br />

fishery production and incomes could bring about a reaction or backlash against <strong>the</strong> new <strong>management</strong> regime. Part<br />

<strong>of</strong> <strong>the</strong> problem is that in <strong>the</strong>ir eagerness to improve <strong>the</strong>ir lot (and <strong>the</strong> status <strong>of</strong> <strong>the</strong>ir fish resources), some<br />

communities are inflicting considerable hardship on <strong>the</strong>mselves by <strong>the</strong> imposition <strong>of</strong> extremely strict <strong>management</strong><br />

regimes. These communities are unlikely to be able to maintain <strong>the</strong>ir commitment to co-<strong>management</strong> unless <strong>the</strong>ir<br />

personal sacrifices result in a swift improvement in incomes – an outcome that, given <strong>the</strong> nature <strong>of</strong> environmental<br />

<strong>management</strong>, is unlikely. A second part <strong>of</strong> <strong>the</strong> problem, and one that compounds <strong>the</strong> first, is that until new entry into<br />

<strong>the</strong> fishery is controlled, expansion <strong>of</strong> fishing effort will simply mop up all <strong>the</strong> benefits that would have accrued as a<br />

result <strong>of</strong> active co-<strong>management</strong>.<br />

There may be potential to take co-<strong>management</strong> into some constructive new directions. Until now it has been seen as<br />

a mechanism for implementing more or less traditional fishery <strong>management</strong> measures – mesh size restrictions, close<br />

seasons, etc. But it may be possible for <strong>the</strong> Fisheries Department to work with local fishery managers to develop a<br />

<strong>management</strong> vision that takes into account <strong>the</strong> wider impacts <strong>of</strong> fishing on near-shore ecology. Future <strong>management</strong><br />

prescriptions might include closed or restricted-fishery areas, <strong>the</strong> phasing-out or reduction <strong>of</strong> harmful gears (possibly<br />

with grant support) and <strong>the</strong> closure <strong>of</strong> <strong>fisheries</strong> to new entrants.<br />

New <strong>fisheries</strong> and <strong>the</strong> <strong>management</strong> <strong>of</strong> interactions<br />

Development <strong>of</strong> <strong>the</strong> fishing industry will need to contend with two opposing forces. The opportunities for<br />

incremental production lie mostly <strong>of</strong>fshore and in deeper waters. Yet <strong>the</strong> intrinsic productivity <strong>of</strong> Lake Malawi and<br />

<strong>the</strong> unit value <strong>of</strong> <strong>the</strong> catch both increase inshore, and in shallower waters. There will <strong>the</strong>refore be a general pr<strong>of</strong>itdriven<br />

pressure shorewards, which must be strongly resisted in order to avoid damage to inshore resources and <strong>the</strong><br />

existing <strong>fisheries</strong> that depend upon <strong>the</strong>m. This is most obvious in <strong>the</strong> case <strong>of</strong> large-scale mechanised fishing, where<br />

<strong>the</strong> towing power needed for deep demersal or pelagic trawling could be devastating in <strong>the</strong> shallows, but it applies<br />

equally to <strong>the</strong> artisanal <strong>fisheries</strong>. Larger boats and better gear are not desirable if <strong>the</strong>y are used to fish <strong>the</strong> same<br />

stocks that are already under intense pressure.<br />

The tendency to “creep inshore” has already been clearly seen in <strong>the</strong> pair trawl fishery, but although <strong>the</strong> legal<br />

mechanisms to control <strong>the</strong> deployment <strong>of</strong> <strong>the</strong> trawlers are entirely adequate <strong>the</strong> government’s record in this regard is<br />

conspicuously weak. It is important to note that in this case one cannot count on harnessing <strong>the</strong> power <strong>of</strong> resource<br />

ownership to drive self-regulation by <strong>the</strong> mechanised <strong>fisheries</strong> – because <strong>the</strong> <strong>of</strong>fence in question is poaching on<br />

someone else’s territory. It is pointless blaming <strong>the</strong> fishermen for this, because no fisherman anywhere would pass<br />

up <strong>the</strong> chance <strong>of</strong> a little extra illicit income if <strong>the</strong> prospects for retribution are low. If <strong>the</strong> mechanised <strong>fisheries</strong> are to<br />

be developed, <strong>the</strong>n law enforcement capacity must be developed simultaneously and as part <strong>of</strong> <strong>the</strong> same package.<br />

References<br />

Banda, M.C. & Tómasson, T. 1996. Survey <strong>of</strong> trawling grounds and demersal fish stocks in central Lake Malawi, from Domira<br />

Bay to Nkhata Bay in 1994 and 1995. Fisheries Bulletin No. 33. Fisheries Department, Lilongwe.<br />

Banda, M.C. & Tómasson, T. 1997. Demersal fish stocks in sou<strong>the</strong>rn Lake Malawi: stock assessment and exploitation.<br />

Fisheries Bulletin No. 35. Fisheries Department, Lilongwe.


54<br />

Lake Malawi Fisheries Management Symposium - Proceedings<br />

Duponchelle, F. & Ribbink, A.J. (eds), 2000. Fish Ecology Report. Lake Malawi/Nyasa/Niassa Biodiversity Conservation<br />

Project. SADC/GEF.<br />

Fisheries Department. 1999. Fish Stocks and Fisheries <strong>of</strong> Malawian Waters. Resource Report 1999. Fisheries Research Unit,<br />

Monkey Bay.<br />

Government <strong>of</strong> Malawi. 2000. National Fisheries and Aquaculture Policy. Fisheries Department, Lilongwe.<br />

Menz, A. & Thompson, A.B. 1995. Management Report <strong>of</strong> <strong>the</strong> UK/SADC Pelagic Fish Resource Assessment Project (Lake<br />

Malawi/Niassa).<br />

Seymour, A.G. 1988. Likoma and Chizumulu Islands: production, processing and trading in <strong>the</strong> chilimira fishery. Fisheries<br />

Department/GTZ Rural Growth Centres Project.<br />

Seymour, A.G. 1989. Women’s fish processing and trading groups at Makanjira Rural Growth Centre: report on a short field<br />

visit 31/01/89 to 03/02/89. Working paper: Project for <strong>the</strong> Promotion <strong>of</strong> Women at <strong>the</strong> Rural Growth Centres. Office <strong>of</strong><br />

<strong>the</strong> President and Cabinet/GTZ Malawi.<br />

Tweddle, D. 1981. A preliminary assessment <strong>of</strong> <strong>the</strong> bottom-trawling potential <strong>of</strong> nor<strong>the</strong>rn Lake Malawi. Luso: J. Sci. Technol.<br />

Malawi, 2(2):3-13.<br />

Turner, G.F., Carvalho, G.R., Robinson, R.L. & Shaw, P.W. 2000. Ncheni Project: Final Report. Biodiversity Conservation and<br />

Sustainable Utilisation <strong>of</strong> Pelagic Cichlid Fishes <strong>of</strong> Lake Malawi/Niassa/Nyasa. DfID Project R6414, ERP 49.<br />

Weyl, O.L.F., Banda, M., Sodzapanja, G., Mwenekibombwe, L.H., Mponda, O.C. & Namoto, W. 2000: Annual Frame Survey<br />

September 1999. Fisheries Bulletin No. 42, Department <strong>of</strong> Fisheries, Lilongwe.<br />

World Bank. 2000. Implementation Completion Report on an IDA Credit in <strong>the</strong> Amount <strong>of</strong> USD 8 million to <strong>the</strong> Republic <strong>of</strong><br />

Malawi for a Fisheries Development Project (Credit No. 22250-MAI), December 29, 2000. Report No.: 21560, Rural<br />

Development Operations, Eastern and Sou<strong>the</strong>rn Africa, World Bank.


55<br />

Lake Malawi Fisheries Management Symposium - Proceedings<br />

Seeking Sustainability: Streng<strong>the</strong>ning Stakeholder Involvement in Fisheries<br />

Management in Malawi<br />

Tracy A. Dobson & Aaron J. M. Russell<br />

Department <strong>of</strong> Fisheries & Wildlife, Michigan State University, 13 Natural Resources Building, East Lansing, MI 48824-1222, Tel:<br />

517/432-1711, Fax: 517/432-1699, E-mail: dobson@msu.edu<br />

Abstract<br />

In response to declining fish stocks in Malawi’s waters, <strong>the</strong> government and a foreign aid donor collaborated to create a new<br />

<strong>fisheries</strong> <strong>management</strong> approach. A co-<strong>management</strong> regime was introduced in a pilot program at Lake Malombe at <strong>the</strong> sou<strong>the</strong>rn tip<br />

<strong>of</strong> Lake Malawi. Fishers elected “beach village committees” (BVCs) to work with Fisheries Department (FD) staff in several phases<br />

<strong>of</strong> <strong>management</strong>. Reviews <strong>of</strong> <strong>the</strong> program to date are mixed. BVCs are working with <strong>the</strong> FD but have unmet fishing needs.<br />

Expansion <strong>of</strong> co-<strong>management</strong> to Lake Malawi has been initiated and is reported to be progressing slowly. The co-<strong>management</strong><br />

approach is being more widely employed as greater demands are placed on scarce government resources everywhere and <strong>the</strong><br />

value <strong>of</strong> stakeholder involvement is recognized. Using insights from international <strong>fisheries</strong> co-<strong>management</strong> programs, suggestions<br />

for improving <strong>the</strong> successes <strong>of</strong> Malawian co-<strong>management</strong> programs are <strong>of</strong>fered.<br />

Key words: Fisheries co-<strong>management</strong>; community-based natural resources <strong>management</strong><br />

Introduction<br />

A significant reduction in near-shore catch in recent years in Malawi has led to <strong>the</strong> employment <strong>of</strong> a new approach<br />

to <strong>fisheries</strong> <strong>management</strong>. In this paper, based on <strong>the</strong> most recent available data, we describe <strong>the</strong> fishery and<br />

<strong>management</strong> historically and currently. In particular, we lay out <strong>the</strong> new <strong>management</strong> approach and assess its<br />

successes and failures to date as well as speculate on its future prospects for enhancing fishery <strong>management</strong>.<br />

Malawi is a small country situated in Sou<strong>the</strong>astern Africa along <strong>the</strong> African rift. At 119,000 km 2 it is similar in size<br />

to <strong>the</strong> State <strong>of</strong> Indiana. Most <strong>of</strong> <strong>the</strong> human population is concentrated in <strong>the</strong> sou<strong>the</strong>rn and central regions (National<br />

Statistical Office 1999) where <strong>the</strong> best fishing and most suitable agricultural land are located. While 90 percent <strong>of</strong><br />

Malawi’s citizens are engaged in agriculture (primarily subsistence), fishing and associated activities are a<br />

significant part <strong>of</strong> <strong>the</strong> economy. Fish provide an estimated 70 percent <strong>of</strong> dietary animal protein (National website<br />

2000, Bland and Donda 1995).<br />

Historically, five water bodies have been <strong>the</strong> major producers <strong>of</strong> fish: <strong>the</strong> Shire River and Lakes Chiuta, Chilwa,<br />

Malombe, and Malawi (See Figure 1). By far <strong>the</strong> largest and biggest producer <strong>of</strong> fish is Lake Malawi, a rift valley<br />

<strong>lake</strong> which yields 40 to 60 percent <strong>of</strong> <strong>the</strong> country’s annual catch (State <strong>of</strong> <strong>the</strong> Environment Report 1998). It is <strong>the</strong><br />

third largest <strong>lake</strong> in Africa, taking up approximately 20 percent <strong>of</strong> <strong>the</strong> country’s geographical area (27,000 km 2 ).<br />

Moreover, it is believed to be <strong>the</strong> world’s most diverse <strong>lake</strong> in terms <strong>of</strong> fish species. It is estimated that as many as<br />

1,000 species exist <strong>the</strong>re, most <strong>of</strong> which have not yet been described (National Environmental Action Plan 1994).<br />

The majority <strong>of</strong> species are believed to fall within <strong>the</strong> cichlid family, o<strong>the</strong>rs species are also significant in <strong>the</strong><br />

fishery. The main target species <strong>of</strong> <strong>the</strong> fishery include chambo (Oreochromis spp.), mpasa (Opsaridium<br />

microlepsis), utaka (Copadichromis), usipa (Engraulicyprius sardella), and kampango (Bagrus meridionalis).<br />

According to McCracken (1987), small scale fishing has a long history in Malawi. Traditional practices were left<br />

largely undisturbed by <strong>the</strong> British colonial regime that focused its attention on agriculture. Working from shore and<br />

dugout canoes, fishers used seine nets and gill nets to harvest a variety <strong>of</strong> species, including chambo, utaka,<br />

matemba and usipa. Recent estimates gauge total fishing industry participation at more than 230,000 persons<br />

(National website 2000, Bland and Donda 1994, Ferguson et al.1993), including boat owners, crew members, fish<br />

processors, and fish traders. The fisher component stands at approximately 40,000 (Bland and Donda 1995).<br />

Because <strong>of</strong> relatively easy entry to <strong>the</strong> fishery, as o<strong>the</strong>r fields <strong>of</strong> subsistence activity have been reduced or<br />

eliminated, and as <strong>the</strong> population has grown, a substantial increase in <strong>the</strong> number <strong>of</strong> participants has occurred (Bland<br />

and Donda 1995), causing greater fishing pressure, providing in part <strong>the</strong> impetus for a new <strong>management</strong> approach.


N<br />

Z A M B I A<br />

Z I M B A B W E<br />

Harare<br />

M A L A W I<br />

Figure 1. Malawi and its Water Bodies<br />

Lilongwe<br />

Lake Malawi<br />

Lake<br />

Malombe<br />

Blantyre<br />

0<br />

0<br />

T A N Z A N I A<br />

Lake Chiuta<br />

Lake Chilwa<br />

M O Z A M B I Q U E<br />

Figure 1. Malawi and its water bodies<br />

150 km<br />

100 mi<br />

56<br />

Lake Malawi Fisheries Management Symposium - Proceedings<br />

Historical approach to fishing regulation<br />

To understand <strong>the</strong> current situation a brief description <strong>of</strong> <strong>the</strong> historical context will be useful. According to Munthali<br />

(1994), territorial use rights, taboos and magic were employed to allocate and maintain <strong>the</strong> <strong>fisheries</strong> prior to <strong>the</strong><br />

colonial era. Persons desiring to fish needed to secure permission from a chief or village headman to fish from a<br />

particular beach. Control by traditional authorities over <strong>the</strong> number <strong>of</strong> fishers provided protection against<br />

overfishing as well as greater equity in access in <strong>the</strong> view <strong>of</strong> Munthali (1994). Taboos making certain species<br />

inappropriate for human consumption in addition to taboos regarding inappropriate times to fish formed parts <strong>of</strong> an<br />

arrangement that protected <strong>the</strong> stocks (Munthali 1994). In addition to <strong>the</strong> reduced impact on <strong>the</strong> fishery due to <strong>the</strong><br />

smaller populations dependent on fishing, traditional fishing methods (primarily handmade nets deployed ei<strong>the</strong>r<br />

from shore or dugout canoes) are believed to have allowed a sustainable exploitation <strong>of</strong> <strong>the</strong> <strong>fisheries</strong> due to <strong>the</strong>ir<br />

relative inefficiency.<br />

The British colonial regime <strong>of</strong> <strong>the</strong> late 1800s and early 1900s focused its attention on agriculture as <strong>the</strong> most<br />

important area <strong>of</strong> economic activity (primarily tea, c<strong>of</strong>fee and tobacco estate farming), leaving fishing to <strong>the</strong> locals<br />

for <strong>the</strong> most part (McCracken 1987). Most fish were consumed within <strong>the</strong> fisher’s household, but a significant<br />

indigenous commercial fishery serving local and regional indigenous markets was noted by Livingstone as early as<br />

1861 (McCracken 1987).<br />

European commercial competition was initiated in <strong>the</strong> 1930s. Fears that <strong>the</strong> use <strong>of</strong> European gear would dominate<br />

and significantly reduce <strong>the</strong> fishery through <strong>the</strong>ir higher efficiency caused <strong>the</strong> colonials to require non-Africans to<br />

obtain permits in <strong>the</strong> late 1930s. In 1949, a drought and fears <strong>of</strong> famine led to <strong>the</strong> imposition <strong>of</strong> a fish export ban<br />

and price controls. Never<strong>the</strong>less, by <strong>the</strong> 1950s, McCracken (1987) reports that a small number <strong>of</strong> Africans had<br />

developed substantial commercial fishing operations. Fishing rules adopted in 1974 and 1977 sought to limit fishing


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

pressure (and raise funds) through <strong>the</strong> requirement <strong>of</strong> commercial licenses, gear restrictions and closed seasons<br />

(McCracken 1987). In <strong>the</strong> 1990s, a government parastatal organization, MALDECO, and one private company were<br />

engaged in commercial fishing, and 22 pair-trawl units engage in semi-commercial activity (Alimoso 1994, Derman<br />

et al.1994). The commercial and semi-commercial sectors bring in approximately ten percent <strong>of</strong> <strong>the</strong> catch (Bland<br />

and Donda 1995).<br />

Over time <strong>the</strong> influences <strong>of</strong> western economic and religious ideologies have had <strong>the</strong>ir impacts on <strong>the</strong> “informal”<br />

institutions regulating fishing activities. The gradual reduction in peoples’ adherence to traditional fishing taboos,<br />

and <strong>the</strong> marginalization <strong>of</strong> traditional leaders’ authorities over fishing in some locations, have led to increases in<br />

fishing pressure. (Munthali 1994). When Malawi gained independence in 1964, <strong>the</strong> expatriate regulatory scheme<br />

remained in place, for many years staffed by expatriates. The gradual transition to a predominantly Malawian staff<br />

did not significantly change <strong>the</strong> Fisheries Department’s regulatory approach in <strong>the</strong> short run.<br />

Stock reductions lead to new approach to <strong>management</strong><br />

During <strong>the</strong> 20 th Century Malawi’s human population has increased tenfold to nearly 10 million persons (National<br />

Statistical Office 1999). At <strong>the</strong> same time, estate holdings, where export crops such as tobacco and tea are<br />

produced, have grown to cover ten percent <strong>of</strong> Malawi’s total land area (roughly one million ha), occupying some <strong>of</strong><br />

<strong>the</strong> country’s best agricultural land (Eschweiler 1993). The average subsistence farmer’s plot has shrunk below one<br />

hectare, a size considered insufficient to fulfil a family’s needs (National Population Plan 1993). As a result, more<br />

and more farmers have resorted to fishing for supplementary income (Bland and Donda 1994, Derman 1995,<br />

Ferguson et al. 1993). The 1998 State <strong>of</strong> <strong>the</strong> Environment Report cites a 32 percent increase from 1983 to 1988. In<br />

light <strong>of</strong> <strong>the</strong> extreme poverty <strong>of</strong> many persons who depend on fishing, a potential strategy <strong>of</strong> limiting access through<br />

requiring licenses and limiting <strong>the</strong>ir number, has been considered and rejected (Bland and Donda 1995).<br />

As <strong>the</strong> number <strong>of</strong> persons fishing has risen, pressure on fish stocks has caused dramatic reductions in certain key<br />

species, giving rise to concerns about <strong>the</strong> ability <strong>of</strong> near-shore <strong>fisheries</strong> to continue to produce an adequate yield for<br />

human dietary purposes as well as concerns about conserving biodiversity. For example, one <strong>of</strong> <strong>the</strong> most important<br />

catch targets in Lake Malombe, <strong>the</strong> chambo, has nearly disappeared from that <strong>lake</strong>, and elsewhere stocks have<br />

dropped as well. A 1995 report shows Lake Malombe’s chambo catch dropping from slightly over 4,000 tons in<br />

1976 to about 100 tons in 1994 (Bland and Donda 1995). Catch data indicate that <strong>the</strong> national chambo catch has<br />

decreased from 17,000 tons in 1984 to 4,000 tons in 1996 (State <strong>of</strong> <strong>the</strong> Environment Report 1998). While<br />

substitution <strong>of</strong> o<strong>the</strong>r species is occurring (State <strong>of</strong> Environment Report 1998), <strong>the</strong> data indicate that a high <strong>of</strong> 88,500<br />

tons <strong>of</strong> overall catch in 1987 has fallen and remains around 70,000 tons (State <strong>of</strong> <strong>the</strong> Environment Report 1998,<br />

Bland and Donda 1995). Consequently, diminishing fish stocks is one <strong>of</strong> <strong>the</strong> nine most significant environmental<br />

problems identified in <strong>the</strong> National Environmental Action Plan (1994). It should be noted that concern centres<br />

around <strong>the</strong> near-shore catch targeted by small scale fishers. A recent Icelandic International Development Agency<br />

(ICEIDA) study <strong>of</strong> demersal stocks is reported to have revealed a large unexploited biomass far from shore<br />

(Seymour1997), where gear employed by small scale fishers, who produce 90 percent <strong>of</strong> <strong>the</strong> catch (Bland and<br />

Donda 1995), cannot reach it.<br />

Plummeting <strong>of</strong> near-shore stocks in <strong>the</strong> 1990s (Ministry <strong>of</strong> Information 2000, Bland and Donda 1995) resulted in an<br />

increasing employment <strong>of</strong> fishing gear such as mosquito nets that harvest with almost absolute efficiency (Scholtz et<br />

al. 1997, Bland and Donda 1995). At <strong>the</strong> same time that this type <strong>of</strong> illegal and unsustainable activity took root, a<br />

weak economy meant that fewer resources were available for <strong>the</strong> FD to maintain, let alone expand, its <strong>management</strong><br />

and enforcement activities (Bland and Donda 1995). Everyone, including fishers, however, could see that <strong>the</strong> fishery<br />

was in jeopardy, creating a situation in which most stakeholders were willing to consider a different <strong>management</strong><br />

strategy. Lack <strong>of</strong> resources created an environment in which experimentation with a new approach involving <strong>the</strong><br />

resource-using communities appeared to be a viable option, at least on a trial basis.<br />

Government and donor recognition that action needed to be taken to conserve <strong>the</strong> <strong>fisheries</strong> provided <strong>the</strong> impetus and<br />

led to funding. In 1992 an experiment to involve local fishers in <strong>management</strong> was launched at Lake Malombe at <strong>the</strong><br />

sou<strong>the</strong>rn tip <strong>of</strong> Lake Malawi. Since stocks <strong>of</strong> <strong>the</strong> highly prized chambo had been nearly fished to extirpation <strong>the</strong>re,<br />

and <strong>the</strong> <strong>lake</strong> was relatively small (390 km 2 ), with about 335 fishers (Government <strong>of</strong> Malawi 1994), it seemed a<br />

feasible site for a pilot project. While new to Malawi, <strong>fisheries</strong> co-<strong>management</strong> is a strategy that has been employed<br />

successfully in a variety <strong>of</strong> regions and situations (Pinkerton and Weinstein 1995, Pinkerton 1989). Desperate for a<br />

solution, <strong>the</strong> Fisheries Department collaborated with <strong>the</strong> German Technical Assistance Agency (GTZ) to create <strong>the</strong><br />

Malawi-German Fisheries and Aquaculture Development Project (MAGFAD) Participatory Fisheries Management<br />

Program (PFMP) (Scholtz et al. 1997, Bland and Donda 1994). They thought that education and direct participation


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

in <strong>management</strong> would alter fisher behaviour, causing <strong>the</strong>m to reduce total effort to permit <strong>the</strong> stocks <strong>the</strong> time needed<br />

to recover, one <strong>of</strong> <strong>the</strong> PFMP’s goals.<br />

The strategies <strong>of</strong> <strong>the</strong> project were straight forward: provide extension education on fish biology and stock<br />

<strong>management</strong>, provide training and support on self-organization for <strong>management</strong> and leadership, and <strong>the</strong>n involve <strong>the</strong><br />

fishers in <strong>the</strong> formerly exclusive governmental domain <strong>of</strong> <strong>fisheries</strong> <strong>management</strong> (Scholtz et al. 1997). Increasing <strong>the</strong><br />

difficulty in bringing about change were <strong>the</strong> vestiges <strong>of</strong> decades <strong>of</strong> political oppression (Africa Watch Report 1990,<br />

Short 1974) that ended just as <strong>the</strong> PFMP was being launched. In a 1993 election, Malawi left behind 31 years <strong>of</strong><br />

dictatorship and chose multi-party democracy. Colonialism and <strong>the</strong> dictatorship had suppressed local level initiative<br />

and leadership and created a deep mistrust <strong>of</strong> government. These historical realities presented a challenge to PFMP<br />

organizers (Scholtz et al.1997, Mr. Ben Mtika, National Extension Agent, personal communication, 1996). Thus, an<br />

intensive educational and partnership-building effort was necessary along with carefully nurturing <strong>the</strong> development<br />

<strong>of</strong> <strong>the</strong> administrative and leadership skills needed to participate in <strong>fisheries</strong> co-<strong>management</strong>.<br />

Under girding <strong>the</strong> new <strong>management</strong> strategy is <strong>the</strong> <strong>the</strong>ory that shared regulatory responsibility, i.e., co<strong>management</strong><br />

1 , will increase <strong>management</strong> resources and enhance <strong>the</strong> fishery. Pinkerton (1989, p. 4) defines co<strong>management</strong><br />

as “...negotiated agreements and o<strong>the</strong>r legal or informal arrangements ... between groups or<br />

communities <strong>of</strong> fishermen and various levels <strong>of</strong> government responsible for <strong>fisheries</strong> <strong>management</strong>...” Ano<strong>the</strong>r useful<br />

definition supplied by Selin and Chavez (1995, p. 190) emphasizes <strong>the</strong> operational mechanism <strong>of</strong> such<br />

arrangements, “...a joint decision-making approach to problem resolution where power is shared, and stakeholders<br />

take collective responsibility for <strong>the</strong>ir actions and subsequent outcomes from those actions.” This type <strong>of</strong> strategy<br />

recognizes <strong>the</strong> significant role played by fishers, incorporates <strong>the</strong>ir needs, and draws upon <strong>the</strong>ir knowledge along<br />

with <strong>the</strong> <strong>of</strong>ten more technical knowledge <strong>of</strong> FD pr<strong>of</strong>essional staff. In a co-<strong>management</strong> arrangement, fishers begin<br />

to feel more like partners and less like miscreants that <strong>the</strong> government seeks to control. Fisheries Department staff<br />

assume new roles as well, shifting from top-down enforcers to collaborators. Concomitantly, through <strong>the</strong><br />

cooperation and collaboration inherent in co-<strong>management</strong>, <strong>the</strong> hostility and mistrust that existed historically in<br />

relationships between fishing communities and <strong>the</strong> Fisheries Department in Malawi began to dissipate (Scholtz et al.<br />

1997).<br />

Co-<strong>management</strong> arrangements may incorporate to varying degrees notions <strong>of</strong> shared authority, shared responsibility,<br />

stakeholder ownership <strong>of</strong> <strong>the</strong> resource, and direct benefits accruing to stakeholders. As a result <strong>of</strong> <strong>the</strong>ir involvement<br />

as managers, stakeholders may be held accountable and accept accountability for <strong>management</strong> outcomes which <strong>the</strong>y<br />

participated in creating. Perceiving <strong>the</strong>mselves as owners, and persons with responsibility for stock protection, <strong>the</strong>y<br />

are more likely to develop a long term view that changes <strong>the</strong>ir fishing behaviour (Bland and Donda, 1994).<br />

In <strong>the</strong> case <strong>of</strong> <strong>the</strong> PFMP at Lake Malombe, <strong>the</strong> program worked with <strong>the</strong> existing political framework to organize<br />

fishing villages. Each community elected a 10 to14 member beach village committee (BVC) to serve as an<br />

intermediary between <strong>the</strong> FD and <strong>the</strong> fishing community. Traditional authorities, village chiefs or village headmen,<br />

serve on <strong>the</strong> BVC within <strong>the</strong>ir jurisdiction in an ex <strong>of</strong>ficio capacity. After initial training provided by <strong>the</strong> FD and aid<br />

organizations, each BVC adopted a constitution and decided on which <strong>management</strong> activities <strong>the</strong>y would undertake.<br />

According to Scholtz et al. (1997) BVCs became involved in a variety <strong>of</strong> important activities including:<br />

1) discussions <strong>of</strong> <strong>fisheries</strong> regulations,<br />

2) licensing and record keeping for fishing gear and boats,<br />

3) control <strong>of</strong> <strong>the</strong>ir beach and fishing area (primarily gear and license inspection),<br />

4) organization <strong>of</strong> extension sessions, and<br />

5) participation in <strong>fisheries</strong> enforcement.<br />

The FD and donor <strong>of</strong>ficials believed that an educated community would be more likely to actively support shortterm<br />

fishing restrictions in <strong>the</strong> interest <strong>of</strong> long term gains. Thus, an extensive program <strong>of</strong> extension messages was<br />

launched by MAGFAD. The messages spoke <strong>of</strong> fish biology and appropriate fishing practices. Since most <strong>of</strong> <strong>the</strong><br />

target population is illiterate, <strong>the</strong> primary means <strong>of</strong> reaching out were discussions with BVC members, radio<br />

1 “Co-<strong>management</strong>” incorporates a broad range <strong>of</strong> approaches to public involvement in resource <strong>management</strong>. Ranging from<br />

seeking <strong>the</strong> views <strong>of</strong> affected groups to involving <strong>the</strong>m in problem identification, planning and implementation, to actual power<br />

sharing (IIED 1994). It also one <strong>of</strong> many terms and phrases used to refer to <strong>management</strong> by government that incorporates<br />

community members in some way, including “community-based natural resource <strong>management</strong>” and “collaborative <strong>management</strong>.”


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broadcasts, and performances <strong>of</strong> <strong>the</strong> MAGFAD band (Dawson 1997). The fishing villages rarely have live<br />

entertainment, so appearances by <strong>the</strong> band, singing songs about fishing, were always well attended and well received<br />

(Wilson 1993). UNDP supported <strong>the</strong> position <strong>of</strong> a full time extension expert who met regularly with <strong>the</strong> BVCs and<br />

trained <strong>the</strong>ir members in administration. Under his guidance <strong>the</strong>y learned about group dynamics and how to run<br />

elections, draft a constitution, create and maintain records and organize and run meetings (Scholtz et al. 1997).<br />

Co-<strong>management</strong> outcomes<br />

Positive <strong>fisheries</strong> <strong>management</strong> outcomes were reported by Scholtz et al. in <strong>the</strong>ir 1997 evaluation <strong>of</strong> <strong>the</strong> PFMP. Early<br />

in its development, in 1992, BVCs proposed regulations on appropriate fishing net mesh size. They advocated a<br />

19mm mesh while FD researchers argued for 25mm. Acceptance by <strong>the</strong> Department <strong>of</strong> <strong>the</strong> fishers’ position was a<br />

significant step forward in persuading <strong>the</strong> fishers to participate in <strong>the</strong> pilot project. O<strong>the</strong>r fisher-proposed regulations<br />

banned kambuzi seine nets and maintained <strong>the</strong> closed season. According to Scholtz et al. (1997) <strong>the</strong> FD was not in<br />

agreement with <strong>the</strong> usefulness <strong>of</strong> <strong>the</strong>se two rules, but <strong>the</strong>y were none<strong>the</strong>less adopted. The FD wished to be seen as<br />

recognizing fisher views in a significant way, and it was felt that <strong>the</strong> rules would do no significant harm to <strong>the</strong><br />

resource. With <strong>the</strong> adoption <strong>of</strong> <strong>the</strong> rules <strong>the</strong>y had advocated, <strong>the</strong> fishers knew <strong>the</strong>y had been heard and heeded, in<br />

keeping with <strong>the</strong> sentiment expressed by one <strong>of</strong> <strong>the</strong>m, Mr. Staubi Africa, who said in 1994, “It is for us fishermen to<br />

decide whe<strong>the</strong>r we want to be poor for one or two years, or whe<strong>the</strong>r we want to be poor forever” (Dr. J.G.M.<br />

Wilson, personal communication, January, 1996).<br />

Adoption rates <strong>of</strong> <strong>the</strong> new net sizes were reported to be 17 percent in 1994, 60 percent in 1995, and 85 percent in<br />

1996 (Scholtz et al. 1997). As <strong>the</strong> new program moved into full swing, Lake Malombe’s chambo catch data show<br />

an increase from 79 tons in 1994 to195 tons in 1995 (Scholtz et al. 1997), perhaps <strong>the</strong> beginning <strong>of</strong> a reversal <strong>of</strong> <strong>the</strong><br />

trend reported by Bland and Donda (1995).<br />

The reviews <strong>of</strong> <strong>the</strong> PFMP are not all positive. Indeed, a setback for <strong>the</strong> project occurred when fishers learned that<br />

promised “sitting fees” for meeting attendance, provision <strong>of</strong> new nets, and free replacement <strong>of</strong> nets <strong>of</strong> illegal mesh<br />

size were not forthcoming (DeGabriele 1998, Scholtz et al. 1997). An attempt to address <strong>the</strong> net replacement<br />

problem was made through a Fisheries Department small loan program. Through this program it was hoped that<br />

adoption <strong>of</strong> regulation size nets would happen as quickly as possible as well as salving <strong>the</strong> feelings <strong>of</strong> fishers<br />

concerned about “broken promises,” but fishers remained dissatisfied because <strong>the</strong> loan program did not fully meet<br />

<strong>the</strong>ir needs nor <strong>the</strong> original commitment <strong>of</strong> <strong>the</strong> FD (DeGabriele 1998, Scholtz et al. 1997).<br />

Scholtz et al.(1997) observed that FD staff continued to operate in a “top down” manner after <strong>the</strong> program began,<br />

undermining messages <strong>of</strong> shared authority and trust between managing “partners.” In addition, some recent attempts<br />

by BVCs to penalize violators were thwarted by FD <strong>of</strong>ficers (Dr. J.G.M. Wilson, personal communication, March<br />

28, 2000). Such overt blocking <strong>of</strong> BVC <strong>management</strong> authority will continue undermine <strong>the</strong> BVC-FD relationship as<br />

well as confidence in <strong>the</strong> willingness <strong>of</strong> <strong>the</strong> FD to share authority and to honour BVC decisions.<br />

The lack <strong>of</strong> effective communication, trust, and coordination between <strong>the</strong> FD and fishing communities was most<br />

recently highlighted by Mangochi fishermen’s misunderstanding and mistrust <strong>of</strong> <strong>the</strong> Department <strong>of</strong> Fisheries’s<br />

regulations establishing a closed fishing season that applied to local fishermen while excluding <strong>the</strong> commercial<br />

fishing vessels <strong>of</strong> MALDECO (Chimwaza 2000). The fact that fishermen’s ignorance <strong>of</strong> <strong>the</strong> reasoning behind <strong>the</strong><br />

regulations was dealt with using riot police and tear gas speaks volumes to <strong>the</strong> need for greater education and, more<br />

importantly, dialogue between <strong>the</strong> parties before regulations are passed (a need that can be addressed using<br />

increased participatory <strong>management</strong> (Donda 2000) . It is apparent from this incident that <strong>the</strong> reconfiguration <strong>of</strong><br />

government <strong>of</strong>ficials’ roles not been fully addressed, evaluations <strong>of</strong> stakeholder (including agency staff) incentives<br />

in <strong>the</strong> co-<strong>management</strong> process are needed, and that <strong>the</strong> participatory governance paradigm has not yet been fully<br />

internalised throughout <strong>the</strong> FD.<br />

Legislation authorises co-<strong>management</strong><br />

From <strong>the</strong> beginning GTZ had been concerned about <strong>the</strong> absence <strong>of</strong> mandated institutional support for fisher<br />

participation in <strong>management</strong> (Scholtz et al. 1997). With progress to report that could be used to argue for legal<br />

status for this kind <strong>of</strong> activity, and with a proposed new <strong>fisheries</strong> law, “Fisheries Conservation and Management<br />

Act,” in <strong>the</strong> parliamentary hopper, GTZ began to pressure <strong>the</strong> government for new statutory provisions to formalize<br />

<strong>fisheries</strong> co-<strong>management</strong> (Dobson 1997). A consultant was hired to prepare an analysis <strong>of</strong> <strong>the</strong> situation and to draft<br />

language that could be inserted in <strong>the</strong> proposed statute (Dobson 1996). Her report was presented to <strong>the</strong> Director <strong>of</strong><br />

Fisheries in May, 1996. The proposed statute was enacted in 1997, and it includes a new section. “Part III,”


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containing provisions authorizing “Local Community Participation” (Fisheries Conservation and Management Act,<br />

1997). Broadly speaking, BVCs are responsible for “conservation and <strong>management</strong> <strong>of</strong> <strong>fisheries</strong>” within <strong>the</strong>ir<br />

jurisdiction (Fisheries Conservation and Management (Local Community Participation Rules, 1998). The more<br />

specific details setting forth <strong>the</strong> institutional structures and authority <strong>of</strong> BVCs (e.g., licensing <strong>of</strong> small scale fishers,<br />

vessels and gear, enforcement) appear in <strong>the</strong> Fisheries Conservation and Management (Local Community<br />

Participation) Rules, 1998. The National Fisheries and Aquaculture Policy <strong>of</strong> 1999, has gone on to support co<strong>management</strong><br />

in stating that “..participatory <strong>fisheries</strong> <strong>management</strong> has proven to be <strong>the</strong> most appropriate method to<br />

manage <strong>the</strong> fish resources in <strong>the</strong> <strong>lake</strong>s <strong>of</strong> Malawi.”<br />

Co-<strong>management</strong> at Lake Malawi and beyond<br />

With legislation in place securing <strong>the</strong> position <strong>of</strong> co-<strong>management</strong>, in 1998, GTZ authorized funding to expand <strong>the</strong><br />

program it had initiated at Lake Malombe to <strong>the</strong> fishing villages <strong>of</strong> Lake Malawi. The expansion is a substantial<br />

undertaking in view <strong>of</strong> <strong>the</strong> size <strong>of</strong> <strong>the</strong> Lake. According to a consultant who is currently reviewing co-<strong>management</strong><br />

activities in many <strong>of</strong> Malawi’s natural resources sectors, including <strong>the</strong> <strong>fisheries</strong>, his preliminary data indicate that<br />

progress is slow (Dr. J.G.M. Wilson, personal communication, March 28, 2000). According to Wilson, no co<strong>management</strong><br />

agreements between <strong>the</strong> Fisheries Department and local communities have yet been signed as<br />

authorized by <strong>the</strong> 1997 Fisheries Conservation and Management Act (Dr. J.G. M. Wilson, personal communication<br />

June 27, 2000). Formal agreements between <strong>the</strong> FD and BVCs would likely streng<strong>the</strong>n fishers’ sense <strong>of</strong> ownership<br />

and responsibility.<br />

Wilson (June 2000) fur<strong>the</strong>r reports that initial BVC organization has occurred at <strong>the</strong> sou<strong>the</strong>rn end <strong>of</strong> <strong>the</strong> Lake, but<br />

that <strong>the</strong> regular radio broadcasts on fishing appear to have induced fishers at <strong>the</strong> more remote, Nor<strong>the</strong>rn end <strong>of</strong> <strong>the</strong><br />

<strong>lake</strong> to organize into BVCs on <strong>the</strong>ir own, in a fashion similar to <strong>the</strong> Lake Chiuta fishers described below. Having<br />

come into existence only recently, it may be too soon to begin evaluating <strong>the</strong> effectiveness <strong>of</strong> <strong>the</strong> activities <strong>of</strong> <strong>the</strong><br />

new groups.<br />

While beyond <strong>the</strong> scope <strong>of</strong> this article, it should be noted that <strong>the</strong> Lake Malombe project gave rise to a successful<br />

fisher-initiated effort at Lake Chiuta, a small <strong>lake</strong> that sits astride <strong>the</strong> Malawi-Mozambique border (see Figure 1).<br />

Learning <strong>of</strong> <strong>the</strong> Lake Malombe approach, in 1994 fishers organized <strong>the</strong>mselves to protect <strong>the</strong>ir fishery from<br />

approximately 300 new entrants from Lake Chilwa which had substantially dried up. With very limited assistance<br />

from <strong>the</strong> FD, <strong>the</strong>y employed <strong>the</strong> model <strong>of</strong> Lake Malombe’s BVCs. They established nine 14-member Fish Stock<br />

Management Committees and drove <strong>of</strong>f <strong>the</strong> interlopers who were using damaging nkacha seine nets and fouling <strong>the</strong><br />

Lake’s waters with human waste (Dawson 1997, Scholtz et al. 1997). That effort appears to be continuing from a<br />

recent report describing <strong>the</strong> successful confiscation <strong>of</strong> two “illegal seine nets” from armed Mozambican fishers by<br />

Lake Chiuta fishers (Dr. J.G.M.Wilson, personal communication, March 28, 2000).<br />

Involving members <strong>of</strong> <strong>the</strong> user community in <strong>management</strong> is still in its fledgling stage in Malawi, and additional<br />

time is required before impacts on <strong>the</strong> fishery can be clearly seen and fully assessed. These efforts toward increasing<br />

<strong>the</strong> participation <strong>of</strong> local communities in resource <strong>management</strong> are part <strong>of</strong> a larger pattern that is being seen in <strong>the</strong><br />

region. An example is Malawi’s nor<strong>the</strong>rn neighbour, Tanzania, which has recently reacted to dropping fish stocks<br />

and water quality concerns by implementing a co-<strong>management</strong> approach for its Lake Victoria fishery. In response<br />

to increasing population pressures, overfishing, use <strong>of</strong> illegal gear and <strong>the</strong> introduction <strong>of</strong> a pesticide, thiodan, that<br />

were damaging <strong>the</strong> <strong>fisheries</strong> stocks and <strong>the</strong> <strong>lake</strong> water quality, 91 Beach Management Units (BMUs) have been<br />

established in Mwanza Gulf (Hoza and Mahantane 1998). It appears to be similar in form to <strong>the</strong> Lake Malombe<br />

program, with responsibility shared between <strong>the</strong> Fisheries Division <strong>of</strong> <strong>the</strong> government and <strong>the</strong> BMUs who patrol<br />

<strong>the</strong>ir fishing grounds to reduce illegal fishing.<br />

It should be noted that <strong>the</strong> co-<strong>management</strong> approach is being adopted well beyond <strong>the</strong> developing nations. Policy<br />

makers and managers are realizing that working with stakeholders in planning and implementation makes great<br />

practical sense (Selin and Chavez 1995, discussing inter alia “collaboration models” used by <strong>the</strong> U.S. Forest<br />

Service). Just as <strong>the</strong> fishers in Malawi have useful knowledge to contribute to <strong>the</strong> <strong>management</strong> <strong>of</strong> <strong>the</strong>ir fishery, as<br />

one example, <strong>the</strong> U.S. Fish and Wildlife Service acknowledges <strong>the</strong> importance <strong>of</strong> <strong>the</strong> knowledge and community<br />

ownership <strong>of</strong> residents in <strong>the</strong> Bitterroot Ecosystem as it moves forward with a plan to re-introduce <strong>the</strong> grizzly bear<br />

<strong>the</strong>re in <strong>the</strong> near future to be managed by a citizen board (U.S. Fish and Wildlife Service 1999).


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Participatory approaches in resource <strong>management</strong> agencies<br />

Descriptions <strong>of</strong> <strong>the</strong> factors that are conducive to making co-<strong>management</strong> effective have been described by many<br />

authors (ex. Baland and Platteau 1996, Ostrom 1990). And while most authors discuss at length <strong>the</strong> requirements<br />

for capacity-building in communities and user-groups, most give short shrift to <strong>the</strong> institutional changes that are<br />

needed in <strong>the</strong> resource <strong>management</strong> agencies, whose staff are being drastically altered by fiat. Therefore, we will<br />

discuss some <strong>of</strong> <strong>the</strong> findings <strong>of</strong> <strong>the</strong> co-<strong>management</strong> literature on <strong>the</strong>se neglected participants in <strong>the</strong> co-<strong>management</strong><br />

process: <strong>the</strong> resource agency personnel.<br />

While most resource <strong>management</strong> field staff have traditionally enjoyed relatively high levels <strong>of</strong> authority and<br />

prestige over fishing communities, <strong>the</strong>ir new roles in a co-<strong>management</strong> program have stripped <strong>the</strong>m <strong>of</strong> much<br />

authority and prestige. Ironically, <strong>the</strong>y are <strong>the</strong> recipients <strong>of</strong> upper-agency/upper-governmental directives mandating<br />

<strong>the</strong>ir participation in a participatory <strong>management</strong> approach, while this same courtesy <strong>of</strong> participation is not applied<br />

to <strong>the</strong>m within <strong>the</strong>ir department. In a study done by Gronow (1995), it was noted that <strong>the</strong> Forestry Department field<br />

staff in Nepal lacked a true understanding <strong>of</strong> <strong>the</strong> participatory approach, and failed to appreciate <strong>the</strong> legitimacy and<br />

desirability <strong>of</strong> <strong>the</strong> approach as <strong>the</strong>ir own lack <strong>of</strong> knowledge, lack <strong>of</strong> incentives, job tenure insecurity, and lack <strong>of</strong><br />

agency support had not been taken into account in <strong>the</strong> design <strong>of</strong> <strong>the</strong> new program. Their inability to voice <strong>the</strong>se<br />

concerns and opinions caused <strong>the</strong>m to resist <strong>the</strong>ir gradual loss <strong>of</strong> authority and power. As a result, nei<strong>the</strong>r <strong>the</strong><br />

agency’s nor <strong>the</strong> communities’ goals were met.<br />

It was only in certain areas where <strong>the</strong> forestry field agency concerns were addressed that staff became enthusiastic<br />

supporters <strong>of</strong> <strong>the</strong> new programs, <strong>the</strong>reby contributing to <strong>the</strong> programs’ successes. The process <strong>of</strong> reorientation was<br />

made in several stages (Gronow 1995). To initiate <strong>the</strong> process, field personnel were invited to take part in a 10-day<br />

workshop, where <strong>the</strong>y were encouraged to discuss amongst <strong>the</strong>mselves (with <strong>the</strong> aid <strong>of</strong> a pr<strong>of</strong>essional facilitator) <strong>the</strong><br />

issues surrounding forestry co-<strong>management</strong> and <strong>the</strong>ir roles in it. At this same workshop, <strong>the</strong>y were presented with<br />

<strong>the</strong> latest information regarding <strong>the</strong> resource, co-<strong>management</strong> research, and participatory methods. Most workshops<br />

culminated with <strong>the</strong> staff’s decision to adopt <strong>the</strong>ir newly understood roles in <strong>the</strong> co-<strong>management</strong> process,<br />

committing <strong>the</strong>mselves to <strong>the</strong> process. By allowing <strong>the</strong> field staff to experience a participatory approach within <strong>the</strong><br />

agency where <strong>the</strong>y saw <strong>the</strong> value <strong>of</strong> actively addressing stakeholders’ (in this case, <strong>the</strong>mselves) concerns, <strong>the</strong>y<br />

understood <strong>the</strong> merits inherent in doing <strong>the</strong> same with <strong>the</strong> forest-stakeholders.<br />

The second element was to provide <strong>the</strong> field staff with “follow-up support” to consolidate <strong>the</strong> process that was<br />

started at <strong>the</strong> workshops (Gronow 1995). They were provided with short-term moral and practical support, and job<br />

security while <strong>the</strong>y attempted to innovatively change <strong>the</strong> ways that <strong>the</strong>ir jurisdictions’ forest resources were<br />

managed. The presence <strong>of</strong> competent and supportive role models was seen to be highly predictive <strong>of</strong> field staffs<br />

becoming effective and enthusiastic facilitators <strong>of</strong> <strong>the</strong> co-<strong>management</strong> processes with <strong>the</strong>ir forest user-groups.<br />

The last element, which has been shown to be <strong>the</strong> most challenging is achieving <strong>the</strong> institutional change necessary<br />

within <strong>the</strong> agency as a whole “.. to provide field staff with an environment conducive to <strong>the</strong>ir new role.”(Gronow<br />

1995) This requires a consistent application <strong>of</strong> <strong>the</strong> participatory approach within <strong>the</strong> agency. Lacking this<br />

consistency, different levels <strong>of</strong> <strong>the</strong> agency develop highly disparate attitudes toward co-<strong>management</strong>, from proparticipatory,<br />

manipulative, incremental, to anti-participatory (Midgley et al. 1986). This can have <strong>the</strong> effect <strong>of</strong><br />

stifling motivation and innovation at all levels within <strong>the</strong> agency, and <strong>the</strong> development <strong>of</strong> perverse incentives against<br />

resource conservation and resource-user participation in <strong>management</strong>.<br />

In developing <strong>the</strong> co-<strong>management</strong> regimes with communities, <strong>the</strong> incentives <strong>of</strong> all stakeholders must be addressed.<br />

As <strong>the</strong> field staff are <strong>the</strong> main representatives <strong>of</strong> <strong>the</strong> agency in <strong>the</strong> co-<strong>management</strong> process, <strong>the</strong>ir roles and incentives<br />

need to receive as close scrutiny as that <strong>of</strong> <strong>the</strong> incentives and institutions facilitating community-members’ actions,<br />

if <strong>the</strong>se new <strong>management</strong> regimes are to achieve success. When looking at field staffs’ incentives for acceptance <strong>of</strong><br />

<strong>the</strong> participatory method, <strong>the</strong> incentives within <strong>the</strong>ir working environment need to be analysed and restructured in<br />

ways that encourage, ra<strong>the</strong>r than discourage <strong>the</strong>ir investment in <strong>the</strong> process. Through periodic participatory<br />

dialogues with all agency staff, <strong>the</strong> incentives and disincentives that arise can be addressed to improve staff<br />

members’ productivity and to reduce <strong>the</strong> development <strong>of</strong> perverse incentives within <strong>the</strong> agency.<br />

A brief discussion <strong>of</strong> <strong>the</strong> literature on human development will assist in understanding why and how this might<br />

work. The hierarchy <strong>of</strong> human needs was first described by Maslow (1943) to outline <strong>the</strong> motivations behind<br />

peoples’ actions (Figure 2). The bottom four levels <strong>of</strong> a simplified version <strong>of</strong> Maslow’s concept are called


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“deficiency needs,” which must be met before a person is able to move to <strong>the</strong> next level. The top level is “selfactualisation,”<br />

which, with Maslow’s later work (1954), came to be expanded into a grouping named “growth<br />

needs” consisting <strong>of</strong> (in order <strong>of</strong> increasing human growth):<br />

· Cognitive growth: <strong>the</strong> need to know, to understand, and explore;<br />

· Aes<strong>the</strong>tic growth: <strong>the</strong> need for symmetry, order, and beauty;<br />

· Self-actualization: to find self-fulfillment and realize one's potential; and<br />

· Transcendence: to help o<strong>the</strong>rs find self-fulfillment and realize <strong>the</strong>ir potential.<br />

Closely related to Maslow’s hierarchy is Herzberg’s (Herzberg et al. 1959) “Motivation Hygiene Theory” which<br />

describes job factors that motivate employees, dividing motivations in a similar fashion to Maslow (Figure 2):<br />

hygiene maintenance factors (related to “deficiency needs”), and motivational Factors (related to “growth needs”).<br />

“Hygiene factors” are a requisite avoiding workers’ dissatisfaction in <strong>the</strong>ir jobs, while “motivational factors”<br />

actually produce job satisfaction (and motivate). Fur<strong>the</strong>rmore, while hygiene factor improvements may create shortterm<br />

changes in job performance, long term job performance changes are created only by increased motivational<br />

factors.<br />

Extending Maslow’s and Herzberg’s <strong>the</strong>ories to <strong>the</strong> roles played by resource <strong>management</strong> staff members in co<strong>management</strong><br />

regimes, it seems clear that in order for agency personnel to actively embrace a role in co-<strong>management</strong><br />

that is foreign to <strong>the</strong>m (and may have <strong>the</strong> potential to endanger <strong>the</strong>ir “deficiency/hygiene” needs), <strong>the</strong>ir<br />

“deficiency/hygiene” needs and “growth/motivational” needs must be addressed. These latter needs can only be<br />

sustained if <strong>the</strong>y are part <strong>of</strong> an overall evaluation <strong>of</strong> <strong>the</strong> institutional infrastructure, which can best be done through<br />

an incorporation <strong>of</strong> participatory approaches in <strong>the</strong> <strong>management</strong> <strong>of</strong> <strong>the</strong> agency itself.<br />

Agency personnel analyses also should learn from <strong>the</strong> co-<strong>management</strong> literature by addressing <strong>the</strong> same erroneous<br />

assumptions that have been applied to <strong>the</strong> identities and capacities <strong>of</strong> “community members.” “Agency staff” at all<br />

levels should not be seen as homogeneous, given <strong>the</strong>ir unique ideologies and identities stemming from <strong>the</strong>ir<br />

overlapping pr<strong>of</strong>iles <strong>of</strong> gender, religion, ethnicity, socio-economic background, and so forth. To induce <strong>the</strong>m to<br />

innovate and be pro-active in <strong>the</strong>ir jobs, <strong>the</strong>ir incentives and disincentives at every stage <strong>of</strong> <strong>the</strong> co-<strong>management</strong><br />

process (policy making, planning, evaluation, enforcement) need to be analysed and addressed in <strong>the</strong> context <strong>of</strong> <strong>the</strong><br />

effects that <strong>the</strong>y have on <strong>the</strong> program. One <strong>of</strong> <strong>the</strong> best ways for this to be achieved is through active, consistent, and<br />

productive dialogue within <strong>the</strong> agency.<br />

Conclusions<br />

This assessment indicates that <strong>the</strong> evolution in <strong>the</strong> <strong>management</strong> approach for Malawi’s fishery from controls through<br />

traditional methods to license-based open access may be responsible for near-crisis conditions in <strong>the</strong> near-shore<br />

fishery. Coming at least part way round <strong>the</strong> circle, Malawi is following <strong>the</strong> approach employed in o<strong>the</strong>r <strong>fisheries</strong> to<br />

reincorporate local participation in <strong>fisheries</strong> <strong>management</strong>. While not a panacea, given <strong>the</strong> magnitude and multitude<br />

<strong>of</strong> o<strong>the</strong>r social issues in Malawi (e.g., human population growth, a weak economy), co-<strong>management</strong> appears to be a<br />

<strong>management</strong> strategy with many positive potentials.<br />

Seeing <strong>the</strong>mselves as <strong>management</strong> partners with a significant role in building sustainable <strong>fisheries</strong> could cause<br />

fishers to adopt a longer term view, replacing <strong>the</strong> short term thinking which dictates taking as many fish each day as<br />

possible. Such a changed mentality is necessary to move Malawi in <strong>the</strong> direction <strong>of</strong> fishery sustainability. Care<br />

should be taken, however, to avoid <strong>the</strong> mistakes that have been made thus far that have hindered <strong>the</strong> effectiveness <strong>of</strong><br />

<strong>the</strong> PFMP co-<strong>management</strong> arrangement, such as <strong>the</strong> failure to make good on commitments to fishers, undermining<br />

fisher enforcement efforts, and direct conflict between FD staff and fishers.<br />

Also crucial to <strong>the</strong> success <strong>of</strong> <strong>fisheries</strong> co-<strong>management</strong> are appropriate training and redeployment <strong>of</strong> <strong>management</strong><br />

staff as well as a shift to more <strong>of</strong> a participatory approach within <strong>the</strong> Fisheries Department itself. The mistakes to<br />

date could be more easily avoided by ensuring complete understanding, unanimity, and institutional support within<br />

<strong>the</strong> agency <strong>of</strong> <strong>the</strong> reconfigured roles to be played by <strong>the</strong> agency and its staff in <strong>fisheries</strong> <strong>management</strong>.


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Figure 2. Maslow’s Hierarchy <strong>of</strong> Needs and Herzberg’s Motivation Hygiene Theory (from Allen 1998).<br />

Figure 3. Herzberg’s Motivation Hygiene Theory (expanded) (from Allen 1998).


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References<br />

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Fisheries Department Report.<br />

Allen, G. 1998. Supervision. (Hyperlink-http://ollie.dcccd.edu/mgmt1374/book_intro.html).<br />

Baland, J.M., & Platteau, J.P. 1996. Halting degradation <strong>of</strong> natural resources: is <strong>the</strong>re a role for rural communities? New<br />

York: United Nations Food and Agriculture Organization and Oxford: Clarendon Press.<br />

Bland, S.J.R., Donda, S.J. 1995. Common Property and Poverty: Fisheries Co-Management in Malawi. Fisheries Bulletin No.<br />

30. 1-16.<br />

Bland, S.J.R. & Donda, S.J. 1994. Management Initiatives for <strong>the</strong> Fisheries <strong>of</strong> Malawi. Fisheries Department Report,<br />

Government <strong>of</strong> Malawi.<br />

Chimwaza, E. 2000. “Police tear gasses Mangochi fishermen” Malawi News, December 9-15, 2000.<br />

Dawson, K.R. 1997. Applying Cooperative Management in Small-Scale Fisheries: The Cases <strong>of</strong> Lakes Malombe and Chiuta,<br />

Malawi, M.S. <strong>the</strong>sis, Michigan State Univ., East Lansing, MI.<br />

DeGabriele, J. 1998. Evaluation <strong>of</strong> <strong>the</strong> participatory <strong>fisheries</strong> <strong>management</strong> programme for Lake Malombe and <strong>the</strong> Upper Shire.<br />

Report to GTZ, 1-32.<br />

Department <strong>of</strong> Economic Planning and Development. 1993. National Population Report. Office <strong>of</strong> <strong>the</strong> President and Cabinet,<br />

Government <strong>of</strong> Malawi.<br />

Department <strong>of</strong> Research and Environmental Affairs. 1994. National Environmental Action Plan., Government <strong>of</strong> Malawi.<br />

Derman, B., Ferguson, A. & Mkandawire, R. 1994. Socioeconomic Diversity among Lake Malawi’s Small-Scale Fishers:<br />

Implications for Biological Diversity and Fisheries Management. Presented at <strong>the</strong> Annual Meeting <strong>of</strong> <strong>the</strong> American<br />

Association for <strong>the</strong> Advancement <strong>of</strong> Science.<br />

Derman, B & Ferguson, A. 1995. Human Rights, Environment and Development: The Dispossession <strong>of</strong> Fishing Communities on<br />

Lake Malawi. Human Ecology. 23:125-142<br />

Dobson, T. 1996. A Report to <strong>the</strong> Director <strong>of</strong> Fisheries on Behalf <strong>of</strong> <strong>the</strong> Malawi-German Fisheries and Aquaculture Development<br />

Project. Submitted 24 May 1996.<br />

Dobson, T. 1997. Radical Restructuring <strong>of</strong> Environmental Policy to Preserve Biodiversity in Sou<strong>the</strong>rn Africa: Malawi at <strong>the</strong><br />

Crossroads. J. <strong>of</strong> Nat. Resources & Env. Law. 13:149-175.<br />

Dobson, T. 1999. Community Participation in Natural Resources Management in Malawi: Charting a New Course for<br />

Sustainability. Colo. J. <strong>of</strong> Intl. Env. Law and Policy, 1998 Yearbook, 153-177.<br />

Donda, S. 2000. Journey to sustainable <strong>fisheries</strong> <strong>management</strong>: organizational and institutional limitations in <strong>fisheries</strong> co<strong>management</strong>,<br />

<strong>the</strong> cases <strong>of</strong> <strong>lake</strong>s Malombe and Chiuta in Malawi. IIFET2000: Microbehavior and Macroresults, Oregon<br />

State University.<br />

Environmental Affairs Department. 1998. State <strong>of</strong> Environment Report for Malawi 1998. , Government <strong>of</strong> Malawi.<br />

Eschweiler, J.A. 1993. Malawi Land Uses. Consultant’s Report to <strong>the</strong> World Bank. i-vii & 1-107.<br />

Ferguson, A., Derman, B. & Mkandawire, R. 1993. The New Development Rhetoric and Lake Malawi. Africa. 63:1-18.<br />

Food and Agriculture Organization <strong>of</strong> <strong>the</strong> United Nations (FAO) Fisheries Department. 1996. Fishery Country Pr<strong>of</strong>ile: The<br />

Republic <strong>of</strong> Malawi. Http://www.fao.org/fi/fcp/<strong>malawi</strong>e.asp.<br />

Government <strong>of</strong> Malawi, Food and Agriculture Organization <strong>of</strong> <strong>the</strong> United Nations, United Nations Development Programme.<br />

1994. Fisheries <strong>management</strong> in <strong>the</strong> south-east arm <strong>of</strong> Lake Malawi, <strong>the</strong> Upper Shire River and Lake Malombe, with<br />

particular reference to <strong>the</strong> <strong>fisheries</strong> on Chambo (Oreochromis spp.). Chambo Fisheries Research Project.<br />

Gronow, J. 1995. Shifting power, sharing power: issues from user-group forestry in Nepal. In Nelson, N., and S. Wright, eds.<br />

Power and Participatory Research: Theory and practice.<br />

Herzberg, F., Mausner, B. & Snyderman, B.B. 1959. The Motivation to Work (2nd ed.). New York: John Wiley & Sons.<br />

Hoza, R.B. & Mahatane, A.T. 1998. Fisheries Management Component: Co-Management in Mwanza Gulf. Ministry <strong>of</strong><br />

Natural Resources and Tourism.<br />

Human Rights Watch. 1990. Where Silence Rules: The Suppression <strong>of</strong> Dissent in Malawi. An Africa Watch Report.<br />

International Institute for Environment and Development (IIED). 1994. Whose Eden? An Overview <strong>of</strong> Community Approaches<br />

to Wildlife Management. A report to <strong>the</strong> Overseas Development Administration <strong>of</strong> <strong>the</strong> British Government.<br />

Koro, E. 1999. Where Are Malawi’s Fish?, Africa Information Afrique, May 24, 1999.<br />

Maslow, A. 1943. A <strong>the</strong>ory <strong>of</strong> human motivation. Psychological Review, 50, 370-396.<br />

Maslow, A. & Lowery, R. Ed.. 1998. Toward a psychology <strong>of</strong> being (3rd ed.). New York: Wiley & Sons.<br />

Ministry <strong>of</strong> Information. 2000. Agriculture. Http://www.maform.<strong>malawi</strong>.net/agricutlure.htm<br />

McCracken, J. 1987. Fishing and <strong>the</strong> Colonial Economy: The Case <strong>of</strong> Malawi. J. <strong>of</strong> African History. 28:413-429.<br />

Munthali, S.M. 1994. Protected Areas and People: Sustaining Lake Malawi’s Ecology. Report to <strong>the</strong> Department <strong>of</strong> National<br />

Parks and Wildlife, Malawi. 1-36.<br />

National Statistical Office. 1999. Population <strong>of</strong> Malawi in 1998, 1987 and 1977 by area and sex.<br />

Http://www.nso.<strong>malawi</strong>.net/Comparative_population.htm.<br />

Ostrom, E. 1990. Governing <strong>the</strong> commons: <strong>the</strong> evolution <strong>of</strong> institutions for collective action. Cambridge: Cambridge University<br />

Press.<br />

Pinkerton, E. & Weinstein, M. 1995. Fisheries that Work: Sustainability Through Community-Based Management. A Report to<br />

<strong>the</strong> David Suzuki Foundation.<br />

Pinkerton, E. 1989. Co-Operative Management <strong>of</strong> Local Fisheries: New Directions for Improved Management and Community<br />

Development. Vancouver, British Columbia: University <strong>of</strong> British Columbia Press


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Scholtz, U.F., Njaya, F.J., Chimatiro, S., Hummel, M., Donda, S.& Mkoko, B.J. 1997. Status and Prospects <strong>of</strong> Participatory<br />

Fisheries Management Programs in Malawi. A paper presented at <strong>the</strong> FAO/ODA Expert Consultation on Inland<br />

Fisheries Enhancements, Dhaka, Bangladesh, 7-11 April, 1997.<br />

Selin, S. &Chavez, D. 1995. Developing a Collaborative Model for Environmental Planning and Management. Environmental<br />

Management. 19:189-195.<br />

Seymour, A. 1997. A Fishy Tale. Notes for a presentation to <strong>the</strong> [Malawi] Donors Environment and Natural Resources meeting,<br />

Sept. 4, 1997.<br />

Short, P. 1974. Banda.. London: Cox & Wyman Ltd.<br />

U.S. Fish and Wildlife Service. 1993. Grizzly Bear Recovery in <strong>the</strong> Bitterroot Ecosystem. Environmental Impact Statement.<br />

Wilson, J.G.M. 1993. Lake Malawi and <strong>the</strong> Upper Shire River: Community Fisheries Management Programme. Sou<strong>the</strong>rn Africa<br />

Development Coordination Natural Resources Newsletter, Issue 4, October.<br />

Governmental Statutes and Policies cited<br />

Environment Management Act (1996) (Malawi)<br />

Fisheries Conservation and Management Bill (1996) (Malawi)<br />

Fisheries Conservation and Management Act (1997) (Malawi)<br />

Fisheries Conservation and Management (Local Community Participation) Rules, 1998 (Malawi)<br />

National Fisheries and Aquaculture Policy, October 1999.


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Fisheries <strong>management</strong> and uncertainty: <strong>the</strong> causes and consequences <strong>of</strong><br />

variability in inland <strong>fisheries</strong> in Africa, with special reference to Malawi<br />

Edward H. Allison 1 , Frank Ellis 1 , Peter M. Mvula 2 and Laurence F. Mathieu 1<br />

1 School <strong>of</strong> Development Studies, University <strong>of</strong> East Anglia, Norwich NR4 7TJ, U.K.<br />

2 Centre for Social Research, Chancellor College, Zomba, University <strong>of</strong> Malawi.<br />

* Corresponding author.<br />

Abstract<br />

Uncertainty pervades <strong>the</strong> <strong>management</strong> <strong>of</strong> <strong>fisheries</strong>. Scientific <strong>fisheries</strong> <strong>management</strong> over <strong>the</strong> last 50 years has been based on <strong>the</strong><br />

premise that <strong>the</strong>re exists an equilibrium relationship between fish production and <strong>the</strong> level <strong>of</strong> harvest that can be taken without<br />

depleting <strong>the</strong> stocks. These equilibrium ‘surplus-production’ and ‘yield-per-recruit’ models have served to establish <strong>the</strong> principle that<br />

unregulated fishing will deplete fish stocks and dissipate economic rents from <strong>the</strong> fishery, but <strong>the</strong>y have been <strong>of</strong> limited applicability<br />

for practical <strong>fisheries</strong> <strong>management</strong> when <strong>the</strong>ir equilibrium assumptions are violated. The influence <strong>of</strong> equilibrium models has<br />

extended beyond stock assessment into <strong>management</strong>, such that many <strong>fisheries</strong> <strong>management</strong> measures are based on a ‘steadystate’<br />

view <strong>of</strong> fishery resources even when most stakeholders are aware that <strong>the</strong> assumptions are untenable.<br />

This paper makes <strong>the</strong> case that fish production in many African inland waters is driven by climate variations. For <strong>fisheries</strong> where<br />

stocks fluctuate independently <strong>of</strong> fishing effort, <strong>management</strong> for traditional sustained-yield type objectives is inappropriate. While<br />

<strong>the</strong>re have been many studies attempting to elucidate <strong>the</strong> mechanisms for environmentally-induced fishery fluctuations, <strong>the</strong>re have<br />

been fewer studies <strong>of</strong> <strong>the</strong> consequences <strong>of</strong> such variability for fisherfolks’ livelihoods, and for <strong>the</strong> design <strong>of</strong> appropriate fishery<br />

<strong>management</strong> regimes. A study <strong>of</strong> <strong>the</strong> livelihood strategies <strong>of</strong> fisherfolk involved in <strong>the</strong> important <strong>fisheries</strong> for small pelagic species in<br />

Lake Malawi is used to make <strong>the</strong> case for <strong>management</strong> that supports opportunistic exploitation <strong>of</strong> fluctuating resources by enabling<br />

geographical and occupational mobility. Livelihood sustainability and resource conservation are best served by support for such<br />

flexible strategies. The interdependence <strong>of</strong> fishing and o<strong>the</strong>r sectors <strong>of</strong> <strong>the</strong> rural economy suggests that policies and development<br />

interventions aimed at raising fishermen’s incomes without addressing <strong>the</strong> wider context <strong>of</strong> rural poverty are unlikely to be<br />

successful or sustainable. Species-based <strong>fisheries</strong> <strong>management</strong> and development focused on <strong>the</strong> fishing enterprise would benefit<br />

from re-conceptualisation within a broader natural resource <strong>management</strong> and rural livelihoods framework.<br />

Introduction<br />

Many <strong>fisheries</strong> resources fluctuate dramatically from year to year due to climactic variability (e.g. Glantz, 1992;<br />

Bakun, 1998). There has long been widespread recognition that constant catch or constant effort approaches to<br />

<strong>management</strong>, based on <strong>the</strong> paradigm <strong>of</strong> an achievable optimum sustainable yield, are inappropriate for <strong>the</strong>se types <strong>of</strong><br />

fishery (e.g. Beddington & May, 1977; Larkin, 1977).<br />

The problem <strong>of</strong> variability in <strong>fisheries</strong>, and consequent uncertainty in future stock size estimates can be dealt with in<br />

one <strong>of</strong> two ways. Variability can be regarded as random ‘noise’ that obscures underlying steady-state dynamics, or<br />

its causes and patterns can be investigated, and <strong>the</strong> results <strong>of</strong> <strong>the</strong>se investigations incorporated into understanding, if<br />

not predicting, future stock and harvest levels.<br />

Although different <strong>fisheries</strong> are known to have very different patterns <strong>of</strong> catch series, <strong>the</strong>re have been few attempts<br />

to classify <strong>fisheries</strong> according to extent and patterns <strong>of</strong> variability. Caddy & Gulland (1983) classified <strong>fisheries</strong> as<br />

steady, cyclical, irregular and occasional. This latter category denotes so called ‘boom and bust’ stocks that sustain<br />

important <strong>fisheries</strong> episodically before disappearing for decades or even for centuries. More recently, <strong>the</strong>re have<br />

been attempts at formal statistical classifications <strong>of</strong> patterns <strong>of</strong> variation in catch or biomass time-series (Spencer &<br />

Collie, 1998) and to link patterns <strong>of</strong> variation with fish life-history parameters (Kawasaki, 1983). This work has<br />

interesting implications for <strong>fisheries</strong> <strong>management</strong>, as it suggests that different <strong>management</strong> targets may be<br />

appropriate for different fishery types.<br />

Interpreting <strong>the</strong> different categories <strong>of</strong> <strong>fisheries</strong> in terms <strong>of</strong> <strong>the</strong> factors that could drive different patterns <strong>of</strong><br />

variability (DeAngelis & Waterhouse, 1987) suggests that steady and cyclical <strong>fisheries</strong> are likely to be driven<br />

primarily by biotic interactions (e.g. stock-recruitment relationships and catch-effort relationships). Irregular and<br />

occasional stocks could be ei<strong>the</strong>r chaotic systems driven by strong biotic interactions (feedbacks), or systems where<br />

biotic interactions are relatively unimportant, and abiotic factors are <strong>the</strong> main influence on stock dynamics. If <strong>the</strong><br />

latter explanation for <strong>the</strong> dynamic behaviour <strong>of</strong> fluctuating stocks is accepted, <strong>management</strong> based on regulation <strong>of</strong><br />

biotic interactions (e.g. <strong>the</strong> effect <strong>of</strong> harvesting effort on future stock size) is much less relevant.<br />

This paper sets out to examine whe<strong>the</strong>r certain <strong>fisheries</strong> in Africa’s Inland waters are strongly influenced by climatic<br />

fluctuations, such that <strong>the</strong> use <strong>of</strong> <strong>management</strong> based on standard equilibrium fishery models may be problematic.<br />

The paper <strong>the</strong>n explores <strong>the</strong> fishery implications <strong>of</strong> climate-driven stock fluctuations, through analysis <strong>of</strong><br />

fisherfolks’ livelihood strategies in Malawi, derived from both primary fieldwork and published information.


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Finally, <strong>the</strong> paper draws out some preliminary policy and <strong>management</strong> implications <strong>of</strong> <strong>the</strong>se observed livelihood<br />

strategies. These implications are framed against a context where <strong>fisheries</strong> policy and <strong>management</strong> in Malawi is<br />

undergoing a transition from centralised state-led <strong>management</strong> towards community-based or co-<strong>management</strong> (Sholtz<br />

et al., 1998; Allison et al. 2001).<br />

Africa's inland <strong>fisheries</strong><br />

Fish protein has made up approximately one fifth <strong>of</strong> <strong>the</strong> animal protein consumed in Africa since 1961 (FAO, 1996).<br />

However, <strong>the</strong> contribution from inland waters has risen from less than 25 per cent in 1951 to 41 per cent <strong>of</strong> domestic<br />

fish production in 1994. In absolute terms, inland <strong>fisheries</strong> production has soared from 250 000 tonnes in 1950 to<br />

almost 1 500 000 (FAO, 1996).<br />

In recent years, Africa's inland <strong>fisheries</strong> have produced <strong>the</strong> majority <strong>of</strong> fish consumed in many African countries and<br />

almost all <strong>of</strong> that consumed in Mali, Chad and East Africa (Figure 1). Africa's inland <strong>fisheries</strong> are important not only<br />

as a source <strong>of</strong> food, but as a source <strong>of</strong> employment and income for resource poor families. They are exploited almost<br />

entirely by artisanal fishing communities in predominantly rural areas. In 1996 FAO estimated that <strong>the</strong> number <strong>of</strong><br />

canoes operated by artisanal fishers in Africa's inland waters had increased by 40 per cent in <strong>the</strong> preceding decade<br />

and that most freshwater <strong>fisheries</strong> were intensively exploited.<br />

" As fishing effort continues to respond to <strong>the</strong> growing demand for fish, proper inland <strong>fisheries</strong> <strong>management</strong> is<br />

becoming more and more urgent." (FAO, 1996: 10-36).<br />

‘Proper <strong>fisheries</strong> <strong>management</strong>’ in this context has usually meant <strong>management</strong> for equilibrium production targets<br />

such as maximum sustainable yield, with measures to achieve <strong>the</strong>se targets enforced by <strong>the</strong> State (e.g., for Lake<br />

Malawi, Tweddle & Magasa, 1989; FAO, 1993; GOM, 1999).<br />

While <strong>fisheries</strong> <strong>management</strong> in Africa shows an increasing interest in community and co-<strong>management</strong> strategies<br />

(e.g. Normann, Nielsen & Sverdrup-Jensen, 1998), <strong>the</strong>se approaches too, are <strong>of</strong>ten based on unjustified assumptions<br />

about static equilibria and livelihoods based entirely on fishing. These assumptions lead to uncritical promotion <strong>of</strong><br />

territorial use rights in undifferentiated and idealised constructs <strong>of</strong> a ‘community’ united by fishing interests (Allison<br />

& Ellis, 2001). The assumption in both cases is that fish yields can be both optimised and stabilised by better<br />

<strong>management</strong>. This does not allow for <strong>the</strong> possibility that optimal strategies may be opportunistic and ‘unstable’ in<br />

<strong>the</strong> conventional sense.<br />

Figure 1: Inland fish production as a proportion <strong>of</strong> fish supply available per caput in sub-Saharan Africa,<br />

1994 (Adapted from FAO, 1996).


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Climate and fishery fluctuations in Africa’s inland waters<br />

Conventional <strong>fisheries</strong> <strong>management</strong> in industrialised countries over <strong>the</strong> last 40 to 50 years has been based directly,<br />

or conceptually, on <strong>the</strong> Gordon-Shaefer bioeconomic equilibrium model and its derivatives (Figure 2). This model<br />

proposes an equilibrium between catch and fishing effort, so that fishing effort can be regulated to achieve a<br />

maximum sustainable yield (FMSY), maximum economic yield (FMEY) and related targets. Failure to regulate fishing<br />

effort is thought to lead to a situation where fishing effort tends towards <strong>the</strong> point where economic returns from <strong>the</strong><br />

fishery equal <strong>the</strong> costs <strong>of</strong> exploiting <strong>the</strong> resource – <strong>the</strong> ‘open access equilibrium’ (FOAE). If signals <strong>of</strong> resource<br />

scarcity are distorted or masked by subsidies to <strong>the</strong> fishing industry (in <strong>the</strong> forms <strong>of</strong> grants for modernising fishing<br />

technology, compensation for poor fishing seasons etc), <strong>the</strong>n fishing effort can even exceed <strong>the</strong> open access<br />

equilibrium, possibly leading to stock extinction.<br />

Although <strong>the</strong> Gordon-Shaefer model provides an elegant and persuasive overview <strong>of</strong> how a fishery bioeconomic<br />

system works, it has been extensively criticised for failing to provide <strong>the</strong> basis for successful <strong>fisheries</strong> <strong>management</strong>.<br />

There are many practical difficulties with <strong>the</strong> model: it is difficult to identify <strong>the</strong> target reference points until <strong>the</strong>y<br />

have been exceeded; it is difficult to dis-aggregate <strong>the</strong> models in <strong>fisheries</strong> where one stock is fished by many fleets,<br />

or one fleet fishing many stocks; and it is based on catch and effort data that are <strong>of</strong>ten unreliable (Hilborn &<br />

Walters, 1992). There are also <strong>the</strong> <strong>the</strong>oretical difficulties with <strong>the</strong> equilibrium assumptions, outlined in Section 2,<br />

above. All <strong>the</strong>se problems have led some to question whe<strong>the</strong>r <strong>the</strong> model itself, as well as <strong>the</strong> fishery <strong>management</strong><br />

systems that are built on its basis, may not be appropriate to some <strong>fisheries</strong> - particularly those that fluctuate<br />

extensively (e.g. Sarch & Allison, 2000).<br />

How applicable are bioeconomic equilibrium (or surplus-production) models to African Inland <strong>fisheries</strong>? Three <strong>of</strong><br />

<strong>the</strong> most important aquatic production systems in inland Africa are shallow <strong>lake</strong>s, river floodplains, and <strong>the</strong> pelagic<br />

zones <strong>of</strong> large <strong>lake</strong>s. It is also <strong>the</strong> <strong>fisheries</strong> <strong>of</strong> <strong>the</strong>se systems that undergo <strong>the</strong> most pronounced climate-induced<br />

fluctuations (Kalk, McLachlan & Howard-Williams, 1979; Plisnier, 1997; Sarch & Birkett, 2000). By contrast,<br />

<strong>fisheries</strong> based on longer-lived, larger sized fish in demersal ecosystems in many <strong>of</strong> <strong>the</strong> larger and deeper African<br />

<strong>lake</strong>s seem more likely to fit with prevailing notions <strong>of</strong> equilibrium dynamics and <strong>the</strong> conventional fish stock<br />

<strong>management</strong> approaches based on <strong>the</strong>m. There is a reasonable body <strong>of</strong> evidence suggesting that <strong>fisheries</strong> are<br />

significantly impacting productivity in <strong>the</strong>se latter systems (reviewed in Pitcher & Hart, 1995), which is not <strong>the</strong> case<br />

for <strong>the</strong> more variable <strong>fisheries</strong> we consider in this paper.<br />

Malawi, and <strong>the</strong> African Lakes region more generally, contain important examples <strong>of</strong> all <strong>the</strong>se types <strong>of</strong> fishery<br />

system, although river floodplain <strong>fisheries</strong> are poorly documented in <strong>the</strong> region. In this paper, we use Lake Chilwa<br />

and <strong>the</strong> pelagic <strong>fisheries</strong> <strong>of</strong> Lake Tanganyika to illustrate <strong>the</strong> possible influence <strong>of</strong> climate variability <strong>of</strong> <strong>fisheries</strong> in<br />

shallow <strong>lake</strong>s and <strong>the</strong> pelagic zones <strong>of</strong> <strong>the</strong> Great Lakes, respectively.<br />

Figure 2: The Gordon-Shaefer bioeconomic equilibrium model (Gordon, 1954; Shaefer, 1954) as a basis<br />

for <strong>fisheries</strong> <strong>management</strong>.


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Lake level fluctuations and <strong>fisheries</strong> at Lake Chilwa<br />

Africa’s shallow <strong>lake</strong>s are among <strong>the</strong> most productive fishery ecosystems in <strong>the</strong> tropics (Talling & Lemoalle, 1998).<br />

They are also prone to periodic <strong>lake</strong> level fluctuation, even to complete drying out in low-rainfall years. Most inland<br />

water ecosystems (with <strong>the</strong> exception <strong>of</strong> <strong>the</strong> African Great Lakes) are young, in geological and evolutionary terms,<br />

with an adaptable, resilient flora and fauna. They are, in a sense, pre-adapted to cope with a degree <strong>of</strong> humaninduced<br />

change (Moss, 1992). This resilience is a feature not <strong>of</strong>ten emphasised in <strong>fisheries</strong> analyses, typically preoccupied<br />

with stability as a <strong>management</strong> objective (Shepherd, 1991).<br />

Lake Chilwa is in many ways typical <strong>of</strong> <strong>the</strong> shallower African Lakes. The Lake has recently fluctuated around 1850<br />

km 2 including both open-water and wetland areas, is less than 3 m deep, and is subject to extreme fluctuations,<br />

including complete desiccation (Lancaster, 1979). In good years, fish catches can be as high as 25 000 tonnes<br />

(fishery statistics are ra<strong>the</strong>r uncertain and vary between sources) and more than 10 000 people are engaged in fishing<br />

activities. There was a major increase in fishing effort around <strong>the</strong> early 1970s, as <strong>the</strong> region became better integrated<br />

into <strong>the</strong> market economy. Minor recessions in <strong>lake</strong> level, sufficient to reduce fishing for one or two years, can be<br />

expected every six years or so (see Figure 3). Major recessions which will interfere with fishing in <strong>the</strong> open <strong>lake</strong> for<br />

3-5 years can be expected every 60-70 years, with a possibility <strong>of</strong> an intermediate recession in 30-40 years<br />

(Lancaster, 1979). The last drying episode covered <strong>the</strong> period from late 1994 to 1996, when fishing ceased<br />

altoge<strong>the</strong>r. Fishing operations started again in April 1997 (GOM, 1999).<br />

Catch (metric tonnes)<br />

25000<br />

20000<br />

15000<br />

10000<br />

5000<br />

0<br />

1960 1965 1970 1975 1980 1985 1990 1995 2000<br />

Figure 3. Catch fluctuations (shaded bars) and <strong>lake</strong> level variations in Lake Chilwa, Malawi 1962-1998.<br />

Note also that <strong>the</strong> <strong>lake</strong> gauging system was changed in 1989, and <strong>the</strong> <strong>lake</strong> level measurements from this<br />

period onwards may not be directly comparable with those in previous years (lower apparent amplitude <strong>of</strong><br />

fluctuation). Fisheries data from Department <strong>of</strong> Fisheries, GOM (1999); Lake Level Data from<br />

Environmental Affairs Department (2000).<br />

Climate and <strong>fisheries</strong> in <strong>the</strong> pelagic zones <strong>of</strong> <strong>the</strong> African Great Lakes<br />

The <strong>fisheries</strong> for small pelagic fish in Africa’s Great Lakes are among <strong>the</strong> most important on <strong>the</strong> continent,<br />

supplying dried fish (variously known as kapenta, usipa, dagaa or omena according to species and region) to<br />

markets throughout much <strong>of</strong> East and central/sou<strong>the</strong>rn Africa. Anecdotal evidence, oral histories, ecosystem and<br />

environment studies and government fishery statistics all support <strong>the</strong> notion that <strong>of</strong> <strong>the</strong>se small clupeids and<br />

cyprinids fluctuates extensively from year to year, in response to climate-driven variations in primary and secondary<br />

biological productivity (Tweddle & Lewis, 1990; Allison et al., 1995; Plisnier, 1997).<br />

12.0<br />

10.0<br />

8.0<br />

6.0<br />

4.0<br />

2.0<br />

0.0<br />

Lake level (m)


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An important study by Plisnier (1997) documents <strong>the</strong> relationship between fluctuations in stock size (measured by<br />

proxy as variations in commercial purse-seine CPUE) and <strong>the</strong> Sou<strong>the</strong>rn Oscillation Index (Figure 4), demonstrating<br />

<strong>the</strong> important link between stock size and climate variations in pelagic <strong>fisheries</strong>. Evidence <strong>of</strong> climate-productivity<br />

links in Lake Malawi’s pelagic <strong>fisheries</strong> are based on less extensive data, but imply a link between wind-stress,<br />

upwelling, and fish production (Tweddle & Lewis, 1990; Allison et al., 1995; Irvine et al., 2001).<br />

CPUE Anomaly (Tonnes/boat)<br />

0.60<br />

0.50<br />

0.40<br />

0.30<br />

0.20<br />

0.10<br />

0.00<br />

-0.10<br />

-0.20<br />

-0.30<br />

1976<br />

1977<br />

1978<br />

1979<br />

1980<br />

1981<br />

1982<br />

1983<br />

1984<br />

1985<br />

1986<br />

1987<br />

1988<br />

1989<br />

1990<br />

1991<br />

1992<br />

1993<br />

1994<br />

Figure 4. The relationship between stock abundance anomalies <strong>of</strong> small pelagic fish (clupeids) in<br />

Nor<strong>the</strong>rn Lake Tanganyika (�), measured as <strong>the</strong> differences from <strong>the</strong> long-term average in Catch per unit<br />

<strong>of</strong> fishing effort by <strong>the</strong> Bujumbura-based industrial purse-seine fishery in Nov-Jan, and <strong>the</strong> Sou<strong>the</strong>rn<br />

Oscillation Index or ‘El Niño effect’ (�) in <strong>the</strong> previous Feb-March. The correlation coefficient <strong>of</strong> 0.62 is<br />

highly significant. (Redrawn from Plisnier, 1997).<br />

Given <strong>the</strong> highly variable rainfall and wind regime in sub-Saharan Africa (Conway, in press) and <strong>the</strong> evidence for<br />

existence <strong>of</strong> strong climate-fish production relationships, <strong>the</strong>re is case to made for <strong>fisheries</strong> research and<br />

<strong>management</strong> agencies to incorporate fish production-climate linkages in <strong>the</strong>ir programmes. These could provide<br />

more relevant scientific information than <strong>the</strong> current efforts at estimating parameters for use in single-species<br />

steady-state fishery assessment models.<br />

While <strong>the</strong>re has been significant recent interest (if not formal research) in understanding <strong>the</strong> causes <strong>of</strong> variability in<br />

<strong>the</strong>se <strong>fisheries</strong>, <strong>the</strong>re has been little published work on <strong>the</strong> consequences <strong>of</strong> that variability for those involved in<br />

catching, processing, distribution, sale and consumption <strong>of</strong> fish. It is this gap in <strong>management</strong>-related research that<br />

we aim to address through work on <strong>the</strong> livelihood strategies <strong>of</strong> fisherfolk dependent on fluctuating resources.<br />

The livelihoods approach and research methodology<br />

The origins <strong>of</strong> <strong>the</strong> livelihoods approach<br />

The livelihoods approach has its origins partly in a literature concerned with understanding <strong>the</strong> differential capability<br />

<strong>of</strong> rural families to cope with crises such as droughts, floods, or plant and animal pests and diseases. This literature<br />

focuses attention on <strong>the</strong> assets <strong>of</strong> rural people, and how different patterns <strong>of</strong> asset holding (land, stock, food stores,<br />

savings etc.) can make big differences to <strong>the</strong> ability <strong>of</strong> families to withstand shocks (Swift, 1989). This set <strong>of</strong><br />

concerns also links to <strong>the</strong> concept <strong>of</strong> vulnerability; defined as a high degree <strong>of</strong> exposure to risk, shocks and stress<br />

and proneness to food insecurity (Chambers, 1989; Davies, 1996). Vulnerability has <strong>the</strong> dual aspect <strong>of</strong> external<br />

threats to livelihood security due to risk factors such a climate, markets or sudden disaster; and internal coping<br />

capability determined by assets, food stores, support from kin or community, or government safety net policies.<br />

4.0<br />

3.0<br />

2.0<br />

1.0<br />

0.0<br />

-1.0<br />

-2.0<br />

-3.0<br />

-4.0<br />

Sou<strong>the</strong>rn Oscillation Index


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The approach also borrows ideas from an ecological literature concerned with <strong>the</strong> sustainability <strong>of</strong> ecosystems or<br />

agroecological systems (Holling, 1973; Conway, 1987). Here, sustainability is defined as “<strong>the</strong> ability <strong>of</strong> a system to<br />

maintain productivity in spite <strong>of</strong> a major disturbance, such as is caused by intensive stress or a large perturbation”<br />

(Conway, 1985). The concepts <strong>of</strong> resilience and sensitivity as livelihood attributes also originate in this context<br />

(Bayliss-Smith, 1991). Resilience refers to <strong>the</strong> ability <strong>of</strong> an ecological or livelihood system to “bounce back” from<br />

stress or shocks; while sensitivity refers to <strong>the</strong> magnitude <strong>of</strong> a system’s response to an external disturbance. It<br />

follows from <strong>the</strong>se ideas that <strong>the</strong> most robust livelihood system is one displaying high resilience and low sensitivity;<br />

while <strong>the</strong> most vulnerable displays low resilience and high sensitivity. These ideas are relevant to fishery-based<br />

livelihoods, as will become apparent in due course.<br />

The concept <strong>of</strong> ‘a livelihood’ seeks to bring toge<strong>the</strong>r <strong>the</strong> critical factors that affect <strong>the</strong> vulnerability or strength <strong>of</strong><br />

individual or family survival strategies. These are thought to comprise, chiefly, <strong>the</strong> assets possessed by people, <strong>the</strong><br />

activities in which <strong>the</strong>y engage in order to generate an adequate standard <strong>of</strong> living and to satisfy o<strong>the</strong>r goals such as<br />

risk reduction, and <strong>the</strong> factors that facilitate or inhibit different people from gaining access to assets and activities.<br />

These considerations result in <strong>the</strong> following definition <strong>of</strong> a livelihood (Ellis, 2000, p.10):<br />

“A livelihood comprises <strong>the</strong> assets (natural, physical, human, financial and social capital), <strong>the</strong> activities, and <strong>the</strong><br />

access to <strong>the</strong>se (mediated by institutions and social relations) that toge<strong>the</strong>r determine <strong>the</strong> living gained by <strong>the</strong><br />

individual or household.”<br />

The livelihoods approach is typically set out in <strong>the</strong> form <strong>of</strong> a framework that brings toge<strong>the</strong>r <strong>the</strong> principal<br />

components that are thought to comply with <strong>the</strong> livelihoods definition, as well as demonstrating <strong>the</strong> interactions<br />

between <strong>the</strong>m. There are many different diagrammatic representations <strong>of</strong> this framework (e.g. Carney, 1998;<br />

Scoones, 1998; Reardon & Vosti, 1995). Here, <strong>the</strong> framework is summarised in tabular form (Table 1).<br />

The reference social scope <strong>of</strong> this framework is typically considered to be <strong>the</strong> extended household, including<br />

members who are away from home but send remittances back to <strong>the</strong> resident homestead. The starting point <strong>of</strong> <strong>the</strong><br />

framework are <strong>the</strong> assets owned, controlled, claimed, or in some o<strong>the</strong>r means accessed by <strong>the</strong> household (column A<br />

in Table 1). The livelihoods framework recognises five main asset categories, comprising physical capital<br />

(sometimes also called produced capital or economic capital); natural capital (land, trees, fish stocks etc); human<br />

capital (people, education and health); financial capital (savings, credit); and social capital (kinship networks,<br />

associations).<br />

Access to both assets and activities is enabled or hindered by <strong>the</strong> policy and institutional context <strong>of</strong> livelihoods,<br />

including social relations, institutions and organisations (column B). It is also affected by external factors,<br />

sometimes referred to as <strong>the</strong> vulnerability context, comprising trends and shocks that are outside <strong>the</strong> control <strong>of</strong> <strong>the</strong><br />

household (column C). Assets permit livelihood strategies to be constructed, and <strong>the</strong>se are composed <strong>of</strong> a portfolio<br />

<strong>of</strong> activities, some <strong>of</strong> which may be natural resource based and o<strong>the</strong>rs not so (column E). Finally, this framework<br />

points to outcomes <strong>of</strong> livelihood strategies, distinguished here between livelihood security effects and environmental<br />

sustainability effects (column F).<br />

The livelihoods <strong>of</strong> artisanal fisherfolk are readily described by this type <strong>of</strong> framework. In this instance, key assets<br />

are fishing gears (boats and nets), although many artisanal fishers may also possess land and combine fishing with<br />

farming (Bailey & Pomeroy, 1996). The policy and institutional context <strong>of</strong> artisanal fishing includes, but is not<br />

limited to, <strong>the</strong> role <strong>of</strong> state regulations and ‘community’ based rules that affect access to resources. Social relations<br />

can also determine who has access to fishing opportunities (e.g. <strong>the</strong> ethnicity <strong>of</strong> fishing families may differ from<br />

o<strong>the</strong>r families in coastal communities, and roles within fishing activities are <strong>of</strong>ten strongly gender-differentiated).<br />

Fishing families are no less prone than o<strong>the</strong>r rural dwellers to adverse events and trends, with natural fluctuations in<br />

fish stocks being especially critical for <strong>the</strong>m. Finally, fishing families <strong>of</strong>ten engage in diverse activities in order to<br />

achieve livelihood security – an important attribute that we will return to in <strong>the</strong> context <strong>of</strong> <strong>fisheries</strong> <strong>management</strong>.


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Table 1: A framework for micro policy analysis <strong>of</strong> rural livelihoods (modified from Ellis, 2000, p 30).<br />

A B C D E F<br />

Livelihood Access In context Resulting Composed With effects<br />

platform modified by <strong>of</strong> in <strong>of</strong> on<br />

social relations<br />

gender trends livelihood security<br />

class population NR based activities income level<br />

age migration fishing income stability<br />

assets ethnicity technological change cultivation (food) seasonality<br />

relative prices cultivation (non-food) degrees <strong>of</strong> risk<br />

natural capital macro policy livestock<br />

national econ trends nonfarm NR<br />

physical capital institutions world econ trends<br />

rules & customs<br />

Livelihood<br />

human capital<br />

land and sea tenure<br />

Strategies<br />

financial capital markets in practice<br />

shocks non-NR based<br />

social capital<br />

organisations<br />

storms<br />

recruitment failures<br />

rural trade<br />

o<strong>the</strong>r services<br />

rural manufacture<br />

env. sustainability<br />

soils & land quality<br />

associations<br />

NGOs<br />

local admin<br />

diseases<br />

civil war<br />

remittances<br />

o<strong>the</strong>r transfers<br />

water<br />

fish stocks<br />

forests<br />

state agencies biodiversity<br />

Fishing livelihoods research in Malawi<br />

The livelihoods approach is utilised in many different ways, according to <strong>the</strong> goal <strong>of</strong> <strong>the</strong> study or programme. In<br />

development practice, it is being used as a ‘process’ tool to enable participants in development programmes to<br />

identify key constraints and opportunities for development intervention (Ashley & Carney, 1999). In this paper, we<br />

use <strong>the</strong> livelihoods approach as a conceptual tool to interpret published literature on Lake Chilwa <strong>fisheries</strong>, and as a<br />

primary research tool to understand <strong>the</strong> livelihoods <strong>of</strong> people engaged in small-scale fishing on <strong>the</strong> shores <strong>of</strong> Lake<br />

Malawi.<br />

Livelihoods research utilises a range <strong>of</strong> existing methodologies in <strong>the</strong> social and economic sciences, and can<br />

essentially be regarded as a framework to organise <strong>the</strong>se methodologies in such a way as to reduce sectoral and<br />

disciplinary biases. The research methods used for Lake Malawi include combination <strong>of</strong> qualitative and quantitative<br />

techniques.<br />

Assets were determined at household level by administration <strong>of</strong> questionnaires drawn from survey methods used in<br />

agricultural economics. Relatively small sample-sizes were used (typically 40 households per village) to ensure that<br />

data quality was maintained and good relationships between enumerators and respondents could be fostered. The<br />

small sample sizes also meant that each questionnaire could be verified by return visits to households if necessary.<br />

Sample selection was based on stratification following wealth ranking (based on people’s self-defined criteria), to<br />

ensure that poorer households are included in <strong>the</strong> research. Based on people's own definition <strong>of</strong> wealth, three<br />

categories emerged, namely (a) <strong>the</strong> well to do (wopeza bwino), (b) <strong>the</strong> better <strong>of</strong>f (wopeza bwinno pang'ono) and (c)<br />

<strong>the</strong> poor (wosauka). The criteria depend a lot on who has what and who does not have what. The well to do, were<br />

people that had some form <strong>of</strong> capital that enabled <strong>the</strong>m to engage in some productive activities like fishing and<br />

small-scale businesses. They were said to have enough food, live in good houses, own some livestock and could<br />

afford to send <strong>the</strong>ir children to school. The poor were said to be lacking in most things and <strong>the</strong>y did not have<br />

anything to enable <strong>the</strong>m to engage in pr<strong>of</strong>itable productive activities. They <strong>of</strong>ten did not have enough food and had<br />

poor housing.<br />

Three sites were purposely selected along <strong>the</strong> shores <strong>of</strong> Lake Malawi. The sites were Msaka in <strong>the</strong> Sou<strong>the</strong>rn Region<br />

district <strong>of</strong> Mangochi, Lifuu in Salima (Central Region) and Tukombo in Nkhata Bay (Nor<strong>the</strong>rn Region).<br />

A range <strong>of</strong> qualitative tools drawn from Rapid and Participatory Rural Appraisal (RRA/PRA) and institutional<br />

analysis were used to investigate how access to assets is modified by social relations, institutions and organisations.<br />

These included wealth ranking, focus groups, key informant interviews, institutional mapping and ranking <strong>of</strong><br />

organisations’ effectiveness. Trends and shocks were analysed by documenting experiences described in focus


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group discussions, <strong>the</strong> use <strong>of</strong> relevant secondary social and economic data and <strong>the</strong> analysis <strong>of</strong> <strong>the</strong> political and<br />

macro-economic context (Allison et al., 2001).<br />

Resultant livelihood strategies were described through analysis <strong>of</strong> income sources (including gifts, remittances and<br />

exchanges) from household questionnaires, and <strong>the</strong> decision-making processes that lead to choice or adoption <strong>of</strong><br />

<strong>the</strong>se strategies were explored at both intra-household and village-level.<br />

Although <strong>the</strong> household questionnaires can provide only a ‘snapshot’ <strong>of</strong> current livelihood strategies, this was<br />

complemented by qualitative investigation <strong>of</strong> dynamic change, pursued though semi-structured interviews and focus<br />

group sessions, and through documentation <strong>of</strong> individual life-stories.<br />

Effects <strong>of</strong> chosen, or enforced, strategies on both livelihood security and environmental sustainability were<br />

investigated through existing monitoring systems, such as district and national production statistics and indicators <strong>of</strong><br />

poverty or well-being.<br />

The research aims to investigate institutional factors that block or enhance people’s ability to pursue a sustainable<br />

livelihood so that policy and development intervention can address <strong>the</strong>se constraints and opportunities.<br />

Livelihoods analysis in Malawi – results<br />

Lake Chilwa livelihoods<br />

Kalk et al. (1979) <strong>of</strong>fer an interesting insight into livelihood responses to fishery fluctuation during <strong>the</strong> 1960s and<br />

1970s at a time <strong>of</strong> gradual transition from quasi-subsistence to a partial cash economy in this area <strong>of</strong> Malawi. This<br />

insight does not appear to have been transferred to current fishery <strong>management</strong> initiatives. The <strong>fisheries</strong> <strong>of</strong> Lake<br />

Chilwa <strong>of</strong>fer an economically unstable environment, determined by <strong>the</strong> seasonal and long-term fluctuations in <strong>lake</strong><br />

level. Yet, at high production periods, <strong>the</strong> <strong>fisheries</strong> permitted readily earned cash, with “a substantial number <strong>of</strong><br />

men gained an income five or more times greater than that prevailing for unskilled or agricultural labour” (Chipeta,<br />

1972). In good years, Lake Chilwa supplies almost half <strong>the</strong> total fish production in Malawi, where fish is said to<br />

supply around 70% <strong>of</strong> animal protein in <strong>the</strong> diets <strong>of</strong> 12 million people (GOM, 1999).<br />

Fishing in Malawi is largely a business, not a subsistence activity (Ferguson et al., 1993). Management that<br />

constrains access to fish in productive periods constrains income-generating opportunities, denies people access to<br />

much-needed protein and serves no conservation purpose in a <strong>lake</strong> where <strong>the</strong> sustainable yield concept is obviously<br />

untenable. And yet, despite wide-spread acceptance that <strong>fisheries</strong> <strong>management</strong>, in its traditional guise <strong>of</strong> stock<br />

conservation measures, is inappropriate, <strong>the</strong>re have been recent measures to introduce fishery closures to allow<br />

recovery after drying periods (even though recovery in <strong>the</strong> past has been rapid). Various gear and mesh-size<br />

restrictions have also been introduced, apparently at <strong>the</strong> behest <strong>of</strong> fishing communities around <strong>the</strong> <strong>lake</strong>, who<br />

participate in an evolving co-<strong>management</strong> scheme with <strong>the</strong> Fisheries Department (Sholtz et al., 1998).<br />

Work reviewed by Agnew (1979) and Agnew & Chipeta (1979) provide a useful baseline from which to review <strong>the</strong><br />

likely choices available to people in <strong>the</strong> latest drying episode, and how <strong>the</strong>se might have been impacted by new<br />

<strong>management</strong> initiatives. These authors summarise <strong>the</strong> short-term choices <strong>of</strong> fishermen during <strong>the</strong> <strong>lake</strong>-drying period<br />

<strong>of</strong> 1967-68 as: 1) fishing on a very much reduced scale in <strong>the</strong> remaining swamps, streams and lagoons in <strong>the</strong> Chilwa<br />

catchment, 2) transfer to nearby Lakes Malombe, Malawi or Chiuta, 3) increasing <strong>the</strong> cultivation <strong>of</strong> rice, cotton,<br />

cassava and vegetables 4) a switch over to commercial handicrafts such as plaiting carpets, 5) spending considerable<br />

time trapping birds and digging for rodents or 6) seeking employment elsewhere. These responses varied according<br />

to income status, asset pr<strong>of</strong>iles, ethnicity and time <strong>of</strong> residence in <strong>the</strong> area.<br />

In <strong>the</strong> drying episode <strong>of</strong> 1968, around 200 fishermen migrated to nearby Lake Malombe, and o<strong>the</strong>rs moved to Lake<br />

Malawi. These were among <strong>the</strong> richest fishermen, whose investment in fishing-related assets meant that <strong>the</strong>y could<br />

not simply cease fishing, as could those with a lower stake in this source <strong>of</strong> livelihood. Since <strong>the</strong> introduction <strong>of</strong><br />

community-based <strong>management</strong> in Lake Malombe and Sou<strong>the</strong>rn Lake Malawi (Sholtz et al. 1998, Chirwa, 1998), <strong>the</strong><br />

option to move fishing operations between <strong>lake</strong>s is constrained. That this may also prevent Malombe’s fishermen<br />

from migrating to Chilwa in productive years, <strong>the</strong>reby relieving pressure on this intensely exploited <strong>lake</strong>, does not<br />

appear to have been explicitly considered.


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The repercussions <strong>of</strong> recession in Lake Chilwa waters and consequent decline <strong>of</strong> fishing are much wider than on<br />

fishing alone. The whole <strong>of</strong> <strong>the</strong> Chilwa plains and <strong>lake</strong> must be seen as an economic network. Not only are <strong>the</strong>re<br />

links between fishing and various ancillary services, but also complementary flows <strong>of</strong> income between fishing and<br />

farming. The successful fishermen had larger gardens and produced more cash crops than o<strong>the</strong>r fishermen (Phipps<br />

1973). Recognition that <strong>the</strong>re is an “integrated small-scale economy <strong>of</strong> farming, fishing and cattle-rearing” (Kalk,<br />

1979; p15) does not seem to have led to any specific policy support for <strong>the</strong>se diversified livelihoods. Instead,<br />

sectoral concerns for <strong>the</strong> sustainability <strong>of</strong> individual natural resource systems have prevailed, even when it is known<br />

that notions <strong>of</strong> resource sustainability are questionable. “The Chilwa fishes are clearly well fitted to persist in <strong>the</strong><br />

unpredictable Chilwa ecosystem, provided <strong>the</strong> refugium <strong>of</strong> swamps and streams is maintained”, according to Moss,<br />

(1979, p411), with Kalk (1979, p431) adding: “Man must remain as generalised in activity as <strong>the</strong> <strong>lake</strong> fauna in order<br />

to succeed in <strong>the</strong> Chilwa area”.<br />

Moss (1979) also cautions that more dangerous than overfishing in this resilient system were threats to <strong>the</strong> swamps<br />

through ‘reclamation’ for agriculture or perhaps as irrigation reservoirs, siltation through changes in catchment land<strong>management</strong>,<br />

and pesticides. It is <strong>the</strong>se threats that have led to recent interest in environmental <strong>management</strong> in <strong>the</strong><br />

Chilwa wetland, and its designation as a Ramsar site. (Environmental Affairs Department, 2000).<br />

The EAD report reiterates <strong>the</strong> perceived resilience <strong>of</strong> <strong>the</strong> system. However, in an analysis <strong>of</strong> <strong>fisheries</strong> issues (EAD,<br />

2000, Table 5.2), <strong>the</strong> report highlights “Ignorance, Poverty, Corruption, Migratory fishermen and Lack <strong>of</strong><br />

Resources” as barriers to sustainable utilisation <strong>of</strong> fishery resources, and recommends <strong>the</strong> implementation <strong>of</strong><br />

“community-based natural resource <strong>management</strong> for <strong>the</strong> benefit <strong>of</strong> <strong>the</strong> local people”. There is clearly some<br />

difficulty in accepting that migration may be a legitimate and sustainable strategy to maximise benefits from a<br />

fluctuating resource, a factor that needs to be taken into account in <strong>the</strong> design <strong>of</strong> any community-based <strong>management</strong><br />

scheme.<br />

The mobility and livelihood flexibility <strong>of</strong> <strong>the</strong> fishing families making <strong>the</strong>ir living on <strong>the</strong> shores <strong>of</strong> Lake Chilwa in<br />

<strong>the</strong> 1970s enabled <strong>the</strong>m to respond to <strong>the</strong> extreme fluctuations observed. These were not mere ‘coping strategies’,<br />

but represent active opportunism – adaptations aimed at maximising <strong>the</strong> contribution <strong>of</strong> fishing to household<br />

incomes. It is not particularly useful to talk <strong>of</strong> <strong>the</strong> fish stocks as sustainable in <strong>the</strong> context <strong>of</strong> this level <strong>of</strong> ‘natural’<br />

fluctuation. Around Lake Chilwa, <strong>the</strong>re are large-scale shifts from fishing to farming, pastoralism and o<strong>the</strong>r occupations<br />

when <strong>the</strong> <strong>lake</strong> dries out (and back to fishing when it refills). Such strategies highlight <strong>the</strong> importance <strong>of</strong> enhancing or<br />

maintaining <strong>the</strong> flexibility <strong>of</strong> <strong>lake</strong>shore livelihoods ra<strong>the</strong>r than constraining it with fixed <strong>fisheries</strong> production quotas,<br />

seasons or areas.<br />

Livelihoods on <strong>the</strong> Lake Malawi shoreline<br />

In Malawi, usipa (Engraulicypris sardella) is found throughout <strong>the</strong> <strong>lake</strong>, but only supports substantial <strong>fisheries</strong> in<br />

inshore areas (Thompson et al., 1996; Thompson & Allison, 1997). These <strong>fisheries</strong> are mainly artisanal and carried<br />

out using chilimira seines set by two canoes or small ‘plank boats’. The fishery takes place mainly at night with<br />

light attraction. There is also a substantial daytime beach-seine fishery, <strong>of</strong>ten for juveniles. Landings statistics are<br />

thought to be unreliable and to underestimate <strong>the</strong> true importance <strong>of</strong> <strong>the</strong> fishery, which may reach 50 000 tonnes in<br />

good years (Tweddle & Lewis, 1990). The <strong>fisheries</strong> are known to fluctuate extensively, with fishers able to identify<br />

and refer to ‘good’ and ‘bad’ years for usipa. These seem to be linked to interannual differences in productivity<br />

(Tweddle & Lewis, 1990) which in turn are generated by variations in <strong>the</strong> strength <strong>of</strong> upwelling caused by variations<br />

in wind stress (Allison et al., 1995).<br />

Usipa are marketed largely in sun-dried form and, toge<strong>the</strong>r with <strong>the</strong> small pelagic species <strong>of</strong> o<strong>the</strong>r African <strong>lake</strong>s,<br />

contribute significantly to dietary protein throughout Central and Sou<strong>the</strong>rn Africa. The fishery is quite seasonal, and<br />

exploitation <strong>of</strong> ‘usipa’ is likely to form only part <strong>of</strong> <strong>the</strong> livelihoods <strong>of</strong> those catching it. Coupled with its interannual<br />

variability, this makes this species a useful case-study <strong>of</strong> a fluctuating fishery.<br />

Results from <strong>the</strong> survey show that livelihood diversification and mobility are key factors enabling fishers to ‘track’<br />

resource fluctuations in time and space. People along <strong>the</strong> Lake diversify in a number <strong>of</strong> activities including fishing,<br />

farming and different types <strong>of</strong> small-scale businesses.<br />

This type <strong>of</strong> movement has been adapted for sometime by fishers tracking a 'fluctuating resource'. In <strong>the</strong> case <strong>of</strong> <strong>the</strong><br />

usipa this has led to <strong>the</strong> establishment <strong>of</strong> special relations with people in different beaches. There are two types <strong>of</strong><br />

movements on Lake Malawi, ei<strong>the</strong>r long-term or short term. Long-term movement refers to fishers that have moved


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from <strong>the</strong>ir original homes and have established a permanent camp elsewhere. These <strong>of</strong>ten do not have access to land<br />

and thus rely solely on fish and to some extent small-scale business. With short-term movement fishers move in<br />

search <strong>of</strong> fish but operate from <strong>the</strong>ir original homes, only establishing temporary camps. Maintaining access to land,<br />

<strong>the</strong>y are able to return to farming during poor fishing periods. The map below shows <strong>the</strong> movement <strong>of</strong> fishers<br />

around Lifuu beach in Salima District.<br />

These strategies are well established and accepted around <strong>the</strong> Lake shore villages, where migrant fishers are seldom<br />

regarded as problematic, but are ra<strong>the</strong>r seen to bring benefits in <strong>the</strong> form <strong>of</strong> increased trade and economic activity in<br />

<strong>lake</strong> shore villages. Reciprocal access to fishing ‘beaches’ for landing catch and mending nets etc., may be more<br />

important to fishing-dependent communities than claims for territorial exclusivity <strong>of</strong> <strong>the</strong> type encouraged by efforts<br />

to promote community-based <strong>management</strong> (e.g. Sholtz et al. 1998). Such studies are urgently required around <strong>the</strong><br />

o<strong>the</strong>r African Great Lakes, if <strong>the</strong> laudable move towards co-<strong>management</strong> is to develop models for fishery<br />

<strong>management</strong> that reinforce sustainable livelihood strategies. There is a danger that <strong>the</strong> idealised concepts <strong>of</strong> villageowned<br />

fishing grounds currently being promoted don’t fit with <strong>the</strong> ecology <strong>of</strong> <strong>the</strong> fish or <strong>the</strong> livelihoods <strong>of</strong> <strong>the</strong><br />

fishers.<br />

Discussion<br />

The evidence for climate-induced fluctuations in <strong>the</strong> <strong>fisheries</strong> <strong>of</strong> shallow <strong>lake</strong>s, and for small pelagic fish in <strong>the</strong><br />

African Great Lakes indicate that <strong>the</strong> <strong>management</strong> <strong>of</strong> <strong>the</strong>se stocks needs to be informed by an understanding <strong>of</strong> how<br />

fishers, distribution chains and markets cope with fluctuating supplies. Most research on fluctuating stocks has been<br />

targeted at understanding in detail <strong>the</strong> mechanisms causing fluctuation in stock size. This is <strong>the</strong> study <strong>of</strong> fish


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recruitment processes and <strong>the</strong> environmental factors driving <strong>the</strong>m (e.g. Cushing, 1996). There has been much less<br />

emphasis on <strong>the</strong> study <strong>of</strong> <strong>the</strong> responses <strong>of</strong> fishers to stock size fluctuations (Allison & Ellis, 2001).<br />

Review <strong>of</strong> secondary data from <strong>the</strong> Lake Chilwa area, and preliminary analysis <strong>of</strong> primary fieldwork on <strong>the</strong> shores<br />

<strong>of</strong> Lake Malawi both reveal <strong>the</strong> importance <strong>of</strong> livelihood diversity and geographical mobility as livelihood strategies<br />

<strong>of</strong> artisanal fisherfolk. Mobility and diversity are required to sustain livelihoods when confronted with resource<br />

variability that is at least partially climate-induced. The Lake Chilwa case demonstrates that livelihood coping and<br />

optimisation strategies existed prior to introduction <strong>of</strong> both State-led and co- <strong>management</strong> systems. More recent<br />

information on <strong>the</strong> impact <strong>of</strong> <strong>fisheries</strong> <strong>management</strong> measures on livelihoods is lacking, but is currently being<br />

pursued by our research team.<br />

The results <strong>of</strong> our research in Malawi are in accord with findings in o<strong>the</strong>r developing countries, where several<br />

studies have suggested that fishers cope with fluctuations through geographical and occupational mobility (Bailey,<br />

1982; Haakonsen, 1992; Geheb & Binns, 1997; Sarch & Allison, 2000; Béné et al. 2000). Fisheries <strong>management</strong><br />

strategies which focus on optimal catch rates ignore both <strong>the</strong> role which inland <strong>fisheries</strong> play in <strong>the</strong> livelihoods <strong>of</strong><br />

many Africans and <strong>the</strong> inherent stock fluctuations which have shaped such livelihood strategies.<br />

Proposals to manage fluctuating <strong>fisheries</strong> need to be based on a better understanding <strong>of</strong> fisherfolk’s livelihood<br />

strategies. In <strong>fisheries</strong> where exploitation has little demonstrable impact on fish stocks, and productivity is closely<br />

linked with climate, it is not useful to talk about sustainable yields, or <strong>of</strong> fixed limits for fishing effort. Nei<strong>the</strong>r are<br />

community-based or co-managed territorial use rights, in <strong>the</strong> form <strong>of</strong> geographically fixed territories, useful for<br />

<strong>fisheries</strong> <strong>management</strong> in areas where <strong>lake</strong> or floodplain levels are highly variable, or where fishers have to track<br />

mobile pelagic resources to sustain <strong>the</strong>ir catch rates.<br />

In Malawi, realisation <strong>of</strong> <strong>the</strong> importance <strong>of</strong> fisherfolk’s mobility is leading to a move away from <strong>management</strong> based<br />

on beach village committees (Sholtz et al., 1998), towards larger spatial scales – <strong>lake</strong> <strong>management</strong> areas defined in<br />

terms <strong>of</strong> movements <strong>of</strong> range <strong>of</strong> operations <strong>of</strong> artisanal fishers, and on ecological criteria (Weyl, personal<br />

communication, 2001). The mechanisms for governance <strong>of</strong> <strong>the</strong>se <strong>lake</strong> spaces are still being discussed.<br />

It is relatively straightforward to outline what <strong>management</strong> approaches should not be taken, less easy to identify<br />

appropriate <strong>management</strong> support for sustainable livelihoods from fluctuating <strong>fisheries</strong>. While removing unnecessary<br />

impediments to sustainable opportunistic exploitation strategies is one important step, it may not be enough, given<br />

<strong>the</strong> increasing pressures on resources and livelihoods in Africa. Common property institutions that have evolved<br />

mechanisms, such as reciprocal access agreements between migrants, should be considered more appropriate than<br />

territory-based approaches as a way <strong>of</strong> implementing any effort-limitations deemed necessary. Even when<br />

embryonic and <strong>of</strong> limited functionality for resource conservation, such as in Malawi, such institutions can be built<br />

upon, ra<strong>the</strong>r than replaced by externally-conceived ‘perfect’ ones.<br />

Formal recognition, in national policy and legislation, <strong>of</strong> <strong>the</strong> legitimacy <strong>of</strong> opportunistic livelihood strategies,<br />

coupled with active removal <strong>of</strong> barriers to mobility and livelihood diversification would seem to be appropriate<br />

policy responses at national or district level. Active support for livelihood diversification (not <strong>the</strong> same as providing<br />

incentives for people to diversify out <strong>of</strong> fishing altoge<strong>the</strong>r) is ano<strong>the</strong>r <strong>management</strong> option.<br />

The apparently greater importance <strong>of</strong> climate, relative to fishing, in driving <strong>the</strong> dynamics <strong>of</strong> fish stocks in many <strong>of</strong><br />

Africa’s shallower wetlands (Sarch & Allison, 2000) also suggests that effort could be redirected at protecting<br />

wetland functions and broader ecosystem integrity and away from trying to manage fish stocks for sustainability.<br />

Management needs to lose its preoccupation with stability and gain an increased appreciation <strong>of</strong> resilience.<br />

‘Modern’ <strong>fisheries</strong> <strong>management</strong> has <strong>of</strong>ten consisted <strong>of</strong> setting stock conservation objectives, and <strong>the</strong>n finding means<br />

<strong>of</strong> modifying fishers’ behaviour or investment to fit <strong>the</strong>se objectives (Mahon, 1997). This has usually meant<br />

imposing closed seasons, closed areas, size limits, gear restrictions, access or ‘fishing effort’ restrictions. While<br />

<strong>the</strong>re has been concern for <strong>the</strong> effects <strong>of</strong> different regulatory options on fishing communities, <strong>the</strong>re has usually been<br />

little systematic research on <strong>the</strong>ir effects on fishers livelihoods. Fisheries <strong>management</strong> is becoming more<br />

consultative, and fishing communities now have greater participation in <strong>management</strong>, sometimes through co<strong>management</strong><br />

arrangements (Pomeroy & Berkes, 1997). There is still little systematic discussion <strong>of</strong> <strong>the</strong> effects <strong>of</strong><br />

different <strong>management</strong> options on livelihoods. There is a requirement for both participatory research to help to


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identify acceptable <strong>management</strong> solutions to fishery problems, and fur<strong>the</strong>r studies <strong>of</strong> livelihoods to understand how<br />

fishers cope with and react to both inherent fluctuations and changing externalities.<br />

Acknowledgements<br />

We thank Olaf Weyl and <strong>the</strong> staff <strong>of</strong> NARMAP for <strong>the</strong>ir help and organisational support, and for allowing us to<br />

incorporate our dissemination workshop within <strong>the</strong> National Fisheries Management Symposium. This research is<br />

funded under <strong>the</strong> Fisheries Management Science Programme <strong>of</strong> <strong>the</strong> U.K. Department for International Development<br />

(project number R7336). We also thank Terri Sarah, for contributions to a related paper (Sarah & Allison, 2000).<br />

The opinions presented in this paper are our own, and do not necessarily represent those <strong>of</strong> DFID.<br />

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Swift, J. 1989. Why Are Rural People Vulnerable to Famine? IDS Bulletin 20(2): 8-15.<br />

Talling, J. F. & Lemoalle, J. 1998. Ecological Dynamics <strong>of</strong> Tropical Inland Waters. Cambridge: Cambridge University Press.<br />

Thompson, A. B. & Allison, E. H. 1997. Potential Yield Estimates <strong>of</strong> Unexploited Pelagic Fish Stocks in Lake Malawi.<br />

Fisheries Management and Ecology 4: 31-48.


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Thompson, A. B., Allison, E. H. & Ngatunga, B. P. 1996. Distribution and Breeding Biology <strong>of</strong> Offshore Pelagic Cyprinidae and<br />

Catfish in Lake Malawi/Niassa. Environmental Biology <strong>of</strong> Fishes 47: 27-42.<br />

Tweddle, D. & Magasa, J. H. 1989. Assessment <strong>of</strong> Multispecies Cichlid Fisheries <strong>of</strong> <strong>the</strong> Sou<strong>the</strong>ast Arm <strong>of</strong> Lake Malawi, Africa.<br />

Journal du Conseil International pour l’Exploration de la Mer 45: 209-222.<br />

Tweddle, D. & Lewis D. S. C. 1990. The Biology <strong>of</strong> Usipa (Engraulicypris sardella) in Relation to Fluctuations in Productivity <strong>of</strong><br />

Lake Malawi and Species Introductions, pp 67-72. In T. J. Pitcher and C. E. Hollingworth (eds.) Collected Reports on<br />

Fisheries Research in Malawi. Occasional Papers 1. London: Overseas Development Administration.


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An overview <strong>of</strong> indigenous knowledge as applied to natural resources<br />

<strong>management</strong><br />

E.Y. Sambo 1 and R. Woytek 2<br />

1 University Office, University <strong>of</strong> Malawi, P.O. Box 278, Zomba, Malawi<br />

2 Operational Quality and Knowledge Services, Africa Region, The World Bank, 1818 H Street, NW, Washington, DC 20433, USA<br />

Abstract<br />

Historically, rural communities have acquired detailed knowledge, skills and strategies based on <strong>the</strong>ir interaction with <strong>the</strong> local<br />

environment over long periods <strong>of</strong> time. Local techniques and practices, which are essentially subsistence-oriented and are distinct to<br />

a particular social group and culture, have been developed and built up over centuries <strong>of</strong> experience and adaptation and are<br />

generally in harmony with <strong>the</strong> environmental conditions and responsive to constraints. This stock <strong>of</strong> knowledge is communicated in<br />

local languages and handed down from generation to generation. It is an expression <strong>of</strong> African tradition, rich in intricacies. When<br />

properly understood, this indigenous knowledge (IK) demonstrates how communities appreciate <strong>the</strong>ir environment and constantly<br />

seek to live in harmony with nature. Often this knowledge expresses itself and is communicated through songs, taboos, totem<br />

animals, custom laws and practices, place names and nicknames, riddles and proverbs.<br />

Indigenous knowledge permeates <strong>the</strong> social structure. It may have been influenced by innovations emerging from within itself, from<br />

o<strong>the</strong>r indigenous systems or from external systems but it essentially evolved locally. It is <strong>the</strong> basis for local-level decision-making in<br />

agriculture, food security, natural resource <strong>management</strong>, and a host <strong>of</strong> o<strong>the</strong>r activities in <strong>the</strong> rural communities. IK, <strong>the</strong>refore, deals<br />

with folk beliefs, skills, methods and practices. Some <strong>of</strong> <strong>the</strong> practices have led to mis<strong>management</strong> <strong>of</strong> resources, some are less<br />

efficient than modern technologies, while IK is generally less precise as measured by international science. IK, however, <strong>of</strong>fers<br />

insights into possible alternative approaches to interpreting environmental and development change.<br />

Previously, external solutions <strong>of</strong>fered in natural resource <strong>management</strong> projects <strong>of</strong>ten failed because <strong>the</strong>y did not fit with <strong>the</strong> local<br />

knowledge and circumstances. It is now recognised that <strong>the</strong> local community's decisions to adopt or reject a new development<br />

project is strongly influenced by its existing skills, values and beliefs which are usually reflected in its indigenous knowledge.<br />

Although integration <strong>of</strong> IK in natural resources <strong>management</strong> may not be <strong>the</strong> ultimate answer in itself, <strong>the</strong>re is increasing recognition<br />

<strong>of</strong> <strong>the</strong> value <strong>of</strong> local knowledge in production systems and rural development. Rural people with <strong>the</strong>ir detailed, holistic, integrated<br />

knowledge <strong>of</strong> local ecosystems, are experts in <strong>the</strong>ir own right. Utilising IK in <strong>the</strong> development process requires identification,<br />

validation, documentation and integration.<br />

This paper advocates that <strong>the</strong> opportunity should be seized to utilise <strong>the</strong> available IK for <strong>the</strong> <strong>fisheries</strong> resource <strong>management</strong>, <strong>the</strong><br />

stabilisation <strong>of</strong> land-use activities in <strong>the</strong> catchment, <strong>the</strong> integrated monitoring programme <strong>of</strong> <strong>the</strong> <strong>lake</strong> ecosystem, and for <strong>the</strong> design<br />

<strong>of</strong> <strong>the</strong> institutional arrangements in <strong>the</strong> Lake Malawi Environmental Management Project.<br />

Introduction<br />

Renewable natural resources that are currently <strong>the</strong> subject <strong>of</strong> major impacts in Malawi include land, water, fish,<br />

wildlife and forests. Natural resource <strong>management</strong> poses major challenges as environmental degradation continues<br />

to worsen as a result <strong>of</strong> high population growth rate, poverty, low agricultural productivity, dwindling smallholder<br />

farmlands and escalating input prices, which collectively build up pressure on resource utilisation and exploitation.<br />

The discounted economic cost <strong>of</strong> soil erosion, deforestation, water resources degradation, <strong>fisheries</strong> depletion and<br />

biodiversity loss amounted to 10% <strong>of</strong> <strong>the</strong> GDP by 1994 and it represented a substantial income loss to <strong>the</strong> country<br />

(EAD 1998, p.9). This calls for innovative mechanisms that take into account <strong>the</strong> participation <strong>of</strong> all stakeholders in<br />

<strong>the</strong> natural resource <strong>management</strong> in order to arrest <strong>the</strong> declining situation.<br />

Historically, rural communities have acquired detailed knowledge, skills and strategies based on <strong>the</strong>ir interaction<br />

with <strong>the</strong> local environment over long periods <strong>of</strong> time. This stock <strong>of</strong> knowledge permeates <strong>the</strong> social structure and it<br />

is <strong>the</strong> basis for local-level decision-making in agriculture, food preparation, natural resource <strong>management</strong>, and a host<br />

<strong>of</strong> o<strong>the</strong>r activities in rural communities. It is an expression <strong>of</strong> African tradition, rich in intricacies. When properly<br />

understood, this Indigenous Knowledge (IK) demonstrates how communities appreciate <strong>the</strong>ir environment and<br />

constantly seek to live in harmony with nature. Often this knowledge expresses itself and is communicated through<br />

songs, taboos, totem animals, custom laws and practices, place names and nicknames, riddles and proverbs - all<br />

<strong>the</strong>se have a story to tell (Matusse, 1995). Indigenous knowledge, <strong>the</strong>refore, refers to history, cultural heritage, and<br />

customs as developed in direct response to <strong>the</strong> physical and social realities...and in <strong>the</strong> context <strong>of</strong> Africa, indigenous<br />

means what is African, or what Africa has learned and adopted from o<strong>the</strong>r societies (Chavunduka, 1995). One<br />

scholar says that a particularly striking "philosophy <strong>of</strong> <strong>the</strong> indigens is empathy, selflessness, service to o<strong>the</strong>r beings,<br />

unconditional caring, honesty, accountability, respect for all members <strong>of</strong> your society ...." (Nxumalo, 1995).<br />

Such a complex collection <strong>of</strong> knowledge, described as indigenous knowledge systems (IKS), ethnoscience or<br />

traditional wisdom (Kipuri 1995) evolves over time, has collective ownership and is communicated orally from one


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generation to <strong>the</strong> next. Before rural communities experienced any institutionalised foreign intervention, it is <strong>the</strong>se<br />

indigenous knowledge systems that have regulated <strong>the</strong> level <strong>of</strong> exploitation and utilisation <strong>of</strong> environmental<br />

resources and ensured <strong>the</strong>ir survival. The land and its resources belonged to <strong>the</strong> people, held in trust by <strong>the</strong> chief,<br />

and <strong>the</strong> chief had <strong>the</strong> <strong>management</strong> authority as regards access to <strong>the</strong> resource, permission for usage, period <strong>of</strong> usage<br />

and even levels <strong>of</strong> usage. Resource utilisation was effectively regulated since this system was embedded in<br />

traditional governance structures <strong>of</strong> <strong>the</strong> society that excluded challenging authority <strong>of</strong> <strong>the</strong> chief. In <strong>the</strong> post-colonial<br />

era, <strong>the</strong> traditional structures became weakened as a result <strong>of</strong> partial or complete transfer <strong>of</strong> authority over <strong>the</strong><br />

resource, to <strong>the</strong> different sectors <strong>of</strong> government.<br />

The United Nations Conference on Environment and Development (UNCED), commonly known as <strong>the</strong> Earth<br />

Summit, which convened in Rio de Janeiro in June 1992 adopted a global plan <strong>of</strong> action. The Agenda 21 is<br />

considered a blueprint for a global partnership aimed at reconciling <strong>the</strong> twin requirements <strong>of</strong> a high quality<br />

environment and a healthy economy for all peoples <strong>of</strong> <strong>the</strong> world. Chapter 26 <strong>of</strong> Agenda 21 "Streng<strong>the</strong>ning <strong>the</strong> Role<br />

<strong>of</strong> Indigenous People" provides a framework for recognising Indigenous Knowledge Systems (Box 1).<br />

Box 1. Streng<strong>the</strong>ning <strong>the</strong> Role <strong>of</strong> Indigenous People<br />

“Indigenous people, who represent a significant part <strong>of</strong> <strong>the</strong> world’s population, depend on renewable resources and<br />

ecosystems to maintain <strong>the</strong>ir well-being. Over many generations, <strong>the</strong>y have evolved a holistic, traditional scientific<br />

knowledge <strong>of</strong> <strong>the</strong>ir land, natural resources and environment. The ability <strong>of</strong> indigenous people to practise sustainable<br />

development on <strong>the</strong>ir lands has been limited by economic, social and historical factors. Governments should recognise<br />

that indigenous lands need to be protected from environmentally unsound activities, and from activities <strong>the</strong> people<br />

consider to be socially and culturally inappropriate. There should be national dispute-resolution procedures to deal with<br />

concerns about <strong>the</strong> settlement <strong>of</strong> land and use <strong>of</strong> resources. Some indigenous people may require greater control over<br />

<strong>the</strong>ir lands, and self <strong>management</strong> <strong>of</strong> <strong>the</strong>ir resources. They should also participate in development decisions that affect<br />

<strong>the</strong>m, and in <strong>the</strong> creation <strong>of</strong> protected areas, such as parks.<br />

Governments should incorporate <strong>the</strong> rights and responsibilities <strong>of</strong> indigenous people into national legislation. Countries<br />

could also adopt laws and policies to preserve customary practices, and protect indigenous property, including ideas<br />

and knowledge. Indigenous people should be allowed to actively participate in shaping national laws and policies on<br />

<strong>the</strong> <strong>management</strong> <strong>of</strong> resources or o<strong>the</strong>r development processes that affect <strong>the</strong>m. Governments and international<br />

organisations should recognise <strong>the</strong> values, traditional knowledge and resource <strong>management</strong> practices that indigenous<br />

people use to manage <strong>the</strong>ir environments, and apply this knowledge to o<strong>the</strong>r areas where development is taking place.<br />

They should also provide indigenous people with suitable technologies to increase <strong>the</strong> efficiency <strong>of</strong> <strong>the</strong>ir resource<br />

<strong>management</strong>.”<br />

Source: Keating (1993), Chapter 26<br />

The significance <strong>of</strong> traditional knowledge is also incorporated in <strong>the</strong> International Convention on Biodiversity (Box<br />

2). Previously, solutions <strong>of</strong>fered by some development projects failed because <strong>the</strong>y did not fit with <strong>the</strong> local<br />

knowledge and circumstances. Many organisations such as <strong>the</strong> World Bank and IUCN (International Union for<br />

Conservation <strong>of</strong> Nature and Natural Resources) have in <strong>the</strong> past decade began to directly address environmental<br />

issues through promoting environmental sustainability in <strong>the</strong>ir development efforts and emphasising country<br />

ownership (Asibey, 1995). It is now recognised that <strong>the</strong> local community's decisions to adopt or reject a new<br />

development project is strongly influenced by its existing skills, values and beliefs which are usually reflected in its<br />

indigenous knowledge. Thus, involvement <strong>of</strong> <strong>the</strong> community at all stages "is likely to improve project design by<br />

ensuring that full advantage is taken <strong>of</strong> <strong>the</strong> local technology and indigenous knowledge, and by ensuring that <strong>the</strong><br />

project is fully adapted to <strong>the</strong> social organisation and value systems <strong>of</strong> <strong>the</strong> community" (Matusse, 1995).<br />

Such a bottom-up approach empowers <strong>the</strong> community to take charge <strong>of</strong> resource <strong>management</strong> in development activities.<br />

It is to be admitted, however, that due to cultural hybridisation <strong>the</strong>re has been inevitable loss <strong>of</strong> IKS. In any case, during<br />

<strong>the</strong> colonial era, this knowledge was <strong>of</strong>ten regarded as primitive, scorned at, marginalised and dismissed as worthless<br />

(Matowanyika et al., 1995), so that preference towards being "modernised" or "westernised" has played a major role in<br />

eroding IKS. In addition, one <strong>of</strong> <strong>the</strong> biggest pitfalls is that most <strong>of</strong> African IKS remains unrecorded. It is, <strong>the</strong>refore,<br />

essential that researchers, extension agents and rural development experts study indigenous knowledge. Before imposing<br />

essentially foreign perspectives and technologies <strong>the</strong>ir appropriateness to <strong>the</strong> local setting should be examined.


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This paper advocates <strong>the</strong> utilisation <strong>of</strong> available IK in <strong>the</strong> Lake Malawi Environmental Management Project.<br />

Various studies undertaken in Malawi over <strong>the</strong> previous years suggest relevant IK is available for <strong>the</strong> <strong>fisheries</strong><br />

resource <strong>management</strong>, <strong>the</strong> stabilisation <strong>of</strong> land-use activities in <strong>the</strong> catchment, <strong>the</strong> integrated monitoring programme<br />

<strong>of</strong> <strong>the</strong> <strong>lake</strong> ecosystem, and for <strong>the</strong> design <strong>of</strong> <strong>the</strong> institutional arrangements <strong>of</strong> <strong>the</strong> programme.<br />

Box 2. Convention on Biological Diversity<br />

“The world’s biological diversity - <strong>the</strong> variability among living organisms - is valuable for ecological, genetic, social,<br />

economic, educational, cultural, recreational and aes<strong>the</strong>tic reasons. The diversity is important for evolution, and for<br />

maintaining <strong>the</strong> life-sustaining systems <strong>of</strong> <strong>the</strong> biosphere. The conservation and sustainable use <strong>of</strong> biological diversity<br />

are <strong>of</strong> critical importance to meet <strong>the</strong> food, health and o<strong>the</strong>r needs <strong>of</strong> <strong>the</strong> growing world population. However, biological<br />

diversity is being significantly reduced by certain human activities, and it is vital to anticipate, prevent and attack <strong>the</strong><br />

causes <strong>of</strong> this loss. Substantial investments are required to conserve biological diversity, but <strong>the</strong>y will pay <strong>of</strong>f with a<br />

broad range <strong>of</strong> environmental, economic and social benefits.<br />

The world needs to conserve biological diversity and make sustainable use <strong>of</strong> its components in a fair and equitable<br />

way. Sustainable use means use in a way and at a rate that does not lead to <strong>the</strong> long-term decline <strong>of</strong> biological<br />

diversity. This will maintain its potential to meet <strong>the</strong> needs and aspirations <strong>of</strong> present and future generations. The uses<br />

include those <strong>of</strong> genetic material, which is any plant, animal, microbial or o<strong>the</strong>r material containing functional units <strong>of</strong><br />

heredity. We also need to conserve ecosystems, which are groupings <strong>of</strong> living and non-living material that act as a unit.<br />

Countries have rights over <strong>the</strong>ir biological resources, but <strong>the</strong>y are also responsible for conserving <strong>the</strong>ir biological<br />

diversity and for using <strong>the</strong>ir biological resources in a sustainable manner…<br />

Many indigenous and local communities have a close dependence on biological resources, and nations should make<br />

use <strong>of</strong> this traditional knowledge <strong>of</strong> <strong>the</strong> conservation and sustainable use <strong>of</strong> biological diversity. Countries are to<br />

preserve and maintain such indigenous and local knowledge and promote its wider use. This is to be done with <strong>the</strong><br />

approval and involvement <strong>of</strong> those who have such knowledge, and <strong>the</strong>se people should benefit from <strong>the</strong> use <strong>of</strong> <strong>the</strong>ir<br />

practices….”<br />

Source: Keating (1993) p.66<br />

The scope <strong>of</strong> IK<br />

Indigenous knowledge encompasses local knowledge that is developed outside <strong>the</strong> formal systems <strong>of</strong> science and<br />

education. It is embedded in community practices and institutions. It is locally managed and unique to a given<br />

culture or society. IK includes all information, experiences and practices community members have acquired over<br />

time to maintain or improve <strong>the</strong>ir livelihoods, to produce and to engage in social, cultural, and productive activities,<br />

to cope with crises or to manage natural resources. Rural people with <strong>the</strong>ir detailed, holistic, integrated knowledge<br />

<strong>of</strong> local ecosystems, are experts in <strong>the</strong>ir own right. They are capable <strong>of</strong> classifying and structuring environmental<br />

data and knowledge using <strong>the</strong>ir own terminology <strong>of</strong> understanding environmental processes and developing skills<br />

and strategies. IK is not static but becomes modified as <strong>the</strong> learning process demands fine adjustments. The<br />

community uses IK as <strong>the</strong> basis for decision making in agriculture, health care, food preparation, education, naturalresource<br />

<strong>management</strong> and as a coping mechanism in general. IK is primarily tacit knowledge <strong>of</strong> communities,<br />

elders, women, farmers, healers, artisans, spiritual leaders, etc. As such, it is not easily codifiable (World Bank,<br />

1998).<br />

Traditional ecological knowledge, traditional technical knowledge and traditional practices enable people make<br />

choices in <strong>the</strong> use <strong>of</strong> natural resources. Facets <strong>of</strong> such knowledge systems and practices include: local soil and<br />

biodiversity classification, traditional hunting norms and regulations, traditional medicine (both human and ethnoveterinary),<br />

traditional institutions <strong>of</strong> chieftainship, community based land allocation (such as for sacred groves),<br />

agricultural production systems (such as slash and burn), informal savings society, etc. Such a knowledge base<br />

persists and defines <strong>the</strong> limits <strong>of</strong> local culture. Thus in order to maintain <strong>the</strong> culture, IK must first be shared.<br />

Various methods <strong>of</strong> exchanging IK exist, including: apprenticeship; artifacts; demonstration; story telling, myths,<br />

legends, taboos and songs; training etc. Secondly, IK must be used, developed and preserved. Because IK is<br />

primarily developed and communicated outside <strong>the</strong> formal systems <strong>of</strong> science and education, it is frequently<br />

overlooked in <strong>the</strong> development process.


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Rationale for integrating IK in development<br />

The resilience <strong>of</strong> IK as it gets passed on from generation to generation implies that it is a component <strong>of</strong> human and<br />

social capital. This suggests that <strong>the</strong> community has had <strong>the</strong> opportunity to decide on what values, practices and<br />

beliefs to maintain, on <strong>the</strong> premise that <strong>the</strong>re is general acceptance. Basically, community empowerment is achieved<br />

when choices are endogenous and any future activities based on such consensus are likely to be supported. In such<br />

situations, IK will increase efficiency and effectiveness, thus making IK a basis for sustainable development.<br />

It is important to recognise that communities can be helped to make better use <strong>of</strong> IK for development. This can only<br />

happen by first learning from <strong>the</strong>m (i.e. recognising and identifying <strong>the</strong> IK), validating, recording, documenting,<br />

storing it in a retrievable form, transfering it back to <strong>the</strong> communities, <strong>the</strong>n disseminating successes to a wider<br />

community, and finally promoting <strong>the</strong> exchange <strong>of</strong> <strong>the</strong> successful IK between communities. Learning from <strong>the</strong><br />

community and helping <strong>the</strong> community learn (a bottom-up approach) can lead to empowerment through enablement.<br />

The following approaches have proven to help in creating <strong>the</strong> environment for enablement:<br />

� exchange knowledge <strong>of</strong> local practices in order to build local knowledge networks;<br />

� engage researchers and experts in order to determine research agendas;<br />

� engage authorities in dialogue in order to enhance good governance;<br />

� dialogue with development partners in order to shape endogenous development agenda; and<br />

� leverage local and global knowledge in order to integrate IK in development.<br />

MAINSTREAMING IK INTO DEVELOPMENT ACTIVITIES<br />

The Policy Environment<br />

In <strong>the</strong> past, <strong>the</strong> value <strong>of</strong> harnessing global and local knowledge for development has not received <strong>the</strong> needed<br />

attention in developing countries in general and in Africa in particular. With <strong>the</strong> advent <strong>of</strong> Information and<br />

Communication Technologies this appears to be changing, especially since <strong>the</strong> early 1990’s. In Malawi, <strong>the</strong> National<br />

Science and Technology Policy and <strong>the</strong> draft Science and Technology Bill have been endorsed by stakeholders in<br />

May 2001. The S&T Policy provides for <strong>the</strong> identification, development, protection and promotion <strong>of</strong> IK. This will<br />

help move IK from <strong>the</strong> realm <strong>of</strong> folklore into <strong>the</strong> development domain.<br />

IK in Lake Malawi Environment Management Project (LMEMP)<br />

IK could be <strong>the</strong> most important resource <strong>of</strong> small-scale fishing and farming communities in <strong>the</strong> Lake Malawi basin.<br />

There is no o<strong>the</strong>r resource that is owned, controlled and managed to <strong>the</strong> same extent as IK. The proposed LMEMP<br />

<strong>of</strong>fers a unique opportunity to utilise <strong>the</strong> available IK for <strong>the</strong> <strong>fisheries</strong> resource <strong>management</strong>, <strong>the</strong> stabilisation <strong>of</strong><br />

land-use activities in <strong>the</strong> catchment, <strong>the</strong> integrated monitoring programme <strong>of</strong> <strong>the</strong> <strong>lake</strong> ecosystem, and <strong>the</strong> design <strong>of</strong><br />

<strong>the</strong> institutional arrangements.<br />

IK-related activities would identify options and formulate actions for integrating <strong>the</strong> IK in <strong>the</strong> <strong>management</strong> <strong>of</strong><br />

natural resources. It is a challenge in so far as <strong>the</strong> approach departs from <strong>the</strong> conventional practices <strong>of</strong> project<br />

implementation. The process will involve:<br />

making an inventory <strong>of</strong> actors, resources, publications;<br />

convening a national exchange involving researchers, NGOs, CBOs, local knowledge bearers, etc;<br />

determining areas <strong>of</strong> relevant IK for <strong>the</strong> LMEMP; and<br />

agreeing on action plan involving IK research, exchange and institutional arrangements.<br />

The expected outcomes and impact include:<br />

increased ownership <strong>of</strong> <strong>the</strong> <strong>management</strong> <strong>of</strong> <strong>the</strong> <strong>lake</strong> basin resource by local communities;<br />

higher productivity <strong>of</strong> <strong>the</strong> <strong>lake</strong> basin resources; and<br />

sustainable access to natural resources by communities.<br />

Conclusion<br />

There is a global recognition that indigenous knowledge has an important role to play in consonance with modern<br />

scientific and technological intervention in social and economic development and cultural and political<br />

transformation. IK is a valuable resource <strong>of</strong> <strong>the</strong> local community that needs to be used to <strong>the</strong> community’s<br />

advantage. Incorporating IK in <strong>the</strong> LMEMP will provide not only a testing ground but will also <strong>of</strong>fer an opportunity<br />

to understand and internalise IK in <strong>the</strong> development planning.


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Proceedings <strong>of</strong> a Regional Workshop, held in Midmar, Kwazulu-Natal Province, South Africa, 23-28 April,<br />

1995. IUCN-ROSA Indigenous Knowledge Systems Series No.2.<br />

Matusse, R. (1995). Indigenous people and people-centred development: Are we moving South to meet ourselves?<br />

Paper presented at <strong>the</strong> IUCN sponsored Workshop on Indigenous Knowledge Systems in Natural Resources<br />

Management in Sou<strong>the</strong>rn Africa. Held at Midmar, Kwazulu-Natal Province, South Africa, 23-28 April 1995.<br />

Nxumalo, O.E.H.M. (1995). Keynote address by Pr<strong>of</strong>essor O.E.H.M. Nxumalo: Indigenous knowledge systems and<br />

natural resource <strong>management</strong> in South Africa. Delivered to <strong>the</strong> Regional Workshop on <strong>the</strong> Study and<br />

Promotion <strong>of</strong> indigenous Knowledge Systems and natural Resources Management in Sou<strong>the</strong>rn Africa, at<br />

Fern Hill - Harwick, Natal Province, South Africa, 23-28 April 1995.<br />

World Bank. (1998). Indigenous Knowledge for Development: A Framework for Action. Knowledge and Learning<br />

Center, Africa Region, The World Bank.


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Decentralised environmental <strong>management</strong> and <strong>the</strong> implications for <strong>fisheries</strong> co<strong>management</strong><br />

in Lake Malawi<br />

John D. Balarin<br />

Chief Technical Advisor, Danida Environment Support Program, Pvt Bag 396, Lilongwe, Malawi, (tel 265-836533, e-mail:<br />

DESPS@<strong>malawi</strong>.net)<br />

Abstract<br />

Malawi has made a political commitment to decentralization through <strong>the</strong> recent appointment <strong>of</strong> <strong>the</strong> District Assemblies. Environment<br />

Management, has been decentralised since 1996. The Environment Act requires communities to participate actively at district level<br />

in State <strong>of</strong> <strong>the</strong> Environment Reporting (SOER) and Environmental Action Planning (EAP) and <strong>management</strong>. These processes have<br />

now become integral to <strong>the</strong> District Development Planning (DDP) system and are <strong>the</strong> responsibility <strong>of</strong> <strong>the</strong> Assemblies. Community<br />

consultation and participation is fundamental to <strong>the</strong> process. The resultant EAPs are implemented at target group level through<br />

micro-projects. As decentralised environmental <strong>management</strong> takes hold, communities will become better empowered to assess <strong>the</strong>ir<br />

own needs, to plan and act accordingly. In addition, <strong>the</strong> empowerment <strong>of</strong> <strong>the</strong> Assemblies as custodians <strong>of</strong> national laws through<br />

district by-laws will bring communities closer to policing and becoming resource managers. In addition, a degree <strong>of</strong> security <strong>of</strong><br />

tenure can be secured through <strong>the</strong> by-law and this may allow a socio-economic change in community behaviour from<br />

“hunter/ga<strong>the</strong>rer” to introduction <strong>of</strong> husbandry system options.<br />

This paper elucidates <strong>the</strong> SOER, EAP and DDP process, its implications for <strong>the</strong> BVCs and <strong>the</strong> future role <strong>of</strong> community participation<br />

in <strong>the</strong> co-<strong>management</strong> <strong>of</strong> Lake Malawi.<br />

Introduction<br />

With <strong>the</strong> election <strong>of</strong> Councilors and <strong>the</strong> formation <strong>of</strong> District Assemblies in late 2000, Malawi has taken a great step<br />

closer towards making community based natural resource <strong>management</strong> (CBNRM) a reality. CBNRM and<br />

decentralization are inextricably linked (Balarin et al. 2001) in as much as <strong>the</strong> latter transfers power for<br />

administration and <strong>management</strong> from a central level to a lower, more appropriate, district, or sub-district level.<br />

Decentralization strives, through consultative processes and popular participation to empower communities to<br />

become pro-active in <strong>the</strong> planning and decision making process <strong>of</strong> development, and advocates for change in policy.<br />

It also brings <strong>the</strong>m closer to being <strong>the</strong> custodians <strong>of</strong> <strong>the</strong> resource with self-imposed by laws and more secure access<br />

rights.<br />

Tools to achieve this are now in place, described in <strong>the</strong> Local Government Decentralization Strategy (OPC,<br />

1998)(LGDMP, 1999) and <strong>the</strong> Strategy for Decentralised Environmental Management (DEM)(EAD, 2000, 2001 a, b<br />

and c).<br />

The 1999 Fisheries and Aquaculture Policy <strong>of</strong> Malawi has “collaborative <strong>management</strong>” as one <strong>of</strong> its key objectives.<br />

Subsequent, subsidiary legislation for <strong>the</strong> first time in <strong>the</strong> history <strong>of</strong> <strong>fisheries</strong> development in Malawi, empowered<br />

communities through <strong>the</strong> Act, to formulate by-laws that can self-govern <strong>the</strong> <strong>management</strong> <strong>of</strong> <strong>the</strong> <strong>fisheries</strong> resources in<br />

<strong>the</strong>ir locality. It would be myopic to think that <strong>the</strong> <strong>fisheries</strong> legislation alone is adequate. To be successful, any<br />

<strong>fisheries</strong> natural resource <strong>management</strong> strategies would need to be coupled with decentralization, and include crosscutting<br />

elements from <strong>the</strong> recent trends in o<strong>the</strong>r sectors (notably forestry, wildlife, water, etc). The stage, is set, now<br />

more-so than before for Malawi to embark on some <strong>of</strong> <strong>the</strong> first steps towards <strong>fisheries</strong> co-<strong>management</strong>.<br />

CBNRM Defined<br />

Guiding Principles <strong>of</strong> CBNRM<br />

Some guiding principles for CBNRM are, in brief (adapted from COMPASS, 2000a):<br />

a. Communities should be prime beneficiaries and take <strong>the</strong> lead role, actively participating in identifying,<br />

planning and implementing CBNRM activities.<br />

b. CBNRM activities should be managed by democratically elected institutions or committees linked to <strong>the</strong><br />

local authority.<br />

c. Communities must develop clearly defined constitutions for <strong>the</strong>ir CBNRM institutions and establish bylaws<br />

for CBNRM in conformity with national policy.<br />

d. User groups and boundaries must be clearly defined with clear rights <strong>of</strong> access, lease or ownership.<br />

e. Natural resources should be treated as economic goods and any intervention should be seen to have<br />

tangible value added benefits to communities.


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f. CBNRM programs must be gender sensitive, promote equitable sharing <strong>of</strong> costs and benefits and be<br />

supportive <strong>of</strong> community priorities.<br />

Co-<strong>management</strong> vs CBNRM<br />

Most natural resources in Malawi are state owned and have largely been state regulated for <strong>the</strong> benefit <strong>of</strong> all present<br />

and future generations. However, in recognition that <strong>management</strong> initiatives that do not involve <strong>the</strong> resource users,<br />

is not sustainable, CBNRM strategies aim to place responsibility for resource <strong>management</strong> at <strong>the</strong> lowest appropriate<br />

level. A spectrum <strong>of</strong> co-<strong>management</strong> options emerge (Figure 1)(Balarin et al. 2001). Essentially, <strong>the</strong> current<br />

situation <strong>of</strong> 100 % state <strong>management</strong> <strong>of</strong> resources, should gradually giving way to progressively more resources<br />

coming under varying degrees <strong>of</strong> joint <strong>management</strong> between state and user, until eventually, for some resources, <strong>the</strong><br />

community is 100 % in control.<br />

Figure 1. Conceptual Diagram <strong>of</strong> <strong>the</strong> different stages <strong>of</strong> co-<strong>management</strong><br />

Husbandry vs Natural Resource Management<br />

The NEAP (1994) identified that <strong>the</strong> nexus to environmental degradation in Malawi is poverty and illiteracy.<br />

Because <strong>of</strong> poverty, foraging from natural resources has been a fundamental sustainable livelihood strategy,<br />

especially in times <strong>of</strong> need. CBNRM strategies should <strong>the</strong>refore not only aim at <strong>the</strong> sustainable <strong>management</strong> <strong>of</strong> <strong>the</strong><br />

status quo <strong>of</strong> ecosystems, (ie. cropping according to sustainable maximum yield), it should seek out sustainable<br />

economic benefit streams that <strong>of</strong>fer incentives to <strong>the</strong> user to diversify into alternative, value added uses or income<br />

generating activities. For CBNRM to succeed, extension strategies would have to introduce <strong>the</strong> resource user to<br />

knowledge <strong>of</strong> “best practices” <strong>of</strong> equal or better economic significance.<br />

Husbandry <strong>of</strong> <strong>the</strong> resource is one option capable <strong>of</strong> sustainable enhancement <strong>of</strong> production. To maintain <strong>the</strong> needs<br />

and pressures <strong>of</strong> growing human populations, implementation <strong>of</strong> CBNRM needs to bring about change in<br />

community behaviour. Communities need to change from present practices <strong>of</strong> hunter/ga<strong>the</strong>rer scenario, and move a<br />

socio-economic step forward to <strong>the</strong> next stage in evolution <strong>of</strong> husbandry systems (ie. <strong>the</strong> active farming <strong>of</strong><br />

resources) (see Figure 2)(Balarin et al. 2001).


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Figure 2. Conceptual diagram <strong>of</strong> evolution trends in natural resource husbandry.<br />

Institutional Framework<br />

History <strong>of</strong> National Environmental Legislative Framework<br />

The history <strong>of</strong> some <strong>of</strong> <strong>the</strong> more relevant steps in legislative and policy development that have had influence on<br />

environmental <strong>management</strong> and <strong>fisheries</strong> are as follows:<br />

• 1994: National Environmental Action Plan (NEAP)(Vol I and II)<br />

• 1996: Environment Management Policy<br />

• 1996: Environment Management Act<br />

• 1996: Decentralization Policy<br />

• 1997: Fisheries Conservation and Management Act<br />

• 1998: EIA Guidelines<br />

• 1998: Environment Support Program (ESP)<br />

• 1998: First National State <strong>of</strong> <strong>the</strong> Environment Report (SOER)<br />

• 1998: Local Government Act<br />

• 1999: Fisheries and Aquaculture Policy<br />

• 2000: Subsidiary legislation (Community by-laws)<br />

• 2000: First Lake Chilwa State <strong>of</strong> <strong>the</strong> Environment Report<br />

• 2000: First District SOERs<br />

• 2001: First Lake Chilwa Management Plan.<br />

• 2001: First District EAPs<br />

• 2001: Poverty Reduction Strategy Paper (PRSP)


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The NEAP was Malawi’s response to Rio 1992, and set <strong>the</strong> stage for <strong>the</strong> formulation <strong>of</strong> <strong>the</strong> Environment Policy and<br />

Act. The Environment Management Act <strong>of</strong> 1996 placed responsibility for environmental <strong>management</strong> at <strong>the</strong> district<br />

level. Environmental monitoring, through State <strong>of</strong> <strong>the</strong> Environment Reporting (SOER) every 2 years and<br />

development <strong>of</strong> mitigation measure through Environmental Action Planning (EAP) every 5 years, became <strong>the</strong><br />

responsibility <strong>of</strong> <strong>the</strong> Assemblies assisted by a Environment District Officer (EDO).<br />

The Environment Act established a clear role for <strong>the</strong> mainstreaming <strong>of</strong> in natural resource <strong>management</strong> (NRM) in<br />

<strong>the</strong> local government structures, notably <strong>the</strong> Assemblies, Area Development Committees (ADC), Village<br />

Development Committees (VDC), and associated community institutions. Environment Impact Assessment (EIAs)<br />

were also a legal requirement for all development projects and <strong>the</strong> EIA guidelines established community<br />

consultation as an essential part <strong>of</strong> <strong>the</strong> process. Despite <strong>the</strong> Decentralization Policy <strong>of</strong> 1996, it was however not<br />

until <strong>the</strong> Local Government Act <strong>of</strong> 1998 that decentralization became a national objective, to place administrative<br />

authority for natural resource <strong>management</strong> (NRM) at <strong>the</strong> lowest appropriate level. This became effective in<br />

November 2000, when local government elections lead to <strong>the</strong> formation <strong>of</strong> <strong>the</strong> District Assemblies.<br />

The legal and political framework is now in place to empower communities to take a more pro-active role in NRM.<br />

The Environment Act and Local Government Act have become integrated through <strong>the</strong> Environmental Affairs<br />

Department (EAD) strategy for decentralised environmental <strong>management</strong> (EAD 2000, 2001 a, b and c). SOERs and<br />

EAPs are now integral parts <strong>of</strong> <strong>the</strong> decentralised, District Development Planning (DDP) process (OPC, 1998).<br />

The District Development Planning Framework and Fisheries Co-<strong>management</strong><br />

In <strong>the</strong> various stages in <strong>the</strong> District Development Planning (DDP) process, Figure 3 (OPC, 1998), community<br />

participation is essential. The DDP cycle from situation analysis, preparation <strong>of</strong> a district socio-economic pr<strong>of</strong>ile<br />

(SEP) culminating in a District Development Planning Framework (DDPF) is synonymous with SOER. SOER is a<br />

process <strong>of</strong> information compilation and analysis and a tool for information dissemination for better planning and<br />

decision making. The process assists communities and planner alike to identify environmental problems, and to<br />

illustrate trends and spatial distribution <strong>of</strong> pressure, state and response indicators (EAD, 2001 a). Prioritization <strong>of</strong><br />

environmental concerns or hot spots, leads to <strong>the</strong> formulation <strong>of</strong> appropriate development objectives and strategies.<br />

The next stage <strong>of</strong> <strong>the</strong> cycle from identification <strong>of</strong> mitigating actions, development options and formulation <strong>of</strong> <strong>the</strong><br />

DDP, for <strong>the</strong> environment sectors, is synonymous with <strong>the</strong> DEAP. DEAPs are community decisions for mitigation<br />

or environmental <strong>management</strong> <strong>of</strong> problems. Communities decide for each priority environmental concern, <strong>the</strong><br />

action, by who, where, when and how (EAD, 2001 a.). Thereafter, once approved by <strong>the</strong> Assembly, DEAPs are<br />

implemented through community based environmental micro-projects and an element <strong>of</strong> participatory M&E is<br />

involved.<br />

In so much as <strong>the</strong> DDP process is consultative and community based, so are <strong>the</strong> preparation <strong>of</strong> SOERs and EAPs.<br />

The process is flexible. It can be applied as a “fast track”, a means to identify priority hot spots that need immediate<br />

intervention even before <strong>the</strong> SOER and DEAP process is complete. The SOER and DEAPs are divided into chapters<br />

by sector, and <strong>fisheries</strong> is dealt with as a separate Chapter. The first district based SOERs and DEAPs are now under<br />

active preparation. Table 1 summarizes <strong>the</strong> status for <strong>the</strong> <strong>fisheries</strong> sector around Lake Malawi.<br />

Table 1. Status <strong>of</strong> decentralised environmental <strong>management</strong> in Lake Malawi Districts<br />

District<br />

Year DESC<br />

Status <strong>of</strong> SOER Status <strong>of</strong> EAPs<br />

Formed DSOER ADC SOER DEAP ADC EAP<br />

Karonga 1999 Draft Final Draft Final<br />

Rumphi 2000 Draft underway Draft underway<br />

Likoma 2001 not started not started not started not started<br />

Nkhata Bay 1998 Draft underway Draft underway<br />

Nkotakota 2000 Draft underway Draft underway<br />

Salima 2000 Draft underway Draft underway<br />

Dedza 1998 Draft underway Draft underway<br />

Mangochi 1998 Draft underway Draft underway<br />

Key: DESC - District Environment Sub-Committee; DEAP - District Environmental Action Plan; DSOER -<br />

District State <strong>of</strong> <strong>the</strong> Environment Report; ADC - Area Development Committee


Figure 3. SOER and DEAP in relation to District Development Planning System<br />

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National Environment Management Framework and Fisheries Co-<strong>management</strong><br />

The framework document, <strong>the</strong> National Environment Policy <strong>of</strong> Malawi recognizes <strong>the</strong> importance <strong>of</strong> CBNRM and<br />

calls for “national, regional and district development plans to integrate environmental concerns, in order to improve<br />

environmental <strong>management</strong> and ensure sensitivity to local concerns and needs”.<br />

The DEM strategy (EAD, 2000 a) allows for community based plans, separated by sector, to feed upwards from<br />

community to VDC to ADC level and be consolidated into <strong>the</strong> DEAPs. DEAPs aggregate into <strong>the</strong> NEAP from<br />

which emerge sector investment programs (SIPS). All NRM SIPs are compiled into <strong>the</strong> Environment Support<br />

Program (ESP) and fur<strong>the</strong>r, are consolidated into <strong>the</strong> national Poverty Reduction Support Program (PRSP), <strong>the</strong><br />

umbrella document for all national plans and government budgeting (Fig 4 a and b).<br />

Likewise, <strong>the</strong> SOERs from communities, pass to VDC to ADCs and consolidated in <strong>the</strong> DSOERs, are similarly<br />

aggregate into <strong>the</strong> NSOER and become <strong>the</strong> M&E tool <strong>of</strong> <strong>the</strong> NEAP. The SOERs are reported by <strong>the</strong> Minister to<br />

parliament every year and <strong>the</strong>reby provide a powerful opportunity for communities and districts to communicate<br />

<strong>the</strong>ir concerns and needs to <strong>the</strong> highest policy and decision making level.<br />

The institutionalization <strong>of</strong> <strong>the</strong> SOER DEAP process as part <strong>of</strong> <strong>the</strong> tools <strong>of</strong> <strong>fisheries</strong> co-<strong>management</strong> would provide<br />

<strong>the</strong> sector with a powerful tool for communities to lobby at <strong>the</strong> highest level for resources.


Figure 4a. CBNRM and <strong>the</strong> PRSP (adapted from <strong>the</strong> PRSP working group).<br />

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Figure 4b. The national framework for integration <strong>of</strong> EAPs into <strong>the</strong> national Budget.


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National Institutional Framework for Environmental Management<br />

Strategic objectives to achieve CBNRM would be to ensure that <strong>the</strong> emerging local government structures at District<br />

Assembly, Area Development Committee (ADC), Wards and Village Development Committee (VDC), provide a<br />

logical institutional anchor point for community based organizations such a Beach Village Committees. CBNRM<br />

should <strong>the</strong>refore be seen as a mainstreamed role <strong>of</strong> local government, and fits within <strong>the</strong> existing institutional<br />

framework for decentralised environmental <strong>management</strong> (Figure 5), notably:<br />

• Parliament is <strong>the</strong> highest policy making authority and it is advised by a Parliamentary Committee on <strong>the</strong><br />

Environment (PCE) that serve as <strong>the</strong> watchdog <strong>of</strong> policy and <strong>the</strong> state <strong>of</strong> <strong>the</strong> environment.<br />

• The Ministry co-ordinates <strong>the</strong> implementation <strong>of</strong> policy, law enforcement and EIA inspections, establishing<br />

standards and maintains international representation, co-ordinating conventions and donor support. The<br />

Ministry is advised by <strong>the</strong> National Council on <strong>the</strong> Environment.<br />

• The various NRM departments administer policy directives, formulate national plans and policy, guiding<br />

<strong>the</strong> districts, provide capacity building support, facilitate EIAs and compile sector NSOERs and NEAPs. To<br />

co-ordinate <strong>the</strong>se sectors, national environmental focal points have been established and <strong>the</strong>re is a National<br />

Steering Committee <strong>of</strong> <strong>the</strong>se focal points, made up <strong>of</strong> <strong>the</strong> directors <strong>of</strong> each sector.<br />

• At district level, <strong>the</strong> Assemblies co-ordinate preparation <strong>of</strong> <strong>the</strong> SOERs and DEAPs, and facilitate <strong>the</strong><br />

implementation <strong>of</strong> micro-projects and awareness campaigns.<br />

• The Assembly is assisted by a District Environment Sub-Committee (DESC)(Figure 6) made up <strong>of</strong> focal<br />

points from each <strong>of</strong> <strong>the</strong> Technical Directorates, assisted by <strong>the</strong> EDO and anchored in <strong>the</strong> <strong>of</strong>fice <strong>of</strong> <strong>the</strong><br />

District Planning Director. They serve to prepare <strong>the</strong> SOERs and EAPs, train <strong>the</strong> ADCs and VDCs, oversee<br />

micro-projects and generally mainstream environmental <strong>management</strong> into all planning processes at all<br />

levels.<br />

• Environment <strong>management</strong> should be mainstreamed in <strong>the</strong> roles <strong>of</strong> all <strong>the</strong> ADCs, Wards and VDCs, all <strong>the</strong><br />

way down to <strong>the</strong> communities.<br />

Decentralization and Fisheries Management<br />

Fisheries <strong>management</strong> in Malawi suffers from a number <strong>of</strong> concerns (Mapila, 2001), amongst which are:<br />

• A poor track record <strong>of</strong> enforcement <strong>of</strong> <strong>the</strong> law.<br />

• Unrestricted access due to problem in allocating security <strong>of</strong> tenure.<br />

• Poor access to research knowledge by <strong>the</strong> user groups.<br />

• Slow take <strong>of</strong>f <strong>of</strong> aquaculture.<br />

• No national or regional coordination mechanism.<br />

Under <strong>the</strong> Local Government Act, envisaged is that Assemblies will establish by laws and that <strong>the</strong>se shall be<br />

extended all <strong>the</strong> way down through <strong>the</strong> subsidiary authorities to community level. In <strong>fisheries</strong>, <strong>the</strong> fishing<br />

communities could be governed by district by-laws which take <strong>the</strong>ir point <strong>of</strong> departure from <strong>the</strong> national law. The<br />

assemblies could mobilize <strong>the</strong>ir legal and administrative powers to:<br />

• Police <strong>the</strong> resource, monitor use patterns and enforce regulations through <strong>the</strong> district police system.<br />

• Policing by <strong>the</strong> Assembly, would free up <strong>the</strong> Fisheries Officer, allowing a change from a policeman role to<br />

becoming a friend <strong>of</strong> <strong>the</strong> community and a technical advisor whose sole purpose would be to impart<br />

knowledge to change fishermen’s behaviour.<br />

• District by laws could provide rights <strong>of</strong> access through allocation <strong>of</strong> lease rights to VDCs who pay lease<br />

fees based on limited entry licensing. They in turn through <strong>the</strong> BVCs, allocate resource use rights and<br />

police those rights through <strong>the</strong>ir constitutions. Security <strong>of</strong> tenure will ultimately lead to behaviour change<br />

and see <strong>the</strong> introduction <strong>of</strong> husbandry systems.<br />

• The Local Government Act empowers one or more Assemblies to come toge<strong>the</strong>r to form an Inter-district<br />

Committee for common resource <strong>management</strong> like Lake Malawi. This could be extended to provincial<br />

administration in neighbouring states.<br />

In <strong>the</strong> coming years, <strong>the</strong> Fisheries Department will have to embark upon a devolution strategy for <strong>the</strong> sector. Some<br />

<strong>of</strong> <strong>the</strong> above becomes food for thought.


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Figure 5. Institutional framework for <strong>the</strong> coordination <strong>of</strong> environmental <strong>management</strong>


Figure 6. Institutional framework for decentralised environmental <strong>management</strong>.<br />

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Implications for Fisheries Co-<strong>management</strong><br />

In conclusion, in <strong>fisheries</strong> <strong>the</strong> implications <strong>of</strong> decentralization are that <strong>the</strong> Beach Village Committees (BVC) now<br />

find an anchor point in <strong>the</strong> District Assembly for legal recourse to enforce <strong>the</strong>ir constitutions through district bylaws.<br />

In addition, access rights through leasehold becomes possible and this will bring with it a change in behaviour<br />

favouring a more husbandry type approach to <strong>management</strong>.<br />

In addition, <strong>the</strong> BVCs through participation in <strong>the</strong> SOER process are able to undertake a consultative situation<br />

analysis, to better understand <strong>the</strong>ir problems and to identify problem areas or environmental “hot spots” and bring<br />

<strong>the</strong>se to <strong>the</strong> attention <strong>of</strong> <strong>the</strong> authorities. SOERs are published as district reports, consolidated into national reports<br />

and presented to Parliament every year. This provides communities a powerful tool to lobby at <strong>the</strong> highest level for<br />

support. SOERs allow community prioritization <strong>of</strong> problems to be dealt with through EAPs.<br />

The participatory process <strong>of</strong> EAP preparation means that BVCs participate in planning and take ownership <strong>of</strong> <strong>the</strong>ir<br />

own remedial actions to mitigate against prioritized problems. Generally <strong>the</strong>se are expressed in <strong>the</strong> form <strong>of</strong><br />

environmental micro-projects and would be included in <strong>the</strong> DDPs. At an inter-district level, <strong>the</strong> 8 Districts<br />

surrounding Lake Malawi will be able to come toge<strong>the</strong>r and <strong>the</strong>ir combined DDPs would make up a coherent and<br />

comprehensive Lake Malawi Management Plan. A similar initiative has already been completed for Lake Chilwa.<br />

Under <strong>the</strong> Local Government Act, <strong>the</strong> 8 districts could form an inter-district committee to manage Lake Malawi.


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The DDPs provide <strong>the</strong> District Assemblies with a basis for seeking funding from government, donors and o<strong>the</strong>r<br />

agencies. Currently available to <strong>the</strong> Lake Malawi BVCs are potential environmental micro-project funds from<br />

Danida, World Bank, Malawi Environment Endowment Trust (MEET), COMPASS/USAID, EU and GTZ.<br />

Key References<br />

Balarin, J. D., Jensen, A. and Ndovi, W (2001) Developing CBNRM Planning and Implementation Tools.<br />

Proceedings, National conference to Develop CBNRM Strategic Plan for Malawi, COMPASS: 14 p.<br />

COMPASS (2000a) Workshop on Principles and Approaches for CBNRM in Malawi. COMPASS Document 10:<br />

100p (March 2000).<br />

COMPASS (2000b) Draft Strategic Plan for CBNRM in Malawi. Compass Document 23: 56p (November 2000).<br />

EAD (2000) Strategy for Decentralization <strong>of</strong> Environmental Management. EAD publication: 50p. (Draft October<br />

2000).<br />

EAD (2001a) Decentralised Environmental Management Manual. Vol. I: A guide to<br />

SOER, DEAP and micro-project preparation. EAD: 126p. (Draft January 2001).<br />

EAD (2001b) Decentralised Environmental Management Manual. Vol. II: Data Capture Tool for SOER. EAD<br />

publication: 75p. (Draft January 2001).<br />

EAD (2001c) Decentralised Environmental Management Manual. Vol. III: A guide to environmental micro-projects.<br />

EAD publication: .. p(in preparation, April 2001).<br />

LGDMP (1999) Village Action Planning Manual for AEC level facilitators. LGDMP publication:160p.<br />

Mapila, S. A. (2001) Towards Responsible Development <strong>of</strong> <strong>the</strong> Fisheries Sector in Malawi. Department <strong>of</strong> Fisheries:<br />

41 p.<br />

OPC (1998) District Development Planning Handbook. OPC publication:128p. (March 1998).


Status <strong>of</strong> <strong>the</strong> small scale fishery in Malawi<br />

Mackson J.R. Ngochera<br />

Fisheries Research Unit, P. O. Box 27, Monkey-bay.<br />

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Lake Malawi Fisheries Management Symposium - Proceedings<br />

Abstract<br />

Most <strong>of</strong> Malawi’s population is dependent on <strong>fisheries</strong> directly or indirectly as a source <strong>of</strong> food security, livelihood and income. Total<br />

catch in <strong>the</strong> recent years for <strong>the</strong> major water bodies, Lake Malawi, Lake Malombe, Lake Chiuta, Upper Shire and Lower Shire have<br />

declined from an average <strong>of</strong> 60 thousand metric tons in <strong>the</strong> period 1976-1990 to 49 thousand metric tons in 1991-1999. Over <strong>the</strong><br />

same period, <strong>the</strong> number <strong>of</strong> fishermen increased by 27%, similarly <strong>the</strong> number <strong>of</strong> fishing gears and fishing crafts has also increased.<br />

Introduction<br />

The fish stocks <strong>of</strong> Malawian waters are, undoubtedly among <strong>the</strong> most important natural resources <strong>of</strong> Malawi. Out <strong>of</strong><br />

<strong>the</strong> 120000 km 2 area covered by Malawi, 20% is water (Weyl, 2001). There is <strong>the</strong>refore little doubt that a large<br />

number <strong>of</strong> Malawi’s population depends directly or indirectly on <strong>the</strong> fishery as a source <strong>of</strong> food security, livelihood<br />

and income. The value <strong>of</strong> fish does not lie only in <strong>the</strong>ir scientific interest, but also in <strong>the</strong>ir primordial nutritional<br />

status. It is a known fact that fish provides some 70% <strong>of</strong> <strong>the</strong> animal protein consumed by Malawians (Mkoko 1992,<br />

cited by Ribbink (1994) and Turner (1994b)). Currently <strong>the</strong> fishery employs over 48 000 fishermen (Weyl et al.<br />

2000) and fish also contributes about 4% to <strong>the</strong> Gross National Product (GNP) <strong>of</strong> <strong>the</strong> country.<br />

However, it has been noticed in <strong>the</strong> recent years that fish catches in Malawi have declined. The reasons are: <strong>the</strong> ever<br />

increasing fishing effort in <strong>the</strong> shallow waters; <strong>the</strong> absence <strong>of</strong> alternative employment; <strong>the</strong> rapidly growing human<br />

population, which exerts an increased fish demand, on <strong>the</strong> overexploited stocks (Turner 1995) and <strong>the</strong> use <strong>of</strong><br />

destructive fishing gears.<br />

The aim <strong>of</strong> this report is to provide an account <strong>of</strong> <strong>the</strong> status <strong>of</strong> <strong>the</strong> different <strong>fisheries</strong> and fish stocks <strong>of</strong> <strong>the</strong> major<br />

water bodies <strong>of</strong> Malawi. In agreement with <strong>the</strong> current practices in <strong>fisheries</strong> <strong>management</strong> an attempt is made to<br />

apply <strong>the</strong> principles <strong>of</strong> <strong>the</strong> precautionary approach. The FAO Code <strong>of</strong> Conduct for Responsible Fisheries, adopted in<br />

1995 stipulates in article 7.5: “States should apply <strong>the</strong> precautionary approach widely to conservation, <strong>management</strong><br />

and exploitation <strong>of</strong> living aquatic resources in order to protect <strong>the</strong>m and preserve <strong>the</strong> aquatic environment. The<br />

absence <strong>of</strong> adequate scientific information should not be used as a reason for postponing or failing to take<br />

conservation and <strong>management</strong> measures.’’<br />

The findings presented in this report are based on catch-effort data collected by <strong>the</strong> Department <strong>of</strong> Fisheries during<br />

<strong>the</strong> 1976-1999 period. The data was used to calculate CPUE (Catch Per Unit Effort) and relative effort. In <strong>the</strong><br />

analysis <strong>of</strong> catch and effort data, standard methods have been applied. For details <strong>of</strong> <strong>the</strong> methodology, a reference is<br />

made to Sparre and Vanema’s Introduction to Tropical Fish Stock Assessment (FAO 1992) where treatment <strong>of</strong> catch<br />

and effort data are explained in detail.<br />

Total catch in Lake Malawi<br />

Lake Malawi, <strong>the</strong> sou<strong>the</strong>rn most <strong>of</strong> <strong>the</strong> African Rift Valley Great Lakes, supports <strong>fisheries</strong> yielding some 30,000<br />

tons <strong>of</strong> fish annually from waters controlled by Malawi (Tweddle and Magasa, 1989). Over 88% <strong>of</strong> <strong>the</strong> total<br />

landings in Lake Malawi, come from <strong>the</strong> small-scale fishery although <strong>the</strong>re exists a large-scale commercial fishery.<br />

Total catches in <strong>the</strong> small-scale <strong>fisheries</strong> in Lake Malawi, for <strong>the</strong> period 1976-1999 is shown in Figure 1. A clear<br />

increasing trend in <strong>the</strong> period 1976-1989 is observed and peaks <strong>of</strong> more than 30 000 metric tons was attained in<br />

1987, 1989, 1996 and 1997. Catches fluctuated widely during <strong>the</strong> period 1990 – 1999 and <strong>the</strong> highest catch <strong>of</strong><br />

40 000 metric tons was recorded in 1996. The reason for this was <strong>the</strong> good usipa catch (Engraulicypris sardella) in<br />

that year.<br />

Figure 2 shows <strong>the</strong> average contribution to <strong>the</strong> total Lake Malawi small-scale fishery by <strong>the</strong> various districts.<br />

Mangochi and Salima accounted for 45% and 18% respectively. The high fish yields from <strong>the</strong>se two districts are<br />

mainly due to <strong>the</strong> suitable limnological conditions. In addition to <strong>the</strong> suitability <strong>of</strong> <strong>the</strong> area for highly productive<br />

fishing methods such as trawling and seining, <strong>the</strong> broad shallow shelf <strong>of</strong> <strong>the</strong>se areas supports high benthic<br />

productivity. The shape <strong>of</strong> <strong>the</strong> <strong>lake</strong> and <strong>the</strong> direction <strong>of</strong> <strong>the</strong> prevailing winds mean that seasonal upwelling <strong>of</strong><br />

nutrient-rich water occurs mainly in <strong>the</strong> south. (Eccles, 1974 cited by George F. Turner). Most <strong>of</strong> <strong>the</strong> rest <strong>of</strong> <strong>the</strong> <strong>lake</strong>


96<br />

Lake Malawi Fisheries Management Symposium - Proceedings<br />

is <strong>of</strong>ten rocky and very deep and <strong>the</strong> <strong>fisheries</strong> are mainly dependent on pelagic zooplankton-feeding fish, which in<br />

turn are supported by low pelagic primary productivity.<br />

Catch(metric tons)<br />

40000<br />

35000<br />

30000<br />

25000<br />

20000<br />

15000<br />

10000<br />

5000<br />

0<br />

1976<br />

1978<br />

Figure 1. Total traditional catch in Lake Malawi for <strong>the</strong> period 1976 – 1999.<br />

Nkhotakota<br />

13%<br />

Figure 2. Contribution to <strong>the</strong> total catch in Lake Malawi by district.<br />

1980<br />

Nkhata bay<br />

12%<br />

Salima<br />

18%<br />

Figure 3. Average species-group contribution to <strong>the</strong> total Lake Malawi catch<br />

1982<br />

O.big<br />

cicchlids<br />

3.5%<br />

O<strong>the</strong>rs<br />

7.2%<br />

Kambuzi<br />

8.0%<br />

Catf ish<br />

8.0%<br />

Chambo<br />

11.7%<br />

1984<br />

1986<br />

1988<br />

Year<br />

Likoma<br />

4%<br />

Ntchila<br />

0.3%<br />

1990<br />

Usipa<br />

28.7%<br />

1992<br />

Utaka<br />

32.7%<br />

1994<br />

Karonga<br />

8%<br />

1996<br />

1998<br />

Mangochi<br />

45%


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

Catch composition by species group reveals that utaka has been <strong>the</strong> main dominating group with an average<br />

contribution <strong>of</strong> 32.7%, followed by usipa (28.7%) and chambo (11.7%)(Figure 3). These three species groups<br />

yielded 73.1% <strong>of</strong> <strong>the</strong> total average catch. Contribution by <strong>the</strong> o<strong>the</strong>r species groups has been in <strong>the</strong> range 0.3%-8%.<br />

Fisheries in Lake Malawi appear to be stable when analysed as a bulk biomass. However, when analysed at species<br />

or genus level, some <strong>of</strong> <strong>the</strong> most important stocks seem to have declined. The most apparent cases are those <strong>of</strong><br />

chambo stocks in Lake Malawi, which are considered to be in <strong>the</strong> state <strong>of</strong> decline and precautionary <strong>management</strong><br />

action, are recommended due to <strong>the</strong> excessive fishing effort (Pálson et al. 1999).<br />

Trends in fishing units.<br />

The number <strong>of</strong> fishermen operating in <strong>the</strong> waters <strong>of</strong> Malawi in <strong>the</strong> period 1990-94 (10 601-10 602) has been<br />

relatively stable but has increased by 27% in <strong>the</strong> following years (Figure 4). Also, within <strong>the</strong> same period, <strong>the</strong><br />

number <strong>of</strong> assistants/crew increased by 37%. Currently, <strong>the</strong>re are about 48 000 people that are directly employed in<br />

<strong>the</strong> fishery (Weyl et al. 1999).<br />

Dugout canoes operating in <strong>the</strong> waters <strong>of</strong> Malawi counted 9671 – 11457 in <strong>the</strong> period 1990 – 1999 signifying an<br />

increase <strong>of</strong> 18% (Figure 5). The number <strong>of</strong> plank-boats with engines over <strong>the</strong> same period 1990 – 99 has increased<br />

by 48% (360 – 534). However figures <strong>of</strong> 1993 and 1994 (449 393) are probably errors, since a decrease or increase<br />

<strong>of</strong> 50 units within a year is very unlikely. Plank-boats without engines have also increased by 38% (2 167 – 2 991)<br />

over <strong>the</strong> same period although in 1995 only 1 361 units were counted. This again is obviously an error since a<br />

change <strong>of</strong> such a scale is by no means reasonable.<br />

No/ <strong>of</strong> fishers<br />

Figure 4. Number <strong>of</strong> fishermen and assistants in Malawian waters 1990 – 99.<br />

16000<br />

14000<br />

12000<br />

10000<br />

8000<br />

6000<br />

4000<br />

2000<br />

0<br />

40000<br />

35000<br />

30000<br />

25000<br />

20000<br />

15000<br />

10000<br />

5000<br />

0<br />

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999<br />

Gear ow ner Crew<br />

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999<br />

Boat + engine Boat - engine Dugout canoes<br />

Figure 5. Number <strong>of</strong> small-scale fishing crafts Malawi for <strong>the</strong> period 1990-1999.<br />

The most important gears in Lake Malawi are gillnets, chilimira nets and kambuzi seines. The importance has been<br />

determined by looking at <strong>the</strong> amount <strong>of</strong> catch that each gear contributes in Lake Malawi. (Figure 6). The three gears


98<br />

Lake Malawi Fisheries Management Symposium - Proceedings<br />

contributed over 90% to <strong>the</strong> total Lake Malawi catch, gillnet (43.1%), chilimira (32.9%) and kambuzi seine (14.5%).<br />

Long-lines, chambo seine, mosquito net, fish trap and hand-lines are <strong>of</strong> intermediate importance. They contributed<br />

less than 10% to <strong>the</strong> total Lake Malawi catches and ranged from 0.4% - 3.3%.<br />

Contribution <strong>of</strong> <strong>the</strong> total catch by gillnets over <strong>the</strong> 24-year period has been relatively stable at an average catch <strong>of</strong> 7<br />

thousand metric tons. However, chilimira’s contribution has increased into <strong>the</strong> late 1990s from an average <strong>of</strong> 10<br />

thousand metric tons in <strong>the</strong> 1980s to 16 thousand metric tons in <strong>the</strong> 1990s. Kambuzi seine catches have fluctuated<br />

around an average catch <strong>of</strong> 2 thousand metric tons. The number <strong>of</strong> gillnets and chilimira have increased two-fold<br />

over <strong>the</strong> period 1990-1999 (from 19 699-43 318 for gill nets and from 1 479-2 568 for chilimira nets). The number<br />

<strong>of</strong> kambuzi seines however shows a declining trend over <strong>the</strong> same period, from 654 gears in 1990 to 343 gears in<br />

1999.<br />

a<br />

b<br />

Catch(metric tons)<br />

40000<br />

35000<br />

30000<br />

25000<br />

20000<br />

15000<br />

10000<br />

5000<br />

0<br />

1976<br />

Kambuzi<br />

14.5%<br />

Mosquito<br />

2.9%<br />

Longline<br />

3.3%<br />

1978<br />

Gillnet<br />

43.1%<br />

1980<br />

1982<br />

Handline<br />

0.4%<br />

1984<br />

1986<br />

Fishtrap<br />

1.1%<br />

Chambo<br />

seine<br />

1.8%<br />

Chilimira<br />

32.9%<br />

Figure 6. Gear contribution to <strong>the</strong> (a) total Lake Malawi catch and (b) annual Lake Malawi catch from<br />

1976 to 1999.<br />

1988<br />

1990<br />

1992<br />

1994<br />

1996<br />

Year<br />

Chilimira Gillnet Kambuzi O<strong>the</strong>rs<br />

1998


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

Catch and effort in Lake Malawi.<br />

Catch, effort and CPUE in <strong>the</strong> sou<strong>the</strong>ast arm small-scale fishery is shown in Figure 7. Unless o<strong>the</strong>rwise stated, effort<br />

refers to <strong>the</strong> relative effort (YT(y) /R(y) where YT(y) is <strong>the</strong> total yield <strong>of</strong> all gears and R(y) is <strong>the</strong> sum <strong>of</strong> relative<br />

CPUE weighted by <strong>the</strong> yields in year (y), normalized effort where all <strong>the</strong> small-scale fishing gears have been<br />

standardized to a common effort unit. CPUE also refers to weighted, relative CPUE where relative catch per unit<br />

effort <strong>of</strong> each gear has been weighted by <strong>the</strong> catch taken by that gear (For fur<strong>the</strong>r details see; Sparre, P. & Venema,<br />

S.C., 1992. Introduction to tropical fish stocks assessment. Part I- Manual. FAO Fisheries Technical Paper, 306/1,<br />

376 pp).<br />

Catches have increased into <strong>the</strong> 1990s from 5 000 metric tons in <strong>the</strong> 1970s to 10 000 tons and a highest catch <strong>of</strong><br />

about 20000 metric tons recorded in 1996 mainly due to high usipa catches in that year. Effort increased in <strong>the</strong> mid<br />

1980s and has been at a relatively high level in <strong>the</strong> 1990s. CPUE however has declined except <strong>the</strong> high value<br />

recorded in 1996.<br />

Effort and CPUE<br />

2.50<br />

2.00<br />

1.50<br />

1.00<br />

0.50<br />

0.00<br />

1976<br />

Figure 7. Catch, effort and CPUE in <strong>the</strong> South East Arm <strong>of</strong> Lake Malawi for <strong>the</strong> period 1976 – 1999.<br />

To obtain an estimate <strong>of</strong> maximum sustainable yield (MSY) for <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi, relative effort<br />

and relative CPUE for <strong>the</strong> period 1976 – 1999 was used. There was fairly good correlation between ln(CPUE) and<br />

effort. The Fox surplus production model was fitted to <strong>the</strong> data to yield initial MSY estimates for <strong>the</strong> sou<strong>the</strong>ast arm<br />

fishery (Figure 8).<br />

Catch(metric tons)<br />

1978<br />

25000<br />

20000<br />

15000<br />

10000<br />

5000<br />

0<br />

1980<br />

83<br />

99<br />

93<br />

80<br />

82<br />

77<br />

88<br />

86<br />

78 85<br />

79 76<br />

95<br />

90<br />

0 2000 4000 6000 8000 10000 12000 14000 16000<br />

Relative effort<br />

Fox Total Yield Poly. (Fox)<br />

Figure 8. Fox surplus production function <strong>of</strong> <strong>the</strong> SE Arm 1976-99<br />

1982<br />

1984<br />

1986<br />

1988<br />

1990<br />

1992<br />

96<br />

87<br />

1994<br />

97<br />

1996<br />

89<br />

94<br />

91<br />

1998<br />

Catch Relative CPUE Normalised effort<br />

92<br />

98<br />

25000<br />

20000<br />

15000<br />

10000<br />

5000<br />

0<br />

Catch(metric tons)


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

The statistical quality <strong>of</strong> <strong>the</strong> data is fairly reasonable since a regression <strong>of</strong> CPUE and effort gave a coefficient <strong>of</strong><br />

determination <strong>of</strong> 57%. The results <strong>of</strong> <strong>the</strong> Fox model are estimated at 10 502 metric tons at an effort level <strong>of</strong> 16 667<br />

units. It is however evident that MSY <strong>of</strong> 10 000 tons was exceeded in <strong>the</strong> late 1980s to mid 1990s. Although catches<br />

seem to be increasing, <strong>the</strong> increase in effort in <strong>the</strong> recent years might have remarkable effects in <strong>the</strong> long run.<br />

Catch, effort and CPUE in <strong>the</strong> sou<strong>the</strong>ast arm traditional fishery is shown in Figure 9. Catches have fluctuated<br />

throughout <strong>the</strong> period, around a mean <strong>of</strong> 6 000 tons. Effort was relatively low until late 1980s when it increased and<br />

has remained at that high level, but fluctuating in <strong>the</strong> 1990s. CPUE however has declined in <strong>the</strong> early 1980s from<br />

high values in <strong>the</strong> late 1970s and has since remained at that low level.<br />

Effort and CPUE<br />

3.50<br />

3.00<br />

2.50<br />

2.00<br />

1.50<br />

1.00<br />

0.50<br />

0.00<br />

1976<br />

1978<br />

1980<br />

Figure 9. Catch, effort and CPUE in <strong>the</strong> South West Arm <strong>of</strong> Lake Malawi for <strong>the</strong> period 1976 – 1999.<br />

To obtain an estimate <strong>of</strong> MSY in <strong>the</strong> South West Arm <strong>of</strong> Lake Malawi, relative effort and relative CPUE data was<br />

used. There was a good correlation between ln CPUE and relative effort. The Fox surplus production model was<br />

fitted to <strong>the</strong> data to yield initial MSY estimates for <strong>the</strong> SW Arm fishery (Figure 10). The statistical quality <strong>of</strong> <strong>the</strong><br />

data is also fairly reasonable since a regression <strong>of</strong> CPUE and effort gave a coefficient <strong>of</strong> determination <strong>of</strong> 58%.<br />

The results <strong>of</strong> <strong>the</strong> Fox model are estimated at 6 839 metric tons at an effort level <strong>of</strong> 10 000 units. It is however<br />

evident that MSY was attained at relative effort levels that exceeded current effort and it appears that fMSY was<br />

exceeded in <strong>the</strong> in <strong>the</strong> 1980s to 1990s with no stock recovery (Weyl et al, 2001 in press)<br />

Catch<br />

12000<br />

10000<br />

8000<br />

6000<br />

4000<br />

2000<br />

0<br />

Figure 10. Fox surplus production function <strong>of</strong> <strong>the</strong> SW Arm 1976-1999.<br />

1982<br />

1984<br />

1986<br />

1988<br />

Year<br />

1990<br />

1992<br />

1994<br />

1996<br />

1998<br />

12000<br />

10000<br />

8000<br />

6000<br />

4000<br />

2000<br />

Total Yield Relative CPUE Normalised Effort<br />

81<br />

77<br />

83<br />

78<br />

86<br />

82<br />

76<br />

79<br />

80 84<br />

84<br />

87<br />

88<br />

91<br />

96<br />

89<br />

98<br />

95<br />

97<br />

85<br />

93 90<br />

99<br />

0 5000 10000 15000 20000<br />

Relative ef fort<br />

92<br />

0<br />

Catch (metric tons)


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

Catch, effort and CPUE in Domira-bay for <strong>the</strong> period 1976-99 are shown in Figure 11. Catches have declined from<br />

high values in <strong>the</strong> 1970s and late 1980s. Effort however has remained relatively stable except <strong>the</strong> high value in 1989.<br />

CPUE has declined from high values in <strong>the</strong> early 1980s and has remained at that low level.<br />

Catch, effort and CPUE in Nkhota-kota for <strong>the</strong> period 1976-1999 are shown in figure 12. Catches show an<br />

increasing trend from low values in <strong>the</strong> 1970s to high values in <strong>the</strong> 1990s. Effort was relatively low in <strong>the</strong> 1970s but<br />

increased substantially in mid 1980s and has remained at that high level. CPUE has remained relatively stable.<br />

Effort/CPUE<br />

3.50<br />

3.00<br />

2.50<br />

2.00<br />

1.50<br />

1.00<br />

0.50<br />

0.00<br />

Figure 11. Catch, effort and CPUE in Domira-bay from 1976-99.<br />

Ef f ort/CPUE<br />

2.50<br />

2.00<br />

1.50<br />

1.00<br />

0.50<br />

0.00<br />

1977<br />

1976<br />

1980<br />

Figure 12. Catch, effort and CPUE in Nkhota-kota from 1976-99.<br />

1983<br />

1986<br />

1989<br />

Catch, effort and CPUE for Nkhata-bay for <strong>the</strong> period 1976-1999 are shown in Figure 13. Catches show an<br />

increasing trend. Effort has also taken a similar trend, increasing from low values in <strong>the</strong> 1970s to high values in <strong>the</strong><br />

1990s except <strong>the</strong> low values in 1995 and 1996. CPUE however has remained relatively stable.<br />

Catch, effort and CPUE in Likoma Island over <strong>the</strong> period 1976-1999 are shown in Figure 14. Catches have<br />

fluctuated without a definite trend. Effort has declined in <strong>the</strong> early 1990s from high levels in <strong>the</strong> 1970s and 1980s.<br />

CPUE has also fluctuated greatly without a definite trend.<br />

1992<br />

1995<br />

1998<br />

Catch<br />

Year<br />

Relative CPUE Normalised effort<br />

1979<br />

1982<br />

1985<br />

1988<br />

Year<br />

1991<br />

1994<br />

1997<br />

Catch Relative CPUE Normalised effort<br />

3500<br />

3000<br />

2500<br />

2000<br />

1500<br />

1000<br />

500<br />

0<br />

8000<br />

6000<br />

4000<br />

2000<br />

0<br />

Catch(metric tons)<br />

10000<br />

Catch(metric tons)


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

Catch, effort and CPUE for Karonga for <strong>the</strong> period 1976-1999 are shown in Figure 15. Catches show an increasing<br />

trend from low values in <strong>the</strong> 1980s. Effort has also taken a similar trend, increasing from low values in <strong>the</strong> 1980s.<br />

CPUE however has remained relatively stable.<br />

Effort/CPUE<br />

3.50<br />

3.00<br />

2.50<br />

2.00<br />

1.50<br />

1.00<br />

0.50<br />

0.00<br />

1976<br />

1979<br />

Figure 13. Catch, effort and CPUE in Nkhata-bay from 1976-99.<br />

Effort/CPUE<br />

Figure 14. Catch, effort and CPUE in Likoma from 1976-99.<br />

Effort/CPUE<br />

3.50<br />

3.00<br />

2.50<br />

2.00<br />

1.50<br />

1.00<br />

0.50<br />

0.00<br />

2.50<br />

2.00<br />

1.50<br />

1.00<br />

0.50<br />

0.00<br />

1976<br />

1980<br />

Figure 15. Catch, effort and CPUE in Karonga from 1976-99.<br />

1982<br />

1985<br />

1988<br />

1991<br />

1994<br />

1997<br />

Catch<br />

Year<br />

Relative CPUE Normalised effort<br />

1979<br />

1982<br />

1985<br />

1988<br />

1991<br />

1994<br />

1997<br />

Catch<br />

Year<br />

Relative CPUE Normalised effort<br />

1983<br />

1986<br />

1989<br />

Year<br />

1992<br />

1995<br />

1998<br />

Catch Relative CPUE Normalised effort<br />

6000<br />

5000<br />

4000<br />

3000<br />

2000<br />

1000<br />

0<br />

6000<br />

5000<br />

4000<br />

3000<br />

2000<br />

1000<br />

0<br />

4000<br />

3500<br />

3000<br />

2500<br />

2000<br />

1500<br />

1000<br />

500<br />

0<br />

Catch(metric tons)<br />

Catch(metric tons)<br />

Catch(metric tons)


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Trends in total catch<br />

Total catches in Malawian waters fluctuated between 50 and 60 thousand metric tons in <strong>the</strong> period 1976-86 (Figure<br />

16). During <strong>the</strong> period 1987-91, catches were in <strong>the</strong> range <strong>of</strong> 60-70 thousand metric tons. Catches declined in <strong>the</strong><br />

early 1990s to a minimum <strong>of</strong> 30 thousand metric tons in 1995. The decline in total catch as seen from Figure 16 is<br />

caused by declining catches in o<strong>the</strong>r water bodies o<strong>the</strong>r than Lake Malawi, in particular in Lake Malombe, Lake<br />

Chilwa, Lake Chiuta and <strong>the</strong> Lower Shire. Also <strong>the</strong> reduced catches in <strong>the</strong> commercial fishery contributes to <strong>the</strong><br />

decline.<br />

Traditional catches in Lake Malawi increased into <strong>the</strong> late 1980s to a peak <strong>of</strong> 33 thousand metric tons in 1987. After<br />

which catches have remained relatively stable. The highest catch in Lake Malawi traditional <strong>fisheries</strong> was recorded<br />

in 1996 (37 thousand tons). Traditional <strong>fisheries</strong> in o<strong>the</strong>r water bodies o<strong>the</strong>r than Lake Malawi were relatively stable<br />

until early 1990s, fluctuating around 30 thousand metric tons with a peak <strong>of</strong> 45 thousand metric tons in 1990.<br />

Catches however declined by 1994 to some 20 thousand metric tons and <strong>the</strong>y dropped to 6-10 thousand metric tons<br />

in 1995/96. The main reason for <strong>the</strong> low catches in <strong>the</strong>se two years is primarily due to <strong>the</strong> low or zero catches in<br />

Lake Chilwa when it dried up.<br />

Catch(metric tons)<br />

90000<br />

80000<br />

70000<br />

60000<br />

50000<br />

40000<br />

30000<br />

20000<br />

10000<br />

0<br />

1976<br />

1978<br />

Figure 16. Annual catch contribution by water body from 1976-99 (* traditional and commercial).<br />

Management measures<br />

Current <strong>fisheries</strong> <strong>management</strong> regulations are based on technical restriction <strong>of</strong> fishing gears, i.e. gear mesh size or<br />

size <strong>of</strong> gear (head line length) and restrictions <strong>of</strong> fishing areas or fishing times- closed areas and seasons for o<strong>the</strong>r<br />

gears such as beach seines. A number <strong>of</strong> gears are without any restrictions such as longlines except for permissible<br />

setting times in Lake Malawi, hand lines, scoop nets and cast nets. Some gear types are locally prohibited such as<br />

kauni for chambo, nkacha in Lake Malawi, beach seines in Lake Chiuta, upper shire and in rivers and dams. Some<br />

species are subject to minimum size i.e. all species <strong>of</strong> chambo (Oreochromis) 15.0 cm, o<strong>the</strong>r tilapia e.g.<br />

Oreochromis shiranus shiranus 10.0 cm folk length and mpasa (Opsaridium microleps) 30.0 cm fork length.<br />

The traditional <strong>fisheries</strong> are ‘’open entry’’, although a license is formally needed to operate in that fishery. An<br />

annual basic fee must be paid depending on <strong>the</strong> type <strong>of</strong> gear being used. In view <strong>of</strong> <strong>the</strong> current status <strong>of</strong> <strong>fisheries</strong> and<br />

fish stocks in Malawian waters, <strong>the</strong> effectiveness <strong>of</strong> <strong>the</strong>se measures appears to be limited.<br />

The fishery in <strong>the</strong> o<strong>the</strong>r smaller water bodies however show declining trends in catch and CPUE and many appear<br />

currently to be at low level in terms <strong>of</strong> resource status (Table 1). The prospects for <strong>fisheries</strong> in Lakes Chilwa, Chiuta,<br />

Malombe and upper shire seem to be extremely discouraging. However due to heavy limitations <strong>of</strong> available data for<br />

Lakes Chilwa and Chiuta, precise recommendations are not given at this stage.<br />

In summary, recommended precautionary <strong>management</strong> actions are as follows:<br />

Lake Malawi traditional fishery:<br />

1980<br />

1982<br />

1984<br />

1986<br />

1988<br />

1990<br />

1992<br />

1994<br />

1996<br />

1998<br />

*L.Malaw i L.Malombe<br />

Year<br />

L.Chilw a L.Chiuta U+L.Shire


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• Total <strong>lake</strong> wide ban on chambo seines and ban on kauni for chambo in Area A in order to restore <strong>the</strong><br />

chambo stocks.<br />

Lake Malombe fishery:<br />

• Total ban on gill nets and chambo seines, in order to restore <strong>the</strong> chambo stocks.<br />

• Effort limitations <strong>of</strong> nkacha and kambuzi seine by denying new entries in order to maintain kambuzi<br />

stocks.<br />

Lake Chilwa fishery:<br />

• Currently no <strong>management</strong> recommendations since <strong>the</strong> fishery are seasonal i.e. <strong>the</strong> <strong>lake</strong> dries up.<br />

Lake Chiuta fishery:<br />

• Reduction in effort in order to restore stocks.<br />

Upper Shire fishery:<br />

• Total ban on seines and gill nets, in order to restore stocks.<br />

Table 1. Summary <strong>of</strong> <strong>the</strong> status <strong>of</strong> <strong>fisheries</strong> and fish stocks in Malawian waters (after Bulirani et al. 1999).<br />

Fish Long term trends (1976-1999)<br />

Stock(s) Fishery/Survey Waterbody Area(s) Catch Effort CPUE<br />

All Traditional South East Arm All Increasing Increasing Decreasing<br />

All Traditional South West Arm All Variable Increasing Decreasing<br />

All Traditional Domira-bay All Decreasing Stable Decreasing<br />

All Traditional Nkhotakota All Increasing Increasing Stable<br />

All Traditional Nkhata-bay All Increasing Increasing Stable<br />

All Traditional Likoma All Variable Decreasing Variable<br />

All Traditional Karonga All Increasing Increasing Stable<br />

All Traditional Lake Malombe All Decreasing Increasing Decreasing<br />

All Traditional Lake Chilwa All Decreasing Increasing Decreasing<br />

All Traditional Lake Chiuta All Decreasing Increasing Decreasing<br />

Chambo Traditional Lake Malawi All Decreasing Increasing Decreasing<br />

Chambo Traditional Lake Malombe All Decreasing Increasing Decreasing<br />

Chambo Traditional Upper Shire All Decreasing Variable Decreasing<br />

Kampango Traditional Lake Malawi All Decreasing Increasing Decreasing<br />

Bombe Traditional Lake Malawi All Decreasing Increasing Decreasing<br />

Utaka Traditional Lake Malawi All Variable Increasing Decreasing<br />

Usipa Traditional Lake Malawi All Increasing Increasing Variable<br />

Kambuzi Traditional Lake Malawi All Increasing Increasing Stable<br />

Kambuzi Traditional Lake Malombe All Decreasing Stable Stable<br />

References<br />

Bulirani A.E., Banda M.C., Pálson Ó.K., Weyl O.L.F., Kanyerere G.Z., Manase M., Sipawe R., 1999. Fish Stocks<br />

and Fisheries <strong>of</strong> Malawian Waters: Resource Report. Government <strong>of</strong> Malawi, Fisheries Department,<br />

Fisheries Research Unit.54pp.<br />

Kolding, J. Population ecology and simple sustainable yield estimators in <strong>fisheries</strong>: a review. University <strong>of</strong> Bergen,<br />

High Technology Centre, Norway.<br />

Pálson Ó.K., Bulirani A., Banda M, 1999. A review <strong>of</strong> biology, <strong>fisheries</strong> and population dynamics <strong>of</strong> chambo<br />

(Oreochromis spp., CICHLIDAE) in Lakes Malawi and Malombe. Malawi Fisheries Bulletin.<br />

Sparre, P. and Venema, S.C., 1992. Introduction to tropical fish stock Assessment. Part I – Manual. FAO Fisheries<br />

Technical Paper, 306/1, 376pp.<br />

Turner, G.F., 1995. Management, conservation and species changes <strong>of</strong> exploited Fish stocks in Lake Malawi in The<br />

Impact <strong>of</strong> Species Changes in African Lakes. Tweddle, D. and Magasa, J.D. (1989) Assessment <strong>of</strong> multispecies<br />

cichlid Fisheries <strong>of</strong> <strong>the</strong> Sou<strong>the</strong>ast Arm <strong>of</strong> Lake Malawi, Africa. J. Cons. int. Explor. Mer., 45: 209 –<br />

222.<br />

Weyl O.L.F., Banda M, Sodzabanja G., Mwenekibombwe L.H., Namoto W., Mponda O.C., 2000. Annual<br />

Frame Survey, September 1999. Fisheries Bulletin No.42. Fisheries Department, Lilongwe, Malawi.<br />

Weyl, O.L.F. 2001, Small-scale <strong>fisheries</strong> statistics summary. Short communication No. 2


105<br />

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Effects <strong>of</strong> overfishing on reproductive potential <strong>of</strong> major cichlid fish species in<br />

sou<strong>the</strong>rn Lake Malombe (Malawi): need for “closed area” strategy as a<br />

complementary <strong>management</strong> option?<br />

Collins Jambo 1 and Tom Hecht 2<br />

1 Fisheries Research Unit, P.O. Box 27, Monkey Bay, Malawi.<br />

2 Department <strong>of</strong> Ichthyology and Fisheries Science, Rhodes University, P.O. Box 94, 6140 Grahamstown, South Africa.<br />

Abstract<br />

The three major species Lethrinops ‘pinkhead’, Otopharynx argyrosoma ‘red’ and Copadichromis cf. virginalis, which used to<br />

contribute about 75% to <strong>the</strong> total catches (by weight) <strong>of</strong> Lake Malombe in <strong>the</strong> last decade were investigated. The main aim <strong>of</strong> <strong>the</strong><br />

investigation was to assess <strong>the</strong> impact <strong>of</strong> fishing intensity on reproductive potential <strong>of</strong> <strong>the</strong> three species. Fecundity, reproductive<br />

seasonality, sexual maturity, and sex ratio were related to habitat types <strong>of</strong> <strong>the</strong> south western side (heavily fished) and south eastern<br />

side (lightly fished). The three species have low fecundity and <strong>the</strong>y are synchronous spanners, with a breeding peak during July to<br />

October period. Females <strong>of</strong> all three species mature earlier than males while <strong>the</strong> sex ratio <strong>of</strong> <strong>the</strong> three species was not significantly<br />

different from 1:1 in both sides <strong>of</strong> <strong>the</strong> <strong>lake</strong>. The length-fecundity relationships for L. ’pinkhead’ and O. argyrosoma ‘red’ indicated that<br />

fecundity was more closely related to length in <strong>the</strong> south eastern side than in <strong>the</strong> western side. The frequency occurrence <strong>of</strong> mature<br />

females and juveniles was greater in <strong>the</strong> south eastern side than in <strong>the</strong> south western side <strong>of</strong> <strong>the</strong> <strong>lake</strong>. Juveniles <strong>of</strong> Oreochromis<br />

spp. (chambo) were also abundant in <strong>the</strong> south eastern side. The south eastern side <strong>of</strong> <strong>the</strong> <strong>lake</strong> is characterised by low fishing<br />

intensity, muddy substratum and aquatic macrophytes. It is also functioning as a spawning area for Oreochromis spp. and nursery<br />

area for <strong>the</strong> three haplochromines. These findings provisionally suggest that <strong>the</strong> efficacy <strong>of</strong> closed area method as an additional<br />

<strong>management</strong> tool in Lake Malombe. Such a <strong>management</strong> tool would protect juveniles and breeding stocks <strong>of</strong> <strong>the</strong> main species,<br />

hence meet <strong>the</strong> criteria <strong>of</strong> ensuring <strong>the</strong> sustainability and utilisation <strong>of</strong> fish stocks in Lake Malombe.<br />

Key words: reproduction, fishing intensity, closed area, <strong>management</strong>, Lake Malombe and haplochromines<br />

Introduction<br />

The Lake Malombe fishery has been under severe fishing pressure since 1986 (FAO 1992, Coulter 1993). The<br />

fishery provides <strong>the</strong> cheapest dietary protein to <strong>the</strong> entire human population surrounding <strong>the</strong> <strong>lake</strong> and directly<br />

employs 4660 people. During 1970-1986 period, Oreochromis spp. (chambo) used to dominate <strong>the</strong> catches but<br />

collapsed in 1988. The collapse <strong>of</strong> <strong>the</strong> chambo fishery prompted artisanal fishers to use fine-meshed nets with which<br />

to target <strong>the</strong> small haplochromines (kambuzi). As such, small haplochromines became predominant in <strong>the</strong> catches<br />

after <strong>the</strong> collapse <strong>of</strong> <strong>the</strong> chambo fishery. During 1986-1993, three haplochromines (Lethrinops ‘pinkhead’, O.<br />

argyrosoma ‘red’ and Copadichromis cf. virginalis) contributed about 75% to <strong>the</strong> total annual catch <strong>of</strong> 8 000 tons<br />

(FAO 1993). However, five haplochromines currently constitute about 67% <strong>of</strong> <strong>the</strong> total annual catch by weight<br />

(Jambo 1997).<br />

Recent findings indicate that catches <strong>of</strong> kambuzi have declined from 20 kg per haul in <strong>the</strong> late 1980s (Tweddle et al.<br />

1995) to 3.5 kg per haul (Jambo 1997), indicating that <strong>the</strong> Lake Malombe fishery has been overexploited. The<br />

current overall decline <strong>of</strong> small haplochromines threatens both <strong>the</strong> livelihood <strong>of</strong> <strong>the</strong> rural people who depend on fish<br />

as <strong>the</strong>ir source <strong>of</strong> animal protein and employment, as well as <strong>the</strong> nation’s animal protein supply as a whole.<br />

Considering <strong>the</strong> fact that many African Great Lakes cichlids are narrowly stenotopic, philopatric and practise mouth<br />

brooding (Ribbink et al. 1983), in a way to safe guard <strong>the</strong>ir <strong>of</strong>fspring within <strong>the</strong> same habitat, such a drastic decline<br />

in catch per unit effort threatens <strong>the</strong> biodiversity <strong>of</strong> fish species in Lake Malombe. Fur<strong>the</strong>r increase in fishing effort<br />

and inappropriate use <strong>of</strong> fishing gears on <strong>the</strong> remaining small populations would consequently lead to a total<br />

collapse <strong>of</strong> <strong>the</strong> kambuzi fishery.<br />

Based on Roberts & Polunin (1991) views it was hypo<strong>the</strong>sised, in this study, that high fishing intensity in <strong>the</strong> south<br />

western side <strong>of</strong> Lake Malombe might have depleted populations <strong>of</strong> adult fishes and reduced <strong>the</strong> average size <strong>of</strong><br />

females, resulting in poor recruitment into <strong>the</strong> fishery. In order to test this hypo<strong>the</strong>sis, aspects <strong>of</strong> reproductive<br />

biology <strong>of</strong> <strong>the</strong> three principal haplochromines were investigated in <strong>the</strong> south western side (heavily fished) and south<br />

eastern side (lightly fished) <strong>of</strong> <strong>the</strong> <strong>lake</strong>. The main aim <strong>of</strong> <strong>the</strong> investigation was to assess <strong>the</strong> impact <strong>of</strong> fishing<br />

intensity on reproductive potential <strong>of</strong> <strong>the</strong> three principal species, with a view <strong>of</strong> formulating decisions to do with <strong>the</strong><br />

placing and size <strong>of</strong> a protected area.<br />

Materials and methods<br />

A monthly sample <strong>of</strong> 25 to 45 fish for each species was collected from each sampling station. A standard nkacha<br />

<strong>of</strong>fshore seine net (250 metres long and 9 metres deep) was used at all stations on each sampling trip. The nkacha<br />

<strong>of</strong>fshore seine net is an active gear with a gradation <strong>of</strong> mesh sizes <strong>of</strong> 39 mm and 25 mm on <strong>the</strong> wings and 19 mm on<br />

<strong>the</strong> bunt. It involves divers who pull <strong>the</strong> footrope and tie weights toge<strong>the</strong>r to ‘purse’ <strong>the</strong> net. Sampling stations were


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located along two transects across <strong>the</strong> <strong>lake</strong>. On each transect, two sampling stations were situated in <strong>the</strong> south<br />

western side and <strong>the</strong> o<strong>the</strong>r two stations in <strong>the</strong> south eastern side <strong>of</strong> <strong>the</strong> <strong>lake</strong> (Figure 1).<br />

Figure 1. Map <strong>of</strong> Sou<strong>the</strong>rn Lake Malombe showing <strong>the</strong> location <strong>of</strong> major landing sites and sampling<br />

stations. SS refers to sampling stations on <strong>the</strong> two transects.<br />

For each specimen, total length to <strong>the</strong> nearest millimetre and total body mass to <strong>the</strong> nearest gram were measured.<br />

Fish mass was taken as <strong>the</strong> mass <strong>of</strong> <strong>the</strong> fish minus gut contents. The breeding seasons as well as sexual maturity<br />

were determined by a monthly visual appraisal <strong>of</strong> <strong>the</strong> gonad activity stages. The visual assessment <strong>of</strong> gonadal stages<br />

was done using <strong>the</strong> descriptions <strong>of</strong> Marsh et al. (1986) (Table 1). To eliminate possible error, only those data which<br />

were collected during <strong>the</strong> peak period <strong>of</strong> gonad activity, were used.<br />

To establish <strong>the</strong> breeding seasonality, <strong>the</strong> percentage frequency occurrence <strong>of</strong> females with active ripe (AR), ripe<br />

(R) and spent (S) stages for each species, was plotted against sampling time (months). The breeding season was <strong>the</strong>n<br />

identified by comparing peaks <strong>of</strong> AR, R and S stages. Only mature females with AR, R and S gonadal stages were<br />

used in this investigation to avoid <strong>the</strong> possible masking effect, which immature fish could have had on <strong>the</strong> results.<br />

To establish <strong>the</strong> length at 50% sexual maturity, with minimal possible error, <strong>the</strong> data collected during <strong>the</strong> period <strong>of</strong><br />

maximum gonad activity were used. Fish with active ripe, ripe and spent gonads were considered mature. For each<br />

species and sex, <strong>the</strong> percentage frequency <strong>of</strong> such mature fish was plotted against total length. A logistic curve was<br />

fitted to <strong>the</strong> percentage <strong>of</strong> sexually mature individuals by length (L), using King's (1995) equation:<br />

P = 1/(1 + e -r(L - L m )<br />

where r is <strong>the</strong> slope <strong>of</strong> <strong>the</strong> curve and Lm is <strong>the</strong> mean length which corresponds to size at 50% maturity. The logistic<br />

curve was used in order to minimise unreasonably high estimation <strong>of</strong> Lm.


Table 1. Criteria used for categorising gonads to reproductive stage.<br />

Stage Description <strong>of</strong> female gonadal stages<br />

Immature (I) Eggs were elongate, pale yellow / pale orange in colour<br />

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Lake Malawi Fisheries Management Symposium - Proceedings<br />

Active Ripe (AR) Eggs were ovoid in shape and <strong>the</strong>y were closely packed and pale orange in<br />

colour<br />

Ripe (R) Eggs were irregular in shape and loosely connected to one ano<strong>the</strong>r. They<br />

were bright orange in colour.<br />

Spent (S) Ovaries were thin and opaque wall. Red eggs dominated with few bright<br />

orange eggs.<br />

Description <strong>of</strong> male gonadal stages<br />

Immature (I) Testes were translucent and almost colourless.<br />

Ripe (R) Testes were opaque and creamy.<br />

Spent (S) Testes were thin, flaccid and irregular.<br />

To determine <strong>the</strong> absolute fecundity <strong>of</strong> each species <strong>the</strong> ripe ovaries for each fish were separately preserved in<br />

Gilson's solution. After keeping <strong>the</strong> ovaries in Gilson's solution for one week, <strong>the</strong> number <strong>of</strong> eggs were counted<br />

(Bagenal 1978). The length-fecundity relationship was determined by regression analysis. The best regression fit<br />

was given by <strong>the</strong> linear equation:<br />

F = b L + a<br />

where F is <strong>the</strong> absolute number <strong>of</strong> eggs counted per individual, L is <strong>the</strong> total length <strong>of</strong> fish and a, b are linear<br />

equation constants. Relative fecundity (number <strong>of</strong> eggs per gram fish weight) was used to compare reproductive<br />

strategies <strong>of</strong> <strong>the</strong> three species.<br />

Sex ratio for each species was evaluated by recording <strong>the</strong> number <strong>of</strong> fish sampled by sex. The numbers <strong>of</strong> males and<br />

females were compared using a Chi-square test to determine whe<strong>the</strong>r sex ratio differed significantly from unity. This<br />

test was done to evaluate if size-selective fishing, which has been aggravated by use <strong>of</strong> small meshed nets, might<br />

have altered <strong>the</strong> sex ratios <strong>of</strong> <strong>the</strong> three species.<br />

Results<br />

Reproductive seasonality<br />

For all three species, a high frequency <strong>of</strong> potential breeding females (AR and R) was evident between July and<br />

October, with prominent peaks in July and October for active ripe female and in August for ripe females. A high<br />

frequency <strong>of</strong> potential breeding ripe females was also noted for O. argyrosoma ‘red’ in December (Figure 2). From<br />

<strong>the</strong>se data it is evident that all three species breed mainly from July to August.<br />

Sexual maturity<br />

Gonads <strong>of</strong> 991 males and 979 females were examined. More than 50 % <strong>of</strong> <strong>the</strong> males, irrespective <strong>of</strong> species and side<br />

<strong>of</strong> <strong>the</strong> <strong>lake</strong>, were mature at approximately <strong>the</strong> same size (79 mm), thus corresponding to an age <strong>of</strong> between two and<br />

three years. However, <strong>the</strong>y appear to attain 100% sexual maturity at different lengths (TL). In contrast, females <strong>of</strong><br />

<strong>the</strong> three species attained 50% sexual maturity at different lengths (Table 2)


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Table 2. Comparison <strong>of</strong> length at 50% sexual maturity (Lsm) in millimetres and length-at-age 1 (L-at-1) in<br />

millimetres for both sexes <strong>of</strong> <strong>the</strong> three species studied in <strong>the</strong> sou<strong>the</strong>rn Lake Malombe<br />

Species Male<br />

Female<br />

Lsm L-at-1 Lsm L-at-1<br />

L. ‘pinkhead’ 79 67 66 86<br />

O. argyrosoma ‘red’ 77 69 72 89<br />

C. cf. virginalis 79 32 83 45<br />

% Frequency<br />

% Frequency<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

L. ' pinkhead' ( n=297)<br />

Active ripe Ripe<br />

Jun Jul Aug Sep Oct Nov Dec Apr May Jun<br />

Months<br />

C. cf. virginalis (n=189)<br />

Active ripe Ripe<br />

Jun Jul Aug Sep Oct Nov Dec Apr May Jun<br />

Months<br />

% Frequency<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

O. argyrosoma ' red' (n=389)<br />

Active ripe Ripe<br />

Jun Jul Aug Sep Oct Nov Dec Apr May Jun<br />

Months<br />

Figure 2. Frequency distribution <strong>of</strong> female fish with active ripe (AR) and ripe (R) gonads.<br />

Size distribution and Sex ratio<br />

The frequency occurrence <strong>of</strong> smaller mature females was greater in <strong>the</strong> south eastern side than in <strong>the</strong> south western<br />

side. Females <strong>of</strong> L. ‘pinkhead’ and O. argyrosoma ‘red’ dominated in <strong>the</strong> smaller size classes (66-75 mm) while<br />

females <strong>of</strong> C. cf. virginalis dominated in <strong>the</strong> larger size classes (78-90 mm) (Figure 3 a,b and c).<br />

These results suggest that more <strong>of</strong> <strong>the</strong> immature females in <strong>the</strong> L. ‘pinkhead’ and O. argyrosoma ‘red’ populations<br />

were vulnerable to <strong>the</strong> standard nkacha net. However, <strong>the</strong>re was no significant difference in size between sexes and<br />

sides (ANOVA) P>0.05 (Table 3). Similarly, <strong>the</strong> sex ratio <strong>of</strong> <strong>the</strong> three species did not differ significantly from 1:1,<br />

X² test; P > 0.05 (Table 4).


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Table 3. Mean lengths (mm) <strong>of</strong> potential breeding males and females in <strong>the</strong> south western (SW) side and<br />

south eastern (SE) side <strong>of</strong> Lake Malombe.<br />

Species SW<br />

(Heavily fished)<br />

L. ‘pinkhead’ 78<br />

67<br />

O. argyrosoma’red’ 71<br />

72<br />

C. cf. virginalis 79<br />

SE<br />

(Lightly fished)<br />

78<br />

67<br />

76<br />

71<br />

80<br />

83 83<br />

Table 4. Sex ratio <strong>of</strong> <strong>the</strong> three species sampled from sou<strong>the</strong>rn Lake Malombe, irrespective <strong>of</strong> <strong>the</strong> sides.<br />

Species Male Female Ratio x²<br />

L. ‘pinkhead’ 1450 1441 1:1.03 0.017<br />

O. argyrosoma ‘red’ 801 1014 1:1.23 0.001<br />

C. cf. virginalis 749 802 1:1.07 0.790<br />

Discussion<br />

Breeding seasonality<br />

It appears that all three species breed throughout <strong>the</strong> year with one or two distinct peaks occurring from July to<br />

October for L. ‘pinkhead’ and C. cf. virginalis and in September and December for O. argyrosoma ‘red’. In general,<br />

<strong>the</strong>se results confirm <strong>the</strong> findings <strong>of</strong> Tweddle & Turner (1977), Mwanyama (1993) and Banda et al. (1994) who<br />

found that <strong>the</strong> main breeding season for most Malawian cichlids falls between August and September. The high<br />

frequency occurrence <strong>of</strong> potential breeding fish, throughout <strong>the</strong> year, provides fur<strong>the</strong>r evidence that <strong>the</strong> three species<br />

breed throughout <strong>the</strong> year and this makes <strong>the</strong> application <strong>of</strong> a closed season problematic. Never<strong>the</strong>less, high<br />

frequency <strong>of</strong> spent ovaries and juveniles after November suggests that a fine-tuned closed season would cover <strong>the</strong><br />

month <strong>of</strong> November so that juveniles could be protected.<br />

The breeding peaks <strong>of</strong> <strong>the</strong> three species occurred during <strong>the</strong> phytoplankton biomass peaks. This could be a strategy,<br />

which synchronises <strong>the</strong> breeding behaviour with availability <strong>of</strong> food. Eccles (1974), Lowe-McConnell (1987) and<br />

Mwanyama (1993) have indicated that more nutrients are available during <strong>the</strong> period June to September from<br />

sediments pertubated by <strong>the</strong> south easterly winds and between February and March during <strong>the</strong> rainy season. These<br />

findings provide some evidence that <strong>the</strong> synchrony in breeding <strong>of</strong> <strong>the</strong> three species may reflect a direct response to<br />

food availability. Similar relationships have also been found for cichlid species elsewhere (McKaye 1984 and Marsh<br />

et al. 1986). It was also apparent that <strong>the</strong> main breeding season <strong>of</strong> <strong>the</strong> three species occurred during <strong>the</strong> time when<br />

CPUE was also highest, indicating that <strong>the</strong> three species are more vulnerable to fishing during <strong>the</strong>ir breeding season.<br />

From a fishery perspective, <strong>the</strong> coincidence <strong>of</strong> greater CPUE and breeding season during <strong>the</strong> open season, suggested<br />

that <strong>the</strong> closed season (1January-31 March) was ineffective in protecting breeding stocks.


(a) L. ‘pinkhead’<br />

% Frequency<br />

(b) O. argyrosoma ‘red’<br />

% Frequency<br />

12<br />

10<br />

8<br />

6<br />

4<br />

2<br />

0<br />

15<br />

10<br />

5<br />

0<br />

(c) C. virginalis<br />

% Frequency<br />

South western side<br />

Male<br />

Female<br />

55 6 65 69 73 77 8 85 89 93 98<br />

Total length (mm)<br />

15<br />

10<br />

5<br />

0<br />

South western side<br />

South western side<br />

Male<br />

Female<br />

55 62 66 70 74 78 82 86 90 94 99<br />

Total length (mm)<br />

Male<br />

Female<br />

65 69 73 77 81 85 89 93 97 103<br />

Total length (mm)<br />

110<br />

Lake Malawi Fisheries Management Symposium - Proceedings<br />

South eastern side<br />

Figure 3 a, b and c Length frequency distribution <strong>of</strong> mature fish <strong>of</strong> three principal species in <strong>the</strong> sou<strong>the</strong>rn<br />

Lake Malombe.<br />

% Frequency<br />

% Frequency<br />

15<br />

10<br />

5<br />

0<br />

12<br />

10<br />

8<br />

6<br />

4<br />

2<br />

0<br />

% Frequency<br />

10<br />

8<br />

6<br />

4<br />

2<br />

0<br />

South eastern side<br />

Male<br />

Female<br />

58 63 67 71 75 79 83 87 91 100<br />

Total length (mm)<br />

Male<br />

Female<br />

33 60 64 68 72 76 80 84 88 92105<br />

Total length (mm)<br />

South eastern side<br />

Male<br />

Female<br />

30 62 66 70 74 78 82 86 90 94 100111123<br />

Total length (mm)


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

The spawning period <strong>of</strong> O. argyrosoma ‘red’ coincided with <strong>the</strong> onset <strong>of</strong> <strong>the</strong> rainy season in December. This species<br />

belongs to a group <strong>of</strong> small zoobenthic feeders, substrate spawners and it is most abundant in <strong>the</strong> shallower parts <strong>of</strong><br />

<strong>the</strong> <strong>lake</strong> (Eccles & Trewavas 1989). During <strong>the</strong> rainy season <strong>the</strong> preferred habitats for O. argyrosoma ‘red’ had high<br />

turbidity values. Considering <strong>the</strong> fact that high turbidity does not prohibit breeding <strong>of</strong> some haplochromines<br />

(Greenwood 1974), it appears that breeding <strong>of</strong> O. argyrosoma ‘red’ coincides with high water turbidity.<br />

Sexual maturity<br />

Analysis <strong>of</strong> <strong>the</strong> data, using non-pooled data, showed that <strong>the</strong> sizes at 50% maturity <strong>of</strong> female fish, from both sides <strong>of</strong><br />

<strong>the</strong> <strong>lake</strong>, were not significantly different. Results for <strong>the</strong> three species have shown that <strong>the</strong> females mature<br />

approximately six months to one year before <strong>the</strong> males. The early maturing <strong>of</strong> females is considered to be<br />

advantageous to <strong>the</strong> reproductive potential <strong>of</strong> <strong>the</strong> three species because females could breed at least once before <strong>the</strong>y<br />

are exploited in <strong>the</strong>ir second year <strong>of</strong> life.<br />

Cichlid females maturing at a small size could also mean a reduction in absolute population fecundity (Fryer & Iles<br />

1972, Pitcher & Hart 1982) resulting in insufficient recruitment levels from such small and early maturing females.<br />

However, some scholars have argued that while mouth brooding cichlids may mature at a small size and lay few<br />

eggs, recruitment is guaranteed due to <strong>the</strong> fact that <strong>the</strong> young are painstakingly cared for by <strong>the</strong> parent. This implies<br />

that although females <strong>of</strong> <strong>the</strong> three species are maturing early, at a small size, <strong>the</strong>y may still have a good recruitment<br />

potential, which may however need to be conserved by protecting <strong>the</strong> breeding grounds.<br />

Studies on sexual maturity <strong>of</strong> related species such as Haplochromis virginalis (107 mm), H. quadrimaculatus<br />

(164 mm) and H. pleurostigmoids (130 mm) have shown that <strong>the</strong>y all matured during <strong>the</strong>ir third year (Fryer & Iles<br />

1972). Tweddle & Turner (1977) who investigated <strong>the</strong> sexual maturity <strong>of</strong> Lethrinops. parvidens , L. longipinnis,<br />

and H. anaphyrmus (closely related to <strong>the</strong> species studied here) also postulated that <strong>the</strong>y breed in <strong>the</strong>ir third year.<br />

According to Fryer & Iles (1972), reduction in size at 50% maturity in all female individuals might have been a<br />

direct adaptation to heavy fishing. It appears that <strong>the</strong> reduction in size at sexual maturity for C. cf. virginalis has<br />

been compensated by a faster growth rate (Jambo 1997). Pitcher & Hart (1982) and Gulland (1988) pointed out that<br />

a smaller size at sexual maturity coupled with an increasing growth rate <strong>of</strong>fers <strong>the</strong> potential for compensatory<br />

adjustment to <strong>of</strong>fset declining spawner stock size. This phenomenon could probably explain why <strong>the</strong>se three species<br />

have been resilient to heavy exploitation and give an impression that <strong>the</strong> fishery could be restored if <strong>the</strong>re is a<br />

substantial curtailment <strong>of</strong> fishing and proper <strong>management</strong>.<br />

Sex ratio<br />

For all three species <strong>the</strong> overall sex ratio was approximately 1:1 at 95% confidence interval. This suggests that <strong>the</strong>re<br />

was an equal removal <strong>of</strong> both sexes by <strong>the</strong> standard fishing gear in sou<strong>the</strong>rn Lake Malombe. However, it was<br />

apparent that for all three species, males slightly outnumbered females two months prior to <strong>the</strong> breeding season. This<br />

may be a reproductive strategy that could increase <strong>the</strong> reproductive success <strong>of</strong> <strong>the</strong> females through <strong>the</strong> exercise <strong>of</strong><br />

mate choice. Lande (1981) quoted by McKaye (1986) and Turner (1993) emphasised that such preponderance <strong>of</strong><br />

males satisfies <strong>the</strong> polygynandry <strong>of</strong> mouth brooding cichlids, whereby females have numerous males from which to<br />

choose and apportion <strong>the</strong>ir eggs and hence achieve greater mating success. Ano<strong>the</strong>r explanation could be that males,<br />

as in Tilapia moori (Konings 1988), move about in groups prior to and during <strong>the</strong> spawning period whilst females<br />

are solitary in less accessible breeding grounds. Such a breeding behaviour could contribute to males dominating <strong>the</strong><br />

catches during and/or prior to <strong>the</strong> breeding season.<br />

Fecundity<br />

In this study, <strong>the</strong> linear function best described <strong>the</strong> significant relationship between absolute fecundity and length.<br />

However, <strong>the</strong> relationships for L. ‘pinkhead’ and O. argyrosoma ‘red’ were poorer in <strong>the</strong> south western side than in<br />

<strong>the</strong> south eastern side <strong>of</strong> <strong>the</strong> <strong>lake</strong>. The possible explanation for such a poor length-fecundity relationship in <strong>the</strong> south<br />

western side could be that <strong>the</strong> high fishing intensity has influenced a shift in <strong>the</strong> size distribution <strong>of</strong> <strong>the</strong>se species<br />

resulting in <strong>the</strong> impairment <strong>of</strong> reproductive output (Sadovy 1996).<br />

This study indicates that relative fecundity indicate is variable among <strong>the</strong> three species and between <strong>the</strong> sides <strong>of</strong> <strong>the</strong><br />

<strong>lake</strong>. Considering <strong>the</strong> fact that mean weights for each species, in both sides <strong>of</strong> <strong>the</strong> <strong>lake</strong> were not significantly<br />

different (t-test, P>0.05), it appears that <strong>the</strong> higher values <strong>of</strong> relative fecundity for C. cf. virginalis, in <strong>the</strong> south<br />

western side, might have been a reproductive adaptation to high fishing pressure. Pitcher & Hart (1982) and Sadovy<br />

(1996) pointed out that changes in reproductive strategy are expected to involve increases in relative fecundity at a


112<br />

Lake Malawi Fisheries Management Symposium - Proceedings<br />

given size and age when fish populations are subjected to high fishing pressure. The lower value <strong>of</strong> relative<br />

fecundity <strong>of</strong> O. argyrosoma ‘red’, in <strong>the</strong> south western side, could be an indication <strong>of</strong> poor habitat breeding<br />

conditions for this species in <strong>the</strong> south western side. It could be envisaged that <strong>the</strong> sandy substratum <strong>of</strong> <strong>the</strong> south<br />

western side <strong>of</strong> <strong>the</strong> <strong>lake</strong> may have contributed to <strong>the</strong> low values <strong>of</strong> relative fecundity <strong>of</strong> O. argyrosoma ‘red’ while<br />

<strong>the</strong> muddy substratum <strong>of</strong> <strong>the</strong> south eastern side <strong>of</strong> <strong>the</strong> <strong>lake</strong> may have contributed to <strong>the</strong> better habitat conditions for<br />

reproductive success <strong>of</strong> O. argyrosoma ‘red’.<br />

In overall, absolute fecundity estimates from this investigation showed general agreement with estimates by<br />

Mwanyama's (1993). Mwanyama (1993) documented a range <strong>of</strong> 13 to 78 eggs. The slight difference might have<br />

originated from sampling, differences in population structure in both sides and period <strong>of</strong> sampling. Comparisons <strong>of</strong><br />

absolute fecundity values <strong>of</strong> each species with respect to sides <strong>of</strong> <strong>the</strong> <strong>lake</strong> showed that L. ‘pinkhead’ and C. cf.<br />

virginalis had <strong>the</strong> highest mean values <strong>of</strong> absolute fecundities (28 and 51 eggs respectively) in both sides <strong>of</strong> <strong>the</strong> <strong>lake</strong>,<br />

where as for O. argyrosoma ‘red’ <strong>the</strong> highest mean value was observed in <strong>the</strong> south eastern side <strong>of</strong> <strong>the</strong> <strong>lake</strong>. These<br />

results provide circumstantial evidence that absolute fecundity <strong>of</strong> L. ‘pinkhead’ and C. cf. virginalis have not been<br />

affected much by high fishing intensity.<br />

Conclusions and recommendations<br />

The three dominant species breed throughout <strong>the</strong> year with distinct peaks occurring between July and October. From<br />

a fishery perspective, <strong>the</strong> high frequency occurrence <strong>of</strong> breeding females during July - October period suggested that<br />

<strong>the</strong> old closed season (January- March) was ineffective in protecting breeding females. As such, a new closed season<br />

for Lake Malombe (October- December) was adopted. It was also evident that <strong>the</strong> breeding peaks coincided with<br />

phytoplankton biomass peaks, suggesting that intraspecific competition for food between adults and juveniles is<br />

reduced during <strong>the</strong> period <strong>of</strong> greater fish abundance.<br />

Of <strong>the</strong> three species, females <strong>of</strong> L. ‘pinkhead’ and O. argyrosoma ‘red’ mature earlier than males irrespective <strong>of</strong> side<br />

<strong>of</strong> <strong>the</strong> <strong>lake</strong> while males <strong>of</strong> <strong>the</strong> three species attain sexual maturity at approximately <strong>the</strong> same size (79 mm). The<br />

relative small size at sexual maturity is <strong>of</strong> an advantage for <strong>the</strong> population because females are given a chance to<br />

spawn at least once before <strong>the</strong>y are caught. However, benefits <strong>of</strong> early maturation are limited in Lake Malombe due<br />

to <strong>the</strong> current high fishing pressure. According to Jennings & Beverton (1991), a reduction in size at 50% sexual<br />

maturity for females could be a direct consequence <strong>of</strong> overfishing or response to physical and biological<br />

characteristics <strong>of</strong> <strong>the</strong> environment. These views suggest that in overall, degradation <strong>of</strong> substratum and high fishing<br />

intensity may have caused a reduction in size at sexual maturity <strong>of</strong> L. ’pinkhead’ and O. argyrosoma ‘red’ in Lake<br />

Malombe.<br />

In conclusion, <strong>the</strong> south eastern side <strong>of</strong> <strong>the</strong> <strong>lake</strong> is characterised by low fishing intensity, muddy substratum and<br />

aquatic macrophytes. These factors appear to have been associated with greater abundance <strong>of</strong> breeding females and<br />

higher frequency <strong>of</strong> juveniles ra<strong>the</strong>r than fecundity and sex ratios. Considering <strong>the</strong>se results, it could be suggested<br />

that <strong>the</strong> existing sanctuary area, situated in <strong>the</strong> sou<strong>the</strong>rn part <strong>of</strong> Lake Malombe, should be extended. It is appreciated<br />

that <strong>the</strong> optimum size <strong>of</strong> <strong>the</strong> sanctuary has to be scientifically established. However, given <strong>the</strong> seriousness <strong>of</strong> <strong>the</strong><br />

situation, it is recommended that <strong>the</strong> sanctuary area boundary be increased immediately but in consultation with <strong>the</strong><br />

fishers. It is anticipated that enlarged and well managed sanctuary area will protect <strong>the</strong> unique aquatic environment<br />

in <strong>the</strong> south eastern side (which tends to be <strong>the</strong> breeding ground), <strong>the</strong> breeding fish stocks, and juveniles, hence<br />

prevent <strong>the</strong> total collapse <strong>of</strong> <strong>the</strong> fishery.<br />

Acknowledgements<br />

Special thanks are due to Mr O.K. Mhone and A. Phiri for <strong>the</strong>ir assistance in identifying fish species, weighing and<br />

measuring fish, and counting eggs. We sincerely thank Dr. Tony Booth and Mr. Dennis Tweddle who<br />

enthusiastically provided statistical advice and supervised data processing. Overseas Development Agency (ODA)<br />

funded this study.


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References<br />

Bagenal, T.B. 1978. Methods for assessment <strong>of</strong> fish production in freshwaters, IBP Handbook 3. Blackwell Scientific<br />

Publications Ltd., Oxford.<br />

Banda, M.C., Tomasson, T. & Tweddle, D. 1994. Assessment <strong>of</strong> trawl <strong>fisheries</strong> <strong>of</strong> <strong>the</strong> south east arm <strong>of</strong> Lake Malawi using<br />

exploratory surveys and commercial catch data. Conference on Inland Fisheries Stock Assessment, Hull England, April<br />

1994.<br />

Coulter, G.W. 1993. Report on Fisheries Research Strategies. The Government <strong>of</strong> Malawi Fisheries Department. ODA-FRAMS<br />

pp 58.<br />

Eccles, D.H. 1974. An outline <strong>of</strong> <strong>the</strong> physical limnology <strong>of</strong> Lake Malawi (Lake Nyasa). Limnol. Oceanogr., 19:730-742.<br />

Eccles, D.H. & Trewavas, E. 1989. Malawian cichlid fishes. The classification <strong>of</strong> some Haplochromine genera. Herten (W.<br />

Germany), Lake Fish movies.<br />

FAO. 1992. Fisheries Management in <strong>the</strong> South East Arm <strong>of</strong> Lake Malawi, <strong>the</strong> Upper Shire and Lake Malombe. CIFA Technical<br />

paper, Vol. 21 GOM/FAO/UNDP Chambo Fisheries Research Project.<br />

Fryer, G. & Iles, T.D. 1972. The Cichlid Fishes <strong>of</strong> <strong>the</strong> Great Lakes <strong>of</strong> Africa: Their Biology and Evolution, Oliver and Boyd.<br />

Edinburgh.<br />

Greenwood, H. 1974. Cichlid fishes <strong>of</strong> Lake Victoria, East Africa: <strong>the</strong> biology and evolution <strong>of</strong> a species flock. Bull. Br. Mus.<br />

nat. Hist. (Zool.), suppl., 6:1-134.<br />

Gulland, J.A. 1988. Fish Population Dynamics: The implication for <strong>management</strong>. Wiley, London.<br />

Jambo, C. 1997.<br />

King, M. 1995. Fisheries Biology, Assessment And Management. Fishing News Books. Pp341.<br />

Konings, A. 1988. Cichlids Of Lake Malawi. Tfh Publications. Neptune City. 495 Pp.<br />

Lande. 1981.<br />

Lowe-Mcconnell, R.H. 1987. Ecological Studies In Tropical Communities. Cambridge Uni. Press, Cambridge, 382 Pp.<br />

Marsh, B., Marsh, A.C. & Ribbink, A.J. 1986. Reproductive seasonality in a group <strong>of</strong> rock-frequenting cichlid fishes in Lake<br />

Malawi. J. Zool., London (A) 209:9-20.<br />

Mckaye, K.R. 1984. Behavioural aspects <strong>of</strong> cichlid reproductive strategies: patterns <strong>of</strong> territoriality and brood defence in Central<br />

American substratum spawners and African mouthbrooders. In: Fish Reproduction, (eds G.W. Potts and R.J. Wooten).<br />

Academic Press, London. pp245-273<br />

Mckaye, K.R. 1986. Mate choice and size assortative pairing by cichlid fishes <strong>of</strong> Lake Jilo'a, Nicaragua. J. Fish. Biol., 29<br />

(Supp.A), 135-50).<br />

Mwanyama, N.C. 1993. Relations entre les ressources alimentaires, I'alimentation et la reproduction des chambos (poissons<br />

tilapia's di genre Oreochromis dans les lacs Malawi et Malombe (Afrique centrale) Ph.D. <strong>the</strong>sis, Universite' de<br />

Provence-Axix-Marseille, 158p.<br />

Pitcher, T.J.& Hart, P.J.B. 1982. Fisheries Ecology, Croom Helm, Beckenham, 414 pp.<br />

Ribbink, A.J., Marsh, B.A., Marsh, A.C., Ribbink, A.C. & Sharp, B.J. 1983. A preliminary survey <strong>of</strong> <strong>the</strong> cichlid fishes <strong>of</strong> rocky<br />

habitats in Lake Malawi. S. Afr. J. Zool., 18:149-310.<br />

Sadovy, Y.J. 1996. Reproduction <strong>of</strong> reef fishery species. In: Reef Fisheries (eds N.V.C. Polunin and C.M. Roberts). Chapman &<br />

Hall.<br />

Turner, G.F. 1993. Teleost mating behaviour. In: Behaviour <strong>of</strong> Teleost Fishes (ed. T.J. Pitcher). Chapman & Hall, London.<br />

pp.307-331.<br />

Tweddle, D.& Turner, J.L. 1977. Age, growth and mortality rates <strong>of</strong> some cichlid fishes <strong>of</strong> Lake Malawi. J. Fish. Biol., 10:385-<br />

398.<br />

Tweddle, D., Turner, G.F. & Saisay, M.B.D. 1995. Changes in species composition and abundance as a consequence <strong>of</strong> fishing in<br />

Lake Malombe, Malawi. In: The Impact <strong>of</strong> Changes in African Lakes (eds. T.J. Pitcher and P.J.B. Hart). Chapman &<br />

Hall. London, pp413-424.


114<br />

Lake Malawi Fisheries Management Symposium - Proceedings<br />

Management Recommendations for <strong>the</strong> Nkacha Net Fishery <strong>of</strong> Lake Malombe<br />

Kissa R. Mwakiyongo 1 & Olaf L.F. Weyl 2<br />

1 Fisheries Research Unit, P.O. Box 27, Monkey Bay, Malawi, e-mail: fru@<strong>malawi</strong>.net<br />

2 National Aquatic Resource Management Programme, P.O. Box 27, Monkey Bay, Malawi, e-mail: narmapbay@<strong>malawi</strong>.net<br />

Abstract<br />

Fish catches from <strong>the</strong> nkacha net fishery on Lake Malombe were sampled on a monthly basis from March 2000 to January 2001.<br />

Although more than 60 species were identified, <strong>the</strong> catch composition was dominated (about 80%) by only five species. These were<br />

Copadichromis chrysonotus, C. virginalis, Lethrinops sp. ‘pinkhead’, Otopharynx argyrosoma and O. tetrastigma. This species<br />

composition was similar to that recorded in previous assessments and indicated a relative stability in <strong>the</strong> species that drive <strong>the</strong><br />

nkacha net fishery. This paper investigates size selectivity for ¼ inch and ¾ inch mesh size nkacha nets from a yield per recruit<br />

(YPR) perspective for three <strong>of</strong> <strong>the</strong> five species: C. virginalis, L. sp. ‘pinkhead’ and O. argyrosoma. Management recommendations<br />

for <strong>the</strong> Lake Malombe nkacha net fishery are made using two target reference points (TRPs), F0.1 and Fmax, derived from <strong>the</strong> YPR<br />

models.<br />

Introduction<br />

The Lake Malombe fishery has undergone dramatic changes both in gear use and in catch composition (Weyl et al.<br />

2001). Chambo seines and gill nets dominated <strong>the</strong> fishery up to <strong>the</strong> mid 1980s when chambo (Oreochromis spp.)<br />

was <strong>the</strong> mainstay <strong>of</strong> <strong>the</strong> fishery. With <strong>the</strong> collapse <strong>of</strong> <strong>the</strong> chambo fishery in Lake Malombe, kambuzi seines and<br />

nkacha nets became increasingly important and currently over 90 % <strong>of</strong> total fish catch is from nkacha nets (Weyl et<br />

al. 2001). However, even this fishery is considered to be declining in Lake Malombe with catches fluctuating<br />

between 2000 and 4000 tones from 1995 to 1999 and over <strong>the</strong> same period <strong>the</strong> number <strong>of</strong> kambuzi seines, chambo<br />

seines and nkacha nets have also declined (Weyl et al. 2000). The latest count (Weyl et al. 2000) shows 165 nkacha<br />

nets being operated in Lake Malombe and <strong>the</strong> Upper Shire River.<br />

Although <strong>the</strong> legal minimum mesh size for nkacha nets is ¾ inch (GOM 2000), <strong>the</strong> mesh size in most common use<br />

in nkacha nets is ¼ inch (pers obs.). This study investigates <strong>the</strong> species composition in nkacha net catches to<br />

determine whe<strong>the</strong>r <strong>the</strong>re have been major species composition changes over <strong>the</strong> last eight years and investigates <strong>the</strong><br />

effect <strong>of</strong> <strong>the</strong> dominance <strong>of</strong> <strong>the</strong> ¼-inch mesh size on <strong>the</strong> fishery.<br />

Methods<br />

Fish catches from <strong>the</strong> nkacha net fishery on Lake Malombe (14 o 29’–14 o 45’S, 35 o 12’–35 o 20’E), Malawi, were<br />

sampled (n=107) from ¼ inch and ¾ inch mesh size nkacha nets on a monthly basis from March 2000 to January<br />

2001. No sampling was carried out between 1 October and 31 December, 2000, as this period is closed to nkacha net<br />

fishing in Lake Malombe. In most cases <strong>the</strong> landed catch was sub-sampled and all fish in <strong>the</strong> sample were identified<br />

to species level, each species component <strong>of</strong> <strong>the</strong> catch was weighed and each fish was measured for total length (TL)<br />

in millimeters. Since, age and growth data were available for only three species in <strong>the</strong> <strong>lake</strong> Malombe fishery,<br />

Copadichromis virginalis, Lethrinops sp. ‘pinkhead’, and Otopharynx argyrosoma, fur<strong>the</strong>r analysis was restricted to<br />

<strong>the</strong>se species.<br />

Age specific selectivity<br />

Length-specific selectivity was estimated using cumulative length frequency distributions for Copadichromis<br />

virginalis, Lethrinops sp. ‘pinkhead’, and Otopharynx argyrosoma in <strong>the</strong> nkacha net fishery. For age-specific<br />

selectivity, length frequencies were converted to age-frequencies using <strong>the</strong> von Bertalanffy growth parameters<br />

determined by Jambo (1997). Both age- and length-specific selectivity was described by a logistic distribution as<br />

selectivity was assumed to increases to, and remain at, a maximum. The selectivity pattern <strong>of</strong> <strong>the</strong> nkacha net fishery<br />

was <strong>the</strong>refore assumed to be temportally invariant and described by <strong>the</strong> logistic function:<br />

S<br />

a<br />

=<br />

( ) 1<br />

−(<br />

a−φ<br />

) / σ −<br />

1+<br />

e<br />

where Sa is <strong>the</strong> selection <strong>of</strong> <strong>the</strong> gear on fish <strong>of</strong> age or length a, φ is <strong>the</strong> age- or length-at-50% selection and σ <strong>the</strong><br />

width <strong>of</strong> <strong>the</strong> selectivity function.


Per-Recruit analysis<br />

Yield-per-recruit (YPR) as a function <strong>of</strong> fishing mortality (F) were determined by:<br />

where N a<br />

~ is <strong>the</strong> relative proportion <strong>of</strong> fish at age a is defined recursively as:<br />

~<br />

N<br />

a<br />

⎧1<br />

⎪ ~<br />

= ⎨N<br />

⎪ ~<br />

⎩N<br />

a−1<br />

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where Sa is selectivity at age a, F is <strong>the</strong> instantaneous rate <strong>of</strong> fishing mortality on fully recruited cohorts, M is <strong>the</strong><br />

instantaneous rate <strong>of</strong> natural mortality and max is <strong>the</strong> maximum recorded age. In all per-recruit models <strong>the</strong> weightat-age<br />

was described by:<br />

Wa= α( la ) β<br />

e<br />

max−1<br />

−(<br />

M + S<br />

e<br />

a −1<br />

−(<br />

M + S<br />

F )<br />

max −1<br />

−(<br />

M + Sa<br />

F )<br />

[ 1 − e ] ( M + S F ) ∆a<br />

max<br />

~<br />

YPRF = wa<br />

S a FN<br />

a<br />

a<br />

∑<br />

a=<br />

0<br />

F )<br />

( 1 − e<br />

−(<br />

M + S<br />

max −1<br />

F )<br />

if a = 0<br />

if 1 ≤ a < max<br />

if a = max<br />

where la is <strong>the</strong> length-at-age determined by <strong>the</strong> von Bertalanffy growth equation and α and β are parameters<br />

∆ a <strong>of</strong> 1/12 th <strong>of</strong> a year.<br />

describing <strong>the</strong> length-weight relationship. All summations were conducted with a step size ( )<br />

)<br />

Input parameters used in YPR models for <strong>the</strong> three species in <strong>the</strong> Lake Malombe nkacha fishery are summarised in<br />

Table 1. Growth and mortality parameters were obtained from data presented in Jambo (1997), mortality estimates<br />

were derived from Weyl 2001, and all summations were run using 5 years to define <strong>the</strong> parameter for maximum age<br />

(max). Gear specific fishing effort was standardised to <strong>the</strong> effort exerted by one nkacha unit per year.<br />

Table 1. Input parameters used in per-recruit analysis for three species in <strong>the</strong> Lake Malombe nkacha<br />

fishery.<br />

Parameters C. virginalis L. pinkhead O. argyrosoma<br />

L ∞ Predicted asymptotic length<br />

146mm 118.4 101.7<br />

K Brody growth coefficient<br />

0.88 0.6 0.52<br />

Max Maximum age 5 5 5<br />

M Natural mortality rate 0.97 yr -1 0.62 yr -1 0.55 yr -1<br />

F Fishing mortality rate 1.59 yr -1 0.81 yr -1 0.71 yr -1<br />

Q Catchability coefficient 0.0096 0.0049 gear -1 .yr -1 0.0044 gear -1 .yr -1<br />

α Parameter for length/weight equation<br />

0.044687 0.02138 0.041687<br />

β<br />

,,<br />

2.33 2.7 2.33<br />

a50: ¼ Age-at-50%-selectivity<br />

0.706131 1.302769 1.891944<br />

bδ50: ¼ Width <strong>of</strong> <strong>the</strong> selectivity logistic ogive<br />

0.091881 0.241381 0.349569<br />

A50: ¾ Age-at-50%-selectivity<br />

0.68007 1.426617 2.054715<br />

δ50: ¾ inch Width <strong>of</strong> <strong>the</strong> selectivity logistic ogive<br />

0.086659 0.250679 0.345974


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Target Reference Points<br />

In order to determine target reference point (TRP) fishing mortality for <strong>the</strong> ¼ inch and ¾ inch mesh sizes, two<br />

TRP’s were investigated:<br />

1) F0.1 or marginal yield strategy which corresponds to <strong>the</strong> rate <strong>of</strong> fishing mortality at which <strong>the</strong> slope <strong>of</strong> <strong>the</strong><br />

YPR curve falls to 10% <strong>of</strong> its value at <strong>the</strong> origin.<br />

2) Fmax which corresponds with <strong>the</strong> asymptote <strong>of</strong> <strong>the</strong> YPR curve.<br />

Results<br />

Species selectivity<br />

Over sixty species <strong>of</strong> fish were identified in <strong>the</strong> nkacha net fishery, however only five dominated <strong>the</strong> catch. These<br />

were Copadichromis chrysonotus, C. virginalis, L. sp. ‘pinkhead’, O. argyrosoma and O. tetrastigma, each one <strong>of</strong><br />

which made up >5% <strong>of</strong> <strong>the</strong> catch (Table 2). The monthly trends in catch composition for <strong>the</strong> period March 2000 –<br />

January 2001 indicated that <strong>the</strong> five most dominant species toge<strong>the</strong>r made up between about 60% and 90% <strong>of</strong> <strong>the</strong><br />

total nkacha net catch (Figure 1).<br />

100<br />

90<br />

80<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

Relative abundance (%) O. tetrastigma O. argyrosoma L. sp. "pinkhead" C. virginalis C. chrysonotus O<strong>the</strong>rs<br />

Mar '00 Apr '00 May '00 Jun '00 Jul '00 Aug '00 Sep '00 Jan '01<br />

Month<br />

Figure 1. Monthly trends in catch composition (%) from March 2000 to January 2001.<br />

Size selectivity<br />

Size selectivity comparisons between ¼ inch and ¾ inch nkacha net mesh sizes for C. virginalis, L. sp. ‘pinkhead’<br />

and O. argyrosoma are shown in Figs. 2, 3 and 4, respectively. For C. virginalis, <strong>the</strong> mean selectivity for ¼ inch<br />

mesh size was 67 mm versus 66 mm for <strong>the</strong> ¾ inch mesh size (Figure 2). For L. sp. ‘pinkhead’ <strong>the</strong> mean<br />

selectivities for ¼ inch and ¾ inch mesh sizes were 64 mm and 67 mm, respectively (Figure 3). The mean<br />

selectivities <strong>of</strong> O. argyrosoma for ¼ inch and ¾ inch mesh sizes were, respectively, 63 mm and 66 mm (Figure 4).<br />

The very small mean size selectivity differences (1 mm – 3 mm) between ¼ inch and ¾ inch mesh sizes among <strong>the</strong><br />

three species demonstrates that <strong>the</strong>re is little or no influence on fish size selection by <strong>the</strong> two different mesh sizes.<br />

Age-at –selectivity is shown in Table 1.<br />

Per recruit analysis<br />

The YPR curves for ¼ inch and ¾ inch nkacha net mesh sizes for C. virginalis, L. sp. ‘pinkhead’ and O. argyrosoma<br />

are shown in Figure 6. The response <strong>of</strong> YPR to differences in <strong>the</strong> age at capture using ¼ inch or ¾ inch nkacha nets<br />

was marginal for <strong>the</strong> three species. The number <strong>of</strong> nkacha gear units calculated for <strong>the</strong> F0.1 and Fmax TRP’s for C.<br />

viginalis, L. sp. ‘pinkhead’ and O. argyrosoma are presented in Table 3. C. virginalis was <strong>the</strong> least resilient to


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increased fishing effort (F0.1 = 84-85 gears; Fmax = 154-160 gears), while O. argyrosoma was <strong>the</strong> most resilient (F0.1<br />

= 161-168 gears; Fmax = 348-395 gears) <strong>of</strong> <strong>the</strong> three species.<br />

(a)<br />

Frequency<br />

600<br />

500<br />

400<br />

300<br />

200<br />

100<br />

0<br />

0 20 40 60 80 100 120 140<br />

Total length (mm)<br />

Figure 2. Size selectivity <strong>of</strong> Copadichromis virginalis caught by (a) ¼ inch and (b) ¾ inch nkacha net<br />

mesh sizes in Lake Malombe.<br />

(a)<br />

Figure 3. Size selectivity <strong>of</strong> Lethrinops sp. ‘pinkhead’ caught by (a) ¼ inch and (b) ¾ inch nkacha net<br />

mesh sizes in Lake Malombe.<br />

(a)<br />

Frequency<br />

Frequency<br />

800<br />

600<br />

400<br />

200<br />

0<br />

600<br />

400<br />

200<br />

0<br />

0 20 40 60 80 100 120 140<br />

Total length (mm)<br />

0 20 40 60 80 100 120 140<br />

Total length (mm)<br />

Figure 4. Size selectivity <strong>of</strong> Otopharynx argyrosoma caught by (a) ¼ inch and (b) ¾ inch nkacha net<br />

mesh sizes in Lake Malombe.<br />

(b)<br />

(b)<br />

(b)<br />

Frequency<br />

Frequency<br />

Frequency<br />

100<br />

80<br />

60<br />

40<br />

20<br />

0<br />

150<br />

100<br />

50<br />

0<br />

120<br />

100<br />

80<br />

60<br />

40<br />

20<br />

0<br />

0 20 40 60 80 100 120 140<br />

Total length (mm)<br />

0 20 40 60 80 100 120 140<br />

Total length (mm)<br />

0 20 40 60 80 100 120 140<br />

Total length (mm)


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Table 2. Catch composition in <strong>the</strong> nkacha net fishery <strong>of</strong> Lake Malombe, all months combined. (n = 107<br />

catches)<br />

Family Species name (%) Family Species name (%)<br />

ANGUILLIDAE<br />

Anguilla nebulosa labiata 0.00<br />

CICHLIDAE cont.<br />

Oreochromis shiranus 1.17<br />

BAGRIDAE Bagrus meridionalis 0.29<br />

CHARACIDAE Brycinus imberi 0.08<br />

CICHLIDAE Astatotilapia calliptera 0.12<br />

Aulonocara guen<strong>the</strong>ri 0.98<br />

Aulonocara macrochir 0.10<br />

Buccochromis atritaeniatus 0.85<br />

Buccochromis nototaenia 0.18<br />

Copadichromis chrysonotus 17.98<br />

Copadichromis cyaneus 0.08<br />

Copadichromis trimaculatus 0.04<br />

Copadichromis virginalis 11.93<br />

Corematodus taeniatus 0.01<br />

Ctenopharynx intermedius 0.31<br />

Ctenopharynx nitidus 0.00<br />

Ctenopharynx pictus 0.01<br />

Dimidiochromis compreceps 0.06<br />

Dimidiochromis kiwinge 0.02<br />

Fossochromis rostratus 0.00<br />

Hemitaeniochromis discorhynchus 0.21<br />

Hemitilapia oxyrhynchus 0.01<br />

Lethrinops “deep water” altus 4.44<br />

Lethrinops lethrinus 1.55<br />

Lethrinops longipinnis 0.28<br />

Lethrinops macrochir 0.01<br />

Lethrinops parvidens 0.38<br />

CLARIIDAE<br />

CYPIRINIDAE<br />

Oreochromis spp. 0.52<br />

Oreochromis squamipinnis 0.88<br />

Otopharynx argyrosoma 7.60<br />

Otopharynx spp. 0.06<br />

Otopharynx tetraspilus 1.10<br />

Otopharynx tetrastigma 16.68<br />

Placidochromis subocularis 0.75<br />

Protomelas labridens 0.23<br />

Protomelas similis 0.33<br />

Protomelas triaenodon 0.02<br />

Rhamphochromis longiceps 0.53<br />

Rhamphochromis macrophthalmus 0.15<br />

Rhamphochromis spp. 0.32<br />

Sciaenochromis gracilis 0.02<br />

Stigmatochromis woodi 1.41<br />

Tilapia rendalli 0.00<br />

Tramitichromis lituris 0.13<br />

Trematocranus placodon 1.42<br />

Clarias gariepinus 0.67<br />

Bathyclarias longibarbis 0.00<br />

Bathyclarias spp. 0.00<br />

Barbus arcislongae 0.05<br />

Barbus litamba 0.16<br />

Engraulicypris sardella 0.83<br />

Opsaridium microcephalus 0.13<br />

Lethrinops sp. ‘pinkhead’ 23.97 MASTACEMBELIDAE Aethiomastacembelus shiranus 0.00<br />

Lethrinops spp. 0.03<br />

Maravichromis anaphyrmus 0.05<br />

Mylochromis mola 0.05<br />

Nyassachromis argyrosoma 0.66<br />

MOCHOKIDAE<br />

MORMYRIDAE<br />

Synodontis njassae 0.02<br />

Hippopotamirus discorhynchus 0.13<br />

Table 3. Number <strong>of</strong> gear units calculated for <strong>the</strong> F0.1 and Fmax TRPs for Copadichromis virginalis,<br />

Lethrinops sp. ‘pinkhead’ and Otopharynx argyrosoma in Lake Malombe.<br />

Number <strong>of</strong> gears<br />

Species F0.1 Fmax<br />

Copadichromis virginalis 84-85 154-160<br />

Lethrinops sp. ‘pinkhead’ 122-131 224-249<br />

Otopharynx argyrosoma 161-168 348-395


Yield-per-recruit<br />

2.5<br />

2.0<br />

1.5<br />

1.0<br />

0.5<br />

0.0<br />

0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8<br />

2.0<br />

1.6<br />

L. "spp" pinkhead<br />

F0.1 Fmax<br />

1.2<br />

0.8<br />

0.4<br />

0.0<br />

0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8<br />

1.2<br />

1.0<br />

O. argyrosoma<br />

F0.1 Fmax<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0.0<br />

C. virginalis<br />

F CUR<br />

F 0.1<br />

F CUR<br />

0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8<br />

F<br />

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Lake Malawi Fisheries Management Symposium - Proceedings<br />

Fmax<br />

F CUR<br />

1/4 inch mesh<br />

3/4 inch<br />

Figure 5. Yield per recruit curves for ¼ inch and ¾ inch mesh sizes nkacha nets for Copadichromis<br />

virginalis , Lethrinops sp. ‘pinkhead’ and Otopharynx argyrosoma in Lake Malombe.<br />

Discussion<br />

The use <strong>of</strong> TRPs for <strong>the</strong> <strong>management</strong> <strong>of</strong> a fishery is common practice (Caddy & Mahon 1995), and <strong>the</strong> Malawi<br />

Department <strong>of</strong> Fisheries recommends TRPs based on catch per unit effort (CPUE) in <strong>the</strong> small-scale fishery<br />

(Bulirani et al. 1999). The yield-per-recruit (YPR) approach allows for <strong>the</strong> determination <strong>of</strong> at least two commonly<br />

used TRPs: firstly, <strong>the</strong> fishing mortality which corresponds to <strong>the</strong> maximum <strong>of</strong> <strong>the</strong> yield-per-recruit curve (Fmax) and<br />

secondly, <strong>the</strong> marginal yield or F0.1 strategy (Gulland & Boerema 1973, Deriso 1987). The Fmax approach has<br />

received some criticism in <strong>the</strong> past (Punt 1993), and <strong>the</strong> F0.1 TRP is this is considered to be more robust <strong>management</strong><br />

strategy (King, 1995).<br />

It has long been recognised that when a single gear catches several different species it is impossible to manage each<br />

species at its optimum level (Murawski & Finn, 1988). This complicates <strong>the</strong> <strong>management</strong> <strong>of</strong> multi-species <strong>fisheries</strong>.<br />

One approach that has been applied in such cases is to manage <strong>the</strong> fishery according to <strong>the</strong> least resilient species<br />

(Weyl 1998). In <strong>the</strong> Lake Malombe scenario, C. virginalis was <strong>the</strong> least resilient <strong>of</strong> <strong>the</strong> three species and 85 nkacha<br />

nets are recommended if <strong>the</strong> species is to be managed at a F0.1 level. Based on surplus production models, Weyl et<br />

al. (2001) recommended 170 nkacha gear units for Lake Malombe in order to maintain a MSY <strong>of</strong> 5000 – 7000 tons.<br />

This study shows that from a YPR perspective, this level <strong>of</strong> fishing would exceed <strong>the</strong> F0.1 TRP for all three species<br />

(Table 2). Management at Fmax, for any <strong>of</strong> <strong>the</strong> three species, would allow for 150-160 gears which approximate<br />

Weyl et al.’s (2001) estimate for MSY. Since difference in selectivity <strong>of</strong> ¼- and ¾-inch meshes yielded only a<br />

marginal difference in YPR <strong>the</strong> failure <strong>of</strong> <strong>the</strong> nkacha net fishery to adopt <strong>the</strong> ¾-inch mesh nets is not considered<br />

drastic.


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

However, it should be recognized that <strong>the</strong> Fmax and F0.1 strategies do not take into account whe<strong>the</strong>r sufficient<br />

spawner biomass is conserved to ensure sufficient recruitment in <strong>the</strong> future (Deriso 1987, Sissenwine & Shepherd<br />

1987, Clarke 1991, Punt 1993). It is also recognised that <strong>the</strong> per-recruit approach has limitations, such as its<br />

assumption <strong>of</strong> constant recruitment (Perreiro 1992), and, <strong>the</strong>refore, its use as a predictive tool is limited to shortterm<br />

predictions. It is crucial that relevant long-term directed catch-at-age or –length data are collected, in all<br />

<strong>fisheries</strong>, to allow for <strong>the</strong> combination <strong>of</strong> <strong>the</strong> per-recruit data with o<strong>the</strong>r age-structured models in order to provide<br />

more accurate, comprehensive and sustainable strategies for long-term <strong>management</strong>.<br />

Acknowledgements<br />

We should like to thank Mr. Davis S. Mandere for help in fish identification. We also extend our gratitude to all <strong>the</strong><br />

research and support staff who assisted in <strong>the</strong> programme. This study was funded by <strong>the</strong> Fisheries Department and<br />

<strong>the</strong> National Aquatic Resource Management Programme (NARMAP).<br />

References<br />

Bulirani, A.E., Banda, M.C., Palsson, O.K., Weyl, O.L.F., Kanyerere, G.Z., Manase, M.M. & Sipawe, R.D. 1999. Fish Stocks<br />

and Fisheries <strong>of</strong> Malawian Waters: Resource Report. Government <strong>of</strong> Malawi, Fisheries Department, Fisheries Research<br />

Unit.54pp.<br />

Caddy, J.F. & Mahon, R. 1995. Reference points for <strong>fisheries</strong> <strong>management</strong>. FAO Fisheries Technical Paper No. 347, Rome,<br />

FAO. 83 pp.<br />

Clark, W.G. 1991. Groundfish exploitation rates based on life history parameters. Can. J. Fish. Aquat. Sci. 48: 734-750.<br />

Deriso, R.B. 1987. Optimal F0.1 criteria and <strong>the</strong>ir relationship to maximum sustainable yield. Can. J. Fish. Aquat. Sci. 44 (Suppl.<br />

2): 339-348.<br />

FAO. 1993. Fisheries <strong>management</strong> in south-east Lake Malawi, <strong>the</strong> Upper Shire River and Lake Malombe, with particular<br />

reference to <strong>the</strong> <strong>fisheries</strong> on chambo (Oreochromis spp.). CIFA Tech. Pap. 21. FAO, Rome. 113 pp.<br />

Gulland, J.A. & Boerema, L.K. 1973. Scientific advice on catch levels. Fish. Bull. 71: 325-335.<br />

Jambo, C.J. 1997. Aspects <strong>of</strong> <strong>the</strong> ecology and reproductive biology <strong>of</strong> three cichlid fish species <strong>of</strong> sou<strong>the</strong>rn Lake Malombe<br />

(Malawi). M.Sc. Thesis. Rhodes University, Grahamstown, South Africa. 126 pp.<br />

King, M. 1995. Fisheries biology, assessment and <strong>management</strong>. Fishing News Books, Oxford. 341 pp.<br />

Murawski, S.A. & Finn, J.T. 1988. Biological bases for mixed-species <strong>fisheries</strong>: species co-distribution in relation to<br />

environmental and biotic variables. Can. J. Fish. Aquat. Sci., 45: 1720-1735.<br />

Pereiro, J.A. 1992. Some conceptual remarks on yield per recruit. Fish. Res. 13: 423-428.<br />

Punt, A.E. 1993. The use <strong>of</strong> spawner-biomass-per-recruit in <strong>the</strong> <strong>management</strong> <strong>of</strong> line<strong>fisheries</strong>. Special Publication <strong>of</strong> <strong>the</strong><br />

Oceanographic Research Institute, Durban, 2: 80-89.<br />

Sissenwine, M.P. & Shepherd, J.G. 1987. An alternative perspective on recruitment overfishing and biological reference points.<br />

Can. J. Fish. Aquat. Sci. 44: 913-918.<br />

Weyl, O.L.F. 1998, The dynamics <strong>of</strong> a sub-tropical <strong>lake</strong> fishery in central Mozambique. PhD Thesis, Rhodes University, 200p.<br />

Weyl, O.L.F. 2001. Mortality rates and catchability coefficients for three major target species in <strong>the</strong> nkacha net fishery <strong>of</strong> Lake<br />

Malombe. National Aquatic Resource Management Programme (NARMAP) Working Paper No. 3. 7 pp.<br />

Weyl, O.L.F., Banda, M., Sodzabanja, G., Mwenekibombwe, L.H., Namoto, W. & Mponda, O.C. 2000. Annual frame survey:<br />

September 1999. Fisheries Bulletin No. 42. Department <strong>of</strong> Fisheries , Lilongwe, Malawi. 56+23 pp.<br />

Weyl, O.L.F., Banda, M.C., Manase, M., Namoto, W. & Mwenekibombwe, L.H. 2001. Analysis <strong>of</strong> catch and effort data for <strong>the</strong><br />

<strong>fisheries</strong> <strong>of</strong> Lake Malombe, 1976-1999. Fisheries Bulletin No. 45. Department <strong>of</strong> Fisheries , Lilongwe, Malawi. 53 pp.


121<br />

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Drifting Long Line, A Potential Fishing Method for <strong>the</strong> Nor<strong>the</strong>rn Part <strong>of</strong> Lake<br />

Nyasa/Malawi/Niassa<br />

K.J. Kihedu, M.K.L. Mlay, J.A. Mwambungu and B.P. Ngatunga<br />

Tanzania Fisheries Research Institute, Kyela Centre, P.O. Box 98, Kyela, Mbeya Region, East Africa<br />

Abstract<br />

Fishing gears commonly used in <strong>the</strong> Tanzanian Waters <strong>of</strong> Lake Nyasa consist <strong>of</strong> open water seine nets (Ndaturu/Pajero)) gillnets<br />

(vilepa) traps (migono) beach seine nets (kokoro) and hook and line (ndoano). These methods <strong>of</strong> fishing exploit mainly <strong>the</strong> near<br />

shore and riverine species. Based on recommendation <strong>of</strong> <strong>the</strong> UK/SADC Pelagic Fish Resource Assessment Project on <strong>the</strong> use <strong>of</strong><br />

drifting long line to exploit <strong>of</strong>fshore fish communities, trial fishing was carried out <strong>of</strong>f Lupingu, Ikombe, Manda and Mbamba-bay<br />

villages in Tanzania. The results were encouraging and <strong>the</strong>y are presented and discussed. With a mean daily catch rate <strong>of</strong><br />

5.8 kg/100 hooks/2hours <strong>of</strong> fishing, this method proved to local fishermen to be more pr<strong>of</strong>itable and environmentally friendly than<br />

using <strong>the</strong> destructive beach seine nets.<br />

Introduction<br />

Lake Nyasa is <strong>the</strong> most sou<strong>the</strong>rn <strong>of</strong> <strong>the</strong> African great <strong>lake</strong>s situated in <strong>the</strong> rift valley <strong>of</strong> East Africa. It lies between<br />

9° 30'S and 14° 30'S. It is <strong>the</strong> third largest <strong>lake</strong> in Africa with respect to surface area and <strong>the</strong> second most<br />

voluminous. The <strong>lake</strong> is long and narrow with an approximate length <strong>of</strong> 550 km and a mean width <strong>of</strong> 50-60 km.<br />

With a surface area <strong>of</strong> 28 800 km² and a volume <strong>of</strong> 8 400 km³ it gives an average depth <strong>of</strong> 292 m. (Menz 1995). The<br />

maximum depth is given as 785 m by Gonfiatini et al. (1979), with deepening <strong>of</strong> <strong>the</strong> basin towards <strong>the</strong> north.<br />

Tanzanian shoreline <strong>of</strong> Lake Nyasa extend 300 km in <strong>the</strong> north west to north east. Most <strong>of</strong> <strong>the</strong> inshore area <strong>of</strong> <strong>the</strong><br />

<strong>lake</strong> on <strong>the</strong> Tanzanian side is very deep with few patches <strong>of</strong> shallow zones especially around <strong>the</strong> mouths <strong>of</strong> rivers<br />

Songwe, Kiwira, Mbaka, Rufilyo and Ruhuhu.<br />

The <strong>fisheries</strong> <strong>of</strong> <strong>the</strong> <strong>lake</strong> are very varied exploiting most <strong>of</strong> <strong>the</strong> inshore water communities as well as <strong>the</strong> river<br />

running species and some <strong>of</strong>fshore communities.<br />

Most <strong>of</strong> <strong>the</strong> fishing in Tanzanian waters <strong>of</strong> <strong>the</strong> Lake is done with dug-out canoes. Fishing gears commonly in use<br />

consist <strong>of</strong> open water seine nets, gillnets, beach seine nets, traps and hooks. Longline has been used in Lake Nyasa<br />

to catch fish mainly catfishes (Bagrus meridionalis, Clarias species and Bathyclarias species). No pelagic longline<br />

has been reported on Lake Nyasa (ICLARM and GTZ 1991). The UK/SADC pelagic Fish Resource Assessment<br />

Project had recommended fishing with pelagic handline or longline using usipa or some o<strong>the</strong>r fish as bait in catching<br />

Rhamphochromis spp. especially <strong>the</strong> larger individuals that occur in 100-200 m <strong>of</strong> water (UK/SADC interim report,<br />

1993).<br />

Acoustic evidence strongly suggests that fish biomass fur<strong>the</strong>r <strong>of</strong>fshore remained relatively constant (Rufli, 1982).<br />

The fish in <strong>the</strong> Pelagic zone formed a simple but highly structured community. Fish biomass <strong>of</strong> <strong>the</strong> pelagic zone <strong>of</strong><br />

Lake Nyasa was estimated to be 90 kg/ha (Rufli and Vitullo, 1982). Fish stocks in Lake Nyasa still seem to be high<br />

enough suggesting that <strong>the</strong> fish are less heavily exploited in <strong>the</strong> <strong>lake</strong> especially in <strong>the</strong> pelagic zone.<br />

Materials and Methods<br />

Fishing was conducted in <strong>the</strong> Tanzanian pelagic waters <strong>of</strong> Lake Nyasa in Ludewa district <strong>of</strong>f Lupingu village<br />

(Figure 1). An 18 footer rubber dingy mounted with a 30Hp Yamaha out-board petrol engine was used during<br />

fishing operations. Three gangs <strong>of</strong> longlines each consisting <strong>of</strong> 100 hooks <strong>of</strong> sizes No. 7, No 11 and No. 13 were<br />

constructed. According to <strong>the</strong> numbering system <strong>of</strong> hooks number 7 was <strong>the</strong> largest and number13 <strong>the</strong> smallest. For<br />

each gang, hooks were attached to 0.5 mm thick mon<strong>of</strong>ilament line and individually hang 4m apart on a 0.8mm<br />

thick mon<strong>of</strong>ilament line 400 m long. During <strong>the</strong> fishing operations <strong>the</strong> three gangs were joined toge<strong>the</strong>r to constitute<br />

a line 1200 m long. Each line was suspended at each end on a rope 4 x100 m deep attached to a surface buoy with a<br />

flag at both ends (fig.3). The hooks were baited with Engraulicypris sardella ‘usipa’, a bait known to be preferred<br />

by most <strong>of</strong> <strong>the</strong> predator fish found in <strong>the</strong> <strong>lake</strong>.<br />

The long line was set early in <strong>the</strong> morning at <strong>the</strong> depth <strong>of</strong> 100 m at a point where <strong>the</strong> water depth was 130 m or more<br />

targeting for any available predatory fish at that depth. The longline was left in <strong>the</strong> water for 2hrs before hauling.<br />

This is considered as <strong>the</strong> maximum time <strong>the</strong> fish is allowed to feed and taking into consideration that <strong>the</strong> quality <strong>of</strong><br />

<strong>the</strong> bait deteriorates with time (Allison et al. 1995).<br />

The total catch from each longline was weighed and <strong>the</strong>n sorted into species and <strong>the</strong> total length <strong>of</strong> each fish was<br />

recorded. These data were prerequisite for <strong>the</strong> information required; <strong>the</strong> catch rate and catch composition.


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The same method was employed when setting drifting longlines at Ikombe, Manda and Mbamba-bay (Fig.1). In<br />

<strong>the</strong>se demonstrations however hooks No.13, 11 and 9 were employed instead <strong>of</strong> hook sizes No.13, 11 and 7 set at<br />

Lupingu.<br />

Malawi<br />

Kyela<br />

Itungi port Matema<br />

Nkanda<br />

Ludewa<br />

Lupingu<br />

Manda<br />

Figure 1. Lake Nyasa (Tanzania side).<br />

Results and Discussion<br />

TANZANIA<br />

Mbinga<br />

Mbamba-bay<br />

MOZAMBIQUE<br />

Catch rates<br />

Catch rates (kg/300 hooks/2 hours) for <strong>the</strong> three longlines from pelagic waters <strong>of</strong> Lake Nyasa <strong>of</strong>f Lupingu village<br />

(Ludewa district) set for three weeks in August/September, 1995 are shown in Table 1. Total daily catch ranged<br />

between 279kg/300h/2hrs and 13.5kg/300h/2hrs (mean = 5.759kg/300h/2hrs). Catches were higher in hook size<br />

umber 11 (Average catch rate = 2.63kg/100h/2hrs) and least in hook size number 7 (Average catch rate =<br />

0.99kg/100h/2hrs). There is no significant difference in catches with respect to varied water depth, wea<strong>the</strong>r and<br />

station (t-test; p.0.05).<br />

Table 1: Catch rates (kg/100 hooks/2 hours) for three different sizes <strong>of</strong> hooks from pelagic waters <strong>of</strong><br />

Lake Nyasa <strong>of</strong>f Lupingu village (Ludewa district) caught in August/September, 1995.<br />

LL 7 LL 11 LL 13 TOTAL<br />

Date Cruise No. Depth. Wea<strong>the</strong>r Station Weight Station Weight Station Weight<br />

22.8.95AM 1 140m Strong wind 1 3.5 3 7.29 2 2.25 13.50<br />

23.8.95AM 2 140m Strong wind 1 0.00 2 1.05 3 1.74 2.79<br />

24.8.95AM 3 180m Calm 2 1.00 3 0.15 1 1.33 3.48<br />

25.8.95AM 4 150m Calm 3 0.00 1 2.46 2 0.85 3.41<br />

26.8.95AM 5 130m Calm 3 0.35 2 4.17 1 2.94 7.46<br />

27.8.95AM 6 130m Calm 2 0.58 1 1.73 3 1.16 3.47<br />

28.8.95AM 7 160m Strong wind 1 0.85 2 0.92 3 1.37 5.14<br />

29.8.95AM 8 150m Strong wind 2 1.05 3 0.90 1 2.38 4.33<br />

30.8.95AM 9 135m Strong wind 3 1.36 2 7.21 1 4.54 13.11<br />

31.8.95AM 10 130m Calm 3 0.44 1 1.05 2 1.70 3.19<br />

1.9.95AM 11 150m Calm 3 0.00 2 2.12 1 1.95 4.07<br />

2.9.95AM 12 140m Calm 3 0.00 1 0.4 2 3.31 3.71<br />

2.9.95PM 13 130m Calm 3 0.00 1 2.45 2 0.90 3.35<br />

3.9.95AM 14 150m Calm 3 0.00 1 7.10 2 1.90 9.00<br />

4.9.95AM 15 160m Calm 2 0.84 1 0.40 3 2.97 4.21<br />

5.9.95AM 16 140m Calm 1 6.52 3 3.11 2 2.20 11.83<br />

6.9.95AM 17 130m Strong wind 2 0.36 3 2.22 1 1.80 4.38<br />

TOTAL WEIGHT 16.86 44.73 35.29 100.43<br />

AVERAGE WEIGHT (KG) 0.99 2.63 2.08 575.90


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Catch composition<br />

Catch composition <strong>of</strong> fish caught in three hook lines is summarized in Table 2. The species caught contribute five<br />

families out <strong>of</strong> <strong>the</strong> ten considered to exist in Lake Nyasa. The families are cichlidae (Rhamphochromis and<br />

Lethrinops), Clarridae (Clarias spp.) (Bathyclarias sp.), Bagridae (Bagrus meridionalis), Mochokidae (Synodontis<br />

njassae) and Cyprinidae (Opsaridium spp.). From all three longlines <strong>the</strong> catch composition showed that <strong>the</strong><br />

predatory cichlids <strong>of</strong> <strong>the</strong> genus Rhamphochromis are more common in <strong>the</strong> catches followed by clariid catfishes,<br />

Bathyclarias spp. O<strong>the</strong>r fish in <strong>the</strong> catch included Bagrus meridionalis, Synodontis njassae, Clarias spp., Lethrinops<br />

spp. and <strong>the</strong> predatory cyprinids Opsaridium microlepis and O.microcephalum. Hook number 7 caught more bigger<br />

fish Bagrus meridionalis, number 11 caught more medium sized fish, Rhamphochromis ferox while small fish-<br />

Rhamphochromis longiceps was caught mainly on hook number 13.<br />

Table 2. The size composition <strong>of</strong> fish caught in three hook lines <strong>of</strong>f Lupingu village in August/September,<br />

1995<br />

Family Genus/Species Weight (Kg/haul) and numbers/haul per 100<br />

hooks<br />

Line No. 7 Line No. 11 Line No. 13<br />

Kg. No. Kg. No. Kg. No.<br />

Claridae Bathyclarias spp. 0.01 0.07 1.19 0.41 0.29 0.24<br />

Clarias spp. 0.09 0.07 0.00 0.00 0.00 0.00<br />

Bagridae Bagrus meridionalis 0.53 0.60 0.15 0.24 0.30 0.18<br />

Mochokidae Syodontis njassae 0.00 0.00 0.01 0.06 0.01 0.06<br />

Cichlidae Rhamphochromis spp 0.35 0.97 1.30 3.53 1.32 3.52<br />

Lethrinops spp. 0.11 0.13 0.06 0.41 0.07 0.35<br />

Cyprinidae Opsaridium microcephalum 0.00 0.00 0.00 0.00 0.02 0.06<br />

Opsaridium microlepis 0.00 0.00 0.01 0.06 0.00 0.02<br />

TOTAL 1.08 2.62 2.07<br />

Length distribution<br />

Catch rates (Kg /300hooks/2hrs) for three longlines from pelagic waters <strong>of</strong> Lake Nyasa <strong>of</strong>f Nkanda village (Kyela<br />

district) set for 12 days in October, 1998. Deductions as Shown in Table 3 show that <strong>the</strong> total daily catch ranged<br />

between 2.2 kg/300 h/2 hours and 18.95 kg/300 hooks/2 hours (Mean = 9:40 kg/300 hooks/2 hours). Catches were<br />

higher in hook size number 13 (Average catch rate = 3.61 kg/100h/2 hours) and least in hook size No. 9 (average<br />

catch rate = 2.57 kg/100 hooks/2 hours).<br />

The catch composition <strong>of</strong> fish caught from <strong>the</strong> three gangs <strong>of</strong> long lines from <strong>the</strong> pelagic waters <strong>of</strong> Lake Nyasa <strong>of</strong>f<br />

Nkanda Village (Kyela district) set for two weeks in October 1998 is summarized in Table 4. The species caught<br />

include Rhamphochromis and Lethrinops (cichlidae), Bathyclarias spp. (claridae), Bagrus meridionalis (bagridae)<br />

and Synodonts njassae (mochokidae). The catch composition show that Bagrus meridionalis was more common in<br />

<strong>the</strong> catches followed by predatory cichlid <strong>of</strong> <strong>the</strong> genus Rhamphochromis and by clariid catfishes, Bathyclarias spp.<br />

Table 3. Catch rates (Kg/100 hooks/2 hours) for three different sizes <strong>of</strong> hooks from Pelagic Waters <strong>of</strong><br />

Lake Nyasa <strong>of</strong>f Nkanda Village (Kyela District) caught in October, 1998.<br />

LL 9 LL 11 LL 13<br />

Date Cruise No. Water Station Weight Station Weight Station Weight Total<br />

Depth.<br />

Weight<br />

8.10.98 1 120m 3 0.50 2 2.30 1 4.90 7.70<br />

9.10.98 2 120m 2 0.10 1 0.15 3 -<br />

0.25<br />

12.10.98 3 119m 3 0.70 1 1.55 2 1.75 4.00<br />

13.10.98 4 120m 1 2.35 3 8.61 2 4.45 15.41<br />

14.10.98 5 120m 1 3.65 2 2.55 3 1.05 7.25<br />

15.10.98 6 120m 2 9.15 1 2.75 3 4.22 16.12<br />

16.10.98 7 120m 3 0.46 1 2.15 2 2.45 5.06<br />

17.10.98 8 123m 3 5.10 1 7.85 2 6.00 18.95<br />

18.10.98 9 120m 2 4.05 1 5.25 3 5.95 15.25<br />

21.10.98 10 120m 1 4.30 3 1.25 2 5.45 11.00<br />

21.10.98 11 120m 3 0.45 1 1.50 2 0.25 2.20<br />

22.10.98 12 120m 3 1.50 2 1.90 3 2.05 5.45<br />

TOTAL WEIGHT 32.31 37.81 38.52 107.09<br />

AVERAGE WEIGHT(KG) 2.68 3.02 3.21 8.92


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Table 4. The catch composition <strong>of</strong> fish caught in three hook lines <strong>of</strong>f Nkanda village in October, 1998<br />

Family Genus/Species Weigh (kg/haul) and numbers/haul per 100 hooks<br />

Line No. 9 Line No. 11 Line No. 13<br />

Kg. No. Kg. No. Kg. No.<br />

Claridae Bathyclarias spp. 0.45 0.38 0.43 0.54 0.77 0.38<br />

Bagridae Bagrus meridionalis 1.80 3.50 2.48 5.08 2.05 3.77<br />

Mochokidae Synodontis njassae 0.00 0.00 0.00 0.00 0.02 0.15<br />

Cichlidae Diplotaxodon spp. 0.00 0.08 0.05 0.31 0.02 0.31<br />

Rhamphochromis spp. 0.28 0.77 0.13 0.62 0.38 0.92<br />

Lethrinops spp. 0.04 0.31 0.13 0.62 0.01 0.15<br />

TOTAL: 2.57 3.22 3.61<br />

Catch rates ( Kg/300hooks/2hrs) for three longlines from pelagic waters <strong>of</strong> Lake Nyasa <strong>of</strong>f Manda village (Ludewa<br />

district) set for 14 days ( June/July 1999) are shown in Table 5, <strong>the</strong> daily catch ranged between 2.70 kg/300 hooks/2<br />

hours and 33.73 kg/300 hooks/2 hours. (Mean = 16.33 kg/300 hooks/2 hours). Catches were higher in hook size<br />

number 9 (average catch rate = 5.58 kg/100 hooks/2 hours) and least in hook size number 11 (average catch rate =<br />

5.24 kg/100 hooks/2 hours).<br />

The catch composition summarized in Table 6 below. Species caught include Rhamphochromis, Diplotaxodon,<br />

Lethrinops (Cichlidae), Bathyclarias spp. and Clarias (Claridae), Bagrus meridionalis (Bagridae) and Synodontis<br />

njassae (Mochokidae). The catch composition showed that Bagrus meridionalis was more common in <strong>the</strong> catches<br />

followed by Rhamphochromis followed by Diplotaxodon and by clariid catfishes Clarias and Bathyclarias. spp.<br />

Catch rates (Kg/300hooks/2hrs) for three sets <strong>of</strong> longlines from pelagic waters <strong>of</strong> Lake Nyasa <strong>of</strong>f Mhalo village<br />

(Mbamba-bay) Mbinga district set for 9 days May,2000. Table 7, show <strong>the</strong> daily catch ranged between 1.41 kg/300<br />

hooks/2 hours and 6.72 kg/300 hooks/2 hours (Mean = 3.68 kg/300 hooks/2 hours). Catches were higher in hook<br />

size No. 13 (average catch rate 1.57 kg/100 hooks/2 hours) and least in hook size No. 9 (average catch rate<br />

0.97 kg/100 hours/2 hours).<br />

Table 5. Catch rates (kg/100 hooks/2 hours) from three different sizes <strong>of</strong> hooks from Pelagic Waters <strong>of</strong><br />

Lake Nyasa <strong>of</strong>f Fokland (Manda) caught in June-July, 1999<br />

Date Cruise Water Long Line<br />

Long Line<br />

Long Line<br />

Total<br />

No. Depth(m) Hook No. 9 Hook No. 11 Hook No. 13 Weight<br />

Station Weight Station Weight Station Weight<br />

No. (kg) No. (kg) No. (kg)<br />

20.06.99 1 120 3 4.50 2 0.95 1 0.25 6.40<br />

21.06.99 2 115 3 4.25 2 - 1 - 4.25<br />

22.06.99 3 115 3 6.03 1 13.57 2 11.93 31.53<br />

23.06.99 4 115 1 18.28 2 1.90 3 - 20.18<br />

24.06.99 5 110 2 6.45 1 6.59 3 14.09 27.13<br />

25.06.99 6 110 2 0.30 1 10.20 3 1.35 11.85<br />

26.06.99 7 110 1 6.62 2 2.50 3 0.49 9.61<br />

27.06.99 8 115 1 1.81 2 0.45 3 0.90 3.16<br />

02.07.99 9 110 1 0.33 2 1.38 3 0.99 2.70<br />

03.07.99 10 115 1 3.12 2 8.30 3 11.45 22.87<br />

04.07.99 11 120 1 2.69 2 8.84 3 4.49 16.02<br />

05.07.99 12 110 2 6.75 1 8.34 3 8.31 23.40<br />

06.07.99 13 115 2 3.55 1 3.55 3 8.62 15.72<br />

07.07.99 14 115 1 13.40 2 6.74 3 13.59 33.73


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Table 6. The catch composition <strong>of</strong> fish caught in three hook line <strong>of</strong>f Forkland-Manda in June-July, 1999<br />

Family Genus/Species Weight (kg/haul) and number/haul per 100 hooks<br />

Line No. 9 Line No. 11 Line No. 13<br />

Kg. No. Kg. No. Kg. No.<br />

Claridae Bathyclarias spp. 0.69 0.57 1.01 0.50 0.84 0.43<br />

Clarias spp. 0.94 0.93 1.14 0.93 0.15 0.21<br />

Bagridae Bagrus meridionalis 3.44 3.07 2.17 2.64 2.96 2.71<br />

Mochokidae Syonodontis njassae - - 0.04 0.07 0.01 0.07<br />

Cichilidae Rhamphochromis spp. 0.16 0.50 0.65 2.43 1.26 3.64<br />

Diplotaxodon spp. 0.04 0.57 0.06 0.50 0.13 1.29<br />

Lethrinops spp. 0.08 0.36 0.02 0.14 0.11 0.50<br />

O<strong>the</strong>rs 0.09 0.21 0.04 0.14 - -<br />

The catch composition <strong>of</strong> fish caught from <strong>the</strong> three sets <strong>of</strong> long lines from <strong>the</strong> pelagic waters <strong>of</strong> Lake Nyasa <strong>of</strong>f<br />

Mhalo – Mbamba-bay (Mbinga district) set for 9 days in February 2000 is summarized in Table 8.<br />

Species caught include: Rhamphochromis, Diplotaqxodon and Lethrinops (Cichlidae) Bathyclarias spp. and Clarias<br />

(Claridae) and Bagrus meriodionalis (Bagridae). The catch composition showed that Rhamphochromis spp. were<br />

more common in <strong>the</strong> catches (actually dominating <strong>the</strong> catches) followed by Diplotaxodon and by Lethrinops spp.<br />

As pointed out earlier Rhamphchromis species were considered more abundant for long line fishery in <strong>the</strong> pelagic<br />

waters <strong>of</strong> Lake Nyasa. The setting <strong>of</strong> <strong>the</strong>se demonstrations thus took into consideration feeding habits <strong>of</strong> this<br />

predatory cichlid. The major feeding period <strong>of</strong> which is in <strong>the</strong> morning and a minimum peak in <strong>the</strong> afternoon.<br />

However as observed from <strong>the</strong> catch composition Bagrus meridionalis was more common. Important also are <strong>the</strong><br />

clariid catfishes Bathyclarias species and Clarias species. Since <strong>the</strong>y constitute significantly to <strong>the</strong> long line catches<br />

in <strong>the</strong> nor<strong>the</strong>rn part <strong>of</strong> <strong>the</strong> <strong>lake</strong>, it is imperative to consider <strong>the</strong>ir feeding behaviour in future demonstrations.<br />

Table 7. Catch rates (kg/100 hooks/2 hours from three different sizes <strong>of</strong> hooks from Pelagic Waters <strong>of</strong><br />

Lake Nyasa <strong>of</strong>f Mhalo (Mbamba-bay) caught in May, 2000<br />

Date Cruise Water Long Line Hook Long Line Hook Long Line Hook Total<br />

No. Depth(m) No. 9<br />

No. 11<br />

No. 13<br />

Weight<br />

Station Weight Station Weight Station Weight<br />

No. (kg) No. (kg) No. (kg)<br />

8.02.2000 1 120 1 0.51 2 1.70 3 2.46 4.67<br />

9.02.2000 2 115 3 1.73 2 0.65 1 0.51 2.89<br />

10.02.2000 3 120 3 - 2 0.50 1 0.91 1.41<br />

11.02.2000 4 120 3 1.69 2 0.53 1 2.08 4.30<br />

12.02.2000 5 120 1 - 2 2.77 3 3.95 6.72<br />

13.02.2000 6 120 1 0.28 2 0.82 3 1.49 2.59<br />

16.02.2000 7 120 1 2.27 3 2.50 2 0.95 5.72<br />

17.02.2000 8 120 2 0.35 1 0.25 3 1.05 1.65<br />

18.02.2000 9 130 3 1.90 1 0.60 2 0.70 3.20<br />

Table 8. The catch composition <strong>of</strong> fish caught in three hook lines <strong>of</strong>f Mhalo-Mbamba-bay in February,<br />

2000<br />

Family Genus/Species Weight (kg/haul) and numbers (haul/100 hooks)<br />

Line No. 9 Line No. 11 Line No. 13<br />

Kg. No. Kg. No. Kg. No.<br />

Claridae Bathyclarias spp. 0.16 0.11 - - - -<br />

Clarias spp. 0.04 0.11 - - - -<br />

Bagridae Bagrus meridionalis 0.04 0.11 - - - -<br />

Cichilidae Rhamphochromis spp. 0.64 2.00 0.98 3.33 1.96 4.22<br />

Diplotaxodon spp. 0.03 0.11 0.06 0.22 0.03 0.22<br />

Lethrinops spp. 0.06 0.22 - - - -


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Table 9. Range and mean <strong>of</strong> total lengths (cm) <strong>of</strong> fish caught by long line fishery from Pelagic Waters <strong>of</strong><br />

Lake Nyasa <strong>of</strong>f Nkanda/Ikombe in October, 1998.<br />

Fish Species Range Mean N.<br />

Bagrus meridionalis 18.0 – 84.0 37.1 154<br />

Rhamphochromis spp. 20.0 – 45.0 31.7 33<br />

Clarias spp. 28.0 – 72.0 59.5 14<br />

Diplotaxodon spp. 16.0 – 23.0 19.1 9<br />

Synodontis njassae 13.0 – 18.0 15.0 3<br />

Haplochromis spp. 16.0 – 28.0 23.5 14<br />

Table 10. Range and mean <strong>of</strong> total lengths (cm) <strong>of</strong> fish caught by long line fishery from Pelagic Waters <strong>of</strong><br />

Lake Nyasa <strong>of</strong>f Fokland (Manda) in June- July, 1999.<br />

Fish Species Range Mean N.<br />

Bagrus meridionalis 19.0 – 66.5 40.7 118<br />

Rhamphochromis spp. 17.0 – 45.0 31.64 92<br />

Clarias sp. 19.0 – 90.0 61.0 23<br />

Diplotaxodon spp. 13.5 – 26.0 19.3 34<br />

Bathyclaria spp. 36.0 – 87.5 59.5 21<br />

Lethrinops spp. 11.0 – 27.5 23.1 14<br />

Synodontis njassae 13.0 – 15.0 14.0 2<br />

Haplochromis spp. 21.0 – 34.5 29.3 5<br />

Copadichromis spp. 10.0 – 10.0 10.0 1<br />

Table 11. Size range and mean <strong>of</strong> total lengths (cm) <strong>of</strong> fish species caught by long line fishery from<br />

Pelagic Waters <strong>of</strong> Lake Nyasa <strong>of</strong>f Mhalo (Mbamba-bay) in February, 2000.<br />

Fish Species Range Mean N.<br />

Rhamphochromis spp. 13.8 – 45.5 27.7 87<br />

Bagrus meridionalis 33 33 1<br />

Bathyclarias spp. 31.5 31.5 1<br />

Diplotaxodon spp. 16.0 – 24.5 21.5 5<br />

Lethrinops spp. 18.5 – 25.0 21.8 2<br />

Recommendations<br />

Fishermen should be encouraged to practice drifting longline because:<br />

• It is cost effective<br />

• Environmentally friendly<br />

• Targets for mainly large fish<br />

• Hooks # 9-13 are recommended<br />

• O<strong>the</strong>r baits also be investigated<br />

• Demonstrations should cover <strong>the</strong> entire Tz coast.<br />

References<br />

Gonfiatini, R., Zuppi, G., Eccles, D. H. & Ferro, W. 1979. Isotope investigation <strong>of</strong> Lake Malawi. In Isotope in <strong>lake</strong> studies.<br />

International Atomic Energy Agency, Vienna.<br />

ICLARM & G.T.Z. 1991. The context <strong>of</strong> small scale integrated agriculture – Aquaculture systems in Africa. A case study <strong>of</strong><br />

Malawi: ICLARM Stud. Rev.<br />

Menz A. 1995. The fishery Potential and Productivity <strong>of</strong> <strong>the</strong> pelagic zone <strong>of</strong> Lake Malawi/Niassa. Chathan, U.K. Natural<br />

Resources Institute.<br />

Rufli, H. 7 Vitullo, J. A. 1952. Preliminary estimate <strong>of</strong> <strong>the</strong> abundance <strong>of</strong> Pelagic Fish Stocks in Lake Malawi. In biological<br />

studies on <strong>the</strong> pelagic ecosystem <strong>of</strong> Lake Malawi. Rome/FAO/UNDP F< LDP/MLW/75/019 Technical Report I:<br />

138/153.<br />

UK/SADC. 1993. Pelagic Fish Resource Assessment Project. Interim Technical Report.<br />

Walezak, P.S. 1982. Feeding habits and daily food consumption rates <strong>of</strong> <strong>the</strong> major Pelagic fish species <strong>of</strong> Lake Malawi.<br />

Supplement to: Biological Studies <strong>of</strong> <strong>the</strong> Pelagic Ecosystem <strong>of</strong> Lake Malawi, FAO Technical Report 1, FI:<br />

DP/MLW/75/019, Field document 15.


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Gear and species selectivity <strong>of</strong> <strong>the</strong> chilimira kauni fishery in Lake Malawi<br />

Jacqueline Chisambo<br />

Fisheries Research Unit, P.O. Box 27, Monkey Bay<br />

Abstract<br />

Kauni fishing in Lake Malawi occurs by using a chilimira net (an open water seine net) at night using light from paraffin lamps to<br />

attract <strong>the</strong> fish. Kauni fishing occurs in both <strong>the</strong> south-east (SEA) and south-west arms (SWA) <strong>of</strong> Lake Malawi. Catches from kauni<br />

gears landing at Kela beach (SEA) and Msaka beach (SWA) were examined for a one-year period to determine <strong>the</strong> potential effects<br />

on <strong>the</strong> fish stocks. Catch composition and length frequency assessments were performed. The kauni fishery in both areas was<br />

multi-species with 70 species recorded in <strong>the</strong> Kela fishery and 65 species in Msaka. At Kela <strong>the</strong> major genera targeted were<br />

Rhamphochromis, Oreochromis and Copadichromis, which made up over 75 % <strong>of</strong> <strong>the</strong> catch composition. At Msaka <strong>the</strong> major<br />

genera were Rhamphochromis, Engraulicypris and Copadichromis, which made up over 85 % <strong>of</strong> <strong>the</strong> catch. Length frequencies <strong>of</strong><br />

Oreochromis spp. Rhamphochromis spp. and Copadichromis virginalis are examined and recommendations for managing this<br />

fishery are made.<br />

Introduction<br />

It is a well-known fact for Lake Malawi that <strong>the</strong>re has been a decline in <strong>the</strong> chambo Oreochromis spp. stocks.<br />

Catches <strong>of</strong> chambo in Lake Malawi peaked at 8-9 000 tons in <strong>the</strong> late 1970s and in <strong>the</strong> mid-1980s but declined in<br />

1986-87 (Bulirani et al. 1999). The south-east arm is <strong>the</strong> most important fishing ground for chambo. Catches were<br />

stable at 5-6 000 tons during 1986-92 but have declined to 1 800-2 800 tons a year (Bulirani et al. 1999). The bulk<br />

<strong>of</strong> <strong>the</strong> catch has been taken in <strong>the</strong> traditional fishery, which uses various gears such as gill nets, chambo seines,<br />

kambuzi seines and chilimira nets. The chambo stocks are now considered threatened and in need <strong>of</strong> <strong>management</strong><br />

(Bulirani et al. 1999).<br />

In <strong>the</strong> south-east arm <strong>of</strong> Lake Malawi it was observed that, while chambo formed only a small component <strong>of</strong> <strong>the</strong><br />

chilimira net fishery as a whole, <strong>the</strong> high effort levels in this fishery result in <strong>the</strong> fishery contributing between 25%<br />

and 46% <strong>of</strong> <strong>the</strong> total chambo catch (Weyl, 1999). The chambo is being exploited by chilimira nets (open water<br />

seine nets; FAO, 1993), which are locally known as kauni (a term referring to <strong>the</strong> light attraction method by using<br />

lamps at night to attract fish into <strong>the</strong> nets: Banda unpublished). The chilimira that targets chambo is a derivative <strong>of</strong><br />

<strong>the</strong> gear used for catching usipa and this derivative gear used in <strong>the</strong> kauni fishery is known to operate in both <strong>the</strong><br />

sou<strong>the</strong>ast and southwest arms <strong>of</strong> <strong>the</strong> <strong>lake</strong>. It has been found that <strong>the</strong> chilimira fishers in Area A <strong>of</strong> <strong>the</strong> south–eastern<br />

arm directly target chambo (Weyl, 1999, Weyl & Banda, 2001). A preliminary report on <strong>the</strong> fishery in this area<br />

showed that over 80% <strong>of</strong> <strong>the</strong> chambo caught in <strong>the</strong> kauni fishery was immature (Banda unpublished). This indicated<br />

that <strong>the</strong> fishing method was affecting <strong>the</strong> recruitment <strong>of</strong> chambo (Banda, unpublished). Due to this observation<br />

Banda recommended <strong>the</strong> closure <strong>of</strong> <strong>the</strong> kauni fishery.<br />

The chambo directed kauni fishery <strong>of</strong> Area A is <strong>of</strong> major concern and it has been recommended that <strong>the</strong>re should be<br />

a closure <strong>of</strong> this fishery in this area since it is an important fishing ground for chambo (Weyl, 1999; Bulirani et al.<br />

1999). This recommendation came about in order to restore chambo stocks to previous levels and increase<br />

production. The <strong>fisheries</strong> Conservation and Management Regulations 2000 prohibit ‘kauni for chambo’ thus<br />

catching chambo in <strong>the</strong> kauni fishery is illegal (Fisheries Management and Conservation Act, 2000).<br />

This paper is a result <strong>of</strong> a one-year study <strong>of</strong> <strong>the</strong> chilimira/kauni fishery in <strong>the</strong> sou<strong>the</strong>rn part <strong>of</strong> Lake Malawi. The<br />

objective <strong>of</strong> this study was to examine and compare <strong>the</strong> kauni <strong>fisheries</strong> in <strong>the</strong> south east arm (SEA) and south west<br />

arm (SWA) <strong>of</strong> Lake Malawi to determine <strong>the</strong> potential effects <strong>of</strong> <strong>the</strong>se <strong>fisheries</strong> on <strong>the</strong> fish stocks.<br />

Methodology<br />

Catch assessment <strong>of</strong> <strong>the</strong> kauni <strong>fisheries</strong> operating at Kela (SEA) and Msaka (SWA) landing sites were conducted<br />

once for three consecutive days a month for a one-year period. At <strong>the</strong>se landing sites, as many gears as possible<br />

were sampled. The weight <strong>of</strong> <strong>the</strong> entire catch was assessed and a sample was randomly selected and weighed. The<br />

species composition <strong>of</strong> <strong>the</strong> catches was assessed as each fish in <strong>the</strong> sample was sorted to species level. Each species<br />

group was weighed separately and each fish was measured for total length (TL) in millimetres.<br />

Results<br />

The kauni fishermen, landing at Kela, fish in Area A, south <strong>of</strong> Boadzulu Island, while those landing at Msaka<br />

usually fish close to Mumbo Island. It was observed that both <strong>the</strong> <strong>fisheries</strong> in <strong>the</strong> SWA and SEA are multi-species<br />

catching many different species, many <strong>of</strong> which were cichlids. The number <strong>of</strong> species recorded at Kela was 70 and


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at Msaka 65 (Table 1). The contribution <strong>of</strong> <strong>the</strong> different species in <strong>the</strong> fishery varied from month to month as well<br />

as by area.<br />

The fish species identified in <strong>the</strong> fishery were lumped in major species groups for species composition analysis.<br />

These major groups were Rhamphochromis spp. Oreochromis spp. Copadichromis spp. as well as usipa<br />

(Engraulicypris sardella) and ‘o<strong>the</strong>r’ group. The ‘o<strong>the</strong>r’ group consisted <strong>of</strong> all o<strong>the</strong>r species caught in <strong>the</strong> fishery<br />

that were not included in <strong>the</strong> major species groups.<br />

At Msaka <strong>the</strong> main contributing species groups were Rhamphochromis spp, usipa and Copadichromis spp.<br />

However, <strong>the</strong> contribution <strong>of</strong> <strong>the</strong>se various groups varied for <strong>the</strong> different months <strong>of</strong> <strong>the</strong> year. The ‘o<strong>the</strong>r’ group<br />

contributed significantly in November. There was no data collected in June, and in December <strong>the</strong>re was an anomaly<br />

in <strong>the</strong> data that lead to all <strong>the</strong> data in December being discarded (Figure 1). The Rhamphochromis spp group<br />

contributed 51% <strong>of</strong> <strong>the</strong> total catch followed by usipa, which contributed 25%. The ‘o<strong>the</strong>r’ group contributed 14%,<br />

Copadichromis spp. group contributed 10%, and chambo contributed only 0.5% <strong>of</strong> <strong>the</strong> total catch (Figure 2).<br />

In Kela <strong>the</strong> situation was different. The most important species groups were Rhamphochromis spp. and chambo<br />

followed by <strong>the</strong> ‘o<strong>the</strong>r’ group and <strong>the</strong> Copadichromis spp. group. These species groups contribution also varied<br />

each month (Figure 3). Rhamphochromis spp. contributed 37% <strong>of</strong> <strong>the</strong> total catch followed by chambo which<br />

contributed 34%. The ‘o<strong>the</strong>r’ group contributed 21%, Copadichromis spp. 5% and usipa only 3% to <strong>the</strong> total catch<br />

(Figure 4).<br />

Length frequency analyses were conducted for some <strong>of</strong> <strong>the</strong> most important species groups i.e. Oreochromis spp. and<br />

Rhamphochromis spp. For <strong>the</strong> Copadichromis spp. group, one <strong>of</strong> <strong>the</strong> species that contributed significantly from this<br />

group C. virginalis was used in <strong>the</strong> analysis. Selectivity analyses for <strong>the</strong> different species groups were conducted by<br />

combining all <strong>the</strong> individuals caught in <strong>the</strong> different mesh sizes (0.5 to 2 inch) in <strong>the</strong> fishery. This is due to <strong>the</strong> fact<br />

that analyses with <strong>the</strong> separate mesh sizes showed no significant difference in <strong>the</strong> sizes <strong>of</strong> individuals caught.<br />

100%<br />

80%<br />

60%<br />

40%<br />

20%<br />

0%<br />

Mar<br />

Apr<br />

May<br />

Jun<br />

Jul<br />

Figure 1. Monthly trends in catch composition (%) <strong>of</strong> Msaka kauni fishery.<br />

Aug<br />

Sep<br />

Oct<br />

Nov<br />

Dec<br />

Jan<br />

Feb<br />

O<strong>the</strong>r<br />

Rhamphochromis spp.<br />

Oreochromis spp.<br />

Usipa<br />

Copadichromis spp.


0.5%<br />

24.5%<br />

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Figure 2. Cumulative species composition by weight (%) <strong>of</strong> Msaka kauni fishery (2000 Mar–2001 Feb).<br />

100%<br />

80%<br />

60%<br />

40%<br />

20%<br />

0%<br />

Mar<br />

Figure 3: monthly trends in catch composition (%) <strong>of</strong> Kela kauni fishery.<br />

21%<br />

14%<br />

10%<br />

Apr<br />

May<br />

Jun<br />

Jul<br />

Aug<br />

Sep<br />

34% 5%<br />

3%<br />

Oct<br />

51%<br />

Nov<br />

37%<br />

Rhamphochromis spp<br />

Copadichromis spp<br />

Rhamphochromis spp<br />

Copadichromis spp<br />

Usipa<br />

Oreochromis spp<br />

Figure 4: cumulative species composition by weight (%) <strong>of</strong> Kela kauni fishery (2000 Mar–2001 Feb).<br />

Dec<br />

For <strong>the</strong> Oreochromis spp. group, <strong>the</strong> length frequency showed that <strong>the</strong> majority <strong>of</strong> individuals caught were bigger<br />

than 150 mm TL. Few juvenile chambo were caught in this fishery, 3 % <strong>of</strong> individuals were 150 mm or less in total<br />

length. This lack <strong>of</strong> juvenile chambo in <strong>the</strong> kauni fishery is not <strong>the</strong> result <strong>of</strong> <strong>the</strong> gear selecting for <strong>the</strong> adults but<br />

ra<strong>the</strong>r because fishing occurs in areas where <strong>the</strong> juveniles are not found being an open water fishery (juvenile<br />

chambo are found in shallow water closer to shore). The length at 50% maturity for chambo species is 203 mm total<br />

Jan<br />

Feb<br />

Usipa<br />

Oreochromis spp<br />

O<strong>the</strong>r<br />

O<strong>the</strong>r<br />

O<strong>the</strong>r<br />

Rhamphochromis spp.<br />

Oreochromis spp.<br />

Usipa<br />

Copadichromis spp.


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length (Palsson et al. 1999). In this fishery 50% selectivity was at 210 mm showing that mature adults are mostly<br />

caught.<br />

The length frequency for <strong>the</strong> Rhamphochromis spp. group showed that 97% <strong>of</strong> <strong>the</strong> individuals caught were 110 mm<br />

or bigger in total length. This group is very diverse with a length at maturity range <strong>of</strong> 109–232 mm standard length<br />

(Turner et al. 2000). This range reflects <strong>the</strong> fact that <strong>the</strong>re are different species with different lengths at maturity<br />

caught in this fishery. Many <strong>of</strong> <strong>the</strong> individuals caught belonged to <strong>the</strong> species R. longiceps and R. ferox which are<br />

on <strong>the</strong> lower side <strong>of</strong> <strong>the</strong> maturity range having lengths at maturity <strong>of</strong> 109-130 mm SL and 138 –143 mm SL<br />

respectively. In this fishery 50% selectivity was at 183 mm TL.<br />

The length frequency for C. virginalis, a major species in <strong>the</strong> Copadichromis spp. group showed that 89 % <strong>of</strong> <strong>the</strong><br />

individuals caught were 110 mm or bigger in total length. The length at maturity for this species is 106 mm TL<br />

(Marechal, 1991). Mean (50%) selectivity was at 128 mm indicating that mature adults are mainly caught in this<br />

fishery.<br />

Frequency<br />

500<br />

450<br />

400<br />

350<br />

300<br />

250<br />

200<br />

150<br />

100<br />

50<br />

0<br />

Figure 5. Length frequency for Oreochromis spp. sampled from <strong>the</strong> kauni fishery (n=3015).<br />

Frequency<br />

10<br />

1400<br />

1200<br />

1000<br />

800<br />

600<br />

400<br />

200<br />

0<br />

40<br />

10<br />

70<br />

50<br />

100<br />

90<br />

130<br />

130<br />

170<br />

Figure 6. Length frequency for Rhamphochromis spp. sampled from <strong>the</strong> kauni fishery (n=6943).<br />

160<br />

210<br />

190<br />

Length at maturity range<br />

109 mm-232 mm<br />

Mean selectivity 183 mm<br />

250<br />

220<br />

290<br />

TL (mm)<br />

250<br />

TL (mm)<br />

Length at 50%<br />

maturity 203mm<br />

Mean selectivity 210 mm<br />

330<br />

280<br />

370<br />

310<br />

410<br />

340<br />

450<br />

370<br />

490<br />

400<br />

430


Frequency<br />

140<br />

120<br />

100<br />

80<br />

60<br />

40<br />

20<br />

0<br />

5<br />

20<br />

Length at maturity<br />

106 mm<br />

35<br />

50<br />

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Figure 7. Length frequency for C. virginalis sampled from <strong>the</strong> kauni fishery (n=661).<br />

65<br />

80<br />

95<br />

TL (mm)<br />

Discussion<br />

In Kela and Msaka it was observed that <strong>the</strong> Rhamphochromis spp. group was very important, contributing 37% and<br />

51%, respectively. Usipa was more important in Msaka, were it contributed 25% to <strong>the</strong> catch, than at Kela were it<br />

only contributed 3% <strong>of</strong> <strong>the</strong> total catch. The Oreochromis spp. group was more important at Kela, were it<br />

contributed 34% <strong>of</strong> <strong>the</strong> total catch. At Msaka this group was <strong>of</strong> minor importance, contributing less than 1% to <strong>the</strong><br />

total catch <strong>of</strong> <strong>the</strong> kauni fishery.<br />

Due to <strong>the</strong> wide-ranging nature <strong>of</strong> <strong>the</strong> Rhamphochromis stocks, <strong>the</strong>y are not considered threatened by local<br />

overexploitation at <strong>the</strong> moment and are <strong>the</strong>refore not in need <strong>of</strong> any restrictions (Turner et al. 2000). The<br />

Copadichromis stocks do not form a huge component in <strong>the</strong> fishery (contributing 5% in Kela and 10% in Msaka)<br />

and <strong>the</strong> sizes <strong>of</strong> individuals harvested are <strong>of</strong> those that have reached adult size. For this reason, <strong>the</strong> Copadichromis<br />

stocks do not seem to be threatened by <strong>the</strong> kauni fishery. However, it should be kept in mind that o<strong>the</strong>r <strong>fisheries</strong><br />

also harvest this species group and <strong>the</strong>se should be closely monitored. For <strong>the</strong> usipa stocks, no <strong>management</strong><br />

recommendations can be given because <strong>the</strong> stock experiences large fluctuations that appear to be caused by<br />

environmental factors (Allison et al. 1995). However, due to <strong>the</strong> declining nature <strong>of</strong> <strong>the</strong> chambo fishery,<br />

Oreochromis spp. stocks need <strong>management</strong> intervention if <strong>the</strong> stocks are expected to recover.<br />

From an area point <strong>of</strong> view, none <strong>of</strong> <strong>the</strong> species groups dominating <strong>the</strong> kauni fishery at Msaka seem to be<br />

threatened, <strong>the</strong>refore restrictions at Msaka are not necessary. However for <strong>the</strong> chambo stocks at Kela, <strong>management</strong><br />

is necessary.<br />

The ban <strong>of</strong> ‘kauni for chambo’ in <strong>the</strong> Fisheries Conservation and Management Act (2000) has not been effective<br />

because <strong>the</strong> fishermen are still catching chambo. It appears unrealistic to inform <strong>the</strong> kauni fishermen to fish but not<br />

catch chambo and if chambo is caught in <strong>the</strong>ir gear, <strong>the</strong>y are unlikely to throw it back into <strong>the</strong> water. However it is<br />

not known whe<strong>the</strong>r <strong>the</strong>y specifically target chambo in <strong>the</strong>ir fishing procedure or not. A more realistic <strong>management</strong><br />

procedure would be to ban this fishery in a given area i.e. Area A as recommended by Bulirani et al. (1999) and<br />

Weyl (1999). Due to <strong>the</strong> use <strong>of</strong> lights in <strong>the</strong> fishery at night, it would be easy to monitor whe<strong>the</strong>r or not <strong>the</strong><br />

fishermen are following <strong>the</strong> regulations.<br />

From <strong>the</strong> length frequency analyses <strong>of</strong> <strong>the</strong> Oreochromis spp. group it was observed that <strong>the</strong> adult chambo are mainly<br />

being harvested in this fishery. The harvesting <strong>of</strong> immature chambo is not a concern in this fishery. However, since<br />

adult chambo are mainly caught, <strong>the</strong> stocks are still being depleted. Therefore, <strong>the</strong>re is a need to protect <strong>the</strong> adults<br />

until a recovery <strong>of</strong> <strong>the</strong> chambo stocks can be seen.<br />

With <strong>the</strong> aim <strong>of</strong> protecting <strong>the</strong> chambo stocks, <strong>the</strong> option <strong>of</strong> closing <strong>the</strong> kauni fishery and its consequences should be<br />

considered. With an annual estimated catch <strong>of</strong> 1500 tons (Catch statistics, 2000), <strong>the</strong> kauni fishery in Area A<br />

contributes approximately 40% to <strong>the</strong> total landings in <strong>the</strong> area. In addition, <strong>the</strong> closure <strong>of</strong> this fishery would result<br />

in a decreased yield <strong>of</strong> o<strong>the</strong>r major species groups such as Rhamphochromis spp. and Copadichromis spp. that are<br />

presently exploited in this fishery.<br />

110<br />

125<br />

140<br />

Mean selectivity 128 mm<br />

155<br />

170


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

It has been reported that 40 to 60 boats land at Kela beach each day (Ganter et al.2001). Therefore over 400 people<br />

are directly involved in catching fish only at this beach. In Area A, <strong>the</strong>re are 119 chilimira gears which are all likely<br />

involved in kauni fishing and this means that in this fishery over 1 000 people in <strong>the</strong> area are directly involved in<br />

catching fish (Weyl et al. 2000). Closing down this fishery would lead to a high number <strong>of</strong> people losing<br />

employment. Options <strong>of</strong> limiting effort in this fishery to levels where enough adults are protected while some<br />

fishing continues, need to be explored.<br />

Acknowledgements<br />

Thanks to <strong>the</strong> technical assistants and o<strong>the</strong>r staff <strong>of</strong> <strong>the</strong> Fisheries research unit (FRU) who assisted in <strong>the</strong> collection<br />

<strong>of</strong> data. Thanks to Dr. Olaf Weyl who assisted in <strong>the</strong> data analysis. Special thanks to <strong>the</strong> National Aquatic<br />

Resource Management Programme (NARMAP) whom funded this study.<br />

References<br />

Allison, E.H., Patterson, G., Irvine, K., Thompson, A.B. and Menz, A. 1995. The pelagic ecosystem. In: The fishery potential<br />

and productivity <strong>of</strong> <strong>the</strong> pelagic zone <strong>of</strong> Lake Malawi/ Niassa. Menz, A. (ed). Chatham, UK: Natural Resources Institute<br />

Banda, M. 1996. (unpublished) A preliminary report on <strong>the</strong> kauni fishery. Unpublished report.<br />

Bulirani, A.E., Banda, M.C., Palsson, O.K., Weyl, O.L.F., Kanyerere, G.Z., Manase, M.M. & Sipawe, R.D. 1999. Fish stocks<br />

and <strong>fisheries</strong> <strong>of</strong> Malawian waters: Resource report. Government <strong>of</strong> Malawi, Fisheries Department, Fisheries Research<br />

Unit. 54pp.<br />

Catch statistics, 2000. Unpublished, Fisheries Research Unit, Monkey Bay.<br />

Fisheries Conservation and Management Regulations. 2000. The Malawi Gazette Supplement, 14 th July, 2000, containing<br />

Regulations, Rules, etc. Government Notice No. 32. Fisheries Conservation and Management Act, 1997 (No. 25 <strong>of</strong><br />

1997).<br />

Ganter, E. 2001. Socio economic survey No. 2. Kela village – summary <strong>of</strong> preliminary results. NARMAP &-Dept <strong>of</strong> Fisheries,<br />

Malawi. GTZ publication, March 2001.<br />

Marechal, C. 1991. Copadichromis. In: Check-list <strong>of</strong> <strong>the</strong> freshwater fishes <strong>of</strong> Africa (CLOFFA). J. Daget, J.P. Gosse, G.G.<br />

Teugels and D.F.E. Thys van den Audenaerde (Eds). ISNB, Brussels. Vol 4, p51-58.<br />

Palsson, O.K., Bulirani, A. and Banda, M. 1999. A review <strong>of</strong> <strong>the</strong> biology, <strong>fisheries</strong> and population dynamics <strong>of</strong> chambo<br />

(Oreochromis spp., CICHLIDAE) in Lakes Malawi and Malombe. Fisheries Bulletin No. 38.<br />

Turner, G.F., Carvalho, G.R., Robinson, R.L. and Shaw P.W. 2000. Biodiversity Conservation and sustainable utilisation <strong>of</strong><br />

pelagic cichlid fishes <strong>of</strong> Lake Malawi/Niassa/Nyasa. Ncheni Project Final report. University <strong>of</strong> Southampton & Hull,<br />

U.K.<br />

Weyl, O.L.F. 1999. Artisanal fishery catch-assessment for <strong>the</strong> south-east arm <strong>of</strong> <strong>lake</strong> Malawi; 1994-1998. NARMAP Technical<br />

Report No.2. 41pp.<br />

Weyl, O.L.F., Banda, M., Sodzapanja, G., Mwenekibombwe, L.H., namoto, W. and Mponda, O.C. 2000. Annual frame Survey,<br />

September 1999. Government <strong>of</strong> Malawi, Fisheries Bulletin No. 42.<br />

Weyl, O.L.F. and Banda, M.C. 2001. Notes on <strong>the</strong> chilimira net catch composition from catch and effort in Mangochi District.<br />

NARMAP Technical Report No. 5. 8 pp.


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Gear and species selectivity <strong>of</strong> <strong>the</strong> gill net fishery in Lake Malawi.<br />

Richard Dawson Sipawe<br />

Fisheries Research Unit, P.O. Box 27, Monkey Bay, Malawi.<br />

Abstract<br />

Size selectivity <strong>of</strong> some important fish species caught in gill nets was estimated indirectly. Species composition <strong>of</strong> <strong>the</strong> catches from<br />

gill nets with mesh sizes between 1 and 2 inches showed that <strong>the</strong> catch was dominated by C. virginalis (74%) and that chambo<br />

contributed less than 0.2% to <strong>the</strong> catch <strong>of</strong> <strong>the</strong>se small meshed gill nets. Chambo was not caught in <strong>the</strong>se meshes because <strong>the</strong> size<br />

range <strong>of</strong> chambo that could be susceptible to this gear inhabits shallow waters where small meshed nets are not set. The small<br />

meshed gill nets were considered ideal for catching <strong>of</strong>fshore cichlids. Gill nets with mesh sizes between 2 and 3 inches selected<br />

chambo at sizes corresponding with <strong>the</strong> size range at which this species migrates to deep water. Since this migration occurs before<br />

maturity <strong>the</strong> use <strong>of</strong> gill nets with mesh size 2-3 inches is not recommended. Gill nets with mesh sizes between 3 and 4 inches were<br />

considered ideal since <strong>the</strong>y select for mature chambo. However, <strong>the</strong> study showed that gill nets with <strong>the</strong> current mesh sizes in use<br />

do not catch mature catfish. For <strong>management</strong> purposes, development and adoption <strong>of</strong> distinct gill net <strong>fisheries</strong> for specific target<br />

species is suggested.<br />

Introduction<br />

The gill net is one <strong>of</strong> <strong>the</strong> most commonly used gears in Lake Malawi. Its use dates back to <strong>the</strong> early 1940s. Gill nets<br />

contribute between 15 and 20% to <strong>the</strong> total annual fish landings from Lake Malawi (Bulirani et al. 1999) and in<br />

terms <strong>of</strong> employment, this fishery engages about 13 600 fishers, representing 30-35% <strong>of</strong> people directly involved in<br />

<strong>the</strong> fishing industry both as gear owners as well as crew members (Weyl et al. 2000).<br />

The number <strong>of</strong> gill nets being operated on <strong>the</strong> <strong>lake</strong> has increased tremendously during <strong>the</strong> late 1990’s (Weyl et al.<br />

2000). In 1995 for example, <strong>the</strong>re were over 17 000 gill nets, <strong>the</strong> number grew to 24 000 in 1997 and in 1999 <strong>the</strong>re<br />

were approximately 30 000 gill nets (Weyl et al. 2000). In addition, recent frame survey showed that <strong>the</strong> majority<br />

<strong>of</strong> <strong>the</strong>se nets were under-meshed. For instance, 90% <strong>of</strong> gill nets recorded for Mangochi District were less than 3.0<br />

inches (Weyl et al. 2000) which was below <strong>the</strong> 3.75 inch legal mesh size for gill nets operated in <strong>the</strong> sou<strong>the</strong>ast and<br />

southwest arms <strong>of</strong> Lake Malawi.<br />

The increase in <strong>the</strong> number <strong>of</strong> gill nets in <strong>the</strong> late 1990s coupled with <strong>the</strong> use <strong>of</strong> under-meshed gill nets in Lake<br />

Malawi, initiated <strong>the</strong> execution <strong>of</strong> this project in-order to determine species composition and size selectivity <strong>of</strong> <strong>the</strong><br />

catches in gill nets <strong>of</strong> mesh sizes ranging from 1inch to 3.75 inches. This was done in order to assess potential<br />

impacts <strong>of</strong> small meshed nets on <strong>the</strong> fishery.<br />

Methods<br />

Sampling area<br />

Catches were sampled from local fishermen’s gill nets in <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi. In particular, gill net<br />

samples were acquired from Makawa (Kela beach), Kadango, Nkope, Ng’ombe and Namiasi landing sites in <strong>the</strong><br />

sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi. Since gill net fishers are highly migratory, <strong>the</strong> sampling programme was designed in<br />

such a way as to target beaches where most gill-netters were landing at that time.<br />

Data collection and analysis<br />

Fish catches from <strong>the</strong> gill net fishery <strong>of</strong> <strong>the</strong> Sou<strong>the</strong>ast arm were sampled from 1inch to 3.75 inch mesh size gill nets<br />

on a monthly basis from October 1998 to December 2000. The fish were identified to species level, each species<br />

component in <strong>the</strong> catch was weighed and <strong>the</strong>n total length (TL) measurements were recorded to <strong>the</strong> nearest<br />

millimetre.<br />

Retention in gill nets occurs when a fish penetrates a mesh beyond its gill covers but does not completely penetrate<br />

through, this implies that a fish is caught if its head girth is smaller but its maximum girth is larger than <strong>the</strong> mesh<br />

perimeter (Hamley, 1975). Since <strong>the</strong>re is a relationship between girth and total length (Konda 1962, Burd 1963 and<br />

Kipling 1963), total length (TL) is used exclusively in this study.<br />

The selectivity curves were fitted using a re-parameterised gamma selectivity function as outlined in Punt et al.<br />

(1966). A typical gill net selectivity curve is bell-shaped falling to zero on both sides <strong>of</strong> a maximum (Hamley,<br />

1975). The gamma selection function was chosen because it easily describes all <strong>the</strong> members <strong>of</strong> <strong>the</strong> exponential<br />

family <strong>of</strong> distributions more precisely than <strong>the</strong> o<strong>the</strong>r functions (Manase, 2000).


Results and discussion<br />

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1-2 inch gill nets<br />

Figure 1 shows <strong>the</strong> percent catch composition <strong>of</strong> <strong>the</strong> 7 main fish species that contributed over 90 % <strong>of</strong> <strong>the</strong> catch in<br />

gill nets with mesh size between 1 to 2 inches. Table 1 shows <strong>the</strong> catch composition and total number <strong>of</strong> fish species<br />

caught in gill nets <strong>of</strong> various mesh sizes.<br />

In gill nets with mesh sizes between 1 and 2 inches, 120 different fish species were recorded. The majority <strong>of</strong> <strong>the</strong><br />

species caught in such nets were those that are naturally small in size. The only exception was that 6% and 0.2% <strong>of</strong><br />

Bagrus and chambo respectively (both comprising <strong>of</strong> juveniles only) were caught in <strong>the</strong>se nets.<br />

Percent catch contribution <strong>of</strong> main species in 1-2" nets<br />

Otopharynx<br />

2%<br />

Synodontis<br />

3%<br />

Letrinops<br />

4%<br />

Aulono<br />

2%<br />

Figure 1. Catch composition in 1-2inch gill nets.<br />

O<strong>the</strong>rs<br />

9%<br />

Bagrus<br />

6%<br />

Copadichromis<br />

74%<br />

Table 2 gives <strong>the</strong> mean lengths at capture, total length ranges as well as variances for fish caught in various mesh<br />

sizes and analysed using gamma distribution. The mean length at capture <strong>of</strong> chambo in 1.5inch nets was 11cm<br />

(figure 2) while <strong>the</strong> mean length at maturity for chambo is 20.3 cm (Bulirani et al. 1999). For <strong>the</strong> 1.5 inch gill nets<br />

chambo varied between 10 cm and 13 cm in total length.<br />

Table 3 gives <strong>the</strong> mean length-at-capture (lc) divided by length-at-maturity (lmat) (Lc/Lmat) values for species<br />

analysed with gamma function. When mean length-at-capture (Lc) was expressed as a proportion <strong>of</strong> <strong>the</strong> length-atmaturity<br />

(Lmat), it was found out that all chambo caught in gill nets <strong>of</strong> 1.5 inch mesh size were immature<br />

(Lc/Lmat≥1). However, chambo contributed only 0.2% <strong>of</strong> <strong>the</strong> total catch in gill nets <strong>of</strong> this particular mesh sizes.<br />

This is because small immature chambo inhabits very shallow waters (FAO, 1993) while <strong>the</strong>se nets are set in deep<br />

water where <strong>the</strong>y are set to target <strong>of</strong>fshore pelagic fish species especially as utaka.<br />

The length at first capture for C.virginalis in 1 and 1.75 inch gill nets was 13.3 and 12 cm respectively (Figure 3).<br />

These sizes are well above 10.6 cm, <strong>the</strong> length at maturity for C. virginalis (Marechal 1991). Though 74 % <strong>of</strong> <strong>the</strong><br />

catch consisted <strong>of</strong> C.virginalis, this stock seems not to be threatened because only mature individuals are being<br />

harvested. Since approximately 90% <strong>of</strong> <strong>the</strong> catch in gill nets with mesh sizes ranging between 1-2 inches comprise<br />

small fish species that mature before capture by this gear, such nets <strong>the</strong>refore may be used as harvesting strategy for<br />

utaka.


Figure 2. Chambo 1.5 inch mesh selection curve.<br />

% Proportion<br />

Oreochromis spp. 1.5" selectivity<br />

100<br />

80<br />

60<br />

40<br />

20<br />

% Proportion<br />

% Proportion<br />

0<br />

9 10 11 12 13 14<br />

Length (cm)<br />

Figure 3. C.virginalis selection curves for 1.0 inch and 1.75 inch gill nets.<br />

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Observed Predicted<br />

Copadichromis virginalis 1.0" selectivity<br />

100<br />

80<br />

60<br />

40<br />

20<br />

0<br />

100<br />

80<br />

11 12 13 14 15 16<br />

Length (cm)<br />

Observed Predicted<br />

Copadichromis virginalis 1.75"<br />

selectivity<br />

60<br />

40<br />

20<br />

0<br />

7 9 11 13 15<br />

Length (cm)<br />

Observed Predicted


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Table 1. Percent catch composition in gill nets <strong>of</strong> mesh size 1-2 inch (25-50mm), 2-3 inch (51-75 mm)<br />

and 3-4 inch (76-95mm) sampled between October 1998 and December 1999 in <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong><br />

Lake Malawi. (n= 422 kg for 1-2 inch nets; n = 23kg for 2-3 inch nets and n = 1 107 kg for 3- 4 inch nets).<br />

* Species for which Gamma analysis was done.<br />

Species 1-2 in. 2-3 in. 3-4 Species 1-2 in. 2-3 in. 3-4 in. Species 1-2 in. 2-3 in. 3-4 in. Species 1-2<br />

in.<br />

in.<br />

Alticorpus Coreematodus Maravichromis Rhamphochromis*<br />

A. ge<strong>of</strong>freyi 0.07 C. shiranus 0.01 M. ericotaenia 0.03 0.01 R. spp_ 0.26<br />

A. macrocleithrum 0.05 C. taeniatus 0.04 M. anaphyrmus 0.43 1.08 0.27 Sciaenochromis<br />

A. mentale 0.13 Ctenopharynx M. formossus 0.06 S. benthicola 0.09 0.04<br />

Aulonocara C. intermedius 0.86 0.03 Mormyrus S. gracilis 0.19 0.03<br />

A. copper 0.14 Dimidiochromis M. deliciosis 0.87 S. spilostichus 0.13 0.18<br />

A. spp_ 0.01 D. compreceps 0.00 Mylochromis Stigmatochromis<br />

A. blue orange 0.08 D. dimidiatus 0.01 M. mola 0.00 0.11 S. pholidophorus 0.01<br />

A. brevirostris 0.01 D. kiwinge 0.03 0.43 0.07 M. spilotichus 0.01 S. woodi 0.11 0.00<br />

A. guen<strong>the</strong>ri 0.15 0.36 D.strigatus 0.05 Nimbochromis Synodontis<br />

A. macrochir* 0.81 0.09 Diplotaxodon N. livingstonii 0.50 S. njassae* 3.27 0.89<br />

A. rostratum 0.30 0.95 D. argenteus 0.23 0.02 N. polystigma 0.07 Taeniaochromis<br />

A.yellow 0.06 D. greenwoodi 0.07 N. venustus 0.06 0.35 T. spp_ 0.02<br />

Bargrus D.intermedius 0.01 Nyassachromis T. holotaenia 0.16<br />

B. meridionalis* 5.35 3.12 9.83 D.limnothrissa 0.08 N. leuciscus* 15.16 Taeniolethrinops<br />

Barbus Fossochromis Opsaridium T.furcicauda 0.59 1.25 0.02<br />

B. arcislongae 0.94 F. rostratus 0.13 0.02 O. microcephalus* 0.04 T. laticeps 0.01<br />

B. eurystomus* 1.80 Haplochromis O. microlepis 0.10 T.praeorbitalis* 0.03<br />

B. Johnstoni* 3.50 H. spilopterus 0.01 Oreochromis Tramitichromis<br />

B. litamba 0.32 0.15 Hemitaeniochromis O. shiranus 0.03 0.35 0.02 T.lituris* 0.43<br />

Bathyclarias H. discorhynchus 0.42 0.62 0.00 O. spp*_ 0.14 22.83 68.20 T. spp_ 0.06<br />

Bathyclarias spp* 7.40 H. insignis 0.01 0.12 Otopharynx Trematocranus<br />

Brycinus H. urotaenia 0.28 0.52 0.02 O. argyrosoma* 1.40 T. labifer 0.65<br />

B. imberi 0.04 Hemitilapia O. auromarginatus 0.06 0.48 T. labifer 0.65<br />

Buccuchromis H. oxyrhynchus 0.00 O. cf_ productus 0.06 T. labifer 0.65<br />

B. atritaeniatus 0.35 Labeo O. speciosus 0.25 T. placodon* 5.18 0.28<br />

B. lepturus* 0.55 L. cylindricus 0.01 3.12 O. spp_ 0.00 Tyrannochromis<br />

B. nototaenia 0.01 0.62 Lethrinops Placidochromis T. macrostoma* 0.08<br />

B. rhoadesi 0.06 0.03 L. alba 0.12 0.00 P. acuticeps 0.02<br />

B. spp. 0.49 L. alta* 0.18 P. long 0.00<br />

Champsochromis 0.03 L. christyi 0.50 0.36 P. longimanus 0.04<br />

C. spilorhynchus 0.03 L. gossei* 0.02 P. macrognathus 0.01<br />

Chilotilapia 0.05 0.15 L.lethrinus 0.14 2.31 0.02 P. subocularis 1.09 0.78 0.09<br />

C. rhoadesii 0.05 0.15 L.long 0.08 Platygnathochromis<br />

Clarias L.longimanus 0.64 P.kirkii 0.04 0.26<br />

C. gariepinus 0.51 16.45 1.23 L. longipinnis 0.16 0.14 Protomelas labridens 0.07<br />

Copadichromis L.macracanthus 0.01 P.similes 0.07 0.69 0.03<br />

C. chrysonotus 0.02 0.09 0.00 L. macrochir 0.22 0.01 P. spilopterus 0.01<br />

C. eucinostomus* 0.22 L. matumbai 0.05 P. triaenodon 0.00<br />

C. inornatus 0.00 L.mylodon 0.00 Pseudotropheus<br />

C. pleurostigma 0.03 L.parvidens* 0.42 0.00 P. elegans 0.11 0.13<br />

C. prostoma 0.00 L. pink head* 0.41 P. livingstonii 0.07<br />

C. quadrimaculatus* 2.03 L. polli 0.18 0.03 P.tropheops 0.04<br />

C. trimaculatus 0.00 L. stridei 0.28 P. williamsonii 0.19<br />

C. virginalis* 67.90 14.73 Lichnochromis<br />

L. acuticeps 0.11 0.26<br />

2-3<br />

in.<br />

3-4<br />

in.


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Table 2. Mean retention lengths (maximum selectivity), total length (TL) ranges and variances for fish<br />

caught in various mesh sizes and analysed using gamma distribution.<br />

Species/Species group (n) Mesh size Max. Sel. Range TL (cm) Variance<br />

Oreochromis spp. 48 1.5 11.00 8.5-13.5 0.79<br />

95 2.0 13.94 11.0-17.0 0.96<br />

398 3.0 24.05 17.0-35.0 3.17<br />

2101 3.5 24.24 17.0-35.0 2.51<br />

135 3.75 25.30 18.0-35.0 2.28<br />

Copadichromis virginalis 36 1.0 13.30 11.0-16.0 0.98<br />

393 1.25 12.07 10.0-16.0 0.73<br />

1814 1.5 12.48 10.2-15.0 0.96<br />

209 1.75 12.08 10.5-16.0 0.96<br />

113 2.5 12.38 10.0-15.0 0.85<br />

Bagrus meridionalis 71 1.5 22.74 18.0-32.0 2.54<br />

136 3.0 34.77 36.0-50.0 3.53<br />

114 3.5 37.54 28.0-50.0 3.10<br />

83 3.75 37.66 30.0-50.0 3.30<br />

Otopharynx argyrosoma 69 1.25 10.09 8.0-12.0 0.66<br />

135 1.5 10.63 7.0-17.0 1.74<br />

Rhamphochromis spp. 131 3.5 38.28 36.0-47.0 1.80<br />

102 3.75 38.76 37.0-47.0 1.64<br />

Synodontis njassae 239 1.5 13.39 11.0-20.0 1.45<br />

35 2.0 13.58 11.0-19.0 1.19<br />

C. quadrimaculatus 123 2.0 16.64 13.0-21.0 1.33<br />

47 3.0 16.95 13.0-21.0 1.30<br />

Bathyclarias spp. 69 3.5 49.98 41.0-62.0 3.02<br />

79 3.75 49.45 40.0-62.0 3.19<br />

Lethrinops pinkhead 43 1.25 9.62 7.50-12.0 0.78<br />

48 1.5 10.10 8.00-14.0 0.93<br />

Trematocranus placodon 81 3.0 19.57 16.0-24.0 1.18<br />

31 3.5 20.51 18.0-24.0 0.95<br />

Barbus johnstoni 62 3.5 34.00 10.0-38.0 2.23<br />

Barbus eurystomus 39 3.75 38.00 33.0-44.0 2.72<br />

Opsaridium microcephalus 36 3.5 47.00 44.0-50.0 0.91<br />

Tyrannochromis macrostoma 52 3.5 20.00 18.0-23.0 1.11<br />

Nyasachromis leuciscus 51 2.5 17.00 14.0-20.0 0.82<br />

Tramitichromis lituris 34 1.5 11.00 8.50-14.5 1.28<br />

Taeniolethrinops praeorbitalis 76 3.0 23.00 21.0-26.0 1.07<br />

Lethrinops parvidens 34 1.5 12.00 10.0-14.0 1.50<br />

Lethrinops longimanus 81 2.5 17.00 14.0-22.0 1.31<br />

Lehrinops gossae 43 2.5 16.50 14.0-20.0 0.93<br />

Lethrinops alta 33 1.5 10.80 9.0-14.0 0.80<br />

Copadichromis eucinostomus 38 2.0 11.30 9.0-13.0 0.74<br />

Buccochromis lepturus 52 3.5 26.04 23.0-30.0 1.35<br />

Aulonocar macrochir 33 2.0 11.70 10.0-14.0 0.70


138<br />

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2-3 inch mesh gill nets<br />

Figure 2 shows <strong>the</strong> percentage catch composition <strong>of</strong> <strong>the</strong> 7 main species that contributed almost 90% <strong>of</strong> <strong>the</strong> total<br />

catch in gill nets with mesh sizes between 2 to 3 inches.<br />

In gill nets with mesh sizes ranging between 2-3 inches, 99 fish species were recorded. Chambo dominated <strong>the</strong><br />

catch; it comprised 25% <strong>of</strong> <strong>the</strong> catch by weight. The importance <strong>of</strong> small fish species in <strong>the</strong> catch started to decrease<br />

because <strong>the</strong>se meshes selected for slightly larger fish species.<br />

% catch ontribution <strong>of</strong> main species in 2-3"<br />

gill nets<br />

Trematocranus<br />

6%<br />

Oreochromis<br />

25%<br />

Figure 4. Catch composition <strong>of</strong> main species in 2-3 inch gill nets<br />

The mean length at capture for chambo in <strong>the</strong>se nets was 14 cm and <strong>the</strong> largest chambo caught was around 17 cm<br />

(figure 5). Therefore, chambo caught in <strong>the</strong>se gill nets, were immature. The vulnerability <strong>of</strong> <strong>the</strong> chambo caught in<br />

gill nets <strong>of</strong> 2-3 inch mesh sizes increases due to its migratory behaviour, since at this size <strong>the</strong> chambo moves from<br />

shallow to <strong>the</strong> deep water where it meets <strong>the</strong> nets.<br />

Oreochromis spp. 2.0" selectivity<br />

100<br />

Figure 5. Chambo 2.0 inch gill net selectivity curve.<br />

% Proportion<br />

50<br />

0<br />

O<strong>the</strong>rs<br />

14%<br />

Bagrus<br />

3%<br />

Nyassachromis<br />

16%<br />

11 12 13 14 15 16 17 18 19 20 21<br />

Length (cm)<br />

Observed Predicted<br />

Clarias<br />

17%<br />

Labeo<br />

3%<br />

Copadichromis<br />

16%


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Table 3. Mean length-at-capture (lc) expressed as a proportion <strong>of</strong> <strong>the</strong> length-at maturity (Lmat) for <strong>the</strong> main<br />

target species analysed with gamma function. Adapted from Weyl et al. 2000.<br />

Species Lmat Mesh size in inches for sampled species<br />

1.0 1.25 1.5 1.75 2 2.5 3 3.5 3.75<br />

Aulonocar macrochir 13.5 cm* 0.9<br />

Buccochromis lepturus 31.5 cm 2 0.83<br />

Copadichromis eucinostomus 10 cm* 1.1<br />

Copadichromis quadrimaculatus 17.7 cm 2 0.9 0.96<br />

Copadichromis virginalis 10.6 cm 2 1.25 1.14 1.18 1.14 1.2<br />

Lethrinops alta 11.25 cm* 1.23<br />

Lethrinops gossie 14.7 cm* 1.12<br />

Lethrinops longimanus 15.9 cm* 1.14<br />

Lethrinops parvidens 15.3 cm* 0.71<br />

Lethrinops pinkhead 9.0 cm* 1.07 1.12<br />

Nyasachromis leuciscus 12.0 cm 2 1.9<br />

Oreochromis spp. 20.3 cm 1 0.5 0.7 1.18 1.19 1.25<br />

Otopharynx argyrosoma 11.4 cm 2 0.89 0.93<br />

Rhamphochromis spp. 28.71 cm* 1.33 1.35<br />

Taeniolethrinops praeorbitalis 22.5 cm* 1.05<br />

Tramitichromis lituris 13.5 cm* 0.87<br />

Trematocranus placodon 18.8 cm 2 1.04 1.09<br />

Tyrannochromis macrostoma 18.1 cm* 1.11<br />

Barbus eurystomus 30.0 cm 2 1.18 1.19<br />

Barbus johnstoni 30.4 cm 2 1.15 1.15<br />

Opsaridium microcephalus 35.6 cm* 0.94<br />

Lc/Lmat<br />

Bagrus meridionalis 52.2 cm 1 0.43 0.66 0.72 0.72<br />

Bathyclarias spp. 60.0 cm 1 0.83 0.82<br />

Synodontis njassae 10.0 cm 1 1.34 1.4<br />

Lmat was derived from * estimated at 75% <strong>of</strong> <strong>the</strong> maximum length for species given in Turner 1996,<br />

1- Bulirani et al. 1999, 2- Weyl 2000.<br />

3-4 inch mesh gill nets<br />

Figure 6 shows <strong>the</strong> percent catch composition <strong>of</strong> <strong>the</strong> 5 main species that contributed 95% <strong>of</strong> <strong>the</strong> total catch by<br />

weight in gill nets with mesh sizes between 3 to 4 inches. In all, 70 fish species were recorded from this category <strong>of</strong><br />

nets (Table 3). Chambo comprised 70% <strong>of</strong> <strong>the</strong> total catch in <strong>the</strong>se gill nets and for <strong>the</strong> 3.5 inch gill nets, <strong>the</strong> mean<br />

length at capture for chambo was 24.5 cm, 2.2 cm longer than <strong>the</strong> length at maturity. Therefore, gill nets with mesh<br />

sizes between 3-4 inches catch mature chambo.<br />

The mean length at capture for B. meridionalis in 3.5 inch gill nets was 37.5 cm while <strong>the</strong> length at maturity is 52.2<br />

cm (Bulirani et al. 1999). This showed that <strong>the</strong> length at first capture was less than <strong>the</strong> length at maturity.<br />

The mean length at capture for Bathyclarias spp. in 3.5 inches was 49.5 cm while <strong>the</strong> length at maturity is 60.0 cm.<br />

This means that individuals caught in this mesh size were immature. The range <strong>of</strong> capture for both Bagrus<br />

meridionalis and Bathyclarias spp. was very wide and individuals were caught outside <strong>the</strong> selection curve in both<br />

cases reflecting <strong>the</strong> fact that two methods <strong>of</strong> capture were involved (Hamley, 1975). These were entanglement and<br />

wedging. Catfish are vulnerable to entanglement because <strong>the</strong>y have dorsal and pectoral spines.


% catch Contribution <strong>of</strong> main species in 3-4" nets<br />

O<strong>the</strong>rs<br />

4%<br />

Oreochromis<br />

70%<br />

Figure 6. Catch composition <strong>of</strong> main species in 3-4 inch gill net.<br />

Figure 7. Selection curve for chambo in 3.5 inch gill nets<br />

Figure 8. Bagrus meridionalis 3.5 inch gill net selection curve.<br />

% Proportion<br />

% Proportion<br />

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Lake Malawi Fisheries Management Symposium - Proceedings<br />

Bagrus<br />

10%<br />

O r eochr om i s spp. 3.5" selectivity<br />

100<br />

80<br />

60<br />

40<br />

20<br />

Barbus<br />

6%<br />

0<br />

14 18 22 26 30 34 38<br />

Length (cm)<br />

100<br />

80<br />

60<br />

40<br />

20<br />

Observed Predicted<br />

Bathyclarius.<br />

8%<br />

Buccochromis.<br />

2%<br />

Bagrus meridionalis 3.5" selectivity<br />

0<br />

23 27 31 35 39 43 47 51 55<br />

Length (cm)<br />

Observed Predicted


% Proportion<br />

100<br />

Figure 9. Bathyclarias spp. 3.5 inch selection curve.<br />

80<br />

60<br />

40<br />

20<br />

Bathyclarias spp. 3.5" selectivity<br />

0<br />

34 38 42 46 50 54 58 62 66<br />

Length (cm)<br />

Observed Predicted<br />

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Conclusion.<br />

Gill nets with mesh sizes between 1-2 inches have <strong>the</strong> potential to catch immature chambo. However, <strong>the</strong>y do not as<br />

small chambo inhabit very shallow waters <strong>of</strong> less than 5 metres (FAO, 1993) while <strong>the</strong> nets are set in water deeper<br />

than 40 metres where <strong>the</strong>y are set to target small <strong>of</strong>fshore cichlids especially utaka.<br />

Gill nets with mesh sizes between 2-3 inches catch immature chambo normally <strong>of</strong> less than 17 cm TL that migrate<br />

from <strong>the</strong> shallow into <strong>the</strong> deep waters. Gill nets with mesh sizes between 3-3.75 inches catch mature chambo. Gill<br />

nets with mesh size <strong>of</strong> 3.75 inches and less, that are currently in use, catch immature catfish. Any mature catfish<br />

caught in <strong>the</strong>se nets do so by being entangled.<br />

Therefore, we recommend <strong>the</strong> development <strong>of</strong> distinct gill net <strong>fisheries</strong> for specific target species. This may be<br />

achieved by identifying <strong>the</strong> most important fishing grounds or areas in <strong>the</strong> <strong>lake</strong> and <strong>the</strong>n by adopting and promoting<br />

<strong>the</strong> best harvesting strategy for each target species. We also discourage <strong>the</strong> use <strong>of</strong> 2-3 inch gill nets as <strong>the</strong>se catch<br />

immature chambo in deep waters.<br />

Acknowledgements<br />

Funding for this study mostly came from <strong>the</strong> European Union (EU) and <strong>the</strong> Department <strong>of</strong> Fisheries’ Fisheries<br />

Research Fund (FRF). Some additional data came from <strong>the</strong> gear selectivity surveys sponsored by <strong>the</strong> GTZ supported<br />

National Resource Management Programme (Narmap). Special thanks are due to Dr. Olaf Weyl, <strong>the</strong> Narmap<br />

Research Advisor and Dr. M. Banda <strong>the</strong> <strong>of</strong>ficer-in-charge for Fisheries Research station.<br />

References.<br />

Bulirani, A.E., Banda. M.C., Palsson, O.K., Weyl, O.L.F., Kanyerere, G.Z., Manase. M.M., Sipawe, R.D., 1999. Fish and<br />

Fisheries <strong>of</strong> Malawian waters: Resource report. Government <strong>of</strong> Malawi, Fisheries Research Unit.<br />

Burd, A. C., 1963. On selection by <strong>the</strong> drifter fleets in East Anglia herring fishery. J. Cons. Int. Explor. Mer 28: 91-120.<br />

Hamley, J. M., 1975. Review <strong>of</strong> gillnet selectivity. J. Fish. Res. Board can. 32: 1943-1969.<br />

FAO, Fisheries <strong>management</strong> in <strong>the</strong> South-east arm <strong>of</strong> Lake Malawi, upper Shire River and Lake Malombe, with particular<br />

reference to <strong>the</strong> <strong>fisheries</strong> on chambo (Oreochromis spp). CIFA Technical Paper. No. 21. Rome, FAO 1993. 113p.<br />

Konda, M., 1962. The relation between <strong>the</strong> size <strong>of</strong> <strong>the</strong> mesh <strong>of</strong> salmon gill net and <strong>the</strong> length <strong>of</strong> salmons in <strong>the</strong> catches. (in<br />

Japanese with English summary) Bull. Hokkaido Reg. Res. Lab. 24: 138-147.<br />

Kipling, C., 1957. The effects <strong>of</strong> gillnet selection on <strong>the</strong> estimation <strong>of</strong> weight-length relationship. J. Cons. Int. Expor. Mer. 23:<br />

51-63.<br />

Manase, M. M., 2000. Traditional Gear Selectivity in Sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi. GTZ-NARMAP Tech. Rep. No. 4.<br />

Marechal, C. 1991. Copadichromis. In <strong>the</strong> check-list <strong>of</strong> <strong>the</strong> freshwater fishes <strong>of</strong> Africa (CLOFFA). I Daget, J. –P. Gosse, G. G.<br />

Teugels and D> F. E. Thys van den Audenaerde (eds.). ISNB, Brussels, MRAC, Tervuren; and ORSTUM, Paris. Vol.<br />

4: 51-58.<br />

Weyl, O.F.L., Banda, M.C., Sodzapanja, G. Mwenekiombwe, L.H., Namoto, W. and Mponda, O.C., 1999. Annual Frame survey.<br />

Malawi Government. Fisheries Bulletin No. 42.


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Fisheries activities in nor<strong>the</strong>rn Lake Nyasa (Kyela District)<br />

John A. Mwambungu<br />

Tanzania Fisheries Research Institute, Kyela Centre, P.O. Box 98, Kyela-Tanzania<br />

Abstract<br />

When compared with <strong>the</strong> o<strong>the</strong>r East African Great <strong>lake</strong>s, <strong>the</strong> <strong>fisheries</strong> activities <strong>of</strong> Lake Nyasa are very low. This might be due to<br />

poor fishing vessels and gears used by <strong>the</strong> artisanal fishermen and <strong>the</strong> ultra-Oligotrophic nature <strong>of</strong> <strong>the</strong> <strong>lake</strong>. The present paper<br />

looks at <strong>the</strong> <strong>fisheries</strong> potential <strong>of</strong> Lake Nyasa in Kyela district and suggests strategies for development.<br />

Introduction<br />

Lake Nyasa lies at <strong>the</strong> Sou<strong>the</strong>rn end <strong>of</strong> <strong>the</strong> East African rift valley. The <strong>lake</strong> is long and narrow. It is 560 km long<br />

and has a surface area <strong>of</strong> 30 800 km² ranking ninth in order <strong>of</strong> size among <strong>the</strong> <strong>lake</strong>s <strong>of</strong> <strong>the</strong> world. On a south, north<br />

transect, <strong>the</strong> <strong>lake</strong> shows a remarkable increase in depth, with <strong>the</strong> north being deeper and <strong>the</strong> south shallower. It is<br />

one <strong>of</strong> <strong>the</strong> deepest <strong>lake</strong>s in <strong>the</strong> World with an average depth <strong>of</strong> 275 m ranging from 200 m to 700 m (Ngatunga et al.<br />

1997). The <strong>lake</strong> is shared by three riparian states Malawi, Mozambique and Tanzania (Figure 1).<br />

Malawi<br />

Kyela<br />

Itungi port Matema<br />

Nkanda<br />

Figure 1. Lake Nyasa (Tanzania side).<br />

Ludewa<br />

Lupingu<br />

Manda<br />

TANZANIA<br />

Mbinga<br />

Mbamba-bay<br />

MOZAMBIQUE<br />

An area <strong>of</strong> 5 569 km², which is about 18% <strong>of</strong> <strong>the</strong> <strong>lake</strong> in <strong>the</strong> north, is within Tanzania jurisdiction. Three<br />

administrative regions namely Ruvuma, Iringa and Mbeya share <strong>the</strong> <strong>lake</strong>. Kyela district, which is a focus <strong>of</strong> <strong>the</strong><br />

present paper, falls within Mbeya Region<br />

In Tanzania <strong>the</strong> shoreline <strong>of</strong> <strong>the</strong> <strong>lake</strong> is 258 km long, and has three main ecological zones: First is <strong>the</strong> rocky shore <strong>of</strong><br />

<strong>the</strong> north east shoreline which is characterised by deep slopes from <strong>the</strong> Livingstone mountains. The mountains<br />

which reads high as 3 000 m in <strong>the</strong> north extend along <strong>the</strong> <strong>lake</strong> shore from Matema to Manda, curve in land<br />

eastwards and reappear after Ndumbi, where <strong>the</strong>y become lower and less steep. In <strong>the</strong> sou<strong>the</strong>rn part <strong>of</strong> <strong>the</strong> range <strong>the</strong><br />

shore is characterised by reefs, inshore rocks and small uninhabited islands; second is <strong>the</strong> wide sandy beaches which<br />

occur in few areas such as Matema, Lupingu, Manda, Njambe, Liuli and Mbamba-bay. Third are <strong>the</strong> river estuaries<br />

associated with swampy areas covered with reeds. They are found in two areas: Wissman Bay from Songwe river on<br />

<strong>the</strong> Malawi border to Matema were four rivers flow into <strong>the</strong> <strong>lake</strong> (Songwe, Kiwira, Mbaka and Lufilyo) and in<br />

Amelia Bay, around <strong>the</strong> Ruhuhu delta which covers an area <strong>of</strong> 400 km² (Ng’ang’a 1993) from Manda to Ndumbi<br />

Reef. The shoreline in <strong>the</strong>se areas is characterised by sand and mud <strong>the</strong> water is predominantly muddy.<br />

The <strong>lake</strong> is <strong>of</strong> enormous importance to Tanzania as a means <strong>of</strong> transport, reservoir <strong>of</strong> fresh water and a source <strong>of</strong><br />

food (i.e. fish). Characteristics <strong>of</strong> <strong>the</strong> shoreline are very important in understanding <strong>the</strong> distribution <strong>of</strong> <strong>the</strong> fishes and


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hence <strong>the</strong> <strong>fisheries</strong> <strong>of</strong> Lake Nyasa in <strong>the</strong> Tanzania waters. Fishing activity is mainly artisanal, using traditional crafts<br />

and gear. However, <strong>the</strong> <strong>lake</strong> is characterised by very rough wea<strong>the</strong>r conditions, which make <strong>the</strong> traditional fishing<br />

with canoes a very dangerous venture. Moreover, because <strong>of</strong> <strong>the</strong> depth, nutrient levels available to phytoplankton are<br />

generally very low and based on nutrient; <strong>the</strong> <strong>lake</strong> is considered Oligotrophic (nutrient poor). An exception to <strong>the</strong><br />

above is <strong>the</strong> shallow south and around river mouths, areas which are considered to be highly productive. The present<br />

work tries to evaluate <strong>the</strong> fish resource potential <strong>of</strong> Lake Nyasa in Kyela district and suggests strategies for<br />

development.<br />

Fish Exploitation<br />

The capture <strong>fisheries</strong> <strong>of</strong> Kyela are divided into two main sectors namely food and Ornamental <strong>fisheries</strong>. The latter is<br />

useful to <strong>the</strong> nation as a source <strong>of</strong> foreign money, however <strong>the</strong> food capture is <strong>the</strong> most important sector constituting<br />

a major source <strong>of</strong> income and protein for coastal population.<br />

Fishing on <strong>the</strong> Tanzania side is under developed and has received very little attention. The common fishing vessel is<br />

<strong>the</strong> dugout canoes (3-4 m length). The canoes are small, unstable and propelled by paddles; one or two fishermen<br />

normally operate <strong>the</strong>m. The fishery is mainly restricted to inshore waters within 2 km <strong>of</strong> <strong>the</strong> shoreline.<br />

The principal fishing gears are gillnets, seines, hook and lines scoopnets and traps. In Kyela, <strong>the</strong> anadromous<br />

piscivorous cyprinids Opsaridium microlepis and O.microcephalus are <strong>of</strong> great importance. Several major affluent<br />

rivers (Songwe, Kiwira, Mbaka and Lufilyo) provide suitable habitats for spawning. Fisheries around and in <strong>the</strong><br />

river mouths have long been intensive whereby gillnets and sometimes seines are used to exploit <strong>the</strong>se cyprinids and<br />

o<strong>the</strong>r species during spawning period. This type <strong>of</strong> fishery makes <strong>the</strong> anadromous species more vulnerable to over<br />

fishing leading to destruction <strong>of</strong> stocks.<br />

Gillnets <strong>of</strong> stretched mesh size <strong>of</strong> 2 inch are used for catching cichlids (haplochromine and tilapine sp.), 2½ inch-<br />

3½ inch for bigger tilapine sp. and Opsaridium microcephalus, 3½-6 inch used for catching bigger fish species<br />

(Opsaridum microlepis, clarias sp. and Bathyclarias sp.).<br />

With <strong>the</strong> introduction <strong>of</strong> open water seine nets from Malawi, artisanal fishing units have been concentrated at Itungi,<br />

Mwaya, and Matema, (Wissman Bay). The open water seine known as ndaturu which is similar to <strong>the</strong> chilimira nets<br />

<strong>of</strong> Malawi, use light to attract Engraulicypris sardella (usipa) and small Rhamphochromis sp(Ngelwa) during<br />

moonless nights. During <strong>the</strong> day <strong>the</strong> gears are used to catch Diplotaxodon sp. (mantura) and Copadichromis sp.<br />

(vituwi) from deep inshore waters, and Tilapiine cichlids (magege) in <strong>the</strong> shallow waters <strong>of</strong> <strong>the</strong> Bay.<br />

Handline is commonly operated by most <strong>of</strong> <strong>the</strong> fishermen for catching tilapine species while bottom-set longlines<br />

are used for catching bigger demersal species (Clarias and Bagrus sp.).<br />

Recently fishermen in Kyela district have adopted drifting pelagic longlines after successful demonstrations to<br />

fishing communities <strong>of</strong> Itungi, Mwaya and Matema by TAFIRI. The gear target for large predatory fish such as<br />

large Rhamphochromis sp. (lumbulu/hangu) and Bathyclarias sp. (Ngoshora). The relationship between fish<br />

production and different components <strong>of</strong> artisanal fishery in Kyela district between 1990 and 1996 is shown in Figure<br />

2. The yield has fluctuated between 1 664.7 tons and 2 142.7 tons. Production is observed to drop from 1 428.5 tons<br />

in 1991 to 264.2 tons in 1992 and increased abruptly in 1992 to 1 423.1 tons. Canoes decreased from 295 in 1990 to<br />

205 in 1992 and increased from 312 in 1993 to 374 canoes in 1996 while fishermen decrease from 682 in 1990 to<br />

412 in 1992 and initially increased from 542 in 1993 to 709 in 1996.<br />

Catch composition <strong>of</strong> fish landed at beaches <strong>of</strong> Kyela district in 1996 is summarised in Figure 3. Catch was<br />

dominated by Engraulicypris sadella registering 28% followed by Rhamphochromis sp. (18%), Tilapines (17%),<br />

O<strong>the</strong>rs (15%) and Haplochromines (11). Bagrus meridionalis and Clarias sp. each contributed 4% while<br />

Opsaridium sp. and Labeo sp. contributed 2% and 1% respectively. Barbus species contribution was less than I% to<br />

<strong>the</strong> total catch.


Catch (tonnes)& Fishing effort<br />

2500<br />

2000<br />

1500<br />

1000<br />

500<br />

0<br />

1990 1991 1992 1993 1994 1995 1996<br />

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Lake Malawi Fisheries Management Symposium - Proceedings<br />

Figure 2. Fishing effort (fishers and canoes) and annual catch for Kyela district (Fisheries data 1990-<br />

1996).<br />

O<strong>the</strong>rs<br />

Barbus15%<br />

0%<br />

Usipa<br />

29%<br />

Opsaridium<br />

2%<br />

Figure 3. Catch composition by weight <strong>of</strong> fish landed at Kyela beaches (Fisheries data).<br />

Years<br />

Tilapiines<br />

18%<br />

Fish processing<br />

The production <strong>of</strong> fish from Lake Nyasa does not meet <strong>the</strong> demand and thus most <strong>of</strong> <strong>the</strong> fish from <strong>the</strong> <strong>lake</strong> is<br />

consumed fresh. Processing activities are in most cases done for immediate consumption. Frying is <strong>the</strong> most<br />

common method. A big fish like Opsaridium microlepis is first cut into small pieces. The pieces are fried in oil and<br />

sold on <strong>the</strong> rural market,"pombe" (local brew beer) shop and bars, occasionally, when <strong>the</strong>re is a bumper catch or<br />

when fish cannot fetch immediate market fish is hot smoked in <strong>the</strong> evenings.<br />

Fish Marketing<br />

As mentioned earlier most <strong>of</strong> <strong>the</strong> fish is consumed fresh. At <strong>the</strong> landing sites <strong>the</strong> fresh fish is displayed in canoes or<br />

on sand. The fish is sold to different buyers who include consumers and fish mongers. A fishermen who owns <strong>the</strong><br />

gears may sell his catch to his relatives or traders and o<strong>the</strong>r people. Some fishermen obliged to sell <strong>the</strong> catch to<br />

boat/gear owner who will <strong>the</strong>n retail <strong>the</strong> catch. The price is normally reached by negotiations and experience,<br />

sometimes butter trade operates.<br />

The fish traders comprise adult men and women. The fresh fish buyers carry <strong>the</strong>ir fish to ei<strong>the</strong>r rural markets or<br />

Kyela Central market on <strong>the</strong> head or on bicycles. The fish are put in bamboo baskets and gunny bags.<br />

At <strong>the</strong> rural markets fish are displayed on raised racks with or without ro<strong>of</strong>. At Kyela Central market <strong>the</strong>re is a wellestablished<br />

fish-receiving block erected since 1987. Inside <strong>the</strong> fresh fish is displayed on raised concrete tables<br />

Fishers<br />

Canoes<br />

Catch<br />

Labeo<br />

1%<br />

Rhamphochromis<br />

19%<br />

Haplochromines<br />

12%<br />

Bagrus<br />

4%


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supplied with tap water. There is also a room installed with measuring balance for recording weights <strong>of</strong> fish received<br />

every day.<br />

In rare cases smoked fish (Opsaridium sp.) and sun-dried dagaa (Engraulicypris sardella) from Ludewa (Iringa<br />

Region) and Mbinga (Ruvuma Region) reach Itungi Port by ship. Most <strong>of</strong> <strong>the</strong> processed fish find market in <strong>the</strong><br />

villages and Kyela Central market.<br />

Future Strategies<br />

The future strategies for <strong>fisheries</strong> development in Kyela district should focus on <strong>the</strong> following areas.<br />

Boat construction<br />

The dugout canoes used in <strong>the</strong> <strong>lake</strong> are quite inefficient as fishing crafts and are risky because <strong>the</strong> <strong>lake</strong> becomes<br />

rough quite <strong>of</strong>ten. The poor development in <strong>the</strong> fishery <strong>of</strong> <strong>the</strong> Tanzania side <strong>of</strong> <strong>the</strong> <strong>lake</strong> is partly due to poor fishing<br />

crafts. Offshore pelagic fishing require better fishing crafts. Investors should look into <strong>the</strong> possibility <strong>of</strong> constructing<br />

appropriate boats in Kyela area for <strong>the</strong> nor<strong>the</strong>rn <strong>lake</strong> zone (Tanzania side). Hard wood-“Mninga” (Pterocarpus<br />

angolensis) used for constructing boats is available and <strong>the</strong> demand for such boats is high which justifies investment<br />

in boat building. So far <strong>the</strong>re is only one centre (at Liuli in Ruvuma Region) which trains few people how to build<br />

modern boats. That <strong>of</strong> Itungi Port should be rehabilitated.<br />

Exploitation <strong>of</strong> pelagic resources by use <strong>of</strong> open water seine nets -chilimira nets (ndaturu)<br />

Suitable gears for Kyela area are known to be chilimira nets, gillnets and longline. Chirimila nets however are<br />

gaining popularity especially in capturing Copadichromis sp., Diplotaxodon sp., Oreochromis sp., Rhamphochromis<br />

sp. and Engraulicypris sardella as mentioned earlier.<br />

With this gear <strong>the</strong>re has been a marked shift <strong>of</strong> fishing effort from shallow inshore waters, which serve as nursery<br />

areas for many cichlid species towards deeper waters. Therefore investment in chilimira nets is viable, as <strong>the</strong> target<br />

fish species is plentiful. A proper write up on <strong>the</strong> investment however should be made before investment is<br />

undertaken. TAFIRI is proposing to do a study on <strong>the</strong> open seine fishery within <strong>the</strong> Tanzanian water with <strong>the</strong><br />

objective <strong>of</strong> alleviating poverty through increased income and protein consumption.<br />

Exploitation <strong>of</strong> pelagic resources by use <strong>of</strong> drifting longline<br />

After recommendation <strong>of</strong> long lining in <strong>the</strong> pelagic zone by UK/SADC Lake Malawi Fisheries Project, TAFIRI<br />

carried out a project on <strong>the</strong> long lining in Kyela area and <strong>the</strong> results are encouraging (Mlay et al. 1994). Investment<br />

in longlining is ra<strong>the</strong>r low as <strong>the</strong> prices <strong>of</strong> hooks and twines are relatively cheap. Ordinary artisanal fishermen can<br />

afford <strong>the</strong>m. The only expensive part <strong>of</strong> <strong>the</strong> project is <strong>the</strong> purchase <strong>of</strong> boat and engine. Investors would need to make<br />

feasibility studies before investing but on <strong>the</strong> whole it will need small investment.<br />

Fish marketing<br />

Most fish consumers prefer eating fresh fish. With <strong>the</strong> good tarmac road connecting Dar es Salaam and Kyela and<br />

<strong>the</strong> major towns in <strong>the</strong> country fresh fish from Lake Nyasa could be transported from <strong>the</strong> <strong>lake</strong> area to <strong>the</strong> towns if<br />

<strong>the</strong> traders invest in insulated containers. These containers are now being made locally in Dar es Salaam. The use <strong>of</strong><br />

iced insulated containers will reduce post harvests loses <strong>of</strong> <strong>the</strong> fish and improve <strong>the</strong> quality <strong>of</strong> fish that reach <strong>the</strong><br />

consumer.<br />

Ornamental fish trade<br />

Lake Nyasa is known for its unique fish species. The <strong>lake</strong> ranks very high in ornamental fish trade. In Kyela two<br />

companies are engaged in ornamental fish trade. TAFIRI is considering collaborating with any institution into <strong>the</strong><br />

identification <strong>of</strong> <strong>the</strong> ornamental fishes toge<strong>the</strong>r with <strong>the</strong> fishing grounds. Investors are invited to take up <strong>the</strong><br />

ornamental fish trade, which could be done, on joint venture basis. The potential is high. For proper <strong>management</strong><br />

suitable areas for ornamental fish should be mapped out and Lake Shore communities should benefit from <strong>the</strong> trade.<br />

References<br />

Mlay, M.K.L., Mwambungu, J.A. and Kihedu, K.J.1994. Longline Fishery Prospects in Lake Nyasa. TAFIRI Annual Research<br />

Report. Tanzania.<br />

Nga’ng’a, P.1993.Deltaic sedimentation in a lacustrine environment <strong>of</strong> Lake Malawi, Africa.J. Afr. Earth Sci. 16,253-264.<br />

Ngatunga, B.P., Mwambungu, J.A., Kihedu, K.J., Mlay, M.K.L.and Waya, R.1997.Biodiversity Conservation and Fisheries<br />

Management on Lake Nyasa, Tanzania. Proceedings <strong>of</strong> <strong>the</strong> Workshop <strong>of</strong> <strong>the</strong> Senga Bay,Malawi, February 1997.


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Hard choices for chambo <strong>management</strong> in Area A <strong>of</strong> <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> Lake<br />

Malawi<br />

Olaf L.F. Weyl<br />

National Aquatic Resource Management Programme (NARMAP), P.O.Box 27, Monkey Bay, Malawi.<br />

E-mail: narmapbay@<strong>malawi</strong>.net<br />

Abstract<br />

Management <strong>of</strong> <strong>the</strong> fishery in Area A <strong>of</strong> <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi (SEA) is complicated by multi-gear utilisation and by <strong>the</strong><br />

multi-species nature <strong>of</strong> <strong>the</strong> catch. One option for <strong>management</strong> is to prioritise key species for <strong>management</strong>. The suitability <strong>of</strong><br />

chambo (Oreochromis) species as a key <strong>management</strong> species group for Area A is discussed. The stocks were modelled using<br />

multi-gear yield- and spawner biomass-per-recruit models to investigate four <strong>management</strong> target reference points (TRP’s). These<br />

TRP’s were Fmax, F0.1 and FSB40 and FSB50 . Fmax corresponds with <strong>the</strong> asymptote <strong>of</strong> <strong>the</strong> yield-per-recruit curve and approximates<br />

Maximum Sustainable Yield, F0.1 is <strong>the</strong> rate <strong>of</strong> fishing mortality at which <strong>the</strong> slope <strong>of</strong> <strong>the</strong> yield-per-recruit curve falls to 10% <strong>of</strong> its<br />

value at <strong>the</strong> origin, FSB40 and FSB50 are <strong>the</strong> points on <strong>the</strong> spawner-biomass-per-recruit curve corresponding to a reduction <strong>of</strong> 40% and<br />

50% <strong>of</strong> <strong>the</strong> pristine spawner-biomass. It was estimated that <strong>the</strong> current fishing mortality rate (F) for Area A chambo approximated<br />

0.34 yr -1 . This exploitation level was below <strong>the</strong> Fmax TRP but exceeded <strong>the</strong> more conservative F0.1 TRP. In addition, current<br />

exploitation rates exceeded both spawner biomass based TRP’s. To attain <strong>the</strong> FSB40 TRP a 10% reduction in fishing effort was<br />

necessary and a 23% reduction in effort was necessary to attain <strong>the</strong> FSB50 TRP. Different <strong>management</strong> options taking into account<br />

<strong>the</strong> effect in total landings and employment are discussed.<br />

Introduction<br />

Through <strong>the</strong> participatory <strong>fisheries</strong> <strong>management</strong> (PFM) framework <strong>of</strong> <strong>the</strong> Department <strong>of</strong> Fisheries (DoF), fishing<br />

communities have <strong>the</strong> right to obtain <strong>fisheries</strong> <strong>management</strong> recommendations for <strong>the</strong>ir specific fishing grounds<br />

(GOM 2000). The provision <strong>of</strong> such <strong>management</strong> recomendations is <strong>the</strong> responsibility <strong>of</strong> <strong>the</strong> Fisheries Research<br />

Unit (FRU) <strong>of</strong> <strong>the</strong> DoF. Since <strong>the</strong>se recommendations are to cover finite areas for PFM, <strong>the</strong>y have to refer to<br />

localised areas that are small enough to allow for community based <strong>management</strong> but large enough so that<br />

<strong>management</strong> interventions will have an effect on <strong>the</strong> fish stock. Fur<strong>the</strong>rmore, <strong>management</strong> recommendations should<br />

be based on <strong>the</strong> best scientific knowlege available and take into consideration <strong>the</strong> multi-gear and multi-specie nature<br />

<strong>of</strong> <strong>the</strong> <strong>fisheries</strong> in Malawi.<br />

The fishery in Area A <strong>of</strong> <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi (SEA; Figure 1) has both small scale and large scale<br />

commercial components. The small scale fishery comprises some 420 gill nets, 119 chilimira nets, 27 kambuzi<br />

seines, 18 chambo seines and at least 12 nkacha nets (Weyl et al. 2000). This small scale fishery currently employs<br />

in excess <strong>of</strong> 1900 fishers (Weyl et al. 2000). The commercial fishery currently comprises 2 pair trawl units and one<br />

ring net unit. However, 4 pair trawl licences and two ring net licences are issued (Banda & Chirwa 2000).<br />

However, <strong>the</strong> consolidation <strong>of</strong> area A under one PFM <strong>management</strong> unit is considered feasible (Weyl 2001).<br />

Fisheries <strong>management</strong> in Area A is complicated by <strong>the</strong> multi species nature <strong>of</strong> <strong>the</strong> catch, and over 100 species<br />

contribute to <strong>the</strong> catches in Area A (Chisambo 2001, Manase 2001, Sipawe 2001, Nyasulu 2001). It has long been<br />

recognised, that when a fishery harvests a number <strong>of</strong> species it is impossible to manage each species at its optimum<br />

level (Murawski 1984). In such cases, one possible option is to base <strong>management</strong> on <strong>the</strong> least resilient species in a<br />

multi-species fishery (Weyl 1998). However, this requires prior knowledge <strong>of</strong> <strong>the</strong> biological and life history<br />

information on all target species. Such information is not available for most <strong>of</strong> <strong>the</strong> species targeted by Malawi’s<br />

small-scale <strong>fisheries</strong>. Until such data is available, it is recommendable to prioritise key species for <strong>management</strong> in<br />

specific areas. Such key species should contribute significantly towards <strong>the</strong> fishery and show declining catch trends<br />

that indicate that <strong>management</strong> intervention is necessary and <strong>the</strong> species should have life history traits such as limited<br />

distribution ranges, limited migration patterns, localised spawning and localised nursery areas, which would make<br />

locality specific <strong>management</strong> feasible.


Figure 1. The south east arm <strong>of</strong> Lake <strong>malawi</strong> showing Area A.<br />

147<br />

Lake Malawi Fisheries Management Symposium - Proceedings<br />

The chambo (Oreochromis ‘Nyasalapia’ spp.) stock in Area A fulfills <strong>the</strong>se criteria. It has been shown that chambo<br />

contributes more than 30% to <strong>the</strong> total catch in Area A and <strong>the</strong>refore contributes significantly to <strong>the</strong> fishery (Figure<br />

2). The decline in <strong>the</strong> chambo stocks (Figure 2) in <strong>the</strong> SEA is well documented and <strong>management</strong> for this species is<br />

considered necessary (FAO 1993, Tweddle et al. 1994, Palsson et al. 1999, Bulirani et al. 1999). Kanyerere (2001)<br />

showed that <strong>the</strong> chambo stock <strong>of</strong> <strong>the</strong> SEA was concentrated in Area A and over 70% <strong>of</strong> <strong>the</strong> SEA chambo catch<br />

originates from this area (FRU unpublished catch data). While migration <strong>of</strong> chambo from <strong>the</strong> SEA into Lake<br />

Malombe have been considered, <strong>the</strong>re is currently little substantiating evidence (FAO 1993) it is likely that Lowe’s<br />

(1952) observation that <strong>the</strong> chambo stock is localised and prone to local overfishing remains valid. Hence <strong>the</strong><br />

<strong>management</strong> <strong>of</strong> <strong>the</strong> chambo population in Area A is feasible.<br />

Catch (tons)<br />

4500<br />

4000<br />

3500<br />

3000<br />

2500<br />

2000<br />

1500<br />

1000<br />

500<br />

0<br />

1984<br />

1985<br />

1986<br />

1987<br />

1988<br />

1989<br />

1990<br />

Figure 2. Chambo catch in <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi. The contribution <strong>of</strong> Area A to <strong>the</strong> total<br />

chambo catch is represented by <strong>the</strong> shaded portion.<br />

1991<br />

1992<br />

Year<br />

1993<br />

1994<br />

1995<br />

1996<br />

1997<br />

1998<br />

1999


148<br />

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In an attempt to define optimum fishing mortality from a per-recruit perspective <strong>the</strong> use <strong>of</strong> target reference points<br />

(TRPs) has become common practice in <strong>fisheries</strong> <strong>management</strong> (Clarke 1991, Punt 1993, Caddy & Mahon 1995,<br />

Booth & Buxton 1997, Griffiths 1997, Bulirani et al. 1999). The TRP approach is already advocated by <strong>the</strong> DoF<br />

and <strong>the</strong> 1999 Resource Report makes <strong>management</strong> recommendations for <strong>the</strong> <strong>fisheries</strong> based on TRP’s based on<br />

catch per unit effort in <strong>the</strong> small scale fishery (Bulirani et al. 1999).<br />

The yield-per-recruit (YPR) approach allows for <strong>the</strong> determination <strong>of</strong> at least two commonly used TRPs: firstly, <strong>the</strong><br />

fishing mortality which corresponds to <strong>the</strong> maximum <strong>of</strong> <strong>the</strong> yield-per-recruit curve (Fmax) and secondly, <strong>the</strong> marginal<br />

yield or F0.1 strategy (Gulland & Boerema 1973, Deriso 1987), which is <strong>the</strong> rate <strong>of</strong> fishing mortality at which <strong>the</strong><br />

slope <strong>of</strong> <strong>the</strong> yield-per-recruit curve falls to 10% <strong>of</strong> its value at <strong>the</strong> origin. However, <strong>the</strong> yield-per-recruit approach<br />

assumes that recruitment is constant and independent <strong>of</strong> spawner biomass. Since, <strong>the</strong>re is little doubt that in most<br />

fish species <strong>the</strong> stock-recruitment relationship is density dependent (Shepherd 1982, Sissenwine & Shepherd 1987).<br />

Since, Oreochromis species are mouthbrooders with extended parental care (Trewavas 1983), a density dependent<br />

spawner biomass-recruitment relationship is implied. For similar reasons, scientists concerned with <strong>the</strong> <strong>management</strong><br />

<strong>of</strong> marine species have tended to base <strong>the</strong>ir TRP recommendations on <strong>the</strong> results <strong>of</strong> spawner biomass-per-recruit<br />

(SBR) models (Butterworth et al. 1989, Smale & Punt 1991, Booth & Buxton 1997, Griffiths 1997). The definition<br />

<strong>of</strong> a spawner-biomass TRP (FSB(x)) involves setting <strong>the</strong> fishing mortality to a level at which spawner biomass-perrecruit<br />

is reduced to x% <strong>of</strong> its pristine level. Although <strong>the</strong>re is no conventional FSB(x) TRP, spawner biomass-perrecruit<br />

recommendations lie between 25% and 50% <strong>of</strong> unexploited levels (Deriso 1987, Sissenwine & Shepherd<br />

1987, Butterworth et al. 1989, Smale & Punt 1991, Clark 1991, Punt 1993, Booth & Buxton 1997). In <strong>the</strong> absence<br />

<strong>of</strong> information on <strong>the</strong> spawner biomass-recruitment relationship, <strong>the</strong> FSB(x) TRPs are currently considered <strong>the</strong> most<br />

robust, allowing for <strong>the</strong> determination <strong>of</strong> a fishing mortality rate that will provide relatively high yields at lower<br />

risks (Clarke 1991, Punt 1993).<br />

Three Oreochromis species O. squamipinnis, O. lidole and O. karongae, comprise <strong>the</strong> chambo stock, identification<br />

<strong>of</strong> juveniles to species level is problematic (FAO 1993). However, <strong>the</strong> similarity in age-at-maturity and growth rate<br />

in <strong>the</strong> three species allows for <strong>the</strong>ir treatment <strong>of</strong> all three as a single <strong>management</strong> unit. This allows for <strong>the</strong><br />

application <strong>of</strong> <strong>fisheries</strong> models such as <strong>the</strong> multi gear yield per recruit MGYPR (Djama & Pitcher 1997) and multi<br />

gear spawner-biomass per recruit MGSBR (Weyl 1998) to determine <strong>the</strong> effect <strong>of</strong> yield and spawnner biomass to<br />

varying levels for fishing mortality.<br />

The aim <strong>of</strong> this study was to investigate <strong>the</strong> effect <strong>of</strong> <strong>the</strong> <strong>management</strong> interventions suggested by <strong>the</strong> Fisheries<br />

Management and Conservation Act (GOM 2000) on <strong>the</strong> chambo fishery in Area A. These <strong>management</strong> interventions<br />

include: a closed season for seines during November and December, total bans on nkacha and kambuzi seines, a<br />

total ban on <strong>the</strong> light attraction chilimira/kauni fishery for chambo and minimum mesh size restrictions for gill nets<br />

from a per-recruit perspective. In addition, MGYPR and MGSBR approaches were applied to investigate four Target<br />

Reference Points (TRP’s). These were <strong>the</strong> YPR based Fmax and F0.1 TPRs and <strong>the</strong> SBR-based FSB40 and FSB50 TRP’s.<br />

as well as two spawner biomass dependent TRPs.<br />

Methods<br />

Per Recruit Models<br />

The multi-fishery per-recruit models used in this paper are based on an extension <strong>of</strong> <strong>the</strong> traditional per-recruit<br />

models (Djama& Pitcher 1997, Weyl 1998). Input parameters for <strong>the</strong> per-recruit simulations were derived from <strong>the</strong><br />

literature available on <strong>the</strong> chambo stocks (Table 1). Yield- per recruit was calculated by <strong>the</strong> equation:<br />

YPR<br />

⎡<br />

max<br />

= ∑<br />

a=<br />

0<br />

⎢ ~<br />

⎢(<br />

wa<br />

N a ( 1−<br />

exp( −(<br />

M<br />

⎢<br />

⎣<br />

+ ∑ S<br />

j<br />

aj<br />

F j ))))<br />

M<br />

∑<br />

j<br />

+<br />

S<br />

j<br />

aj<br />

∑<br />

F<br />

S<br />

j<br />

aj<br />

⎤<br />

⎥<br />

∆a<br />

F ⎥<br />

j ⎥<br />


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

and spawner-biomass-per-recruit for each species i (SBRi) in a multi-gear fishery was determined by:<br />

max<br />

SBR = ∑<br />

a=<br />

0<br />

where wa is <strong>the</strong> weight-at-age a, described by:<br />

Wa= α( la ) β<br />

where la is <strong>the</strong> length-at-age determined by <strong>the</strong> von Bertalanffy growth equation; α and β are parameters describing<br />

<strong>the</strong> length-weight relationship; Saj is <strong>the</strong> selectivity for age class a by fishery j, Fj is <strong>the</strong> instantaneous rate <strong>of</strong> fishing<br />

mortality (yr -1 ) for all <strong>fisheries</strong> j under consideration, M is <strong>the</strong> rate <strong>of</strong> natural mortality, and max is <strong>the</strong> maximum<br />

recorded age. N ia<br />

~ is <strong>the</strong> relative number-at-age <strong>of</strong> species i and was described as:<br />

~<br />

N<br />

ia<br />

where Sax is <strong>the</strong> selectivity <strong>of</strong> gear x for age class a and Fax is <strong>the</strong> proportional fishing mortality rate (yr -1 ) for that<br />

fishery. Fax was determined by <strong>the</strong> proportional contribution <strong>of</strong> each gear to <strong>the</strong> total chambo catch in all gears<br />

under consideration. Catch estimates for <strong>the</strong> year 2000 in <strong>the</strong> SEA were used (Table 2). All summations were<br />

∆ a <strong>of</strong> 0.10 <strong>of</strong> a year.<br />

conducted with a step size ( )<br />

Input parameters<br />

~<br />

ψ w N ∆a<br />

a<br />

a<br />

a<br />

⎧ 1<br />

if a = 0<br />

⎪<br />

= ⎨<br />

⎪ ~<br />

⎩N<br />

i,<br />

a−1<br />

exp( −(<br />

M + ( S a1Fa1<br />

+ S a2<br />

Fa<br />

2 + ... S a5<br />

Fa5<br />

))) o<strong>the</strong>rwise<br />

Growth parameters<br />

The average value for K (0.23) and L∞ (40.7cm) presented by Seisay et al. (1992) for Oreochromis spp. was used<br />

in all computations, while a to value <strong>of</strong> 0.26 was used as this gave realistic lengths at low ages (Palsson et al. 1999).<br />

The input parameters for <strong>the</strong> length weight equation (Equation 3) were derived Seisay et al. (1992).<br />

Mortality rates<br />

To obtain estimates for <strong>the</strong> instantaneous rate <strong>of</strong> total annual mortality (Z), length frequency data collected from<br />

trawl surveys undertaken by <strong>the</strong> R.V. Ndunduma in Area A in December 1995, January 1997, January 1998, June<br />

1999 and January 2000 were analysed by means <strong>of</strong> a linearised length-converted catch curve (Pauly 1983, 1984a,<br />

1984b). This method uses von Bertalanffy growth parameters 1 to plot <strong>of</strong> ln (F/dt) against t, where F is <strong>the</strong><br />

frequency <strong>of</strong> individuals in each length class, t is <strong>the</strong> relative age <strong>of</strong> <strong>the</strong> fish. The value dt is <strong>the</strong> time taken for <strong>the</strong><br />

fish to grow through a particular length class and allows for decreased growth with increased age. The negative <strong>of</strong><br />

<strong>the</strong> slope <strong>of</strong> <strong>the</strong> resultant linear regression line through <strong>the</strong> descending data points gives a first approximation <strong>of</strong> Z.<br />

For natural mortality, <strong>the</strong> FAO (1993) estimates M = 0.4 yr -1 for fish younger than 2 years, M =0.3 yr -1 for fish<br />

between 2 and 4 years old and M = 0.2 yr -1 for fish older than 4 years were used. Having obtained Z and M, fishing<br />

mortality was derived by subtraction (F = Z – M).<br />

Age specific selectivity<br />

Age-specific selectivity was estimated by age-converting length-based selectivity functions for chambo. Length<br />

based selectivity was obtained from available literature (Sipawe 2001, Chisambo 2001, FAO 1993). Both <strong>the</strong> reparameterised<br />

Gamma (Punt et al., 1996) and Logistic distributions were investigated to approximate gear<br />

selectivity patterns. The Gamma distribution was considered most suitable for gill nets as selectivity increases to a<br />

maximum and <strong>the</strong>n decreases. The selectivity pattern <strong>of</strong> chambo seines, kambuzi seines, chilimira/kauni and <strong>the</strong><br />

commercial <strong>fisheries</strong> was described by logistic distribution as selectivity was assumed to increases to, and remain at,<br />

a maximum.<br />

1 The average value for K (0.23) and L∞ (40.7cm) presented by Seisay et al. (1992) for Oreochromis spp. was<br />

used in all computations, while a to value <strong>of</strong> 0.26 was used as this gave realistic lengths at low ages (Palsson et al.<br />

1999).


Both distributions are described as<br />

S<br />

a<br />

a<br />

= ( )<br />

φ<br />

φ<br />

p<br />

e<br />

( φ −a)<br />

/ p<br />

( ) 1<br />

−(<br />

a−φ<br />

) / σ −<br />

1+<br />

e<br />

( 4 ) / 2<br />

2 2<br />

φ + σ −φ<br />

150<br />

Lake Malawi Fisheries Management Symposium - Proceedings<br />

p =<br />

(Gamma distribution)<br />

S =<br />

(Logistic distribution)<br />

a<br />

where Sa is <strong>the</strong> selection <strong>of</strong> <strong>the</strong> gear on fish <strong>of</strong> age a, φ is <strong>the</strong> age at maximum selectivity (in <strong>the</strong> Gamma<br />

distribution) or age-at-50% selection (in <strong>the</strong> Logistic distribution) and σ <strong>the</strong> width <strong>of</strong> <strong>the</strong> selectivity function.<br />

Table 1. Input parameters used for <strong>the</strong> application <strong>of</strong> yield and spawner-biomass-per-recruit models for<br />

<strong>the</strong> chambo (Oreochromis spp.) stock in Area A <strong>of</strong> <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi.<br />

Results<br />

Parameter Value Function<br />

Growth Parameters<br />

K= 0.23; L∞ = 40.5cm; to = -0.23 Von Bertalanffy<br />

Maximum age<br />

Maturity<br />

Length Weight<br />

Natural mortality<br />

10 yrs<br />

φ =2.93 yrs; σ = 0.64 yrs Logistic<br />

α = 0.017; β = 2.99 Equation 3<br />

Age 0-2 = 0.4 yr -1 ; Age 2-4 = 0.3 yr -1 ;<br />

Age 4+ = 0.2 yr -1<br />

Exponential decay<br />

Fishing Mortality<br />

F (all <strong>fisheries</strong>) 0.34 yr -1 Exponential decay<br />

2” gill net 0.0003 yr -1 Exponential decay<br />

3” gill net 0.046 yr -1 Exponential decay<br />

Chilimira/Kauni 0.25 yr -1 Exponential decay<br />

Nkacha/Kambuzi seine 0.001 yr -1 Exponential decay<br />

Chambo seine 0.03 yr -1 Exponential decay<br />

Commercial <strong>fisheries</strong> 0.01 yr -1 Exponential decay<br />

Selectivity<br />

2” gill net φ = 1.6; σ = 0.16 Gamma<br />

3” gill net φ = 3.68; σ =0.67 Gamma<br />

Chilimira/Kauni φ = 3.17; σ = 0.43 Logistic<br />

Nkacha/Kambuzi seine φ = 0.878; σ = 0.156 Logistic<br />

Chambo seine φ = 3.5; σ =0.4 Logistic<br />

Commercial <strong>fisheries</strong> φ = 3.19; σ = 0.48 Logistic<br />

Per-recruit analysis<br />

Input parameters used in <strong>the</strong> per-recruit analysis are summarised in Table 2. Length-converted catch curves for<br />

Oreochromis spp. are shown in Figure 2. Estimates <strong>of</strong> Z varied between surveys ranging from 0.50 yr -1 to 0.69 yr -1 .<br />

The mortality rate estimated from <strong>the</strong> January 1998 survey (0.69 yr -1 ) was considered exceptionally high and was<br />

<strong>the</strong>refore not used in fur<strong>the</strong>r analysis. An average <strong>of</strong> <strong>the</strong> remaining Z estimates was used as a first approximation <strong>of</strong><br />

Z in Area A. Z was estimated to be 0.54yr-1. The resultant Fishing mortality rate was <strong>the</strong>refore 0.34 on fish older<br />

than 4 years. Estimates for gear specific fishing mortality and selectivity are shown in Table 1.


Ln (n/dt)<br />

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Lake Malawi Fisheries Management Symposium - Proceedings<br />

(a) Dec 95<br />

Z = 0.51<br />

R2 (b) Jan 97<br />

y = 0.58<br />

R<br />

7<br />

= 0.80<br />

6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

0<br />

0 2 4 6 8 10<br />

Age (yrs)<br />

2 (c) Jan 98<br />

= 0.91<br />

6<br />

Z = 0.69<br />

5<br />

R<br />

4<br />

3<br />

2<br />

1<br />

0<br />

0 2 4 6 8 10<br />

Age (yrs)<br />

2 6<br />

5<br />

= 0.92<br />

4<br />

3<br />

2<br />

1<br />

0<br />

0 2 4 6 8 10<br />

Age (yrs)<br />

(d) Jun 99<br />

Z = -0.52<br />

R2 (e) Jan 00<br />

Z = 0.55<br />

6<br />

= 0.78<br />

R<br />

5<br />

4<br />

3<br />

2<br />

1<br />

0<br />

0 2 4 6 8 10<br />

Age (yrs)<br />

2 7<br />

= 0.82<br />

6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

0<br />

0 2 4 6 8 10<br />

Age (yrs)<br />

Ln (n/dt)<br />

Figure 3. Length converted catch curves for Oreochromis spp. derived from trawl net length frequency<br />

distributions in Area A <strong>of</strong> <strong>the</strong> sou<strong>the</strong>ast Arm <strong>of</strong> Lake Malawi from December 1995 to January 2000.<br />

Yield- and spawner biomass-per-recruit as a function <strong>of</strong> fishing mortality are presented in Figure 3. Current fishing<br />

mortality (Fcur) was below <strong>the</strong> Fmax TRP (0.54yr -1 ) but it was higher than <strong>the</strong> more conservative F0.1 TRP (F0.1 = 0.32<br />

yr -1 ). At Fcur, <strong>the</strong> chambo spawner biomass was reduced to 37% <strong>of</strong> pristene levels (Figure 1). At Fmax SBR would<br />

be reduced to 25% <strong>of</strong> pristene levels. The FSB40 strategy approximated <strong>the</strong> F0.1 TRP.<br />

YPR<br />

80<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

Ln (n/dt)<br />

Ln (n/dt)<br />

F SB50<br />

F 0.1<br />

F SB40<br />

F cur<br />

F max<br />

0<br />

0<br />

0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7<br />

F<br />

Figure 4. Yield-per-recruit (YPR, closed circles) and spawner biomass-per-recruit (SBR; open circles) as<br />

a response to fishing mortality (F) for Oreochromis ‘Nyasalapia’ spp. In Area A <strong>of</strong> <strong>the</strong> SEA <strong>of</strong> Lake<br />

Malawi. Common target reference points are shown.<br />

Ln (n/dt)<br />

600<br />

500<br />

400<br />

300<br />

200<br />

100<br />

SBR


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

Using <strong>the</strong> multi-fishery per-recruit models it was possible to assess <strong>the</strong> response <strong>of</strong> chambo SBR to different<br />

combinations <strong>of</strong> F in <strong>the</strong> <strong>fisheries</strong>. Various <strong>management</strong> options were explored and resultant effort at <strong>the</strong> FSB40 and<br />

FSB50 TRP are shown in Table 2. Effort limitations to below current levels were necessary to attain <strong>the</strong> FSB40 and<br />

FSB50 TRP in all scenarios investigated. With all <strong>fisheries</strong> active, 10% reduction in F was necessary to obtain and<br />

FSB40 TRP and a 23% reduction was neccesary to obtain an FSB50 TRP. The closure <strong>of</strong> <strong>the</strong> 2 inch gill net fishery or<br />

<strong>the</strong> nkacha net and kambuzi seine fishery only resulted in marginal increases in <strong>the</strong> allowable effort at FSB40 and<br />

FSB40 TRP. In all scenarios that maintained <strong>the</strong> chilimira/kauni fishery at current effort levels an FSB50 TRP was not<br />

attainable and <strong>the</strong> FSB40 TRP was only attainable with large effort reductions in all o<strong>the</strong>r <strong>fisheries</strong>.<br />

Table 2. Allowable effort levels at different <strong>management</strong> scenarios maintaining FSB40 and FSB50 TRPs with<br />

proportional increase in effort in all <strong>fisheries</strong>.(GN2 = 2inch gill net, GN3 = 3inch + gill net, NK = Nkacha<br />

net, KS = Kambuzi seine, CH = Chilimira/Kauni, CS = Chambo seines, PT = Pair trawl fishery.<br />

Management strategy<br />

Current Fishery<br />

All <strong>fisheries</strong> active<br />

Ban <strong>of</strong> NK + KS<br />

Number <strong>of</strong> gears<br />

F GN2 GN3 CH PT KS+NK CS<br />

0.34 75 343 119 2 39 18<br />

FSB50 0.22 49 222 77 1 25 12<br />

FSB40 0.31 68 313 109 2 36 16<br />

FSB50 0.23 50 229 79 1 - 12<br />

FSB40 0.32 70 319 111 2 - 17<br />

Ban <strong>of</strong> GN2<br />

FSB50 0.22 - 225 78 1 25 12<br />

FSB40 0.32 - 313 109 2 36 16<br />

Ban on Pair Trawl FSB50 0.23 56 232 80 - 26 12<br />

FSB40 0.32 78 323 112 - 37 17<br />

Ban on all seines<br />

FSB50 0.24 54 245 85 1 - -<br />

FSB40 0.34 76 346 120 2 - -<br />

CH maintained at current levels<br />

CH + CS maintained at current levels + ban on NK +<br />

KS<br />

KS + NK banned and all o<strong>the</strong>r <strong>fisheries</strong> except CH<br />

maintained at current levels<br />

FSB50<br />

Not attainable<br />

FSB40 0.16 35 162 119 1 18 8<br />

FSB50<br />

Not attainable<br />

FSB40 0.01 1 6 119 2 - 18<br />

FSB50 0.20 75 343 69 2 - 18<br />

FSB40 0.31 75 343 108 2 - 18<br />

Discussion<br />

Current exploitation rates for chambo in Area A lie between <strong>the</strong> F0.1 and Fmax TRP levels and corresponds to an SBR<br />

reduction to 37% <strong>of</strong> pristene levels (Figure 2). The declining chambo catch in <strong>the</strong> SEA <strong>of</strong> Lake Malawi over <strong>the</strong><br />

past 10 years (FRU unpublished catch statistics, Weyl 1999, Bulirani et al. 1999) imply that this level <strong>of</strong> SBR is too<br />

low to sustain <strong>the</strong> chambo stock. This may, in part, be a consequence <strong>of</strong> <strong>the</strong> reproductive behaviour <strong>of</strong> chambo.<br />

Oreochromis spp. are mouthbrooders which brood <strong>the</strong>ir eggs and young for extended periods (Trewawas 1983). For<br />

this reason <strong>the</strong> recruitment <strong>of</strong> chambo is likely to be highly dependent on <strong>the</strong> density <strong>of</strong> adult fish and chambo<br />

directed <strong>management</strong> should focuss on <strong>the</strong> maintenance <strong>of</strong> <strong>the</strong> SBR at FSB40 or even FSB50 levels. Management at<br />

<strong>the</strong>se TRPs would require a decrease in 10% in F to attain <strong>the</strong> FSB40 and a 23% reduction in F to attain <strong>the</strong> FSB50.<br />

The declinning catch rates for chambo indicate that current <strong>management</strong> strategies (GOM 2000) have not adequately<br />

protected chambo and have failed at <strong>the</strong> maintenance <strong>of</strong> sustainable yields. For this reson it is believed that <strong>the</strong><br />

closed season is an inadequate measure to sustain catches in this fishery. While <strong>the</strong> use <strong>of</strong> small meshed seines and<br />

nkacha nets is already banned in <strong>the</strong> SEA, it is evident that <strong>the</strong>ir use is continued in <strong>the</strong> SEA Arm (pers obs).<br />

However, due to <strong>the</strong> low contribution <strong>of</strong> <strong>the</strong>se gears to <strong>the</strong> total chambo catch, <strong>the</strong> removal <strong>of</strong> <strong>the</strong>se gears from <strong>the</strong><br />

fishery only had a marginal effect on chambo YPR and SBR. However, it has been noted that in addition to<br />

catching predominantly juvenile chambo (Manase 2001, FAO 1993), nkacha nets and beach seines cause


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considerable habitat damage by scouring <strong>the</strong> <strong>lake</strong> bottom and <strong>the</strong> destroying weedbeds (Tweddle et al. 1994) and is<br />

recommended that <strong>the</strong>se gears remain prohibited in <strong>the</strong> SEA. The removal <strong>of</strong> gill nets with mesh sizes <strong>of</strong> less than 2<br />

inches from <strong>the</strong> fishery would also only have a marginal effect on YPR and SBR <strong>of</strong> chambo. This is a result <strong>of</strong> this<br />

gear not actively targeting chambo (Sipawe 2001). Management <strong>the</strong>refore needs to foccuss on effort reductions in<br />

all chambo harvesting <strong>fisheries</strong> ra<strong>the</strong>r than on <strong>the</strong> removal <strong>of</strong> a few highly destructive fishing gears.<br />

An isopleth diagram showing <strong>the</strong> response <strong>of</strong> SBR to increasing effort in <strong>the</strong> number <strong>of</strong> chilimira/kauni nets and gill<br />

nets (with nkacha and kambuzi seines removed from <strong>the</strong> fishery and chambo seine and commercial effort set at<br />

current levels) in Area A are presented in Figure 3. Essentially this isopleth shows that <strong>the</strong> number <strong>of</strong> allowable gill<br />

nets is dependent on <strong>the</strong> number <strong>of</strong> chilimira nets and vice versa. If FSB50 TRP was to be maintained, <strong>the</strong>n any<br />

combination <strong>of</strong> <strong>the</strong> two gears following <strong>the</strong> FSB50 contour would be appropriate. At FSB40, slightly higher effort<br />

levels would be feasible. While <strong>the</strong> removal <strong>of</strong> <strong>the</strong> <strong>the</strong> kauni fishery would allow for well over 3000 gill nets in<br />

Area A, a total ban <strong>of</strong> kauni may not be feasible. The chilimira net is an important gear for <strong>the</strong> harvest <strong>of</strong> species<br />

o<strong>the</strong>r than chambo and a closure <strong>of</strong> this fishery would reduce landings <strong>of</strong> non-chambo species by an estimated 1500<br />

tons (FRU catch statistics). In addition, consideration must be given to <strong>the</strong> current employment <strong>of</strong> over 1000 fishers<br />

in this fishery in Area A. It is <strong>the</strong>refore recommended that an acceptable effort balance between <strong>the</strong> chilimira/kauni<br />

and o<strong>the</strong>r <strong>fisheries</strong> be considered ra<strong>the</strong>r than a a total closure.<br />

Number <strong>of</strong> Gill nets<br />

5000<br />

4000<br />

3000<br />

2000<br />

1000<br />

50<br />

40<br />

60<br />

30<br />

40<br />

30<br />

20<br />

70<br />

80<br />

50<br />

30<br />

20<br />

0<br />

0 60 120 180 240 300<br />

Number <strong>of</strong> Chilimira nets<br />

Figure 5. Isopleth diagram showing chambo spawner-biomass-per-recruit as a proportion <strong>of</strong> pristine<br />

levels for different combinations <strong>of</strong> effort in <strong>the</strong> gill net and chilimira/kauni <strong>fisheries</strong> in Area A <strong>of</strong> <strong>the</strong> SEA <strong>of</strong><br />

Lake Malawi.<br />

An example <strong>of</strong> different <strong>management</strong> options maintaining an FSB40 TRP, with a limit <strong>of</strong> 90 chilimira/kauni units is<br />

shown in Table 3. With <strong>the</strong> ban <strong>of</strong> nkacha and kambuzi seines and all o<strong>the</strong>r current <strong>fisheries</strong> active at 1999 levels,<br />

<strong>the</strong> reduction <strong>of</strong> <strong>the</strong> chilimira/kauni fishery to 90 gears would allow for 1100 gill net licences in “Area A’. At this<br />

level a total <strong>of</strong> 1400 people could be employed and a total yield <strong>of</strong> 2800 tons could be attained (assuming no change<br />

in catch rate for species o<strong>the</strong>r than chambo). If all commercial licences were activated, (a total <strong>of</strong> 4 pair trawlers),<br />

only 900 gill net licences could be sold, employment would decrease to about 1300 fishers, but production would<br />

increase to 3600 tons. The closure <strong>of</strong> chambo seines would allow for an increase in <strong>the</strong> number <strong>of</strong> gill nets, but only<br />

1200 fishers would be employed in <strong>the</strong> small scale sector and <strong>the</strong> yield would be arround 3300 tons. The closure <strong>of</strong><br />

<strong>the</strong> commercial sector in area A would increase allowable gill nets to 1600, allow for 1600 fishers to be employed<br />

and a yield <strong>of</strong> 2600 tons.<br />

It is evident that <strong>the</strong> <strong>management</strong> <strong>of</strong> <strong>the</strong> chambo stocks in Area A will have costs. None <strong>of</strong> <strong>the</strong> suggested strategies<br />

would be able to employ all 1900 fishers currently employed in <strong>the</strong> fishery. A maximisation <strong>of</strong> employment in <strong>the</strong><br />

small scale sector would decrease potential landings <strong>of</strong> species o<strong>the</strong>r than chambo. Alternatively, maximisation <strong>of</strong><br />

20


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landings through commercialisation would decrease potential employment. A <strong>management</strong> strategy for chambo in<br />

Area A <strong>the</strong>refore needs to take into account both socio-economic as well as biological constraints.<br />

Table 3. Estimated number <strong>of</strong> gill net units, employment and total annual yield for all species in Area A <strong>of</strong><br />

<strong>the</strong> SEA <strong>of</strong> Lake Malawi at different <strong>management</strong> scenarios maintaining an FSB40 TRP for Chambo,<br />

when Chilimira/Kauni effort is limited to 90 gears.<br />

All possible<br />

Closure <strong>of</strong> <strong>the</strong><br />

All <strong>fisheries</strong> Active commercial licences Closure <strong>of</strong> all seines commercial fishery<br />

Number <strong>of</strong> gill nets < 1100 gill nets


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

Pauly, D. 1980. On <strong>the</strong> interrelationship between natural mortality, growth parameters and mean environmental temperature in<br />

175 stocks <strong>of</strong> fish. J. Cons. Int. Explor. Mer, 39: 175-192.<br />

Pauly, D. 1983. Length-converted catch curves: a powerful tool for <strong>fisheries</strong> research in <strong>the</strong> tropics. ICLARM, Fishbyte 1(2): 9-<br />

13.<br />

Pauly, D. 1984a. Length-converted catch curves. A powerful tool for <strong>fisheries</strong> research in <strong>the</strong> tropics. ICLARM. Fishbyte 2(1):<br />

17-19.<br />

Pauly, D. 1984b. Length-converted catch curves. A powerful tool for <strong>fisheries</strong> research in <strong>the</strong> tropics (conclusion). ICLARM,<br />

Fishbyte 2(3): 9-10.<br />

Pikitch, E.K. 1987. Use <strong>of</strong> a mixed-species yield-per-recruit model to explore <strong>the</strong> consequences <strong>of</strong> various <strong>management</strong> policies<br />

for <strong>the</strong> Oregon flatfish fishery. Can. J. Fish. Aquat. Sci. 44: 349-359.<br />

Punt, A.E. 1993. The use <strong>of</strong> spawner-biomass-per-recruit in <strong>the</strong> <strong>management</strong> <strong>of</strong> line<strong>fisheries</strong>. Special Publication <strong>of</strong> <strong>the</strong><br />

Oceanographic Research Institute, Durban, 2: 80-89.<br />

Seisay M.D.B., van Zalinge N.P & Turner G.F., 1992. Population Dynamics and stock estimates <strong>of</strong> Chambo (Oreochromis spp.)<br />

in <strong>the</strong> south east arm <strong>of</strong> Lake Malawi and <strong>lake</strong> Malombe-Length based approach. FI:DP/MLW/86/013. Field Document<br />

19. 34p.<br />

Shepherd, J.G. 1982. A versatile new stock-recruitment relationship for <strong>fisheries</strong>, and <strong>the</strong> construction <strong>of</strong> sustainable yield curves.<br />

J. Cons. Int. Explor. Mer, 40: 67-75.<br />

Sipawe, R.D. 2001. Gear and species selectivity <strong>of</strong> <strong>the</strong> gill net fishery in Lake Malawi. pp 133 –141, In: Weyl, O.L.F. & Weyl,<br />

M.V. (eds) Lake Malawi Fisheries Management Symposium – Proceedings. 4 th – 9 th June 2001. NARMAP, Department<br />

<strong>of</strong> Fisheries, Malawi. 248 pp.<br />

Sissenwine, M.P. & Shepherd, J.G. 1987. An alternative perspective on recruitment overfishing and biological reference points.<br />

Can. J. Fish. Aquat. Sci. 44: 913-918.<br />

Smale, M.J., & Punt, A.E. 1991. Age and growth <strong>of</strong> <strong>the</strong> red steenbras Petrus rupestris (Pisces Sparidae) on <strong>the</strong> sou<strong>the</strong>ast coast <strong>of</strong><br />

South Africa. S. Afr. J. Mar. Sci. 9: 249-259.<br />

Trewawas, E. 1983. Tilapiine Fishes <strong>of</strong> <strong>the</strong> genera Saro<strong>the</strong>rodon, Oreochromis and Danakila. British Museum (Natural History)<br />

Publication No. 878. 583pp.<br />

Tweddle, D., Alimoso, S.B. & Sodzapanja, G. 1994a. Analysis <strong>of</strong> catch and effort data for <strong>the</strong> <strong>fisheries</strong> <strong>of</strong> <strong>the</strong> South East Arm <strong>of</strong><br />

Lake Malawi 1976-1989. Government <strong>of</strong> Malawi, Fisheries Department Bulletin No. 13.<br />

Weyl, O.L.F. 1998, The dynamics <strong>of</strong> a sub-tropical <strong>lake</strong> fishery in central Mozambique. PhD Thesis, Rhodes University, 202p.<br />

Weyl, O.L.F. 2001. Area <strong>management</strong> (area <strong>management</strong> committees) as a concept for PFM implementation – Discussion Paper.<br />

Appendix I(g), In: National Aquatic Resource Management Programme (NARMAP), Report on <strong>the</strong> participatory<br />

Fisheries Management programme (PFMP) strategy review workshiop. Sun ‘n’ Sand Holiday Resort, Mangochi, 30<br />

January – 1 February, 2001.<br />

Weyl, O.L.F., Banda, M., Sodzqabanja, G., Mwenekibombwe, L.H., Namoto, W. & Mponda, O.C. 2000. Annual Frame Survey,<br />

September 1999. Government <strong>of</strong> Malawi, Fisheries Bulletin No. 42.


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The nkacha fishery in Lake Malombe and <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi<br />

M<strong>of</strong>fat M. Manase<br />

Malawi Fisheries Research Unit, PO Box 27, Monkey-Bay, MALAWI.Tel. +265 587 440/ 432. Email: fru@<strong>malawi</strong>.net.<br />

Abstract<br />

The nkacha net is an open water seine with a uniform mesh size ranging from 6 to 25 mm and is rectangular in shape. It is a main<br />

fishing gear <strong>of</strong> <strong>the</strong> small-scale fishery in Lake Malombe but is prohibited in Lake Malawi. However, this gear is used illegally in <strong>the</strong><br />

sou<strong>the</strong>ast arm <strong>of</strong> <strong>the</strong> <strong>lake</strong> since <strong>the</strong> mid 1990s. This study compares catch and effort data as well as <strong>the</strong> catch composition <strong>of</strong> <strong>the</strong> <strong>of</strong><br />

<strong>the</strong> nkacha net fishery for Lake Malombe and <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi. Higher catch per unit effort (CPUE) in <strong>the</strong><br />

sou<strong>the</strong>ast arm as opposed to Lake Malombe might be <strong>the</strong> primary drive for this gear’s usage in Lake Malawi. Species size-classes<br />

caught in <strong>the</strong> sou<strong>the</strong>ast arm were considerably larger than <strong>of</strong> those species constituting catches from Lake Malombe. This suggests<br />

that catches from <strong>the</strong> sou<strong>the</strong>ast arm fetched higher market prices than Lake Malombe catches. Considering <strong>the</strong> impact <strong>of</strong> <strong>the</strong><br />

nkacha net with regard to growth over-fishing and habitat degradation, <strong>management</strong> recommendations are <strong>the</strong>refore made for this<br />

fishery.<br />

Introduction<br />

Lake Malombe has a maximum length <strong>of</strong> 29 km and a maximum width <strong>of</strong> 17 km with a maximum depth <strong>of</strong> 17 m<br />

and a surface area <strong>of</strong> about 390 km 2 (FAO, 1993). The <strong>lake</strong> is about 16 km from Lake Malawi through <strong>the</strong> Upper<br />

Shire River, and this makes it easier for fishers to migrate between Lake Malombe and <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> Lake<br />

Malawi (Figure 1).<br />

In <strong>the</strong> 1980s, <strong>the</strong> more valued chambo fishery (Oreochromis spp.) in Lake Malombe was reported to be in a state <strong>of</strong><br />

collapse and that <strong>the</strong> fishery was eventually replaced by a fishery for <strong>the</strong> less valued haplichromine cichlid species<br />

called kambuzi using open water seines called nkacha nets. Mesh size for this gear is uniform ranging from 6 mm to<br />

25 mm across <strong>the</strong> net panel. The nkacha net is operated by small-scale <strong>fisheries</strong> in Lake Malombe using small plank<br />

boats and dug out canoes. The operation <strong>of</strong> this gear does not involve use <strong>of</strong> light during night fishing. Recent<br />

studies on Lake Malombe indicate that this kambuzi fishery is also in a declining state (Banda & Hara 1994, Weyl<br />

1999, Weyl et al. 2001).<br />

Though nkacha gear is legal only in Lake Malombe, <strong>the</strong>re has been unprecedented increase in <strong>the</strong> use <strong>of</strong> this gear in<br />

Lake Malawi since <strong>the</strong> mid 1990s, particularly in <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> <strong>the</strong> <strong>lake</strong>. Operation <strong>of</strong> this gear in Lake<br />

Malawi is prohibited on account that <strong>the</strong> gear destroys nursery grounds for some important fish stocks, including <strong>the</strong><br />

chambo (Banda & Hara 1994). As such, this gear is likely to compromise <strong>the</strong> economic value <strong>of</strong> <strong>the</strong> <strong>fisheries</strong> <strong>of</strong><br />

Lake Malawi. The purpose <strong>of</strong> this study was to describe and compare <strong>the</strong> nkacha net fishery in Lake Malombe with<br />

that <strong>of</strong> <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi in reference to catch rates, catch value, species and size composition. This<br />

study will aid in <strong>the</strong> development <strong>of</strong> appropriate <strong>management</strong> interventions that will go a long way towards<br />

safeguarding <strong>the</strong> existing high valued fish stocks <strong>of</strong> Lake Malawi.<br />

Materials and methods<br />

Data from research surveys undertaken by <strong>the</strong> Fisheries Research Unit <strong>of</strong> <strong>the</strong> Fisheries Department on Lake<br />

Malombe and <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi were used. On each sampling day, gears were described by type,<br />

mesh size, gear length and mode <strong>of</strong> operation. Catch samples were selected at random and every fish in each sample<br />

was sorted to species level. Each species group was weighed and each fish in <strong>the</strong> sample was measured for total<br />

length (TL) to <strong>the</strong> nearest millimetre. Catch and effort data collected during routine monitoring surveys by <strong>the</strong><br />

Department <strong>of</strong> Fisheries for Lake Malombe and sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi for <strong>the</strong> period 1994-1999 were also<br />

used in this study to compare catch rates and catch value for <strong>the</strong>se water bodies. Methods used in <strong>the</strong> collection <strong>of</strong><br />

catch and fishing effort data from <strong>the</strong> traditional <strong>fisheries</strong> <strong>of</strong> Malawi followed <strong>the</strong> Malawi Traditional Fisheries<br />

(MTF) system described by FAO (1993).<br />

Results and discussion<br />

Ownership <strong>of</strong> nkacha gear is shown in Figure 2. The nkacha net fishery started booming up around 1993 in <strong>the</strong><br />

sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi and registered a high level <strong>of</strong> some 70 gears in 1999. This showed a sharp contrast<br />

with <strong>the</strong> situation <strong>of</strong> Lake Malombe where ownership <strong>of</strong> nkacha nets started decreasing from a high level <strong>of</strong> over<br />

300 gears in 1995 to a level <strong>of</strong> 164 in 1999. This suggests some driving force that has been attracting nkacha gear<br />

owners to operate in Lake Malawi apart from Lake Malombe where <strong>the</strong> gear is recommended.


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The species composition for <strong>the</strong> nkacha fishery in Lake Malombe is not distinct from <strong>the</strong> species composition <strong>of</strong> <strong>the</strong><br />

nkacha fishery <strong>of</strong> <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi. Catch composition <strong>of</strong> <strong>the</strong> nkacha fishery in Lake Malombe as<br />

well as <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi has been predominantly kambuzi species. The main species for nkacha<br />

fishery in Lake Malombe and <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi include species belonging mainly to <strong>the</strong> genera<br />

Copadichromis, Lethrinops and Otopharynx (Figure 2).<br />

Figure 1. Map <strong>of</strong> <strong>the</strong> study area.<br />

No. <strong>of</strong> gears<br />

No. <strong>of</strong> gears<br />

80<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

400<br />

300<br />

200<br />

100<br />

0<br />

93 94 95 96 97 98 99<br />

malombe<br />

93 94 95 96 97 98 99<br />

Figure 2. Ownership <strong>of</strong> nkacha nets in Lakes Malawi (sou<strong>the</strong>ast arm) and Malombe, 1993-1999.<br />

Year<br />

sou<strong>the</strong>ast arm<br />

Catch per unit <strong>of</strong> effort (CPUE) for nkacha net fishery in <strong>the</strong> sou<strong>the</strong>ast arm was significantly higher than that <strong>of</strong><br />

Lake Malombe between 1995 and 1997 (Figure 3). The highest CPUE <strong>of</strong> 140 kg per trip was attained in sou<strong>the</strong>ast<br />

arm nkacha net fishery in 1996. Relating <strong>the</strong> CPUE levels with catch value, catches from <strong>the</strong> sou<strong>the</strong>ast arm have<br />

been registering consistently high value. In 1999, <strong>the</strong> value <strong>of</strong> <strong>the</strong> catch reached a level <strong>of</strong> MK 1,400.00 per fishing<br />

trip whereas catch value from Lake Malombe was MK 1,175.00 per trip in <strong>the</strong> same year. This indicates that <strong>the</strong><br />

high catch rates in <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi from 1995 might have attracted nkacha gear owners from Lake


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Malombe. These nkacha net operators have not withdrawn from sou<strong>the</strong>ast arm, despite high CPUE levels from 1997<br />

in Lake Malombe, due to low economic value <strong>of</strong> <strong>the</strong> harvested species in Lake Malombe (Table 1).<br />

a b<br />

Otopharynx<br />

agyrosoma<br />

7%<br />

O<strong>the</strong>rs<br />

26%<br />

Copadichromis<br />

virginalis<br />

11%<br />

Otopharynx<br />

tetrastigma<br />

16%<br />

Lethrinops<br />

'pinkhead'<br />

23%<br />

Copadichromis<br />

chrysonotus<br />

17%<br />

Bagrus meridionalis<br />

6%<br />

Ramphocromis spp<br />

6%<br />

Pseudotropheus<br />

20%<br />

Otopharynx<br />

argyrosoma<br />

10%<br />

Oreochromis spp<br />

9%<br />

Lethrinops<br />

'pinkhead'<br />

6%<br />

Figure 3. species catch composition for nkacha nets in a) Lake Malombe and b) <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong><br />

Lake Malawi.<br />

Table 1. Mean beach price ± 95% confidence interval for kambuzi at landing sites at Lake Malombe and<br />

<strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi<br />

Lake Malombe Lake Malawi<br />

Year Mean<br />

(MK/kg)<br />

std n<br />

Mean<br />

(MK/kg)<br />

std n<br />

1994 1.16 1.04 1466 1.98 0.97 958<br />

1995 4.45 2.48 1590 4.62 2.60 782<br />

1996 4.23 1.43 928 4.92 1.88 309<br />

1997 4.87 1.70 652 5.42 2.02 442<br />

1998 5.86 2.99 877 11.49 3.96 379<br />

1999 9.00 4.11 1537 16.33 8.78 583<br />

Copadichromis<br />

virginalis<br />

43%<br />

O<strong>the</strong>r than catch rates, it appears that length frequency distributions <strong>of</strong> species could also be playing an attractive<br />

role for nkacha netters in Lake Malawi since <strong>the</strong> value <strong>of</strong> <strong>the</strong> harvested species is related to size <strong>of</strong> fish <strong>of</strong>fered for<br />

sale at <strong>the</strong> markets.<br />

For Copadichromis virginalis (utaka), most <strong>of</strong> <strong>the</strong> fish harvested from Lake Malombe were <strong>of</strong> 65 mm TL whereas<br />

those from <strong>the</strong> sou<strong>the</strong>ast arm registered 110 mm TL (Figure 5). On <strong>the</strong> o<strong>the</strong>r hand, Otopharynx argyrosoma, ano<strong>the</strong>r<br />

Kambuzi species, registered 60 mm TL in <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi compared to 65 mm TL from Lake<br />

Malombe and a good number <strong>of</strong> fish sampled in sou<strong>the</strong>ast arm registered over 80 mm TL (Figure 6). In overall<br />

terms, mean lengths for Otopharynx argyrosoma were 69 mm TL and 64 mm TL in sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi<br />

and Lake Malombe respectively (Table 2). As for Lethrinops ‘pinkhead’ (Figure 7), <strong>the</strong> catches from sou<strong>the</strong>ast arm<br />

registered 90 mm TL whereas those from Lake Malombe registered 60 mm TL. Interestingly, a relatively high<br />

proportion <strong>of</strong> <strong>the</strong> catch from nkacha net fishery operating in <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi constituted chambo<br />

(Table 1). Although chambo registered only 9% <strong>of</strong> this gear’s total catch, <strong>the</strong> situation is more threatening<br />

considering <strong>the</strong> fact that small sized individuals <strong>of</strong> chambo, locally known as kasawala, were targeted (Figure 8).


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Figure 4. Nkacha net (A) catch per unit effort ± 95 % confidence intervals and (B) Mean catch value in<br />

Malawi Kwacha in Lake Malombe and <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi from 1994 to 1999.<br />

Frequency<br />

CPUE (Kg per trip)<br />

Catch Value (MK/trip)<br />

Frequency<br />

140<br />

120<br />

100<br />

300<br />

250<br />

200<br />

150<br />

100<br />

50<br />

200<br />

150<br />

100<br />

80<br />

60<br />

40<br />

20<br />

0<br />

50<br />

0<br />

0<br />

1500<br />

1250<br />

1000<br />

750<br />

500<br />

250<br />

0<br />

20<br />

20<br />

(A)<br />

(B)<br />

40<br />

40<br />

Figure 5. Length frequency distribution <strong>of</strong> Copadichromis virginalis (Utaka)<br />

60<br />

60<br />

80<br />

80<br />

100<br />

100<br />

Year<br />

120<br />

120<br />

Length mm TL<br />

Lake Malombe<br />

Sou<strong>the</strong>ast arm<br />

94 95 96 97 98 99<br />

sou<strong>the</strong>ast arm<br />

140<br />

malombe<br />

140<br />

160<br />

160<br />

180<br />

180<br />

200<br />

200


Frequency<br />

Frequency<br />

Figure 6. Length frequency distributions <strong>of</strong> Otopharynx argyrosoma (Kambuzi)<br />

35<br />

30<br />

25<br />

20<br />

15<br />

10<br />

5<br />

0<br />

sou<strong>the</strong>ast arm<br />

30 50 70 90 110 130 150 170<br />

1000<br />

Frequency<br />

Frequency<br />

120<br />

100<br />

80<br />

60<br />

40<br />

20<br />

0<br />

600<br />

500<br />

400<br />

300<br />

200<br />

100<br />

0<br />

800<br />

600<br />

400<br />

200<br />

0<br />

20<br />

20<br />

40<br />

40<br />

malombe<br />

30 50 70 90 110 130 150 170 190<br />

Length mm TL<br />

Figure 7. Length frequency distributions <strong>of</strong> Lethrinops ‘pinkhead’ (Kambuzi).<br />

60<br />

60<br />

80<br />

80<br />

100<br />

100<br />

120<br />

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Lake Malawi Fisheries Management Symposium - Proceedings<br />

sou<strong>the</strong>ast arm<br />

140<br />

malombe<br />

120<br />

Length mm TL<br />

140<br />

160<br />

160<br />

180<br />

180<br />

200<br />

200


Frequency<br />

20<br />

15<br />

10<br />

5<br />

0<br />

20<br />

40<br />

60<br />

80<br />

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Figure 8: size distribution for juvenile Oreochromis sp. caught in <strong>the</strong> sou<strong>the</strong>ast arm<br />

100<br />

120<br />

Length mm TL<br />

sou<strong>the</strong>ast arm<br />

According to breeding studies done on chambo in <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi, length at maturity for this<br />

species is 200 mm TL (Palsson et al. 1999), and this was not reflected in <strong>the</strong> individuals <strong>of</strong> chambo caught by <strong>the</strong><br />

nkacha net fishery. Most <strong>of</strong> <strong>the</strong> species registered 110 mm TL at capture, with a length range <strong>of</strong> 40 to 145 mm TL<br />

(Figure 8). This indicates that <strong>the</strong> nkacha net fishery was targeting immature fish in this area. Chambo, being one <strong>of</strong><br />

<strong>the</strong> threatened fish species in Malawi, <strong>the</strong>refore deserves appropriate exploitation regimes that would seek<br />

sustainable harvesting <strong>of</strong> this important fishery (Alimoso, 1987).<br />

Table 2. Mean length TL mm, 95% confidence interval for <strong>the</strong> species caught in sou<strong>the</strong>ast arm <strong>of</strong> Lake<br />

Malawi and from Lake Malombe.<br />

Species Lake Malawi Lake Malombe<br />

mean 95%CI n mean 95%CI n<br />

Copadichromis virginalis 96.18 1.27 1012 70.82 0.83 1260<br />

Otopharynx argyrosoma 69.42 1.31 782 64.70 0.52 2971<br />

Lethrinops 'pinkhead' 89.84 3.53 125 67.76 0.82 2761<br />

Oreochromis spp. 96.06 4.66 107 NA NA NA<br />

Size distributions for target species <strong>of</strong> nkacha in <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi were generally larger that those<br />

<strong>of</strong> Lake Malombe (Table 2). This implies that <strong>the</strong> market value <strong>of</strong> fish from Lake Malawi was superior to those <strong>of</strong><br />

Lake Malombe. Based on this scenario, it appears market forces are among <strong>the</strong> main factors that relate to <strong>the</strong><br />

continued existence <strong>of</strong> nkacha net fishery in <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi although this gear is illegal in this<br />

area. This could be supported by <strong>the</strong> fact that small-scale fishers are increasingly becoming business-orientated in<br />

nature o<strong>the</strong>r than subsisting on <strong>the</strong>ir fishing operations (Turner and Mdaihli, 1992).<br />

It is also vital to consider that managing <strong>the</strong> nkacha fishery in Malawi has a considerable level <strong>of</strong> difficulty in <strong>the</strong><br />

sense that it is legal to operate nkacha gear in Lake Malombe but illegal to operate in Lake Malawi, a nearby water<br />

body. Such types <strong>of</strong> regulations are complex bearing in mind <strong>the</strong> many attributes that one would expect to be<br />

accomplished by <strong>the</strong> <strong>fisheries</strong> enforcement section <strong>of</strong> <strong>the</strong> Department <strong>of</strong> Fisheries.<br />

Fur<strong>the</strong>rmore, <strong>the</strong> nkacha net fishery promotes loss <strong>of</strong> nesting habitat for sand nesting cichlids due to scouring effect<br />

<strong>of</strong> <strong>the</strong> gear (Banda and Hara, 1994). The problems <strong>of</strong> <strong>the</strong> nkacha net fishery will eventually lead to loss <strong>of</strong><br />

biodiversity <strong>of</strong> Lake Malawi’s fish fauna and flora if proper <strong>management</strong> interventions are not put in place and<br />

followed. Against this background, <strong>management</strong> options for nkacha net fishery would include complete withdrawal<br />

<strong>of</strong> all nkacha netters and all small-meshed seine nets from Lake Malawi. Fur<strong>the</strong>rmore, a review <strong>of</strong> all existing<br />

<strong>fisheries</strong> regulations seems pertinent with regard to conflicting interests among stakeholders <strong>of</strong> <strong>the</strong> <strong>fisheries</strong><br />

resources <strong>of</strong> Malawi.<br />

There is adequate evidence that migration <strong>of</strong> nkacha netters does occur between Lake Malombe and <strong>the</strong> sou<strong>the</strong>ast<br />

arm <strong>of</strong> Lake Malawi due to <strong>the</strong>ir close proximity to each o<strong>the</strong>r. This scenario can also be attributed to a lack <strong>of</strong><br />

effective enforcement <strong>of</strong> <strong>fisheries</strong> regulations and <strong>the</strong>refore calls for multi-sectoral collaboration in <strong>the</strong> <strong>management</strong><br />

<strong>of</strong> <strong>fisheries</strong> resources <strong>of</strong> Malawi.<br />

140<br />

160<br />

180<br />

200


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Acknowledgements<br />

The author extends gratitude to <strong>the</strong> following sponsors- GTZ assisted National Aquatic Resource Management<br />

Programme (NARMAP), Icelandic International Development Agency (ICEIDA) and Fisheries Research Fund<br />

(FRF) for financing target oriented research surveys that yielded <strong>the</strong> data used in this report. Special regards also<br />

extend to fellow researchers at Monkey-Bay Fisheries Research Station for <strong>the</strong>ir valuable criticisms as well as pro<strong>of</strong><br />

reading <strong>of</strong> <strong>the</strong> manuscript. Special thank you goes to Dr Olaf Weyl, NARMAP Research Adviser, for fruitful<br />

contributions.<br />

References<br />

Alimoso SB, 1987 An Assessment <strong>of</strong> <strong>the</strong> effects <strong>of</strong> traditional fishing on Chambo (Oreochromis spp.) in Lake<br />

Malombe. LUSO: J.Sci. Techn. (Malawi) (1987) 8 (1&2) :1-10.<br />

Alimoso SB and Tweddle D, 1994 Seine net <strong>fisheries</strong> <strong>of</strong> Lake Malombe. Traditional Fisheries Assessment Project<br />

Working Paper TFAP/1.<br />

Banda MC and Hara MM, 1994 Seine nets and habitat degradation: How <strong>the</strong>y have caused collapse <strong>of</strong> <strong>the</strong> Chambo<br />

(Oreochromis spp.) fishery <strong>of</strong> Lake Malombe and <strong>the</strong> Upper Shire.<br />

Bazigos GP, 1972 The Improvement <strong>of</strong> <strong>the</strong> Malawian <strong>fisheries</strong> Statistical system. A report to <strong>the</strong> integrated project.<br />

FAO/MLW/16. Zomba, Malawi.<br />

FAO, 1993. Fisheries <strong>management</strong> in <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi, <strong>the</strong> Upper Shire<br />

River and Lake Malombe, with particular reference to <strong>the</strong> <strong>fisheries</strong> <strong>of</strong> chambo (Oreochromis spp.) CIFA<br />

Tech. Pap. 21, Rome FAO. 113p.<br />

Palsson OK, Bulirani A and Banda M 1999 A review <strong>of</strong> biology, <strong>fisheries</strong> and population dynamics <strong>of</strong> chambo<br />

(Oreochromis spp., CICHLIDAE) in Lakes Malawi and Malombe. Fisheries Bulletin No.38. Fisheries<br />

Department. Malawi<br />

Turner G.F. and Mdaihli M. 1992 A Bioeconomic Analysis <strong>of</strong> <strong>the</strong> Industrial and Semi-Industrial Fisheries <strong>of</strong><br />

Sou<strong>the</strong>rn Lake Malawi. FI:DP/MLW/86/013 Field Document 22, July 1992.<br />

Weyl, O.L.F. 1999. Lake Malombe artisanal fishery catch assessment 1994-1998. NARMAP Technical Report No.<br />

1. 23p.<br />

Weyl, O.L.F., Banda, M.C., Manase, M.M., Namoto, W. & Mwenekibombwe, L.H. 2001. Analysis <strong>of</strong> catch and<br />

effort data for <strong>the</strong> <strong>fisheries</strong> <strong>of</strong> Lake Malombe, 1976-1999. Fisheries Bulletin No. 45.


163<br />

Lake Malawi Fisheries Management Symposium - Proceedings<br />

The state <strong>of</strong> <strong>the</strong> large scale commercial <strong>fisheries</strong> on Lake Malawi<br />

Moses Banda<br />

Fisheries Research Unit, P.O. Box 27, Monkey Bay, MALAWI-AFRICA. Tel. 265-587-432, E-mail: fru@<strong>malawi</strong>.net.<br />

Abstract<br />

The large-scale commercial <strong>fisheries</strong> are mechanised and based in <strong>the</strong> sou<strong>the</strong>rn part <strong>of</strong> <strong>the</strong> <strong>lake</strong>. This report is based on <strong>the</strong> data<br />

collected from monitoring surveys as well as an analysis <strong>of</strong> <strong>fisheries</strong> statistics in <strong>the</strong> past decade. The data were analysed by area<br />

and depth ranges: shallow < 50 m, 51-100 m and very deep >100 m. The catch was dominated by cichlids and <strong>the</strong> cpue decreased<br />

with increasing in depth in both areas. Biomass estimates based swept area methods and <strong>the</strong> principal precautionary approach<br />

indicate that <strong>the</strong> fishery is not overexploited.<br />

Key words: Large-scale fishery, biomass, swept area method, principal precautionary approach.<br />

Introduction<br />

The large-scale commercial <strong>fisheries</strong> in Lake Malawi are mechanised and capital intensive and use mainly trawling<br />

and purse seining (‘ring net’). The fishery consists <strong>of</strong> pair trawlers, (wooden boats about 8 m long with a 20-40 hp<br />

inboard engine), stern trawler (90-385 hp) units and ring nets (90 hp), which are confined to <strong>the</strong> sou<strong>the</strong>rn part <strong>of</strong> <strong>the</strong><br />

<strong>lake</strong>. The origins <strong>of</strong> <strong>the</strong> large-scale commercial fishery can be traced back as early as 1943 when purse seining<br />

started for chambo in <strong>the</strong> south east arm by <strong>the</strong> Europeans (FAO, 1976). In <strong>the</strong> mid 1960s experimental trawling led<br />

to <strong>the</strong> establishment <strong>of</strong> a pair trawl fishery to harvest <strong>the</strong> demersal <strong>fisheries</strong> in <strong>the</strong> shallow parts <strong>of</strong> <strong>the</strong> south east arm<br />

in 1968 (Tarbit, 1972). This fishery developed rapidly in <strong>the</strong> shallow waters <strong>of</strong> <strong>the</strong> sou<strong>the</strong>rn part <strong>of</strong> <strong>the</strong> <strong>lake</strong> and in<br />

1976 it was established on <strong>the</strong> western side <strong>of</strong> <strong>the</strong> <strong>lake</strong>. The more powerful stern trawlers were introduced in 1972<br />

for bottom trawling (85 hp) and in 1976 for mid water trawling (180 hp) in <strong>the</strong> south east arm (FAO, 1976; Turner,<br />

1977). Four bottom trawlers have joined <strong>the</strong> fishery since <strong>the</strong>n; one started fishing in <strong>the</strong> same area in 1983; <strong>the</strong><br />

o<strong>the</strong>r two in 1997 and <strong>the</strong> fourth one in 1998 (Banda, 2000). There are five stern trawlers now operating, although a<br />

new 380 hp boat replaced one bottom trawler. Bottom trawling was restricted to depths ranging between 50 and<br />

70 m, but it has been expanded to deeper water (up to 100 m) by <strong>the</strong> two new powerful boats (380 hp). The reported<br />

average large-scale commercial catch is currently around 5,600 tons per annum, approximately 21% <strong>of</strong> <strong>the</strong> total<br />

annual fishing landings from Lake Malawi.<br />

The <strong>management</strong> framework <strong>of</strong> <strong>the</strong> commercial fishery is based on <strong>the</strong> recommendations from monitoring<br />

programmes carried out by <strong>the</strong> Fisheries Department, which include <strong>the</strong> assessment <strong>of</strong> sustainable yields and<br />

allowable effort through biomass surveys, and <strong>the</strong> investigation <strong>of</strong> changes in <strong>the</strong> species composition <strong>of</strong> <strong>the</strong> catches<br />

and size distribution. Sustainable yields were estimated from <strong>the</strong> data for <strong>the</strong> fishing areas using <strong>the</strong> Schaefer (1954)<br />

surplus production model with <strong>the</strong> assumption <strong>of</strong> equilibrium conditions (Pitcher and Hart, 1982). However,<br />

continuous changes in species composition and population structure render this assumption invalid (Turner, 1995).<br />

Consequently, <strong>the</strong> precautionary principle was used as stock status indicator to generate interim <strong>management</strong><br />

measures in <strong>the</strong> absence <strong>of</strong> stock assessment. The monitoring surveys were started in <strong>the</strong> early 1970s and have<br />

continued to date with some discontinuation (FAO, 1976; Turner, 1977; FAO, 1993; Turner, 1995; Banda et al.,<br />

1996; Banda and Tómasson, 1997; Pálsson et al. 1999).<br />

The fishing regulations include restriction on <strong>the</strong> number <strong>of</strong> licences to be issued in each demarcated area and <strong>the</strong><br />

minimum mesh size <strong>of</strong> <strong>the</strong> trawl cod-end to be used. At present <strong>the</strong> number <strong>of</strong> <strong>the</strong> fishing fleet is 100% i.e. all<br />

licences have been issued, although not all are operational, especially <strong>the</strong> pair trawl units. The stern trawlers are<br />

licensed to fish waters greater than 50 m and <strong>the</strong> pair trawlers between 18 and 50 m water depth, or not less than one<br />

nautical mile from <strong>the</strong> shoreline. The recommended mesh sizes for <strong>the</strong> gears are 102 mm for <strong>the</strong> ring nets and<br />

38 mm for o<strong>the</strong>r vessels.<br />

In this study, data from monitoring surveys and historical trends <strong>of</strong> catch and effort from <strong>the</strong> commercial fishery<br />

have been analysed to assess <strong>the</strong> state <strong>of</strong> <strong>the</strong> commercial <strong>fisheries</strong> with particular reference to changes in species<br />

composition, mean size and catch rates. The results could be used to improve current and future <strong>management</strong> <strong>of</strong> <strong>the</strong><br />

commercial fishery.


Materials and methods<br />

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Monitoring trawl survey<br />

The data in this study were collected during <strong>the</strong> ongoing regular stock assessment surveys carried out by <strong>the</strong><br />

Fisheries Department in <strong>the</strong> south east arm (SEA) and south west arm (SWA) <strong>of</strong> <strong>the</strong> <strong>lake</strong> (Figure 1). These surveys<br />

were designed to monitor changes taking place in <strong>the</strong> sou<strong>the</strong>rn part <strong>of</strong> <strong>the</strong> <strong>lake</strong>, which is heavily exploited. The 17 m<br />

long Fisheries Department research vessel, Ndunduma powered with a 380 hp engine which pulls a Gulloppur<br />

bottom trawl net with a 23 m headrope and a 38 mm mesh cod end was used. The effective mesh size in <strong>the</strong> cod end<br />

was 4 mm due to <strong>the</strong> net liner used to ensure that escape through <strong>the</strong> meshes was minimal.<br />

A total <strong>of</strong> 97 fixed trawl stations (54 in <strong>the</strong> SEA and 43 in SWA) were sampled during each survey. The stations<br />

were stratified into shallow 0-50 m, deep 50-100 m and very deep 100-150 m (Figure 1). Each trawl lasted for 30<br />

minutes. All trawling was done during <strong>the</strong> day at depths between 10– 150 m; it was not possible to sample in water<br />

less than 10 m deep because <strong>of</strong> restrictions imposed by <strong>the</strong> draught <strong>of</strong> <strong>the</strong> vessel.<br />

Latitude<br />

-14.4 -14.2 -14.0 -13.8<br />

34.60 34.75 34.90<br />

Longitude<br />

35.05 35.20<br />

Figure 1. Map <strong>of</strong> sou<strong>the</strong>rn <strong>of</strong> Lake Malawi showing <strong>the</strong> sampling stations used in <strong>the</strong> monitoring<br />

surveys.<br />

The catch was sorted into four categories: Clariid catfish, Bagrus meridionalis, small cichlids and o<strong>the</strong>rs (including<br />

cyprinids, mormyrids and large cichlids such as Buccochromis spp. and Oreochromis spp.). Each <strong>of</strong> <strong>the</strong>m was<br />

measured on board <strong>the</strong> vessel to <strong>the</strong> nearest 0.5 cm (total length) and most fish were weighed to <strong>the</strong> nearest 0.01 kg<br />

and those that were not weighed individually were collectively weighed as a species group to <strong>the</strong> nearest 0.1 kg.<br />

The catch per unit effort (C/f) assumed as index <strong>of</strong> abundance was expressed as:<br />

C/f = catch (kg) /swept area (ha),<br />

SEA<br />

and sustainable yields were estimated to be 40% <strong>of</strong> <strong>the</strong> stock biomass (Banda et al. 1996).


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Commercial trawl data<br />

The catch and effort data from monthly-submitted returns <strong>of</strong> <strong>the</strong> commercial fishing companies from 1980 to 2000<br />

were used in this analysis. Four datasets were summarised according to <strong>the</strong> operational fishing method: inshore<br />

demersal (pair trawlers), <strong>of</strong>fshore demersal (stern bottom trawlers), midwater (midwater trawlers) and ringnet<br />

(chambo) <strong>fisheries</strong>. Trends in effort were described using boat-days and trends in cpue using catch/day except for<br />

<strong>the</strong> purse seines. The effort for <strong>the</strong> purse seine were expressed as pulls and cpue and catch/pull. Effort for all <strong>the</strong><br />

<strong>fisheries</strong> has been standardised according to Sparre and Venema (1992) because fishing power has changed with<br />

time.<br />

The precautionary reference points for <strong>the</strong> exploitation <strong>of</strong> <strong>the</strong> <strong>fisheries</strong> resources using standardised cpue as an<br />

estimator <strong>of</strong> stock biomass or size was adopted as described in Bulirani (et al. 1999). Four reference points were<br />

calculated: maximum biomass (Bmax ), biomass at precautionary approach (Bpa), biomass limit (Blim) and current<br />

biomass point estimate (Bcur). The mean cpue over a period <strong>of</strong> relatively high cpue represented maximum biomass<br />

(Bmax) and 45% <strong>of</strong> <strong>the</strong> Bmax was considered as Bpa, a precautionary point where <strong>management</strong> must be undertaken.<br />

Blim was calculated as 20% <strong>of</strong> <strong>the</strong> Bmax and was considered as a point where <strong>management</strong> must be undertaken and<br />

Bcur was defined as <strong>the</strong> current level <strong>of</strong> biomass (cpue) relative to Bmax.<br />

Results<br />

Monitoring surveys<br />

The catch composition<br />

The dominant species (by weight) throughout <strong>the</strong> surveys are shown in Figure 2. Copadichromis virginalis,<br />

Otopharynx argyrosoma, Oreochromis spp, Bagrus meridionalis and Bathyclarias species were <strong>the</strong> dominant<br />

species groups in <strong>the</strong> shallow waters <strong>of</strong> both arms <strong>of</strong> <strong>the</strong> <strong>lake</strong> (Figure 3). Lethrinops longipinnis and C. eucinostomus<br />

were also important in <strong>the</strong> south west arm <strong>of</strong> <strong>the</strong> <strong>lake</strong>. Years <strong>of</strong> high catches <strong>of</strong> C. virginalis coincided with low<br />

catches <strong>of</strong> C. eucinostomus and visa versa. Capadichromis virginalis, Bagrus meridionalis, Bathyclarias spp.<br />

Diplotaxodon limnothrisa, Lenthrinops gossei, L. oliveri, L. alba and Synodontis njassae remained generally an<br />

important component <strong>of</strong> <strong>the</strong> catch throughout <strong>the</strong> surveys in <strong>the</strong> deep waters <strong>of</strong> <strong>the</strong> sou<strong>the</strong>rn part <strong>of</strong> <strong>the</strong> <strong>lake</strong> (Fig.4).<br />

Catch per unit <strong>of</strong> effort (cpue)<br />

The cpue for each year is shown in Figures 5 & 6 and where <strong>the</strong>re was more than one survey conducted an average<br />

cpue was calculated. The mean cpue in shallow water from <strong>the</strong> SEA and SWA were 931.5 and 714.7 kg hr -1 ,<br />

respectively, and were significantly different (t-test, p < 0.05) while that from <strong>the</strong> water depth > 50 m was 849.5 and<br />

532.1 kg hr -1 , respectively, which was also significantly different (t-test, p < 0.05). The cpue in <strong>the</strong> shallow water <<br />

50 m show a general decline since 1995 in <strong>the</strong> SEA and 1994 in <strong>the</strong> SWA (Figure 5). In contrast, <strong>the</strong> cpue in waters<br />

> 100 m seemed to have no proper trend in both arms (Figure 6).<br />

Biomass<br />

The biomass estimates and calculated MSY are shown in table 1. The biomass and MSY estimates <strong>of</strong> <strong>the</strong> SEA were<br />

generally greater than those from <strong>the</strong> SWA. Similarly, <strong>the</strong> biomass and MSY estimates are greater in waters < 50 m<br />

than in waters > 50 m in both arms.<br />

Table 1. Biomass and Maximum Sustainable Yield (MSY) estimates from RV. Ndunduma surveys in <strong>the</strong><br />

sou<strong>the</strong>rn part <strong>of</strong> Lake Malawi from 1994 to 2000.<br />

SEA SWA<br />

0-50 m > 50 m 0-50 m > 50 m<br />

Biomass 7230 8410 3130 6190<br />

MSY 2890 3360 1250 2480


o<strong>the</strong>rs Diplotaxodon<br />

limnothrisa<br />

Otopharynx<br />

argyrosoma<br />

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Figure 2. Species composition <strong>of</strong> <strong>the</strong> bottom trawl catch in <strong>the</strong> sou<strong>the</strong>rn part <strong>of</strong> Lake Malawi from<br />

surveys from 1994 to 2000.<br />

o<strong>the</strong>rs<br />

Bagrus<br />

meridionalis<br />

Bathyclarias<br />

spp.<br />

Lethrinops<br />

gossei<br />

Oreochromis<br />

species<br />

Copadichromis<br />

virginalis<br />

Figure 3. Species composition <strong>of</strong> <strong>the</strong> bottom trawl catch in <strong>the</strong> shallow waters (0-50 m) <strong>of</strong> <strong>the</strong> sou<strong>the</strong>rn<br />

part <strong>of</strong> Lake Malawi from surveys from 1994 to 2000.<br />

O<strong>the</strong>rs<br />

Letnrinopd alba<br />

Lethrinops<br />

oliveri<br />

Bagrus<br />

meridionalis<br />

Bathyclarias<br />

spp.<br />

Oreochromis<br />

species<br />

Copadichromis<br />

virginalis<br />

Otopharynx<br />

argyrosoma<br />

Copadichromis<br />

eucinostomus<br />

Bagrus<br />

meridionalis<br />

Bathyclarias<br />

spp.<br />

Lethrinops<br />

gossei<br />

Synodontis<br />

njassae<br />

Diplotaxodon<br />

limnothrissa<br />

Copadichromis<br />

virginalis<br />

Figure 4. Species composition <strong>of</strong> <strong>the</strong> bottom trawl catch in <strong>the</strong> shallow waters (0-50 m) <strong>of</strong> <strong>the</strong> sou<strong>the</strong>rn<br />

part <strong>of</strong> Lake Malawi morning surveys from 1994 to 2000.


Catch rate (kg/hr)<br />

1400<br />

1200<br />

1000<br />

800<br />

600<br />

400<br />

200<br />

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Figure 5. The mean catch rate (kg/hr) made from RV. Ndunduma surveys from 1994 to 2000 in waters<br />

(0-50m) <strong>of</strong> <strong>the</strong> sou<strong>the</strong>rn part <strong>of</strong> Lake Malawi.<br />

Catch rate (kg/hr)<br />

Figure 6. The mean catch rate (kg/hr) made from RV. Ndunduma surveys from 1994 to 2000 in waters (><br />

50 m) <strong>of</strong> <strong>the</strong> sou<strong>the</strong>rn part <strong>of</strong> Lake Malawi.<br />

Commercial <strong>fisheries</strong> catch and effort data<br />

0<br />

1200<br />

1000<br />

800<br />

600<br />

400<br />

200<br />

1994 1995 1996<br />

Year<br />

1997 1998 1999 2000<br />

Sea Sw a<br />

0<br />

1994 1995 1996 1997 1998 1999 2000<br />

Year<br />

Sea Sw a<br />

Pair trawl fishery<br />

The catches <strong>of</strong> <strong>the</strong> pair trawl fishery have been relatively stable between 1980 and 1988, and peaked up in 1990 to<br />

about 1 700 tons in <strong>the</strong> south east arm and since <strong>the</strong>n <strong>the</strong>re has been a general decline. The sudden drop in catch in<br />

1993 was due to <strong>the</strong> closure <strong>of</strong> <strong>the</strong> fishery in Area A, south <strong>of</strong> Boadzulu Island (Figure 1). The cpue and effort<br />

showed a similar pattern to that <strong>of</strong> <strong>the</strong> catch. In contrast, <strong>the</strong> catches in SWA increased from lowest levels <strong>of</strong> about<br />

150 tons in 1980 to highest levels <strong>of</strong> about 2 200 tons in 1988 and <strong>the</strong>n stabilised around 1 500 tons between 1989<br />

and 1994. After 1994, <strong>the</strong> catches have dropped down to levels <strong>of</strong> about 600 tons and have remained relatively<br />

stable since <strong>the</strong>n. The effort has followed <strong>the</strong> same pattern as <strong>the</strong> catch while <strong>the</strong> catch rates have remained relative<br />

constant around 1.2 tons a day from 1980 to 2000. The Surplus Production Models did not fit <strong>the</strong> data as a result <strong>the</strong>


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precautionary approach principle was applied (Table 2). The pair trawl fishery in <strong>the</strong> SEA operates close to Bpa<br />

while that in <strong>the</strong> SWA above Bpa and hence no need for immediate action.<br />

Table 2. Precautionary approach reference points for various large scale commercial <strong>fisheries</strong> in <strong>the</strong><br />

sou<strong>the</strong>rn part <strong>of</strong> Lake Malawi. PTF = pair trawl fishery, SBTF = stern bottom trawl fishery, MWTF =<br />

midwater trawl fishery and Ring net fishery.<br />

PTF PTF SBTF MWTF RNF<br />

Reference points SEA SWA SEA SEA SEA<br />

Bmax 1.5 1.5 1.5 1.3 1.5<br />

Bpa 0.7 0.7 0.7 0.6 0.7<br />

Blim 0.4 0.4 0.4 0.3 0.4<br />

Bcur 0.8 1.1 0.7 0.8 0.4<br />

(a)<br />

Effort and CPUE<br />

Effort and CPUE<br />

(b)<br />

2.0<br />

1.5<br />

1.0<br />

0.5<br />

0.0<br />

2.0<br />

1.8<br />

1.6<br />

1.4<br />

1.2<br />

1.0<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0.0<br />

80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 00<br />

Year<br />

Yie ld Relative cpue No rmo lis ed effo rt<br />

80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 00<br />

Year<br />

Figure 7. Catch, effort and CPUE in Pair trawl fishery in (a) south east arm and (b) south west arm <strong>of</strong><br />

Lake Malawi from 1980 to 2000.<br />

1600<br />

1400<br />

1200<br />

1000<br />

800<br />

600<br />

400<br />

200<br />

0<br />

Yield Relative cpue Normalised effort<br />

2500<br />

2000<br />

1500<br />

1000<br />

500<br />

0<br />

Catch (tonnes)<br />

Catch (tonnes)


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Stern bottom trawl fishery<br />

The catches <strong>of</strong> <strong>the</strong> demersal <strong>fisheries</strong> based in <strong>the</strong> SEA reached <strong>the</strong> highest levels <strong>of</strong> around 2 400 tons in 1984 and<br />

<strong>the</strong>n since it started declining reaching levels below 400 tons in 1993 (Figure 8). After 1993 <strong>the</strong> catch rose to<br />

2 100 tons in 1995 and since <strong>the</strong>n it has stabilised to around 1 500 tons/year. The trend <strong>of</strong> effort follows that <strong>of</strong> <strong>the</strong><br />

catch while <strong>the</strong> catch rates indicate a down trend since <strong>the</strong> early 1980s. The Surplus Production Models did not fit<br />

<strong>the</strong> data as a result <strong>the</strong> precautionary approach principle was applied (Table 2). The stern bottom trawl fishery in <strong>the</strong><br />

SEA currently operates at Bpa which calls for immediate action.<br />

Midwater trawl fishery<br />

The midwater fishery catches, which is also confined in <strong>the</strong> SEA were relatively stable between 1980 and 1992 and<br />

ranged between 1 500 and 2 200 (Figure 9). The total catch dropped to half in 1993 and has steadily increased since<br />

<strong>the</strong>n. The catch rates trend was similar to that <strong>of</strong> <strong>the</strong> total catches. The total effort has been stable throughout except<br />

in 1997 (Figure 9). The Surplus Production Models did not fit <strong>the</strong> data as a result <strong>the</strong> precautionary approach<br />

principle was applied (Table 2). The stern bottom trawl fishery in <strong>the</strong> SEA currently operates above Bpa and hence<br />

no need for immediate action.<br />

Effort and CPUE<br />

2.0<br />

1.8<br />

1.6<br />

1.4<br />

1.2<br />

1.0<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0.0<br />

80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 00<br />

Year<br />

Figure 8. Catch, effort and CPUE in stern bottom trawl fishery in <strong>the</strong> south east arm <strong>of</strong> Lake Malawi from<br />

1980 to 2000.<br />

Effort and CPUE<br />

1.8<br />

1.6<br />

1.4<br />

1.2<br />

1.0<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0.0<br />

Total Yield Relative cpue Normalised effort<br />

80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100<br />

Year<br />

Total yield Rel. cpue Norm. effort<br />

Figure 9. Catch, effort and CPUE in midwater trawl fishery in <strong>the</strong> south east arm <strong>of</strong> Lake Malawi from<br />

1980 to 2000.<br />

2500<br />

2000<br />

1500<br />

1000<br />

500<br />

0<br />

3000<br />

2500<br />

2000<br />

1500<br />

1000<br />

500<br />

0<br />

Catch (tonnes)<br />

Catch (tonnes)


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Ringet fishery<br />

Unlike <strong>the</strong> o<strong>the</strong>r <strong>fisheries</strong>, <strong>the</strong> ringnet fishery targets chambo (Oreochromis spp.) south <strong>of</strong> Boadzulu Island in <strong>the</strong><br />

SEA (Figure 10). The highest catches <strong>of</strong> chambo were manifested in 1983 and have declined steadily since <strong>the</strong>n,<br />

reaching <strong>the</strong>ir lowest levels in 1997. From 1998 to 2000 <strong>the</strong>re has been a slight increase in <strong>the</strong> catches. The total<br />

effort and catch rates have followed <strong>the</strong> pattern <strong>of</strong> <strong>the</strong> catch. Similarly, <strong>the</strong> Surplus Production Models did not fit <strong>the</strong><br />

data as a result <strong>the</strong> precautionary approach principle was applied (Table 2). The ringnet fishery in <strong>the</strong> SEA currently<br />

operates at Bpa which calls for immediate <strong>management</strong> action.<br />

Effort and CPUE<br />

3.00<br />

2.50<br />

2.00<br />

1.50<br />

1.00<br />

0.50<br />

0.00<br />

80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 00<br />

Year<br />

2000.0<br />

1800.0<br />

1600.0<br />

1400.0<br />

1200.0<br />

1000.0<br />

800.0<br />

600.0<br />

400.0<br />

200.0<br />

To tal yie ld Rel. cpue No rm. effo rt<br />

Figure 10. Catch, effort and CPUE in ringnet fishery in <strong>the</strong> south east arm <strong>of</strong> Lake Malawi from 1980 to<br />

2000.<br />

Discussion<br />

Changes in species composition, cpue and catch contribution have been used as indicators <strong>of</strong> stock status for <strong>the</strong><br />

commercial <strong>fisheries</strong> in Malawi (Turner, 1977; Banda, et al. 1996). In this case, declines <strong>of</strong> 75% <strong>of</strong> <strong>the</strong> cpue or more<br />

indicate overexploitation (Bulirani et al. 1999). The 75% reference point was however, determined arbitrarily.<br />

Species composition, cpue and catch<br />

No changes in species composition was noted during <strong>the</strong> survey period. The catch was dominated by small cichlid<br />

species such as C. virginalis, C. eucinostomus, O. argyosoma and a few large species such as B. meridionalis,<br />

Bathyclarias spp. and Oreochromis spp. which is consistent with <strong>the</strong> earlier studies (Banda et al. 1996;Turner et al.<br />

1997). All <strong>the</strong> dominant species in this survey were dominant in both small- and large-scale <strong>fisheries</strong> (Manase 2000;<br />

Nyasulu, 2001). This is indicative <strong>of</strong> resource use overlap between <strong>the</strong> small- and large-scale <strong>fisheries</strong>. The Fisheries<br />

Conservation and Management Act 1997 regulations specify that different <strong>fisheries</strong> should operate in specific areas,<br />

time and depth to reduce conflicts. Therefore, this overlap can mainly be attributed to non-compliance <strong>of</strong> <strong>the</strong><br />

regulations by fishers resulting in all different fishers operating in <strong>the</strong> same fishing grounds. Indeed large scale<br />

<strong>fisheries</strong> such as pair trawlers have been observed to fish in waters < 20 m in both arms. It has also been noted<br />

recently that RV. Ndunduma has damaged many gillnets during its fishing experimental surveys in waters depth <strong>of</strong><br />

50-60 m. The small-scale fishers set <strong>the</strong>ir 2 inch size gillnets during daytime to catch (Utaka) Copadichromis<br />

virginalis which is contrary to <strong>the</strong> law. The gillnets are supposed to be set between 6.00 p.m. and 6.00 a.m. The<br />

small scale fishers have also thrown stumps or nkokwe as fish aggregates in some trawlable grounds. The presence<br />

<strong>of</strong> <strong>the</strong> fishers waiting for <strong>the</strong>ir nets during daytime and stumps <strong>of</strong> trees makes trawling in <strong>the</strong>se grounds difficult.<br />

The standardised index <strong>of</strong> abundance which is assumed to be linearly proportional to exploitable biomass, indicate<br />

that <strong>the</strong> relative abundance has decreased between 23% and >80% since <strong>the</strong> early 1980s in various large-scale<br />

<strong>fisheries</strong>. The highest decrease was evident in <strong>the</strong> cambo fishery (> 80%) and <strong>the</strong> lowest in <strong>the</strong> pair trawl fishery<br />

(23%) in <strong>the</strong> SWA. Since <strong>the</strong> pattern <strong>of</strong> effort corresponds with <strong>the</strong> catch, <strong>the</strong> changes in catch rates can be<br />

attributed to changes in fishing effort especially for <strong>the</strong> pair trawl fishery in <strong>the</strong> SWA, demersal, chambo and<br />

0.0<br />

Catch (tonnes)


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midwater <strong>fisheries</strong>. The same argument applies to <strong>the</strong> pair trawl fishery in 1980’s in <strong>the</strong> SEA but not between 1999<br />

and 2000. The catches for <strong>the</strong> last two years were around 185 tons annually as opposed to <strong>the</strong> expected catch <strong>of</strong> 448<br />

tonnes based on <strong>the</strong> Bcur. Therefore, <strong>the</strong> low catches were perhaps a result <strong>of</strong> o<strong>the</strong>r factors such as poor maintenance<br />

<strong>of</strong> <strong>the</strong> boats and inefficient fishing power <strong>of</strong> <strong>the</strong> engines. Currently, <strong>of</strong> <strong>the</strong> sixteen licensed pair trawl units only six<br />

are operational and <strong>the</strong>ir operational schedule is sporadic.<br />

Biomass<br />

The Surplus Production Models are fitted to catch and effort data with <strong>the</strong> assumption that <strong>the</strong> fishery is in<br />

equilibrium and catch rates decrease with increasing effort. There was no significant relation between cpue and<br />

effort in all large-scale commercial <strong>fisheries</strong> indicating that <strong>the</strong> models did not fit <strong>the</strong> data. The misfit was indicative<br />

that <strong>the</strong> <strong>fisheries</strong> are not in equilibrium perhaps because <strong>of</strong> frequent break down <strong>of</strong> fishing vessels and changes in<br />

fishing power, inaccuracy <strong>of</strong> catch and effort data submissions, fluctuations in stocks <strong>of</strong> dominant species such as C.<br />

virginalis and changes in species composition, mesh size, areas fished and depth.<br />

A comparison <strong>of</strong> <strong>the</strong> estimated MSY (Table 1) and <strong>the</strong> present catch landings (~ 180 and 440 t in <strong>the</strong> SEA and<br />

SWA, respectively for pair trawl fishery, 1570 t for stern trawl) show that <strong>the</strong> pair trawl and stern bottom trawl<br />

<strong>fisheries</strong> are operating below <strong>the</strong> MSY which means that <strong>the</strong>re is no need for <strong>management</strong> recommendation. The<br />

<strong>fisheries</strong> resources <strong>of</strong> <strong>the</strong> SWA deep water (> 50 m) remain untapped because <strong>of</strong> <strong>the</strong> non-existence <strong>of</strong> <strong>the</strong> fishing<br />

activities in <strong>the</strong> area. A comparison <strong>of</strong> <strong>the</strong> estimated MSY and <strong>the</strong> actual landings by <strong>the</strong> pair trawlers however, need<br />

to be taken with caution because <strong>of</strong> differences in fishing powers. The RV. Ndunduma fishing power needs to be<br />

calibrated in relation to <strong>the</strong> pair trawlers.<br />

Unlike <strong>the</strong> swept area method, which can be applied only to <strong>the</strong> bottom trawl <strong>fisheries</strong>, <strong>the</strong> precautionary approach<br />

application is cross-cutting. The adoption <strong>of</strong> <strong>the</strong> precautionary approach indicates that <strong>the</strong>re is currently no need for<br />

<strong>management</strong> recommendations for <strong>the</strong> pair trawl and mid water fishery but <strong>the</strong>re is a need to consider reduction in<br />

effort <strong>of</strong> <strong>the</strong> stern bottom trawl and ring net. The recommendation <strong>of</strong> reduction in effort for <strong>the</strong> stern bottom trawl<br />

using <strong>the</strong> precautionary approach contradicts with that by <strong>the</strong> swept area method. This may be attributed to <strong>the</strong> fact<br />

that <strong>the</strong> cpue for <strong>the</strong> stern bottom trawl fishery does not represent mean Figure for <strong>the</strong> entire area because <strong>the</strong> fishery<br />

tends to be localised i.e. effort is not wide spread covering <strong>the</strong> entire area (Banda et al. 1996).<br />

In view <strong>of</strong> <strong>the</strong> above it is clear that <strong>the</strong>re is competition among small and large scale fishers over various stocks such<br />

as Copadichromis virginalis, Oreochromis spp. Bagrus meridionalis etc. The pair trawl and midwater trawl fishery<br />

are not fully exploited. The pair trawl fishery needs rehabilitation for it to reach its maximum potential production<br />

while <strong>the</strong>re is room for expansion for <strong>the</strong> midwater trawl fishery. The stern trawl fishery is currently fully exploited<br />

whereas <strong>the</strong> Chambo fishery is overexploited.<br />

Management<br />

The conventional <strong>management</strong> techniques for <strong>the</strong> sustainable utilisation for <strong>the</strong> commercial <strong>fisheries</strong> resources have<br />

been included in <strong>the</strong> Fisheries Conversation and Management Act 1997 and regulations include a limited number <strong>of</strong><br />

licenses in demarcated areas, trawling in specific areas, time and depth and a minimum codend mesh size <strong>of</strong> 38 mm.<br />

The <strong>management</strong> <strong>of</strong> this fishery has been emphasized mainly by effort control and fishing area. However, <strong>the</strong> fishers<br />

have followed none <strong>of</strong> <strong>the</strong>se regulations and this has been exacerbated by ineffective enforcement. All<br />

recommended licenses have been issued but very few are operational especially <strong>the</strong> pair trawl fishers. This is<br />

attributed to lack <strong>of</strong> capital for new licences and poor business <strong>management</strong>. Some people have had licenses for a<br />

very long time and have never fished. Equally, some fishers in <strong>the</strong> industry have failed to maintain <strong>the</strong>ir fishing<br />

fleet, which has led <strong>the</strong>m to stop fishing. The factors have led to <strong>the</strong> reduction in fishing effort and decreased<br />

catching efficiencies <strong>of</strong> <strong>the</strong> fishing vessels. Of <strong>the</strong> eight and twelve licences allocated to <strong>the</strong> shallow waters <strong>of</strong> <strong>the</strong><br />

SEA and SWA, respectively, only two are operational in each area. In contrast, <strong>the</strong> stern trawlers performance is<br />

better than that <strong>of</strong> <strong>the</strong> pair trawlers. All <strong>the</strong> existing stern trawlers are operational although <strong>the</strong>y are fishing in <strong>the</strong><br />

same areas <strong>of</strong> <strong>the</strong> SEA. Four licenses are recommended for this area but six are fishing <strong>the</strong>re.).<br />

Despite <strong>the</strong> fact that each fishing vessel is licensed to fish in a specific area and depth range, pair trawlers usually<br />

fish in shallow <strong>of</strong> less than 6 and 20 m while stern trawlers start fishing in depth > 30 m. Some fishers have never<br />

fished in areas according to <strong>the</strong>ir licences and yet, <strong>the</strong> returns still indicate operation in <strong>the</strong> licenced area. One stern<br />

trawl is licensed for <strong>the</strong> deep waters <strong>of</strong> <strong>the</strong> SWA but fishes in <strong>the</strong> SEA. Experiments on gear selectivity indicate that<br />

clogging <strong>of</strong> <strong>the</strong> 38 mm mesh size happens within <strong>the</strong> first 10 minutes <strong>of</strong> trawling while that <strong>of</strong> <strong>the</strong> 50 mm mesh size


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

in 15 minutes (Kanyerere, 2000). Consequently, <strong>the</strong> present recommended mesh size at <strong>the</strong> codend has been<br />

ineffective.<br />

In view <strong>of</strong> <strong>the</strong> above, <strong>the</strong>re is a need for effective enforcement <strong>of</strong> <strong>fisheries</strong> regulations to reduce <strong>the</strong> conflict amongst<br />

different fishers and if effort is to be reduced. The control <strong>of</strong> <strong>the</strong> large-scale <strong>fisheries</strong> should be feasible because <strong>the</strong>y<br />

are small and confined to a relatively small area. However, <strong>the</strong>re is also an urgent need for detailed studies on stock<br />

identification and identification <strong>of</strong> resources overlaps between <strong>the</strong> small-scale and large- scale <strong>fisheries</strong>.<br />

Acknowledgements<br />

Thanks to <strong>the</strong> staff <strong>of</strong> Malawi Fisheries Research Institute especially to Technical Assistants for commercial data<br />

compilation.<br />

References<br />

Banda, M.C. 2000. The biology and ecology <strong>of</strong> <strong>the</strong> catfishes <strong>of</strong> <strong>the</strong> Genera Bathyclarias and Bagrus in Lake Malawi. PhD.<br />

Thesis. University <strong>of</strong> Zimbabwe. 188pp.<br />

Banda, M.C. and T. Tomasson. 1997. Demersal fish stocks in sou<strong>the</strong>rn Lake Malawi: Stock assessment and exploitation.<br />

Government <strong>of</strong> Malawi, Department <strong>of</strong> Fisheries. Fisheries Bulletin No.35.<br />

Banda, M.C., Tomasson, T. and Tweddle, D. 1996. Assessment <strong>of</strong> <strong>the</strong> deep water trawl <strong>fisheries</strong> <strong>of</strong> <strong>the</strong> south east arm <strong>of</strong> Lake<br />

Malawi using exploratory surveys and commercial data. In: Stock Assessment in Inland Fisheries. Cowx, I.G. (Ed.).<br />

Oxford: Fishing News Books, pp. 53-75.<br />

Bulirani, A., M.C. Banda, O.K. Palsson, O.L.F. Weyl, G.Z. Kanyerere, M.M. Manase and R.D. Sipawe 1999. Fish stocks and<br />

<strong>fisheries</strong> <strong>of</strong> Malawian waters: Resource report. Government <strong>of</strong> Malawi, Department <strong>of</strong> Fisheries, Fisheries Research<br />

Unit. 54 pp.<br />

FAO, 1993. Fisheries <strong>management</strong> in <strong>the</strong> south east arm <strong>of</strong> Lake Malawi, <strong>the</strong> Upper Shire River and Lake Malombe, with<br />

particular reference to <strong>the</strong> <strong>fisheries</strong> on chambo (Oreochromis spp.). FAO, Rome, CIFA Technical Paper, 21, 1-113.<br />

FAO, 1976. Promotion <strong>of</strong> intergrated fishery development, Malawi. Analysis <strong>of</strong> <strong>the</strong> various <strong>fisheries</strong> <strong>of</strong> Lake Malawi. FAO,<br />

FI:DP/MLW/77/516. Technical report 1.<br />

Kanyerere, G.Z. 1999. Trawl selectivity and <strong>the</strong> effect <strong>of</strong> clogging on selectivity in standard trawl surveys in Lake Malawi. .<br />

Government <strong>of</strong> Malawi, Department <strong>of</strong> Fisheries. Fisheries Bulletin No. 39.<br />

Manase, M. 2000. Traditional gear selectivity. (in press).<br />

Nyasulu, T.E. 2001. Resource use overlaps between pair-trawl and small-scale <strong>fisheries</strong> in <strong>the</strong> south east arm <strong>of</strong> Lake Malawi:<br />

preliminary results (Proceedings <strong>of</strong> this <strong>symposium</strong>).<br />

Palsson, O.K., M.C. Banda and A. Bulirani. 1999. Review <strong>of</strong> demersal monitoring surveys in sou<strong>the</strong>rn Lake Malawi.<br />

Government <strong>of</strong> Malawi, Department <strong>of</strong> Fisheries. Fisheries Bulletin No.40.<br />

Pitcher, T.J. and Hart, P.J.B. 1982. Fisheries ecology. Croom Helm, Beckenham, 414 pp.<br />

Schaefer, M.B. 1954. Some aspects <strong>of</strong> <strong>the</strong> dynamic <strong>of</strong> populations important to <strong>the</strong> <strong>management</strong> <strong>of</strong> commercial marine <strong>fisheries</strong>.<br />

Bulletin <strong>of</strong> <strong>the</strong> Inter-American Tropical Tuna Commission.,1,27-56.<br />

Sipawe, R. 2001. Gear and species selectivity <strong>of</strong> <strong>the</strong> gillnet fishery in Lake Malawi. (Proceedings <strong>of</strong> this <strong>symposium</strong>).<br />

Tarbit, J. 1972. Lake Malawi trawling survey – Interim report 1969-1971. Malawi Fisheries Bulletin , (2), 16 pp.<br />

Turner, J. L. 1977. Some effects <strong>of</strong> demersal trawling in Lake Malawi (<strong>lake</strong> Nyasa ) from `968 to 1974. Journal <strong>of</strong> Fish Biology,<br />

10, 261-71.<br />

Turner, G.F. 1995. Management conservation and species changes <strong>of</strong> exploited fish stocks in Lake Malawi. In: The Impact <strong>of</strong><br />

<strong>the</strong> Species in African Lakes. Eds. Pitcher, T.J. and Hart, P.J.B. Chapman & Hall, London.<br />

Turner, G.F., Tweddle , D. and Makwinja, R.D. 1995. Changes in demersal cichlid communities as a result <strong>of</strong> trawling in<br />

sou<strong>the</strong>rn Lake Malawi. In: The Impact <strong>of</strong> <strong>the</strong> Species in African Lakes. Eds. Pitcher, T.J. and Hart, P.J.B. Chapman &<br />

Hall, London.


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Spatial and temporal distribution <strong>of</strong> some commercially important fish species in<br />

<strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi: A Geostatistical Analysis.<br />

Ge<strong>of</strong>frey Z. Kanyerere 1 & Anthony J. Booth 2<br />

1 Fisheries Research Unit, P.O. Box 27, Monkey Bay, Malawi.<br />

2 Dept. <strong>of</strong> Ichthyology & Fisheries Science, Rhodes University, Grahamstown 6140, South Africa. E.mail- t.booth@ru.ac.za<br />

Abstract<br />

The spatial and temporal distribution <strong>of</strong> <strong>the</strong> following fish species; Alticorpus mentale, Buccochromis lepturus, Copadichromis<br />

virginalis, Diplotaxodon elongate, and Oreochromis spp. in <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi were analysed using bottom trawl<br />

catch per unit effort (CPUE) data collected during <strong>the</strong> annual demersal monitoring surveys <strong>of</strong> 1995 and 1999. Geostatistical<br />

techniques were used to model and estimate <strong>the</strong> spatial structure <strong>of</strong> abundance and ordinary kriging was used to predict local<br />

abundance. Small-scale intra-area variation that was detected was used to model <strong>the</strong> spatial structure. Experimental variograms<br />

were calculated and fitted using <strong>the</strong> spherical variogram model. Generally <strong>the</strong> structure <strong>of</strong> <strong>the</strong> variograms varied with population<br />

density. The results indicate that A. mentale occurs mainly in deep waters <strong>of</strong> Area C with density increasing slightly over <strong>the</strong> past<br />

four years from 13 kg nm -2 in 1995 to 15 kg nm -2 in 1999. However its distribution has shrunk especially in Area B over <strong>the</strong> same<br />

period. C. virginalis principally occurs along <strong>the</strong> inshore waters <strong>of</strong> sou<strong>the</strong>ast arm especially in Area C <strong>of</strong>f Makanjila and in Area B <strong>of</strong>f<br />

Masasa and Nkhudzi Bay on <strong>the</strong> western shore and <strong>of</strong>f Kadango on <strong>the</strong> eastern shore. The species has declined in abundance in<br />

Area C. Density has decreased from 1,100 kg nm -2 in 1995 to 680 kg nm -2 in 1999. D. elongate is distributed widely occurring in<br />

<strong>of</strong>fshore waters <strong>of</strong> sou<strong>the</strong>ast arm from Area A to Area C in relatively high densities. The species occurs in highest densities in Area<br />

B, <strong>the</strong> distribution in Area C is not as wide as it used to be. The density has declined from 20,000 kg nm -2 in 1995 to 14,000 kg nm -2<br />

in 1999. Oreochromis spp. occur mainly in Area A and to a smaller extent in shallow inshore waters <strong>of</strong> Area B. Over <strong>the</strong> past four<br />

years <strong>the</strong>re has been a marked decrease in <strong>the</strong> distribution range with a corresponding decline in density from 319 kg nm -2 to 26 kg<br />

nm -2 in 1999. B. lepturus is evenly distributed in shallow waters <strong>of</strong> <strong>the</strong> sou<strong>the</strong>ast arm. The 1999 distribution pattern indicates that <strong>the</strong><br />

species has slightly declined in abundance in <strong>the</strong> nor<strong>the</strong>astern part <strong>of</strong> Area C and Area A. However density has increased from 37<br />

kg nm -2 in 1995 to 222 kg nm -2 in 1999. Although sampling was not originally designed specifically for geostatistics, <strong>the</strong>se results<br />

indicate that geostatistics can be successfully used to detect changes in <strong>the</strong> spatial and temporal distribution <strong>of</strong> fish stocks or<br />

species in <strong>lake</strong> Malawi using <strong>the</strong> existing data.<br />

Introduction<br />

Lake Malawi, situated in <strong>the</strong> African rift valley between 9 o 30"S and 14 o 30"S and bordered by Malawi, Mozambique<br />

and Tanzania, is <strong>the</strong> third largest <strong>lake</strong> in Africa with an average depth <strong>of</strong> 292 m. The shallow Areas are <strong>the</strong> most<br />

productive and are found in <strong>the</strong> sou<strong>the</strong>ast and southwest arms <strong>of</strong> <strong>the</strong> <strong>lake</strong> (Patterson & Kachinjika, 1995).<br />

The <strong>fisheries</strong> on Lake Malawi are mainly distinguished by <strong>the</strong>ir degree <strong>of</strong> mechanisation and are classified into<br />

traditional and commercial components. The commercial <strong>fisheries</strong> which are relatively mechanised and capital<br />

intensive are dominated by stern and pair trawlers (Banda & Tomasson, 1996). Of all <strong>the</strong> fishing gears, bottom trawl<br />

nets are <strong>the</strong> most important. Pelagic trawl nets and pulse seine nets are seldom used.<br />

The commercial fishery was established in 1968 after successful experimental trials revealed <strong>the</strong> existence <strong>of</strong> large<br />

demersal stocks in <strong>the</strong> sou<strong>the</strong>rn portion <strong>of</strong> <strong>the</strong> <strong>lake</strong> (Turner, 1976). All commercial fishing now occurs in <strong>the</strong><br />

sou<strong>the</strong>rn part <strong>of</strong> <strong>the</strong> <strong>lake</strong>.<br />

As <strong>the</strong> trawl fishery intensified, large changes in species composition were observed. Large cichlid species mostly<br />

belonging to <strong>the</strong> genus Lethrinops, clariid catfishes and Bagrus meridionalis have declined in abundance. This<br />

decline was followed by a corresponding increase in small cichlids most <strong>of</strong> which were Otopharynx spp. and<br />

Pseudotropheus spp. (Turner, 1976). Several follow-up projects like <strong>the</strong> “Demersal Fisheries Re-assessment Project<br />

(1989-1994)” were initiated in 1991 and one <strong>of</strong> <strong>the</strong> main findings <strong>of</strong> this project was that <strong>the</strong>re was a 50-70%<br />

decline in biomass estimates in Areas A, B and C (Figure 1). Some changes in species composition were also noted,<br />

particularly in Area B where <strong>the</strong> relative contribution <strong>of</strong> some <strong>of</strong> <strong>the</strong> larger cichlid species to <strong>the</strong> catch had decreased<br />

(Turner et al, 1995).<br />

In view <strong>of</strong> <strong>the</strong>se developments, <strong>the</strong> government <strong>of</strong> Malawi through <strong>the</strong> Department <strong>of</strong> Fisheries introduced<br />

standardised demersal surveys in 1994 to monitor <strong>the</strong> status <strong>of</strong> <strong>the</strong> stocks in <strong>the</strong> two arms <strong>of</strong> <strong>the</strong> <strong>lake</strong>. These surveys<br />

were initially conducted on quarterly basis but due to logistical problems and lack <strong>of</strong> adequate funding <strong>the</strong> frequency<br />

was reduced to two surveys a year. Recent information from <strong>the</strong>se surveys and o<strong>the</strong>r sources indicate that <strong>the</strong><br />

chambo (Oreochromis spp.) stocks in Lake Malawi have declined to <strong>the</strong> lowest level ever and as such it was<br />

proposed that all gears targeting Chambo be banned in Area A (Bulirani et al, 1999). Declining catch per unit effort


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

(CPUE) is also observed for <strong>the</strong> stocks <strong>of</strong> bombe (Bathyclarias spp), kampango (Bagrus meridionalis) and utaka<br />

(Copadichromis spp.) but <strong>the</strong> <strong>fisheries</strong> for usipa (Engraulicypris sardella) and kambuzi (small non-catfish spp.)<br />

have remained relatively stable. The findings also indicate that despite <strong>the</strong> decline <strong>of</strong> some individual stocks, <strong>the</strong><br />

overall CPUE for <strong>the</strong> deep-water stocks has remained relatively stable (Bulirani et al, 1999).<br />

The fact that <strong>the</strong> overall CPUE has remained relatively stable, despite <strong>the</strong> decline in CPUE <strong>of</strong> <strong>the</strong> large species<br />

suggests that <strong>the</strong> small species are gradually increasing in abundance at <strong>the</strong> expense <strong>of</strong> <strong>the</strong> larger ones.<br />

Unfortunately <strong>the</strong>se small species fetch low market prices. Due to low catch rates <strong>of</strong> commercially important species<br />

and <strong>the</strong> increasing abundance <strong>of</strong> small species, most trawlers and o<strong>the</strong>r fishermen have resorted to targeting specific<br />

Areas in <strong>the</strong> <strong>lake</strong> where most <strong>of</strong> <strong>the</strong> species are caught in reasonable quantities. At present, <strong>the</strong> species that are<br />

highly sought after are chambo (Oreochromis spp.), utaka (Copadichromis spp.), ndunduma (Diplotaxodon spp.),<br />

ncheni (Rhamphochromis spp.), kampango (Bagrus spp.) and bombe (Bathyclarias spp).<br />

Concentrating fishing effort on a particular stock can have serious <strong>management</strong> implications especially in cases<br />

where <strong>the</strong> stock involved is localised and has a low fecundity. For instance, most mouth brooders produce relatively<br />

few <strong>of</strong>fspring because <strong>of</strong> limited brooding space. Most <strong>of</strong> <strong>the</strong> Malawi cichlids fall into this category. In situations <strong>of</strong><br />

intense fishing pressure and <strong>the</strong> use <strong>of</strong> small-meshed gears, chances <strong>of</strong> such stocks being depleted are high. At this<br />

point, it is worth noting that <strong>the</strong> 38 mm cod-end currently in use on <strong>the</strong> Lake Malawi trawl fishery is too small, and<br />

most <strong>of</strong> <strong>the</strong> demersal species being caught are immature (Kanyerere, 1999). Such factors have undoubtedly<br />

contributed to <strong>the</strong> depletion <strong>of</strong> stocks in <strong>the</strong> <strong>lake</strong>.<br />

The decline <strong>of</strong> some stocks within <strong>the</strong> sou<strong>the</strong>rn portion <strong>of</strong> <strong>the</strong> <strong>lake</strong> suggests that <strong>the</strong> fishery is already facing serious<br />

problems, which might include intense and localised fishing pressure, growth over-fishing and recruitment failure. It<br />

is imperative that regulatory <strong>management</strong> procedures such as closed seasons and aggregate quotas, controlled Area<br />

fishing and restrictions on fishing gears and technology be instituted where necessary. However, identification and<br />

formulation <strong>of</strong> such regulations require that;<br />

i) Areas or localities where significant reduction in CPUE and species abundance has occurred be<br />

identified.<br />

ii) those Areas where commercially important species are found and what changes <strong>the</strong> species might<br />

have undergone be identified.<br />

iii) temporal changes <strong>of</strong> abundance for species with wide distributions and those with localised<br />

distributions in relation to Area, depth and time be assessed.<br />

iv) maps <strong>of</strong> species abundance by Area, depth and time be produced.<br />

The spatial and temporal distribution <strong>of</strong> commercial species needs to be assessed over a suitable time period. This<br />

can only be accomplished through <strong>the</strong> use <strong>of</strong> geostatistics as no traditional method is suitable for such assessments.<br />

Geostatistics takes <strong>the</strong> spatial autocorrelation between samples into consideration and through kriging, allows <strong>the</strong><br />

analysis and modelling <strong>of</strong> <strong>the</strong> variability <strong>of</strong> a population in space (Freire 1992). Ignoring spatial patterns when using<br />

catch per unit effort (CPUE) data to estimate stock abundance can sometimes lead to inaccurate assessments<br />

(Pelletier and Parna, 1994). As geostatistics is a relatively new technique to <strong>the</strong> Malawian <strong>fisheries</strong>, this study is<br />

preliminary and will investigate <strong>the</strong> feasibility <strong>of</strong> using geostatistics:<br />

- to model <strong>the</strong> abundance, spatial and temporal distribution <strong>of</strong> Alticorpus mentale,<br />

Buccochromis lepturus, Copadichromis virginalis, Diplotaxodon elongate and<br />

Oreochromis spp. and<br />

- to assess if <strong>the</strong> existing sampling locations meet <strong>the</strong> requirements <strong>of</strong><br />

geostatistical analysis.<br />

Materials and Methods<br />

Sampling sites<br />

The data were collected onboard <strong>the</strong> research vessel, R.V. Ndunduma using demersal trawl gear. A total <strong>of</strong> 54 and 43<br />

fixed stations are sampled bi-annually in <strong>the</strong> sou<strong>the</strong>ast and southwest arms <strong>of</strong> Lake Malawi respectively (Figure 2).<br />

The sou<strong>the</strong>ast arm is divided into Areas A, B and C and <strong>the</strong> southwest arm into Areas D, E and F for <strong>management</strong><br />

purposes (Figure1). A Global Position System (GPS) was used for fixing <strong>the</strong> position <strong>of</strong> shooting and hauling for<br />

each station, with each trawl lasting 30 minutes.


latitude<br />

Map <strong>of</strong> Sou<strong>the</strong>rn Lake Malawi showing Area boundaries<br />

F<br />

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Lake Malawi Fisheries Management Symposium - Proceedings<br />

Figure 1. Area boundaries for both sou<strong>the</strong>ast and southwest arms <strong>of</strong> Lake Malawi.<br />

-14.4 -14.2 -14.0 -13.8<br />

latitude<br />

-13.60<br />

-13.70<br />

-13.80<br />

-13.90<br />

Chipoka<br />

-14.00<br />

-14.10<br />

-14.20<br />

-14.30<br />

-14.40<br />

Chilambula<br />

E<br />

D<br />

Malembo<br />

C<br />

Monkey Bay<br />

Figure 2. Map <strong>of</strong> sou<strong>the</strong>rn Lake Malawi showing sampling stations in sou<strong>the</strong>ast (SEA) and southwest<br />

(SWA) arms.<br />

Data Collection<br />

All trawling was conducted during <strong>the</strong> day (between 6 am and 5 pm) and for each station depth (m), trawling speed,<br />

actual time trawled and position at start and end <strong>of</strong> each haul (latitude and longitude) were recorded. A total <strong>of</strong> 8<br />

surveys covering <strong>the</strong> sou<strong>the</strong>ast and southwest arms <strong>of</strong> <strong>lake</strong> Malawi have been conducted between 1995 and 1999.<br />

Data for only 1995 and 1999 was, however, used in this analysis.<br />

The sampling and recording <strong>of</strong> <strong>the</strong> catch closely followed guidelines outlined by Sparre et al, (1989). All catfish <strong>of</strong><br />

<strong>the</strong> genera Bathyclarias, Clarias and Bagrus as well as extremely large cichlid and non-cichlid species were sorted<br />

out <strong>of</strong> <strong>the</strong> main catch. Thereafter <strong>the</strong> catch was sub-sampled; <strong>the</strong> fraction <strong>of</strong> which depended on <strong>the</strong> quantity <strong>of</strong> catch<br />

landed. The catch was <strong>the</strong>n divided on deck into four categories namely; small fish (mainly cichlids but also<br />

including Synodontis njassae), Bagrus meridionalis, Clariid catfishes and all large cichlid and non-cichlid fishes.<br />

Each category was sorted into species, length measured to <strong>the</strong> nearest half centimetre and weighed.<br />

B<br />

Makaw a<br />

Makanjira<br />

A<br />

N<br />

Kadango<br />

-14.50<br />

34.40 34.50 34.60 34.70 34.80 34.90 35.00 35.10 35.20 35.30 35.40<br />

Chipoka<br />

Chilambula<br />

S W A<br />

Malembo<br />

longitude<br />

S E A<br />

Monkey Bay<br />

Makawa<br />

Makanjira<br />

34.6 34.8 35.0 35.2<br />

longitude<br />

N<br />

Kadango


Data analysis<br />

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Lake Malawi Fisheries Management Symposium - Proceedings<br />

Geometric mean<br />

From <strong>the</strong> trawl data, estimates <strong>of</strong> <strong>the</strong> percentage composition and CPUE for A. mentale, B. lepturus, C. virginalis D.<br />

elongate and Oreochromis spp. were obtained. The geometric mean (GM) was used to calculate mean CPUE. This<br />

estimation was chosen over <strong>the</strong> arithmetic mean because preliminary analysis showed that <strong>the</strong> data had an<br />

asymmetric right-skewed distribution. It was <strong>the</strong>refore assumed that abundance was also log-normally distributed.<br />

The GM was obtained by calculating <strong>the</strong> mean across stations <strong>of</strong> <strong>the</strong> log-transformed values and back transforming<br />

(Rosner, 1995) such that;<br />

n<br />

∑<br />

( CPUES<br />

+ 1)<br />

1 log<br />

n<br />

GM = 10 s=<br />

1<br />

−1<br />

where CPUEs is <strong>the</strong> catch per unit effort <strong>of</strong> station s.<br />

Geostatistical analysis<br />

The abundance <strong>of</strong> a species measured at fixed locations in a <strong>lake</strong> or ocean is known as random field data and such<br />

data is suitable for geostatistical analysis. Geostatistical data <strong>of</strong>ten exhibit small-scale variation that may be<br />

modelled as spatial correlation and incorporated into estimation procedures. Spatial variability is modelled as a<br />

function <strong>of</strong> <strong>the</strong> distance between <strong>the</strong> sampling sites, where <strong>the</strong> sites closer toge<strong>the</strong>r in space have more similar data<br />

values than those that are far apart. The variogram provides a measure <strong>of</strong> such correlation by describing how sample<br />

data are related with distance and direction (Kaluzny et al, 1998).<br />

Exploratory data analysis<br />

In two-dimensional space, a sampling location is defined by a longitude and latitude position. In order to<br />

successfully model an underlying random spatial process it must be assumed that:<br />

i) <strong>the</strong> observation and <strong>the</strong> spatial process differ only through white-noise measurement error and that<br />

ii) <strong>the</strong> spatial distribution <strong>of</strong> <strong>the</strong> species in question was stable throughout <strong>the</strong> survey period so that<br />

all CPUE observations reflect <strong>the</strong> same underlying spatial process (Pelletier and Parma, 1994).<br />

Although fish movement might make <strong>the</strong> second assumption difficult to satisfy, Lake Malawi fishes are typically<br />

resident and <strong>the</strong>refore, at a broader spatial scale, <strong>the</strong>ir distribution can be considered relatively stable. The spatial<br />

process in geostatistical data can be decomposed into a large-scale deterministic component and a small-scale<br />

stochastic component with <strong>the</strong> random field in this case not having a constant mean. As <strong>the</strong> existence <strong>of</strong> <strong>the</strong><br />

variogram is based on a process with a constant mean and variance defined only through <strong>the</strong> magnitude <strong>of</strong> distance,<br />

<strong>the</strong>n a variogram based on a random field with both large-scale trend and small-scale random variation will not meet<br />

<strong>the</strong> necessary assumption (Kaluzny et al, 1994). This implies that <strong>the</strong> first step in geostatistical data analysis is <strong>the</strong><br />

detection and removal <strong>of</strong> trend from <strong>the</strong> data before using <strong>the</strong> variogram to estimate <strong>the</strong> underlying random process.<br />

Detecting and removing spatial trends<br />

Procedures used in this study for purposes <strong>of</strong> detecting and removing trend from data are those outlined in Kaluzny<br />

et al (1998). They include:<br />

i) rotation <strong>of</strong> <strong>the</strong> longitude and latitude axes to assess spatial invariance.<br />

ii) modelling <strong>the</strong> logged data as a smooth function <strong>of</strong> <strong>the</strong> longitude and latitude using a generalised<br />

additive model (GAM) and<br />

iii) fitting a local regression model (loess) to <strong>the</strong> whole trend surface.<br />

Residuals from this model are later on used to form kriging predictions.


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

Trend in <strong>the</strong> sou<strong>the</strong>ast arm<br />

In <strong>the</strong> sou<strong>the</strong>ast arm <strong>the</strong> major trend was generally from south east to northwest. The angle <strong>of</strong> rotation was positive<br />

and <strong>the</strong>refore towards <strong>the</strong> north (90 o ) and ranged between 16 o and 45 o .<br />

Analysis<br />

The empirical variogram provides a description <strong>of</strong> how <strong>the</strong> data are correlated with distance. The semi-variogram<br />

function, γ(h), is defined as half <strong>the</strong> average squared difference between points separated by a distance h (Kaluzny et<br />

al, 1998) and is described as:<br />

where N(h) is <strong>the</strong> set <strong>of</strong> all pairwise Eucledian distances h = i - j, |N(h)| is <strong>the</strong> number <strong>of</strong> distinct pairs in N(h), and zi<br />

and zj are data values at spatial locations i and j, respectively. The letter h represents a distance measure with<br />

magnitude only but when direction is also considered, it becomes a vector h ~ (Kaluzny et al, 1998).<br />

A variogram has at least three parameters namely <strong>the</strong> nugget effect, sill and range. The nugget effect represents<br />

micro-scale variation or measurement error and is estimated from <strong>the</strong> empirical variogram as <strong>the</strong> value <strong>of</strong> γ(h) for h<br />

= 0. The sill is <strong>the</strong> variance <strong>of</strong> <strong>the</strong> random field while <strong>the</strong> range is <strong>the</strong> distance (if any) at which data are no longer<br />

autocorrelated.<br />

Additional parameters used in this study to customise <strong>the</strong> variograms were <strong>the</strong> maximum distance over which <strong>the</strong><br />

variogram is calculated, minimum number <strong>of</strong> pairs used for calculating <strong>the</strong> variogram <strong>of</strong> which 30 is <strong>the</strong> minimum,<br />

lag and number <strong>of</strong> lags. The variograms were estimated using <strong>the</strong> robust variogram estimation method as it has <strong>the</strong><br />

advantage <strong>of</strong> reducing <strong>the</strong> effect <strong>of</strong> outliers without removing specific data points from a data set (Kaluzny et al,<br />

1998). The robust estimation method is based on <strong>the</strong> fourth power <strong>of</strong> <strong>the</strong> square root <strong>of</strong> absolute differences as<br />

follows:<br />

1<br />

| zi−zi| { ∑ Nh ( ) }<br />

2|<br />

Nh ( )|<br />

γ ( h)<br />

=<br />

0. 457 + 0. 944/|<br />

Nh ( )|<br />

1 2 4<br />

Modeling <strong>the</strong> Empirical Variogram<br />

Anisotropy occurs when <strong>the</strong> spatial autocorrelation <strong>of</strong> a process changes with direction. A variogram from an<br />

anisotropic process is not purely a function <strong>of</strong> <strong>the</strong> distance h, but is a function <strong>of</strong> both <strong>the</strong> magnitude and direction <strong>of</strong><br />

h ~ (Kaluzny et al, 1998). An anisotropic variogram is geometrically anisotropic if:<br />

2γ(h) = 2γ o (||Ah||), h ∈ℜ d<br />

1<br />

γ ( h)<br />

= ∑ z<br />

| Nh ( )| i − z<br />

2<br />

j<br />

N( h)<br />

where A is a d x d matrix and 2γ 0 is a function <strong>of</strong> a real variable.<br />

( )<br />

In this situation, <strong>the</strong> Eucledian space is not appropriate for measuring distance between locations, but a linear<br />

transformation <strong>of</strong> it is (Cressie, 1993). Since variograms are only valid for an isotropic process, anisotropy has to be<br />

corrected before fitting a <strong>the</strong>oretical model to <strong>the</strong> empirical one. In this study geometric anisotropy (range <strong>of</strong> <strong>the</strong><br />

2


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

variogram changing in different directions, while sill remains constant) was identified by using directional<br />

variograms and was subsequently corrected by a linear transformation <strong>of</strong> <strong>the</strong> lag vector h ~ .<br />

After estimating <strong>the</strong> parameters <strong>of</strong> <strong>the</strong> empirical variogram, a <strong>the</strong>oretical model is <strong>the</strong>n fitted to it. This is necessary<br />

because it ensures that <strong>the</strong> variance <strong>of</strong> predicted values is positive. This study makes use <strong>of</strong> <strong>the</strong> spherical model.<br />

O<strong>the</strong>r models tested besides <strong>the</strong> spherical were exponential, gaussian, linear and power. Its choice was mainly based<br />

on <strong>the</strong> observation that it was <strong>the</strong> one that fitted well with <strong>the</strong> shape <strong>of</strong> <strong>the</strong> empirical variogram. Besides this, Freire<br />

et al (1992) state that <strong>the</strong> spherical model is <strong>the</strong> most common in <strong>the</strong> analysis <strong>of</strong> animal populations and geostatistics<br />

in general. According to Cressie, (1993) <strong>the</strong> spherical model has <strong>the</strong> form:<br />

⎧ 0,<br />

⎪<br />

γ ( h;<br />

θ ) = ⎨CO<br />

+ C<br />

⎪<br />

⎩CO<br />

+ C<br />

S<br />

S<br />

{( 3<br />

2)(<br />

|| h || a ) − ( 1 2)(<br />

|| h || a )<br />

where θ = (co,cs,as)', co ≥ 0, cs ≥ 0, as ≥ 0 and C0 is <strong>the</strong> nugget effect, due to <strong>the</strong> variability between samples, <strong>the</strong><br />

microstructure which remains undetected because <strong>of</strong> <strong>the</strong> size <strong>of</strong> <strong>the</strong> sample, or errors in measurement or location. Cs<br />

represents <strong>the</strong> sill-nugget effect, where <strong>the</strong> sill is <strong>the</strong> asymptotic value <strong>of</strong> semivariance, reached with a value <strong>of</strong> h =<br />

a, <strong>the</strong> range, which represents <strong>the</strong> maximum distance at which spatial effects are detected.<br />

The spherical model was fitted to <strong>the</strong> empirical variogram by minimising <strong>the</strong> residual sum <strong>of</strong> squares between <strong>the</strong><br />

<strong>the</strong>oretical model and <strong>the</strong> empirical variogram using <strong>the</strong> weighted least-squares estimation as follows:<br />

K<br />

∑<br />

j=<br />

1<br />

⎧ γ ( h(<br />

j))<br />

⎫<br />

| N(<br />

h(<br />

j))<br />

| ⎨ −1⎬<br />

⎩γ<br />

( h(<br />

j);<br />

θ ) ⎭<br />

where K is <strong>the</strong> number <strong>of</strong> lags, θ = (co,c,a), γ(h(j)) = spherical variogram model and<br />

= empirical variogram.<br />

γ<br />

( h(<br />

j))<br />

s<br />

2<br />

A summary <strong>of</strong> variogram parameters that were used in this analysis is displayed in Table 4. The prediction process<br />

also requires <strong>the</strong> values that are used for correcting anisotropy in addition to <strong>the</strong> range, sill, and nugget. Parameters<br />

used for correcting geometric anisotropy in this study were angle and ratio. The ratio ranged from 1.25 to 2 while<br />

<strong>the</strong> angle ranged from 45 o to 180 o . These were different for each species and year.<br />

Spatial prediction using kriging<br />

Kriging is a linear interpolation method that allows predictions <strong>of</strong> unknown values <strong>of</strong> a random function from<br />

observations at known locations. Kriging incorporates a model <strong>of</strong> <strong>the</strong> covariance <strong>of</strong> <strong>the</strong> random function when<br />

calculating predictions <strong>of</strong> <strong>the</strong> unknown values. There are two categories <strong>of</strong> kriging namely universal and ordinary<br />

(Kaluzny et al, 1998). Ordinary kriging uses a random function model <strong>of</strong> spatial correlation to calculate a weighted<br />

linear combination <strong>of</strong> available samples, for prediction <strong>of</strong> abundance and standard errors for unsampled locations.<br />

Weights for this model are chosen to ensure that <strong>the</strong> average error for <strong>the</strong> model is zero and that <strong>the</strong> modelled error<br />

variance is minimised.<br />

In this analysis, ordinary kriging was used to predict <strong>the</strong> value <strong>of</strong> <strong>the</strong> spatial process S(x) for every location x<br />

(latitude, longitude) in <strong>the</strong> Area, from a linear combination <strong>of</strong> <strong>the</strong> observed values {Z(xi), i = 1,…,g}. Based on <strong>the</strong><br />

assumption that Z(x) and S(x) differ only through measurement error (Pelletier and Parma, 1994), it is possible to<br />

model <strong>the</strong> spatial covariance <strong>of</strong> Z(x) directly instead <strong>of</strong> that <strong>of</strong> S(x). Ordinary kriging requires <strong>the</strong> stationarity <strong>of</strong> <strong>the</strong><br />

first differences <strong>of</strong> Z(x) as demanded by <strong>the</strong> intrinsic hypo<strong>the</strong>sis <strong>of</strong> Ma<strong>the</strong>ron (Cressie, 1993) such that:<br />

s<br />

3<br />

},<br />

h = 0<br />

0 < || h || ≤ a ,<br />

|| h || ≥ a<br />

s<br />

s


Ε(Z(x + h ~ ) - Z(x)) = 0,<br />

V(Z(x + h ~ ) - Z(x)) = 2γ(h)<br />

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Lake Malawi Fisheries Management Symposium - Proceedings<br />

where h ~ is a vector <strong>of</strong> length h = |h|. The first equation means that Z(x) has <strong>the</strong> same expected value over <strong>the</strong> whole<br />

Area regardless <strong>of</strong> location. In ordinary kriging, this value is assumed to be unknown. In <strong>the</strong> second equation, <strong>the</strong><br />

variance <strong>of</strong> <strong>the</strong> difference is a function <strong>of</strong> h ~ only. If second-order stationarity is assumed (as is usual for kriging)<br />

such that:<br />

Cov(Z(x + h), Z(x)) = C(h),<br />

<strong>the</strong> covariance between two points is only a function <strong>of</strong> <strong>the</strong>ir relative position, <strong>the</strong> semivariogram can <strong>the</strong>n be<br />

expressed in terms <strong>of</strong> <strong>the</strong> spatial covariance as:<br />

γ(h) = δ 2 - C(h)<br />

where <strong>the</strong> sill δ 2 is <strong>the</strong> variance <strong>of</strong> Z(x) in <strong>the</strong> model (Pelletier and Parma, 1994).<br />

Thus <strong>the</strong> spatial correlation structure <strong>of</strong> Z(x) is characterised by <strong>the</strong> variogram, γ(h). The kriging variable was <strong>the</strong><br />

residuals from <strong>the</strong> spatial loess model, while spatial locations were <strong>the</strong> rotated coordinates. The spatial correlation<br />

was modelled as spherical covariance based on <strong>the</strong> spherical variogram model fitted to <strong>the</strong> empirical variogram. The<br />

sill used was specified as <strong>the</strong> sill minus <strong>the</strong> nugget effect.<br />

Results<br />

Observed CPUE and catch composition<br />

Presented in Table 2 is a summary <strong>of</strong> CPUE for all five species.<br />

Table 2. CPUE (kg. 0.5hr -1 ) for each <strong>of</strong> <strong>the</strong> species in sou<strong>the</strong>ast arm <strong>of</strong> <strong>lake</strong> Malawi for 1995 and 1999.<br />

South East Arm (CPUE- kg 0.5 hr -1 )<br />

Species 1995 1999<br />

A. mentale 0.93 1.00<br />

C. virginalis 7.79 2.18<br />

Oreochromis spp. 1.58 0.59<br />

B. lepturus 0.54 0.61<br />

D. elongate 2.65 4.65<br />

In Table 3 is a summary <strong>of</strong> <strong>the</strong> percentage composition for each species presented separately for each Area.<br />

Table 3. Percentage composition in <strong>the</strong> total catch for each <strong>of</strong> <strong>the</strong> species in sou<strong>the</strong>ast arm <strong>of</strong> <strong>lake</strong><br />

Malawi.<br />

A B C<br />

Species 1995 1999 1995 1999 1995 1999<br />

A. mentale 0.00 0.00 0.06 0.20 1.55 2.1<br />

C. virginalis 0.10 15.26 30.87 14.50 28.74 0.91<br />

D. elongate 0.32 4.28 7.01 21.46 1.48 8.80<br />

Oreochromis spp. 31.22 11.78 0.51 0.29 0.02 0.00<br />

B. lepturus 0.10 0.41 0.36 0.48 0.24 0.53


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Variograms<br />

Table 4 presents summaries <strong>of</strong> variogram parameters for both <strong>the</strong> sou<strong>the</strong>ast and southwest arms <strong>of</strong> <strong>lake</strong> Malawi<br />

respectively.<br />

Table 4. Variogram parameters for species analysed from <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> <strong>lake</strong> Malawi for 1995 and<br />

1999.<br />

Sou<strong>the</strong>ast Arm -1995 Sou<strong>the</strong>ast Arm - 1999<br />

Species Nugget Sill Range Nugget Sill Range<br />

A. mentale 0.005 0.33 0.19 0.005 0.36 0.28<br />

C. virginalis 0.005 5.2 0.18 0.005 0.75 0.2<br />

Oreochromis spp. 0.005 0.21 0.2 0.005 0.04 0.22<br />

B. lepturus 0.005 0.13 0.36 0.005 0.19 0.3<br />

D. elongate 0.005 2.35 0.18 0.005 2.8 0.19<br />

Table 5. Changes in density for each <strong>of</strong> <strong>the</strong> species in sou<strong>the</strong>ast arm <strong>of</strong> <strong>lake</strong> Malawi for 1995 and 1999.<br />

Density (kilogrammes/nm -2 )<br />

Species 1995 1999<br />

A. mentale 13 15<br />

C. virginalis 1100 680<br />

Oreochromis spp. 319 26<br />

B. lepturus 37 222<br />

D. elongate 20000 14000<br />

Results presented correspond to isotropic variograms.<br />

A Mentale<br />

A. mentale attains a maximum size <strong>of</strong> about 25 cm total length (TL) and attains maturity at a relatively large size. It<br />

occurs in water depths <strong>of</strong> between 60 and 128 m (Turner, 1996). It is <strong>of</strong> significance to deep water bottom trawling<br />

where it contributes about 2% to <strong>the</strong> total catch (Table 3).<br />

The 1995 and 1999 variograms for A. mentale differ (Figure 3, Table 4). The range at which <strong>the</strong> data is no longer<br />

spatially correlated is higher for 1999 (0.28 nm) than for 1995 (0.19 nm) suggesting that a change in <strong>the</strong> distribution<br />

pattern <strong>of</strong> <strong>the</strong> species has occurred. The sill value for 1995 (0.33) is lower than that <strong>of</strong> 1999 (0.36) suggesting that<br />

<strong>the</strong>re was more variance in <strong>the</strong> random field in 1999 than in 1995. Both observations indicate that a change in <strong>the</strong><br />

density and distribution pattern <strong>of</strong> <strong>the</strong> species has occurred over <strong>the</strong> past four years.<br />

The distribution maps in Figure 4 indicate that A. mentale occurs mainly in <strong>the</strong> deep waters <strong>of</strong> Area C and <strong>the</strong><br />

distribution seems to have generally shrunk over <strong>the</strong> past four years as indicated by <strong>the</strong> 1999 distribution map.<br />

However density has slightly increased from 13 kg nm -2 in 1995 to 15 kg nm -2 in 1999 (Table 5). This agrees with<br />

<strong>the</strong> observed increase in percentage composition from 1.6% in 1995 to 2.1% (Table 3) and <strong>the</strong> increase in CPUE<br />

from 0.93 kg 0.5 hr -1 in 1995 to 1.00kg 0.5 hr -1 in 1999 (Table 2).<br />

gamma<br />

0.0 0.2 0.4 0.6 0.8<br />

Mentale 1995<br />

0.0 0.1 0.2 0.3<br />

distance<br />

objective = 0.64<br />

Figure 3. Variograms for A. mentale in <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> <strong>lake</strong> Malawi.<br />

0.0 0.2 0.4 0.6 0.8 1.0 1.2<br />

gamma<br />

Mentale 1999<br />

0.0 0.1 0.2 0.3 0.4<br />

distance<br />

objective = 1.2


-32.6 -32.4 -32.2 -32.0 -31.8<br />

Latitude<br />

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Lake Malawi Fisheries Management Symposium - Proceedings<br />

Figure 4. A. mentale abundance and distribution patterns during 1995 and 1999 in <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong><br />

Lake Malawi.<br />

C. virginalis<br />

C. virginalis is a small shoaling species that is very abundant on steep rocky coasts or submerged rock reefs <strong>of</strong> Lake<br />

Malawi. The species attains a maximum size <strong>of</strong> about 11-15 cm TL. It has been recorded at depths ranging from 9 m<br />

to 74 m. It is a very important species to a variety <strong>of</strong> mechanised and artisanal <strong>fisheries</strong> (Turner, 1996).<br />

gamma<br />

Mentale 1995<br />

Density (kg/sq. nm)<br />

0 2 4 6 8 10<br />

13<br />

0<br />

19.1 19.2 19.3 19.4<br />

Longitude<br />

19.5 19.6 19.7<br />

virginalis 1995<br />

objective = 53<br />

distance<br />

0.00 0.05 0.10 0.15 0.20 0.25<br />

Figure 5. Variograms for C. virginalis in <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> <strong>lake</strong> Malawi.<br />

0.0 0.5 1.0 1.5 2.0<br />

gamma<br />

36.2 36.4 36.6<br />

Longitude<br />

36.8 37.0 37.2<br />

The 1995 and 1999 variograms for C. virginalis differ (Figure 5, Table 4). The range at which <strong>the</strong> data is no longer<br />

spatially correlated is higher for 1999 (0.2 nm) than for 1995 (0.18 nm) suggesting that a change in <strong>the</strong> distribution<br />

pattern <strong>of</strong> <strong>the</strong> species has occurred. The sill value for 1995 (5.2) is much higher than that <strong>of</strong> 1999 (0.75) suggesting<br />

that <strong>the</strong>re was more variance in <strong>the</strong> random field in 1995 than in 1999. Both observations indicate that a change in<br />

<strong>the</strong> density and distribution pattern <strong>of</strong> <strong>the</strong> species has occurred over <strong>the</strong> past four years.<br />

The distribution maps in Figure 6 indicate that C. virginalis occurs in Areas A, B & C. However <strong>the</strong> distribution<br />

seems to have generally shrunk over <strong>the</strong> past four years especially in Areas B and C as observed from <strong>the</strong> 1999<br />

distribution map. Density has decreased from 1100 kg nm -2 in 1995 to 680 kg nm -2 in 1999 (Table 5). This agrees<br />

with <strong>the</strong> observed decrease in percentage composition from 30.87% in 1995 to 14.5% in Area B and from 28.74% in<br />

1995 to 0.91% in 1999 in Area C (Table 3). CPUE has likewise decreased from 7.79 kg 0.5 hr -1 in 1995 to 2.18 kg<br />

0.5 hr -1 in 1999 (Table 2).<br />

8.2 8.4 8.6 8.8<br />

Latitude<br />

Mentale 1999<br />

virginalis 1999<br />

Density (kg/sq.nm)<br />

0.0 0.1 distance 0.2 0.3<br />

15<br />

0<br />

objective = 2.9


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

Figure 6: C. virginalis distribution pattern and abundance during 1995 and 1999.<br />

Oreochromis spp.<br />

In Lake Malawi, <strong>the</strong> genus Oreochromis is composed <strong>of</strong> four species <strong>of</strong> which three are endemic to <strong>the</strong> <strong>lake</strong>. The<br />

endemic ones are O. squamipinnis (37 cm TL), O. karongae (38 cm TL) and O. lidole (37 cm TL) while O. shiranus<br />

(37 cm TL) is <strong>the</strong> only non-endemic species (Turner, 1996). They occur mainly in shallow waters and have been<br />

recorded at depths ranging from 2 m to 50 m although <strong>the</strong>y are most abundant at depths greater than 20 m (Palsson<br />

et al, 1999).<br />

The 1995 and 1999 variograms for Oreochromis spp. differ (Figure7, Table 4). The range at which <strong>the</strong> data is no<br />

longer spatially correlated is slightly higher for 1999 (0.22 nm) than for 1995 (0.2 nm) suggesting that a change in<br />

<strong>the</strong> distribution pattern <strong>of</strong> <strong>the</strong> species has occurred. The sill value for 1995 (0.21) is much higher than that <strong>of</strong> 1999<br />

(0.04) suggesting that <strong>the</strong>re was more variance in <strong>the</strong> random field in 1995 than in 1999. Both observations indicate<br />

that a change in <strong>the</strong> density and distribution pattern <strong>of</strong> <strong>the</strong> species has occurred over <strong>the</strong> past four years.<br />

0.0 0.2 0.4 0.6 0.8<br />

gamma<br />

-<br />

31<br />

-<br />

32<br />

m -<br />

ap 32<br />

2[,<br />

2]<br />

-<br />

32<br />

-<br />

32<br />

virginalis<br />

19. 19. 19. 19.<br />

map2[,<br />

19. 19. 19.<br />

oreochromis 1995<br />

Density (kg/sq.<br />

)<br />

1100<br />

0<br />

objective = 0.79<br />

0.00 0.05 0.10 0.15 0.20 0.25<br />

distance<br />

0.00 0.05 0.10 0.15<br />

distance (nm)<br />

0.20 0.25 0.30<br />

Figure 7. Variograms for Oreochromis spp in <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi.<br />

The distribution maps in Figure 8 indicate that Oreochromis spp. occurs mainly in Area A and parts <strong>of</strong> Area B.<br />

However <strong>the</strong> distribution has generally shrunk over <strong>the</strong> past four years especially in Areas A as observed from <strong>the</strong><br />

1999 distribution map. Density has likewise decreased from 319 kg nm -2 in 1995 to 26 kg nm -2 in 1999 (Table 5).<br />

This agrees with <strong>the</strong> observed decrease in percentage composition from 31.22% in 1995 to 11.78% in Area A and<br />

from 0.51% in 1995 to 0.29% in 1999 in Area B. CPUE also decreased from 1.58 kg 0.5hr -1 in 1995 to 0.59 kg 0.5<br />

hr -1 in 1999.<br />

0.00 0.05 0.10 0.15 0.20<br />

gamma<br />

-32.6 -32.4 -32.2 -32.0 -31.8<br />

Latitude<br />

virginalis 1999<br />

19.1 19.2 19.3 19.4 19.5 19.6 19.7<br />

Longitude<br />

oreochromis 1999<br />

Density (kg/sq. nm)<br />

680<br />

0<br />

objective = 0.0395


-33.0 -32.8 -32.6 -32.4 -32.2<br />

latitude<br />

oreochromis 1995<br />

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Lake Malawi Fisheries Management Symposium - Proceedings<br />

Figure 8. Oreochromis spp. abundance and distribution patterns during 1995 and 1999.<br />

B. lepturus<br />

B. lepturus like all o<strong>the</strong>r members <strong>of</strong> <strong>the</strong> genus is a large heavily-built species that attains a maximum total length <strong>of</strong><br />

about 42 cm. It is a shallow water species, and has <strong>of</strong>ten been sampled from depths ranging from 10 to 26 m<br />

(Turner, 1996). It is probably one <strong>of</strong> <strong>the</strong> most delicious fishes <strong>of</strong> <strong>the</strong> <strong>lake</strong> although it is not found in large numbers.<br />

The 1995 and 1999 variograms for B. lepturus differ (Figure 9, Table 4). The range at which <strong>the</strong> data is no longer<br />

spatially correlated is slightly higher for 1999 (0.22 nm) than for 1995 (0.2 nm) suggesting that a change in <strong>the</strong><br />

distribution pattern <strong>of</strong> <strong>the</strong> species has occurred. The sill value for 1995 (0.21) is much higher than that <strong>of</strong> 1999<br />

(0.04) suggesting that <strong>the</strong>re was more variance in <strong>the</strong> random field in 1995 than in 1999. Both observations indicate<br />

that a change in <strong>the</strong> density and distribution pattern <strong>of</strong> <strong>the</strong> species has occurred over <strong>the</strong> past four years.<br />

The distribution maps in Figure 10 indicate that B. lepturus occurs mainly in <strong>the</strong> shallow waters <strong>of</strong> Areas B and C.<br />

However <strong>the</strong> distribution has shrunk over <strong>the</strong> past four years in both Areas as observed from <strong>the</strong> 1999 distribution<br />

map.<br />

Density has however increased from 37 kg nm -2 in 1995 to 222 kg nm -2 in 1999 (Table 5). This agrees with <strong>the</strong><br />

observed increase in percentage composition from 0.36% in 1995 to 0.48% in 1999 in Area B and from 0.24% in<br />

1995 to 0.53% in 1999 in Area C. CPUE also increased from 0.54 kg 0.5 hr -1 in 1995 to 0.61 kg 0.5 hr -1 in 1999.<br />

0.00 0.05 0.10 0.15 0.20 0.25 0.30<br />

gamma<br />

Lepturus 1995<br />

Density(Kg sq. nm)<br />

319<br />

0<br />

18.6 18.7 18.8 18.9<br />

longitude<br />

19.0 19.1 19.2<br />

objective = 0.1<br />

0.0 0.1 0.2 0.3<br />

distance<br />

0.4 0.5<br />

ga<br />

mm 0.3<br />

a<br />

Figure 9. Variograms for B. lepturus in <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> <strong>lake</strong> Malawi.<br />

-23.0 -22.8 -22.6 -22.4 -22.2<br />

latitude<br />

0.5<br />

0.4<br />

0.2<br />

0.1<br />

0.0<br />

oreochromis 1999<br />

Lepturus 1999<br />

Density (Kg sq. nm)<br />

26<br />

0<br />

29.8 30.0 30.2 30.4<br />

longitude<br />

0.0 0.1 0.2 0.3 0.4<br />

distance<br />

objective = 0.18


-30.8 -30.6 -30.4 -30.2 -30.0<br />

Latitude<br />

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Figure 10. B. lepturus abundance and distribution patterns during 1995 and 1999 in <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong><br />

Lake Malawi.<br />

D. elongate<br />

Members <strong>of</strong> <strong>the</strong> genus Diplotaxodon belong to <strong>the</strong> "Ndunduma" group <strong>of</strong> fishes that are principally deep-water<br />

piscivores and zooplanktivores with upwardly angled mouths. D. elongate and its relatives are truly pelagic<br />

zooplankton feeders, which occupy <strong>the</strong> feeding niche <strong>of</strong> <strong>the</strong> "Utaka" (Copadichromis) in <strong>of</strong>fshore waters. The<br />

species attains a total length (TL) <strong>of</strong> about 19 cm. It has been recorded throughout <strong>the</strong> pelagic zone <strong>of</strong> <strong>the</strong> <strong>lake</strong> from<br />

<strong>the</strong> surface to a depth <strong>of</strong> at least 220 m (Turner, 1996). Commercially, it is also an important species to both <strong>the</strong><br />

commercial and artisanal <strong>fisheries</strong>.<br />

The 1995 and 1999 variograms for D. elongate differ (Figure 11, Table 4). The range at which <strong>the</strong> data is no longer<br />

spatially correlated is slightly higher for 1999 (0.19 nm) than for 1995 (0.18 nm) suggesting that <strong>the</strong> distribution<br />

pattern <strong>of</strong> <strong>the</strong> species has not changed much. However <strong>the</strong> much higher sill value for 1999 (2.8) than that <strong>of</strong> 1995<br />

(2.35) suggests that <strong>the</strong>re was more variance in <strong>the</strong> random field in 1999 than in 1995. The increased variance in <strong>the</strong><br />

random field indicates that a change in <strong>the</strong> density <strong>of</strong> <strong>the</strong> species has occurred over <strong>the</strong> past four years. The<br />

distribution maps in Figure 12 indicate that D. elongate occurs throughout <strong>the</strong> pelagic waters with highest<br />

concentration occurring in Area B.<br />

0 1 2 3<br />

gamma<br />

Lepturus 1995<br />

elongate 1995<br />

Density (Kg sq. nm)<br />

37<br />

0<br />

21.9 22.0 22.1<br />

Longitude<br />

22.2 22.3 22.4<br />

0.0 0.1 0.2 0.3<br />

distance<br />

objective = 6.9<br />

Figure 11. Variograms for D. elongate in <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> <strong>lake</strong> Malawi.<br />

-30.8 -30.6 -30.4 -30.2 -30.0<br />

Latitude<br />

0 1 2 3 4<br />

gamma<br />

Lepturus 1999<br />

elongate 1999<br />

Density (Kg sq. nm)<br />

222<br />

0<br />

21.9 22.0 22.1<br />

Longitude<br />

22.2 22.3 22.4<br />

objective = 19<br />

0.0 0.1 0.2<br />

distance<br />

0.3 0.4


-30.8 -30.6 -30.4 -30.2 -30.0<br />

Latitude<br />

elongate 1995<br />

Density (Kg. sq. nm)<br />

20000<br />

0<br />

21.9 22.0 22.1<br />

Longitude<br />

22.2 22.3 22.4<br />

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21.9 22.0 22.1<br />

Longitude<br />

22.2 22.3 22.4<br />

Figure 12. D. elongate abundance and distribution patterns during 1995 and 1999 in <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong><br />

<strong>lake</strong> Malawi.<br />

As observed from <strong>the</strong> 1999 distribution map <strong>the</strong> species has disappeared in shallow waters <strong>of</strong> Areas B and C but has<br />

instead extended into Area A and deeper parts <strong>of</strong> Area C. This agrees with <strong>the</strong> increase in percentage composition<br />

from 0.32% in 1995 to 4.28% in 1999 in Area A, from 7.01% in 1995 to 21.46% in 1999 in Area B and from 1.48%<br />

in 1995 to 8.8% in 1999 in Area C (Table 3). This is also reflected in <strong>the</strong> overall increase in CPUE from 2.65 kg<br />

0.5hr -1 in 1995 to 4.65 kg 0.5 hr -1 in 1999 (Table 2). Density has however decreased from 20000 kg nm -2 in 1995 to<br />

14000 kg nm -2 in 1999 (Table 5).<br />

Discussion<br />

Stock assessment methods that disregard spatial distribution <strong>of</strong> species may provide inaccurate information pertinent<br />

to <strong>management</strong>. This is so because such methods usually assume that <strong>the</strong> existing density Areas or strata are<br />

internally homogeneous unless <strong>the</strong> sampling design is perfectly random (Freire et al, 1992). Having <strong>the</strong> ability to<br />

map abundance gradients and integrating <strong>the</strong>m into space, geostatistics gives a more realistic view <strong>of</strong> a species<br />

distribution. This information can also be used to trace <strong>the</strong> spatial and temporal allocation <strong>of</strong> fishing effort for both<br />

effort-controlled and open-access <strong>fisheries</strong>.<br />

All <strong>the</strong> five species assessed in this study show different distribution patterns. This is expected because distribution<br />

patterns are in most cases linked to food availability, water temperature, dissolved oxygen, bottom sediment type<br />

and o<strong>the</strong>r ecological factors such as presence or absence <strong>of</strong> aquatic vegetation and submerged rocky reefs. The<br />

distribution pattern can at times be highly influenced by human interference such as excessive exploitation that can<br />

bring about localised extinction <strong>of</strong> a species or group <strong>of</strong> species.<br />

Alticorpus mentale<br />

The results from this study indicate that A. mentale mainly occurs in deep waters <strong>of</strong> both <strong>the</strong> southwest and<br />

sou<strong>the</strong>ast arms. In sou<strong>the</strong>ast arm it mainly occurs in deep waters <strong>of</strong> Area C. It is however more abundant in<br />

southwest arm than in sou<strong>the</strong>ast arm. The restricted distribution range greatly endangers <strong>the</strong> continued existence <strong>of</strong><br />

<strong>the</strong> species in <strong>the</strong> sou<strong>the</strong>ast arm because <strong>of</strong> high fishing pressure from deepwater demersal trawlers. However, <strong>the</strong><br />

results from <strong>the</strong> same sou<strong>the</strong>ast arm indicate that <strong>the</strong> species has gradually increased in abundance over <strong>the</strong> period<br />

from 1995 to 1999 despite intense fishing pressure. This can only be attributed to <strong>the</strong> fact that because deepwater<br />

species have a poor market value, fishing pressure has over <strong>the</strong> years been redirected to high value shallow to<br />

medium water-depth (20-70m) species such as C. virginalis, D. elongate and Oreochromis spp. among o<strong>the</strong>rs. The<br />

decline in <strong>the</strong> catch rates and distribution <strong>of</strong> species such as C. virginalis, D. elongate and Oreochromis spp. bears<br />

testimony to <strong>the</strong> redirection <strong>of</strong> fishing effort away from deep waters.<br />

Copadichromis virginalis<br />

This study has shown that C. virginalis occurs along <strong>the</strong> shores <strong>of</strong> <strong>the</strong> sou<strong>the</strong>ast arm especially in Area C <strong>of</strong>f<br />

Makanjila, and in Area B <strong>of</strong>f Masasa, Chirombo and Nkhudzi bay on <strong>the</strong> western shore and to a smaller extent on<br />

eastern shore just <strong>of</strong>f Kadango fishing village (Figure 1). The results based on <strong>the</strong> 1999 data indicate that <strong>the</strong> species<br />

has greatly declined in abundance in Area C but <strong>the</strong>re is instead a marked increase in abundance <strong>of</strong> <strong>the</strong> species in<br />

Area A.<br />

-30.8 -30.6 -30.4 -30.2 -30.0<br />

Latitude<br />

elongate 1999<br />

Density (Kg. sq. nm)<br />

14000<br />

0


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The decline in <strong>the</strong> abundance <strong>of</strong> this species in Areas C and B can be attributed to <strong>the</strong> uncontrolled fishing pressure<br />

that is exerted on <strong>the</strong> species from both <strong>the</strong> artisanal, commercial and semi-commercial <strong>fisheries</strong>. Fishers along <strong>the</strong><br />

shores <strong>of</strong> <strong>the</strong> sou<strong>the</strong>ast arm know exactly where to fish for this species resulting into localised declines in abundance<br />

within its preferred grounds while <strong>the</strong> abundance has increased in Areas that are less known to fishers. An example<br />

here is Area A.<br />

Diplotaxodon elongate<br />

The results from this survey indicate that D. elongate is a widely distributed species occurring in <strong>of</strong>fshore waters <strong>of</strong><br />

<strong>the</strong> sou<strong>the</strong>ast arm from Area A to Area C in relatively high densities. The species occurs in highest densities in Area<br />

B. As observed from <strong>the</strong> distribution pattern for both 1995 and 1999 respectively, <strong>the</strong> species has over <strong>the</strong> period<br />

1995-1999 increased in abundance with much higher densities occurring in Area B and partly extending into <strong>the</strong><br />

sou<strong>the</strong>rn portion <strong>of</strong> Area C. However its distribution range has decreased over <strong>the</strong> period between 1995 and 1999.<br />

D. elongate being a pelagic species, is not always available to bottom trawlers and <strong>the</strong>refore suffers relatively less<br />

fishing mortality than o<strong>the</strong>r species that are permanently demersal. There is also relatively less fishing pressure from<br />

<strong>the</strong> lone midwater trawler operating in Area B which occasionally lands about 53% <strong>of</strong> D. elongate as bycatch<br />

(Turner, 1996). Although <strong>the</strong>re are indications that <strong>the</strong> current distribution is not as wide as it used to be especially<br />

in Area C, <strong>the</strong> species unlike <strong>the</strong> o<strong>the</strong>rs, is not greatly affected by fishing activities. It seems to be more or less<br />

governed by <strong>the</strong> existing environmental conditions.<br />

Oreochromis spp.<br />

These species are commonly called "Chambo" and have for decades been <strong>the</strong> mainstay <strong>of</strong> both <strong>the</strong> commercial and<br />

artisanal <strong>fisheries</strong> in sou<strong>the</strong>rn Lake Malawi. Results from this study indicate that Oreochromis spp. occur mostly in<br />

Area A and to a smaller extent in shallow inshore waters <strong>of</strong> Area B. The species have greatly declined in abundance<br />

and <strong>the</strong>ir distribution range has narrowed very much.<br />

The drastic decline in <strong>the</strong> abundance and distribution <strong>of</strong> <strong>the</strong> species has mostly been blamed on localised and<br />

excessive fishing pressure from both commercial and artisanal <strong>fisheries</strong> over <strong>the</strong> years. Much <strong>of</strong> <strong>the</strong> blame has been<br />

laid on <strong>the</strong> light attraction fishery commonly known as Kauni, beach seines, and undermeshed gillnets. To redress<br />

<strong>the</strong> situation, it was recently proposed that beach seines and Kauni <strong>fisheries</strong> be banned in Area A (Bulirani et al,<br />

1999).<br />

The situation in sou<strong>the</strong>ast arm requires urgent intervention from <strong>the</strong> <strong>fisheries</strong> department because if nothing is done<br />

to curb <strong>the</strong> current trends in fishing practices, <strong>the</strong> remaining few pockets will also disappear.<br />

Buccochromis lepturus<br />

The results from this study indicate that in <strong>the</strong> sou<strong>the</strong>ast arm, B. lepturus is evenly distributed in shallow waters <strong>of</strong><br />

Areas B and C. Abundance has generally increased as manifested by <strong>the</strong> higher biomass in 1999 than in 1995.<br />

However by 1999 <strong>the</strong> species had disappeared from <strong>the</strong> eastern part <strong>of</strong> Area C and <strong>the</strong> sou<strong>the</strong>rn most portion <strong>of</strong> <strong>the</strong><br />

<strong>lake</strong> (Area A). Thus <strong>the</strong> distribution range has decreased. The general decline in abundance <strong>of</strong> this species in parts <strong>of</strong><br />

Area C and Area A can be attributed to excessive fishing effort in <strong>the</strong>se Areas mainly because <strong>of</strong> localised fishing<br />

effort in Area A for Oreochromis spp. and in Area C for C. virginalis.<br />

Conclusions<br />

This study has demonstrated that geostatistics can be successfully used to analyse <strong>the</strong> existing CPUE data in Lake<br />

Malawi to detect changes in <strong>the</strong> spatial and temporal distribution <strong>of</strong> fish stocks. The reasonably low nugget effect<br />

(0.005 max) indicates that <strong>the</strong> micro-scale variation or measurement error is small for all <strong>the</strong> species analysed.<br />

Biomass estimates are generally good for species found <strong>of</strong>fshore or in deep water. This is because during kriging,<br />

this part <strong>of</strong> <strong>the</strong> water body is analysed more thoroughly than shallow waters. However, <strong>the</strong>re is ano<strong>the</strong>r method that<br />

can be used to improve biomass estimates for shallow water species. This method was not employed in <strong>the</strong> current<br />

analysis because a lot <strong>of</strong> time is required to manually define <strong>the</strong> Area to be kriged.<br />

In order to enhance <strong>the</strong> efficacy <strong>of</strong> this new technique, <strong>the</strong> number <strong>of</strong> stations needs to be increased in sou<strong>the</strong>ast arm<br />

especially in Area B. The seven stations in Area A need to be evenly redistributed.


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Generally, all <strong>the</strong> species studied show localised occurrence in various Areas <strong>of</strong> <strong>the</strong> <strong>lake</strong>, and as such <strong>the</strong>y are very<br />

vulnerable to overfishing and are in imminent danger <strong>of</strong> facing localised extinction. To protect <strong>the</strong>se stocks it is<br />

suggested that stock-specific <strong>management</strong> measures be constituted and implemented as soon as possible. Options to<br />

be considered include closed seasons and aggregate quotas, controlled-Area fishing, restrictions on fishing gear and<br />

technology.


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Acknowledgements<br />

I would like to thank ICEIDA (Malawi) for sponsoring my studies at Rhodes University and my project supervisor,<br />

Dr. A. Booth, who untiringly guided me through all <strong>the</strong> data analysis and write-up.<br />

References<br />

Banda, M.C. and Tomasson, T. (1996). Surveys <strong>of</strong> Trawling Grounds and Demersal Fish Stocks in Central Lake Malawi from<br />

Domira Bay to Nkhata Bay in 1994 and 1995. Government <strong>of</strong> Malawi, Fisheries Department. Fisheries Bulletin No.<br />

33,34 pp.<br />

Bulirani, A.E., Banda, M.C., Palsson K.P., and Weyl, O.L.F. (1999). Fish Stocks and Fisheries <strong>of</strong> Malawian Waters. Resource<br />

Report 1999. Government <strong>of</strong> Malawi, Fisheries Department. 54pp.<br />

Cressie, N.A.C. (1993). Statistics for Spatial Data. John Wiley & Sons, New York. 900 pp.<br />

Freire, J., Gonzalez-Gurriaran, E. & Olaso, I.(1992). Spatial Distribution <strong>of</strong> Munida intermedia and M.sarsi<br />

(Crustacea:Anomura) on <strong>the</strong> Galician Continental Shelf (NW Spain): Application <strong>of</strong> Geostatistical Analysis. Estuarine,<br />

Coastal and Shelf Science (1992) 35, 637-647.<br />

Gulland, J.A. (1983). Fish Stock Assessment: A Manual <strong>of</strong> Basic methods. Volume 1. FAO, Rome. 223 pp.<br />

Hall, S.J. (1999). The Effects <strong>of</strong> Fishing on Marine Ecosystems and Communities. Blackwell Scientific Publ., London. 274pp.<br />

Kaluzny, S.P., Vega, S. C., Cardoso, T.P., and Shelly, A,A (1998). S+Spatial Stats- Users Manual for Windows and Unix.<br />

Springer- Verlag New York, Inc., New York. 321 pp.<br />

Kanyerere, G.Z. (1999). Trawl Selectivity and <strong>the</strong> Effect <strong>of</strong> Clogging on Standard Trawl Surveys on Lake Malawi. Government<br />

<strong>of</strong> Malawi, Fisheries Department. Fisheries Bulletin No. 39. 25pp.<br />

Palsson, O.K., Bulirani, A., and Banda, M (1999). A Review <strong>of</strong> Biology, Fisheries and Population dynamics <strong>of</strong> Chambo<br />

Oreochromis spp., Cichlidae) in Lakes Malawi and Malombe. Government <strong>of</strong> Malawi, Fisheries Department, Fisheries<br />

Bulletin No. 38. 35 pp.<br />

Patterson, G. & Kachinjika, O. (1995). Limnology and Phytoplankton Ecology. In A. Menz (ed.), The Fishery Potential and<br />

Productivity <strong>of</strong> <strong>the</strong> Pelagic zone <strong>of</strong> Lake Malawi/Niassa. Natural Resources Institute, Chatham, UK. pp307-349<br />

Pelletier, D. & Parma, A.M.(1994). Spatial Distribution <strong>of</strong> Halibut (Hippoglossus stenolepsis): An Application <strong>of</strong> Geostatistics to<br />

Longline Survey Data. Can. J. Fish. Aquatic(1994). Sci. 51, 1506-1517.<br />

Turner, G.F. (1996). Offshore Cichlids <strong>of</strong> Lake Malawi. Cichlid Press, D-31864 Lauenau, 236 pp.<br />

Turner, G.F.,Tweddle, D., and Makwinja, R.D. (1995). Changes in Demersal Cichlid Communities as a result <strong>of</strong> Trawling in<br />

Sou<strong>the</strong>rn Lake Malawi. In T.J. Pitcher and P.J.D. Hart (eds.), The Impact <strong>of</strong> Species changes in African Lakes.<br />

Chapman and Hall, London, pp.397-412.<br />

Turner, J. (1976). Promotion <strong>of</strong> Integrated Fishery Development-Malawi. An Analysis <strong>of</strong> <strong>the</strong> various <strong>fisheries</strong> <strong>of</strong> Lake Malawi.<br />

Technical Report 1, Rome, FAO. 73pp.<br />

Rosner, B. (1995). Fundamentals <strong>of</strong> Biostatistics. Wadsworth Publ. Company, California 94002. 661 pp.<br />

Sparre, P., Ursin, E. & Venema, S.C. (1989). Introduction to Tropical Fish Stock Assessment. Part 1-Manual. FAO, Fisheries<br />

Technical Paper No. 306/1, 337 pp.


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Preliminary Investigations <strong>of</strong> Community Level Responses to Benthic Trawling in<br />

<strong>the</strong> Demersal Fish Fauna <strong>of</strong> Lake Malawi/Niassa, Africa.<br />

Will Darwall<br />

Department <strong>of</strong> Biological Sciences, University <strong>of</strong> Hull, UK, Overseas Development Group / School <strong>of</strong> Development Studies,<br />

University <strong>of</strong> East Anglia, UK<br />

Introduction<br />

A demersal trawl fishery was initiated in 1968 in <strong>the</strong> far south <strong>of</strong> <strong>the</strong> South East Arm (SEA) <strong>of</strong> Lake Malawi in an<br />

area since designated as "Area A" (Tarbit 1971) (Fig. 1). The fishery in Area A has a mean annual yield <strong>of</strong> 800<br />

metric ‘red’ (Bulirani et al. 1999) and targets an estimated 70-80 species, mostly from <strong>the</strong> family Cichlidae.<br />

Management has been largely based on <strong>the</strong> application <strong>of</strong> single species models (Tweddle & Magasa 1989) which<br />

are unable to account for species specific responses to fishing which result from <strong>the</strong> wide range <strong>of</strong> life histories<br />

expressed (see (Adams 1980) for a review <strong>of</strong> life history influence on response to fishing). Life history<br />

characteristics <strong>of</strong> <strong>the</strong> target species range from those maturing at 37mm (Pseudotropheus livingstonii) with a mean<br />

fecundity <strong>of</strong> 25, to those maturing at 160mm (Buccochromis lepturus) with an estimated mean fecundity <strong>of</strong> 450<br />

(Duponchelle & Ribbink 2000). Growth rate estimates for <strong>the</strong>se species still remain uncertain but include values <strong>of</strong><br />

K ranging from 0.49 - 1.82 (Iles 1971; Tweddle & Turner 1977; Duponchelle & Ribbink 2000).<br />

Kyela<br />

Nkhata Bay<br />

Chin<strong>the</strong>che<br />

Nkhotakota<br />

Domira Bay<br />

Senga Bay<br />

Mbamba Bay<br />

SWA SEA<br />

Metangula<br />

Maponda<br />

Area A<br />

Figure 1. Lake Malawi showing <strong>the</strong> location <strong>of</strong> <strong>the</strong> study area, Area A, in <strong>the</strong> South-East Arm (SEA).<br />

Previous studies in Area A have already identified a reduction in fishing yields, changes in species composition,<br />

local extirpation <strong>of</strong> species, decline in abundance <strong>of</strong> large species, increased abundance <strong>of</strong> small species, and an<br />

initial decline in species richness (FAO 1976; Turner 1977a; Turner 1977b; Turner et al. 1995; Stauffer J.R. et al.<br />

1997). The application <strong>of</strong> multispecies models, which may attempt to account for <strong>the</strong> varied species responses to<br />

fishing, is unlikely to be successful because not only are <strong>the</strong> data requirements extensive but it would be hard to<br />

implement <strong>management</strong> recommendations based on a whole suit <strong>of</strong> measures tailored for each individual species, or<br />

group <strong>of</strong> species. An alternative approach is to assess and manage <strong>the</strong> fishery at <strong>the</strong> level <strong>of</strong> <strong>the</strong> fish community or<br />

ecosystem. The ecosystem / community level approach to fishery <strong>management</strong> is becoming more accepted at <strong>the</strong><br />

global level (Hollingworth 2000) and, given <strong>the</strong> multispecies, multigear nature <strong>of</strong> <strong>the</strong> fishery, it should be considered<br />

for Lake Malawi.<br />

In this paper community level responses in <strong>the</strong> demersal fish fauna <strong>of</strong> Area A were investigated throughout <strong>the</strong> thirty<br />

year period <strong>of</strong> benthic trawling with an aim to identifying a suitable "indicator" parameter for future monitoring <strong>of</strong><br />

community level changes in <strong>the</strong> fishery. The study includes analyses <strong>of</strong> both species and trophic composition.


Methods<br />

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Species Compositions<br />

Species compositions were obtained from experimental trawl surveys conducted by <strong>the</strong> Malawi Fisheries Research Unit (FRU) since 1970.<br />

Analyses were restricted to catches from within <strong>the</strong> 20-40m depth range which is mainly targeted by <strong>the</strong> trawl fishery in Area A. Inconsistencies<br />

in taxonomic identifications and catch sampling methodologies combined with <strong>the</strong> replacement <strong>of</strong> <strong>the</strong> research vessel E<strong>the</strong>lwyn Trewavas with<br />

<strong>the</strong> RV Ndunduma in 1993/4 necessitated extensive standardisation <strong>of</strong> data.<br />

Data standardisation<br />

Sampling methodologies<br />

There were a number <strong>of</strong> inconsistencies in <strong>the</strong> way trawl catches were sampled through <strong>the</strong> years. The large catfish<br />

and 'o<strong>the</strong>rs' (large cyprinids, mormyrids and large cichlids such as Oreochromis spp. and Buccochromis spp.) had<br />

already been discarded from <strong>the</strong> data obtained for <strong>the</strong> 1991-92 surveys (Turner et al. 1995). Consequently,<br />

community changes can only be assessed for <strong>the</strong> 'small' fish subset <strong>of</strong> <strong>the</strong> community, mainly comprising cichlids 1 .<br />

There may still be inconsistencies between survey periods for Oreochromis and Buccochromis spp. as <strong>the</strong> size at<br />

which <strong>the</strong>y were considered to be "large" and thus excluded from <strong>the</strong> "smalls" category has not been strictly<br />

determined such that different surveys may have discarded different proportions <strong>of</strong> <strong>the</strong>se species.<br />

Taxonomic inconsistencies<br />

The data set for this study spans a period <strong>of</strong> 30 years during which time many <strong>of</strong> <strong>the</strong> species names and cheironyms<br />

used have changed. Considerable effort has been put into tracing <strong>the</strong>se changes in nomenclature and in <strong>the</strong><br />

production <strong>of</strong> a standardised list <strong>of</strong> species names that can be applied to all surveys. Many name changes were<br />

successfully traced through <strong>the</strong> literature or sorted out following discussions with Pr<strong>of</strong>. George Turner who was<br />

responsible for many <strong>of</strong> <strong>the</strong> new cheironyms introduced during <strong>the</strong> 1991-92 survey. For all remaining cases with<br />

potential for taxonomic confusion taxa have been consolidated into species complexes or identification has been<br />

restricted to <strong>the</strong> level <strong>of</strong> genus.<br />

Standardisation <strong>of</strong> catches from E<strong>the</strong>lwynn and Ndunduma trawls<br />

In 1993 both <strong>the</strong> RV E<strong>the</strong>lwynn Trewavas and RV Ndunduma operated simultaneously allowing a direct<br />

comparison <strong>of</strong> trawl catch rates from <strong>the</strong> two vessels (Banda et al. 1996). The difference in codend mesh size, 38mm<br />

on Ndunduma and 25mm on E<strong>the</strong>lwynn, was reported not to have a major impact on catch biomass and <strong>the</strong> two<br />

gears were considered to have "identical selectivity curves for <strong>the</strong> size at first capture". Size frequency distributions<br />

for catches from each vessel were very similar for fish below approximately 10cm (TL) above which <strong>the</strong> Ndunduma<br />

catches were significantly greater. The greater catches by <strong>the</strong> Ndunduma were said to be a product <strong>of</strong> its greater<br />

trawling speed enabling increased capture rates for larger fish such as catfish, cyprinids and large cichlids. The<br />

greater swept area, for both horizontal and vertical dimensions, would also have accounted for <strong>the</strong> greater yields.<br />

Unfortunately no detailed comparison <strong>of</strong> species compositions for catches from <strong>the</strong> two vessels was reported and <strong>the</strong><br />

original data for <strong>the</strong>se trawls appears to have been lost (Banda pers. comm.). The reactivation <strong>of</strong> <strong>the</strong> E<strong>the</strong>lwynn<br />

Trewavas would be most beneficial for direct comparison <strong>of</strong> <strong>the</strong> species selectivities <strong>of</strong> <strong>the</strong> two vessels.<br />

In recognition <strong>of</strong> <strong>the</strong> differences in catch compositions from <strong>the</strong> two vessels all shoaling '<strong>of</strong>f-bottom' species which<br />

would be caught preferentially by <strong>the</strong> Ndunduma but not by <strong>the</strong> E<strong>the</strong>lwynn Trewavas were excluded from <strong>the</strong><br />

analyses. Species groups excluded under this category were all Copadichromis spp., Diplotaxodon spp, and<br />

Rhamphochromis spp. The larger, faster swimming species, also preferentially caught by <strong>the</strong> Ndunduma, were<br />

automatically excluded as <strong>the</strong>y would have been sorted into <strong>the</strong> 'large fish' portion <strong>of</strong> <strong>the</strong> catch. The remaining<br />

portion <strong>of</strong> <strong>the</strong> catch, for which time series analyses could be conducted, comprises <strong>the</strong> group <strong>of</strong> fish known locally<br />

as 'Chisawsawa' which constitutes <strong>the</strong> truly demersal cichlid community. The only non-cichlid included is <strong>the</strong> small<br />

catfish, Synodontis njassae. As all species compositions are presented as percentages <strong>of</strong> total biomass<br />

standardisation <strong>of</strong> trawling times and swept areas was not required.<br />

Fish diets and allocation <strong>of</strong> trophic guilds<br />

Trophic analyses were based on <strong>the</strong> results <strong>of</strong> dietary studies. Fish dietary components were determined from<br />

stomach analysis <strong>of</strong> 114 species from across <strong>the</strong> whole demersal fish community. Over 3,000 fish were sampled<br />

with <strong>the</strong> sample sizes weighted towards those species most dominant in <strong>the</strong> catch. This sampling program provided<br />

1 Data on <strong>the</strong> "large fish" component has since been obtained and will be included in future analyses.


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dietary data for 95% <strong>of</strong> <strong>the</strong> mean catch biomass. The results <strong>of</strong> stomach analysis were confirmed in a number <strong>of</strong><br />

cases by results from analysis <strong>of</strong> stable isotope ratios.<br />

Statistical analysis<br />

Dominance curves, diversity indices, and Multi-Dimensional Scaling (MDS) ordination techniques were used in <strong>the</strong><br />

analyses <strong>of</strong> temporal changes in community composition (Primer S<strong>of</strong>tware 1994). MDS ordinations were based on<br />

Bray-Curtis Similarity matrices <strong>of</strong> 4 th root transformed percentage biomass for each species or trophic guild. The<br />

sample unit was taken as each individual trawl catch.<br />

Results<br />

The demersal fish community<br />

The trophic structure <strong>of</strong> <strong>the</strong> demersal fish community includes 4-5 trophic levels based predominantly on <strong>the</strong><br />

consumption <strong>of</strong> detritus and diatoms (Fig. 2). The main food items were, in descending order <strong>of</strong> dominance, detritus<br />

and diatoms (combined in a "diatomaceous ooze"), molluscs, copepods (mainly cylcopoids), o<strong>the</strong>r fish, chironomid<br />

larvae, cladocera, o<strong>the</strong>r insect larvae, and oligochaetes.<br />

Tilapines /<br />

Haplochromines<br />

Catfish<br />

The Fishery<br />

Pisciv. Haplochromines<br />

Haplochromines / Synodontis<br />

Molluscs Caridina<br />

Detritus / diatoms / algae<br />

Figure 2. Schematic diagram <strong>of</strong> <strong>the</strong> demersal fish community food-web.<br />

Temporal changes in community composition<br />

Non-cichlids<br />

Herbivorous /<br />

detritivorous<br />

Carnivorous Inverts<br />

Species composition<br />

Species compositions were obtained from surveys over <strong>the</strong> 1970-75 period and from 1990 to 1998. No surveys were<br />

conducted during <strong>the</strong> 1980's. MDS ordination demonstrates a clear temporal reduction in diversity between<br />

individual trawl catches within each survey period (Fig. 3). In effect <strong>the</strong> similarity between individual trawl catches<br />

within a survey period has increased in more recent years (<strong>the</strong> mean similarity between trawls was 38.89 in 1973<br />

and 54.28 in 1998 - Bray-Curtis similarity index). K-dominance curves show that <strong>the</strong> community has become<br />

dominated (in terms <strong>of</strong> biomass) by fewer species in recent years (Fig. 4). There was no significant reduction in<br />

species richness (at <strong>the</strong> restricted taxonomic level used in <strong>the</strong> analyses) or change in species distributions over time.<br />

The temporal trend for increasing dominance was reversed during <strong>the</strong> last survey period (1995-98) when dominance<br />

was shown to have declined. This apparent reversal towards <strong>the</strong> original state <strong>of</strong> evenness may indicate a degree <strong>of</strong><br />

community resilience to fishing, as originally suggested by Tweddle and Magasa (1989).<br />

Bacteria


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Figure 3. MDS ordination in which each point represents <strong>the</strong> species composition <strong>of</strong> a single trawl catch.<br />

The distance between points is a measure <strong>of</strong> <strong>the</strong>ir similarity where points closest toge<strong>the</strong>r are <strong>the</strong> most<br />

similar. Trawls from each survey period are enclosed in ellipses.<br />

Cumilative % biomass<br />

100<br />

90<br />

80<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

1 11 21 31 41<br />

Ranked species<br />

Figure 4. K-dominance curves for species biomass.<br />

1971-73<br />

1975<br />

1991-92<br />

1995-98<br />

1971-73<br />

1975<br />

1991-92<br />

1995-98


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Trophic guilds<br />

Species were allocated to one <strong>of</strong> ten trophic guilds defined as collections <strong>of</strong> species using similar combinations <strong>of</strong><br />

food types. MDS ordination shows a clear change in guild composition over time (Fig. 5). The most significant<br />

change was seen between <strong>the</strong> 1971-73 and 1975 survey periods in <strong>the</strong> early stages <strong>of</strong> development <strong>of</strong> <strong>the</strong> fishery<br />

(ANOSIM, R statistic = 0.316, p < 0.001). Little change was observed between 1975 and 1991-92 but by <strong>the</strong> time <strong>of</strong><br />

<strong>the</strong> 1997-98 survey guild composition showed no significant difference from <strong>the</strong> original 1971-73 state. The return<br />

to <strong>the</strong> original state following a period <strong>of</strong> change follows <strong>the</strong> pattern <strong>of</strong> change described above for species<br />

compositions.<br />

1971-73<br />

1971-73<br />

1975<br />

1991-92<br />

1995<br />

1997-98<br />

1991-92<br />

Figure 5. MDS ordination <strong>of</strong> trophic guilds. Each point represents <strong>the</strong> trophic guild composition <strong>of</strong> a single<br />

trawl catch. The distance between points is a measure <strong>of</strong> <strong>the</strong>ir similarity where points closest toge<strong>the</strong>r are<br />

<strong>the</strong> most similar.<br />

Trophic biomass pyramids<br />

Pyramids <strong>of</strong> biomass were constructed by multiplying <strong>the</strong> percentage compositions <strong>of</strong> food items for each species by<br />

<strong>the</strong> species percentage composition in <strong>the</strong> community (Fig. 6). The mean trophic level dropped from an initial value<br />

<strong>of</strong> 3.02 in 1971-73 to a low <strong>of</strong> 2.71 in 1975. By <strong>the</strong> time <strong>of</strong> <strong>the</strong> 1995-98 survey period <strong>the</strong> trophic level had risen<br />

back to near its original level at 2.95.<br />

Trophic Level<br />

Trophic Level<br />

5<br />

4<br />

3<br />

2<br />

5<br />

4<br />

3<br />

2<br />

1971-73<br />

0 10 20 30 40 50<br />

% Com position<br />

1991-92<br />

0 10 20 30 40 50<br />

% Composition<br />

Trophic Level<br />

Trophic Level<br />

Figure 6. Pyramids <strong>of</strong> biomass. Each plot depicts <strong>the</strong> mean relative proportion <strong>of</strong> each trophic level within<br />

<strong>the</strong> community for that period <strong>of</strong> survey.<br />

5<br />

4<br />

3<br />

2<br />

1975<br />

1995-98<br />

1975<br />

1995<br />

5<br />

4<br />

3<br />

2<br />

0 10 20 30 40 50<br />

% Composition<br />

0 10 20 30 40 50<br />

% Com position


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Conclusions and Recommendations<br />

Species compositions, species diversity (dominance/evenness) and trophic composition have all changed<br />

significantly over <strong>the</strong> 30 year period <strong>of</strong> study. All <strong>of</strong> <strong>the</strong>se community descriptors have followed a similar pattern <strong>of</strong><br />

change. If <strong>the</strong>se patterns are to be interpreted as a community response to fishing it would appear that <strong>the</strong> initiation<br />

<strong>of</strong> <strong>the</strong> fishery has stimulated a rapid alteration in community structure followed by a period <strong>of</strong> relative stability and,<br />

finally, a gradual return towards <strong>the</strong> original state by <strong>the</strong> 1995-98 period. Such a response would be typical <strong>of</strong> that<br />

expected from a community resilient to change. A more useful interpretation <strong>of</strong> this last observation, however,<br />

awaits <strong>the</strong> analysis <strong>of</strong> an extended time series (including data from 1999-2000) combined with analyses for possible<br />

correlation <strong>of</strong> dominance with levels <strong>of</strong> fishing effort, primary productivity and o<strong>the</strong>r environmental variables (work<br />

in progress).<br />

Changes in species dominance parallel <strong>the</strong> changes recorded for all o<strong>the</strong>r aspects <strong>of</strong> community structure<br />

investigated in this study and may, as such, serve as a suitable "indicator" for monitoring community level responses<br />

to fishing pressure. It is well documented that alterations to community structure following fishing may lead to<br />

significant changes in fishery productivity and stability (Jennings & Kaiser 1998). Such community level changes<br />

would not be detected by <strong>the</strong> current approaches to fishery assessment in Lake Malawi. As species dominance can<br />

easily be calculated from <strong>the</strong> data already being collected as part <strong>of</strong> <strong>the</strong> regular program <strong>of</strong> monitoring by <strong>the</strong> FRU it<br />

is recommended that this measure be included as a monitoring parameter for future fishery assessment on Lake<br />

Malawi.<br />

Acknowledgements<br />

Thanks are given to Mr Davis Mandere (FRU) who was responsible for all recent species identifications and to<br />

Valerie Choiseul (EU project) and Tony Mhango (FRU) for <strong>the</strong>ir work on <strong>the</strong> dietary analysis. This work is based<br />

on data obtained as part <strong>of</strong> <strong>the</strong> EU funded INCO-DC project: "The trophic ecology <strong>of</strong> <strong>the</strong> demersal fish community<br />

<strong>of</strong> Lake Malawi/Niassa, Africa."<br />

References<br />

Adams, P. B. 1980. Life history patterns in marine fishes and <strong>the</strong>ir consequences for <strong>management</strong>. Fishery Bulletin, 78, 1-12.<br />

Banda, M., Tomasson, T. & Tweddle, D. 1996. Assessment <strong>of</strong> <strong>the</strong> deep water trawl <strong>fisheries</strong> <strong>of</strong> <strong>the</strong> South East Arm <strong>of</strong> Lake<br />

Malawi using exploratory surveys and commercial catch data. Stock Assessment in Inland Fisheries (ed I. G. Cowx),<br />

pp. 53-75. Fishing News Books, Oxford.<br />

Bulirani, A. E., Banda, M. C., Pálsson, O. K., Weyl, O. L. F., Kanyerere, G. Z., Manase, M. M. & Sipawe, R. D. 1999. Fish<br />

Stocks and Fisheries <strong>of</strong> Malawian Waters. Resource Report. 1999. Lilongwe, Malawi, Government <strong>of</strong> Malawi<br />

Fisheries Department.<br />

Duponchelle, F. & Ribbink, A. J. 2000. Fish Ecology Report: Lake Malawi/Nyassa/Niassa Biodiversity Conservation Project. 1-<br />

139. SADC/GEF.<br />

FAO. 1976. Promotion <strong>of</strong> integrated fishery development, Malawi. FI:DP/MLW/75/109, Technical Report 1. Rome.<br />

Hollingworth, C. E. 2000. Ecosystem Effects <strong>of</strong> Fishing. ICES Journal <strong>of</strong> Marine Science, 57, 465-792.<br />

Iles, T. D. 1971. Ecological aspects <strong>of</strong> growth in African cichlid fishes. J.Cons.int.Explor.Mer., 33, 363-385.<br />

Jennings, S. & Kaiser, M. J. 1998. The Effects <strong>of</strong> fishing on Marine Ecosystems. Advances in Marine Biology, 34, 201-352.<br />

Stauffer J.R., Arnegard M.E., Centron M., Sullivan J.J., Chitsulo L.A., Turner, G. F., Chiotha S. & McKaye, K. R.1997.<br />

Controlling vectors and hosts <strong>of</strong> parasitic diseases using fishes. Bioscience, 47, 41-49.<br />

Tarbit, J. 1971. Lake Malawi Trawling Survey: Interim Report 1969-1971. 2, 1-16. 1971. Zomba, Malawi, Ministry <strong>of</strong><br />

Agriculture & Natural Resources. Fisheries Bulletin Ref Type: Report.<br />

Turner, G. F., Tweddle, D. & Makwinja, R. D. 1995. Changes in demersal cichlid communities as a result <strong>of</strong> trawling in sou<strong>the</strong>rn<br />

Lake Malawi. The Impact <strong>of</strong> Species Changes in African Lakes (eds T. J. Pitcher & P. J. B. Hart), pp. 397-412.<br />

Chapman & Hall, London.<br />

Turner, J. L. 1977a. Changes in size structure <strong>of</strong> cichlid populations <strong>of</strong> Lake Malawi resulting from bottom trawling. Journal <strong>of</strong><br />

<strong>the</strong> Fisheries Research Board <strong>of</strong> Canada, 34, 232-238.<br />

Turner, J. L. 1977b. Some effects <strong>of</strong> demersal trawling in Lake Malawi (Lake Nyassa) from 1968 to 1974. Journal <strong>of</strong> Fish<br />

Biology , 10, 261-272.<br />

Tweddle, D. & Magasa, J. H. 1989. Assessment <strong>of</strong> mulitspecies cichlid <strong>fisheries</strong> <strong>of</strong> <strong>the</strong> Sou<strong>the</strong>ast Arm <strong>of</strong> Lake Malawi, Africa.<br />

J.Cons.int.Explor.Mer., 45, 209-222.<br />

Tweddle, D. & Turner, J. L. 1977. Age, growth and natural mortality rates <strong>of</strong> some cichlid fishes <strong>of</strong> Lake Malawi.<br />

Journal <strong>of</strong> Fish Biology, 10, 385-398.


195<br />

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Resource use overlaps between <strong>the</strong> pair trawl and small-scale <strong>fisheries</strong> in <strong>the</strong><br />

sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi: preliminary results.<br />

Thomas Eddie Nyasulu<br />

Fisheries Research Unit, P. O. Box 27, Monkey Bay<br />

Abstract<br />

Since <strong>the</strong> development <strong>of</strong> <strong>the</strong> pair trawl fishery, <strong>the</strong>re has been a conflict between <strong>the</strong> small-scale and this fishery.<br />

This study assesses <strong>the</strong> abundance, species composition and size distribution <strong>of</strong> fish exploited by small-scale and<br />

pair trawl in Lake Malawi. Preliminary results have shown that pair trawlers appear to target some shallow-water<br />

fish species at small sizes. Fur<strong>the</strong>rmore, <strong>the</strong>re appears to be overlaps in <strong>the</strong> species harvested by pair trawl and<br />

small-scale <strong>fisheries</strong>.<br />

Introduction<br />

Lake Malawi, <strong>the</strong> sou<strong>the</strong>rnmost <strong>of</strong> <strong>the</strong> great <strong>lake</strong>s <strong>of</strong> Africa covers an area <strong>of</strong> about 30,800km 2 which ranks it ninth<br />

in order <strong>of</strong> size among <strong>the</strong> world’s <strong>lake</strong>s. Experimental bottom trawling in 1965 revealed <strong>the</strong> presence <strong>of</strong><br />

commercially exploitable stock <strong>of</strong> demersal fish, mostly cichlids (Turner 1975). In 1968 a commercial trawl fishery<br />

was initiated in <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi (Figure 1) in Areas A & B by Maldeco Fisheries Ltd. The pair<br />

trawl fishery was developed to eliminate <strong>the</strong> expensive winching machinery and by 1972, trawling started in Area B<br />

(Turner 1975). In <strong>the</strong> early 1970s, <strong>the</strong> pair trawl fishery realized a mean CPUE value <strong>of</strong> approximately 2 tons per<br />

day and a total <strong>of</strong> 22 pair trawl units were, <strong>the</strong>n, licensed in this fishery (Jambo, in press). However, only five units<br />

presently operate in both sou<strong>the</strong>ast and southwest arms <strong>of</strong> <strong>the</strong> <strong>lake</strong> and present catch-effort data for <strong>the</strong> same area<br />

indicates that <strong>the</strong> CPUE is approaching 1 ton per day (Banda and Tomasson 1997). This decline in <strong>the</strong> number <strong>of</strong><br />

units in operation and <strong>the</strong> catch per unit effort suggests that <strong>the</strong> fishery is collapsing.<br />

The pair trawlers are restricted to fish in areas more than 20 metres deep and at least 1 nautical mile from <strong>the</strong> shore.<br />

This is similar to <strong>the</strong> area fished by <strong>the</strong> small-scale fishery and <strong>the</strong>re are indications that <strong>the</strong>re is competition<br />

between <strong>the</strong> pair-trawlers and <strong>the</strong> small-scale <strong>fisheries</strong> is over <strong>the</strong> fishing ground. Small-scale fishers operate using<br />

a variety <strong>of</strong> gears including open water seines, beach seines, gill nets and hook and line (Weyl et al. 2000). During<br />

<strong>the</strong> early days <strong>of</strong> operations, <strong>the</strong>re were no restrictions over <strong>the</strong> type <strong>of</strong> fishing gears to be used nei<strong>the</strong>r were <strong>the</strong>re<br />

any restrictions on any fishing activity until 1952 when a minimum <strong>of</strong> 102 mm mesh size for seine nets with <strong>the</strong><br />

headline length <strong>of</strong> greater than 274 metres was put in place (Lowe 1952). Presently most <strong>of</strong> <strong>the</strong> small-scale <strong>fisheries</strong><br />

involve traditional gears which operate manually while a few chilimira, kauni and gill netters use motorized boats.<br />

Chambo was <strong>the</strong> main species caught in <strong>the</strong> 1970s by both <strong>the</strong> commercial and <strong>the</strong> small-scale <strong>fisheries</strong>. The<br />

collapse <strong>of</strong> <strong>the</strong> chambo fishery in <strong>the</strong> sou<strong>the</strong>rn arms <strong>of</strong> Lake Malawi and Lake Malombe (Banda et al 1997, Weyl et<br />

al 1999) and <strong>the</strong> growing demand for fish by <strong>the</strong> growing Malawi population has aggravated some conflicts between<br />

pair-trawlers and <strong>the</strong> small-scale fishers, each sector accusing <strong>the</strong> o<strong>the</strong>r over <strong>the</strong> depletion <strong>of</strong> <strong>the</strong> fish stocks. This<br />

paper tries to look at <strong>the</strong> causes and effects <strong>of</strong> <strong>the</strong> conflicts and provide possible preliminary recommendations that<br />

would be applied to both fishing sectors. This survey was designed to determine if <strong>the</strong>re is any resource use<br />

overlaps between <strong>the</strong> small-scale and pair trawl fishery in <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi and attempt to<br />

determine <strong>the</strong> causes for <strong>the</strong> conflicts which exist between <strong>the</strong> pair trawl and small-scale <strong>fisheries</strong> over <strong>the</strong> <strong>fisheries</strong><br />

resources in <strong>the</strong> study area. It should however be noted that this study is in its initial phase and that results presented<br />

here are preliminary.<br />

Methods <strong>of</strong> data collection<br />

The survey was conducted in <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi (Figure 1) and small scale and pair trawl catches<br />

were sampled at Kela beach, Mpwepwe and Namiasi.Fish samples were collected from pair-trawlers and all smallscale<br />

fishermen to determine <strong>the</strong> species composition and size selectivity <strong>of</strong> <strong>the</strong> catches. A representative sample<br />

was taken from <strong>the</strong> total catch which was later sorted to <strong>the</strong> species level. Each species component in <strong>the</strong> sample<br />

was weighed and all fish in <strong>the</strong> sample were measured for total length to <strong>the</strong> nearest millimetre.


Figure 1. Map <strong>of</strong> <strong>the</strong> study sites in <strong>the</strong> sou<strong>the</strong>ast arm (SEA) <strong>of</strong> Lake Malawi.<br />

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Lake Malawi Fisheries Management Symposium - Proceedings<br />

Results and discussion<br />

The in both pair-trawl and small-scale <strong>fisheries</strong>, <strong>the</strong> species composition is multi-species and target species are<br />

determined by <strong>the</strong> mode <strong>of</strong> operation <strong>of</strong> <strong>the</strong> gear ra<strong>the</strong>r than by <strong>the</strong> preference <strong>of</strong> <strong>the</strong> fisher. More than 60 species<br />

were recorded from <strong>the</strong> small scale fishery and <strong>the</strong> pair trawl fishery. The genera comprising <strong>the</strong> majority <strong>of</strong> <strong>the</strong> pair<br />

trawl catch composition and <strong>the</strong>ir contribution to various small scale gears is shown in Table 1. It is evident that<br />

<strong>the</strong>re is considerable overlap in <strong>the</strong> genera harvested by <strong>the</strong> small-scale and pair-trawl <strong>fisheries</strong> (Table 1).<br />

Fur<strong>the</strong>rmore, a number <strong>of</strong> shallow water species, including Otopharynx argyrosoma, Nyassachromis argyrosoma,<br />

and Pseudotropheus livingstonii were recorded in pair trawl catches. This indicates that <strong>the</strong> 1-nautucal mile<br />

<strong>of</strong>fshore rule is not abided to by <strong>the</strong> pair-trawl <strong>fisheries</strong>.<br />

Table 1. Percent contribution <strong>of</strong> <strong>the</strong> genus Oreochromis, Nyassachromis, Ctenopharynx, Lethrinops,<br />

Otopharynx, Rhamphochromis and Copadichromis to <strong>the</strong> catch in <strong>the</strong> pair trawl fishery, gill net fishery,<br />

chilimira/kauni, hand line and beach seine fishery.<br />

Pair Trawl<br />

GN<br />

1-2 inch<br />

GN<br />

2-3 inch<br />

GN<br />

3inch +<br />

Chilimira Kauni Hand lines<br />

Beach<br />

seines<br />

Oreochromis 2.3 0.2 24.0 68.0 9.9 34.0 3.5 14.5<br />

Nyassachromis 4.0 0.0 15.2 0.0 0.0 0.0 0.0 0.0<br />

Ctenopharynx 5.9 0.0 0.0 0.0 0.0 0.0 0.0 0.0<br />

Lethrinops 8.3 3.4 2.7 0.0 0.0 0.2 2.6 11.2<br />

Otopharynx 12.9 1.8 0.0 0.0 1.5 0.0 18.5 8.2<br />

Rhamphochromis 17.1 2.5 0.0 2.7 42.5 37.0 13.3 5.7<br />

Copadichromis 21.3 70.2 14.8 0.0 25.0 5.0 4.1 12.2<br />

Table 1 shows that <strong>the</strong> main areas <strong>of</strong> overlap between <strong>the</strong> pair trawl and <strong>the</strong> small scale fishery are in <strong>the</strong> genus<br />

Oreochromis, Rhamphochromis and Copadichromis. While Oreochromis was not a major component <strong>of</strong> <strong>the</strong> pair<br />

trawl catch (


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different length sizes within <strong>the</strong> range <strong>of</strong> 110 cm and 230 cm. From Figure 2 it is clear that a high proportion <strong>of</strong><br />

Rhamphochromis spp. caught by <strong>the</strong> pair-trawlers were immature (Figure 2). In <strong>the</strong> small-scale fishery, on <strong>the</strong> o<strong>the</strong>r<br />

hand, a large proportion <strong>of</strong> <strong>the</strong> catch was mature. In <strong>the</strong> gill net fishery almost all <strong>the</strong> fish caught were mature. The<br />

chilimira kauni and <strong>the</strong> beach seine <strong>fisheries</strong> on <strong>the</strong> o<strong>the</strong>r hand appear to target smaller Rhamphochromis. Although,<br />

greater amounts <strong>of</strong> <strong>the</strong> fish caught in <strong>the</strong> chilimira/kauni fishery are mature, <strong>the</strong>re is also a considerable amount <strong>of</strong><br />

immature fish in <strong>the</strong> catch. This contrasts with <strong>the</strong> pair-trawl fishery in which immature individuals dominated <strong>the</strong><br />

catch. It is <strong>the</strong>refore evident that <strong>the</strong>re is very high competition for this resource between <strong>the</strong> two fishing sectors,<br />

both for <strong>the</strong> mature and <strong>the</strong> immature fish.<br />

Pair Trawl<br />

Frequency<br />

250<br />

200<br />

150<br />

100<br />

50<br />

0<br />

20 50 80 110 140 170 200 230 260 290 320 350 380 410 440<br />

Total length (mm)<br />

Chilimira/kauni<br />

Frequency<br />

Frequency<br />

1500<br />

1000<br />

500<br />

0<br />

20 50 80 110 140 170 200 230 260 290 320 350 380 410 440<br />

Total length (mm)<br />

Gill net<br />

30<br />

25<br />

20<br />

15<br />

10<br />

5<br />

0<br />

20 50 80 110 140 170 200 230 260 290 320 350 380 410 440<br />

Total length (mm)<br />

Beach seine<br />

Frequency<br />

20<br />

15<br />

10<br />

5<br />

0<br />

20 50 80 110 140 170 200 230 260 290 320 350 380 410 440<br />

Total length (mm)<br />

Figure 2. Length frequency <strong>of</strong> Rhamphochromis spp., in <strong>the</strong> pair trawl, chilimira/kauni, gill net and beach<br />

seine <strong>fisheries</strong> <strong>of</strong> <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi.


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Copadichromis virginalis matures at lengths <strong>of</strong> 10.6 cm. This species is one <strong>of</strong> <strong>the</strong> most abundant and economically<br />

important fish in <strong>the</strong> <strong>lake</strong>. This fish is by most fishing gear and <strong>the</strong>re appears to be a degree <strong>of</strong> user overlap in this<br />

resource. Copadichromis virginalis are harvested by <strong>the</strong> pair trawl fishery before maturity and <strong>the</strong>re was only small<br />

contribution <strong>of</strong> mature individuals to <strong>the</strong> total catch (Figure 3). The situation, in general, differs from chilimira/kauni<br />

fishery where most <strong>of</strong> <strong>the</strong> fish caught were mature (Figure 3). Gill nets are selective for mature individuals and most<br />

<strong>of</strong> <strong>the</strong> catch is dominated by fish that range between 115 mm and 140 mm (Figure 3). However, not all <strong>the</strong> fish<br />

found in gill nets are mature since <strong>the</strong>re some evidence <strong>of</strong> fish which were less than 106 mm. This shows that both<br />

fishing sectors harvest a wide length-range <strong>of</strong> C. virginalis <strong>the</strong>re is high competition between <strong>the</strong>se two fishing<br />

sectors for Copadichromis virginalis.<br />

Pair Trawl<br />

Frequency<br />

250<br />

200<br />

150<br />

100<br />

50<br />

0<br />

Chilimira/kauni<br />

Frequency<br />

20 40 60 80 100 120 140<br />

Total length (mm)<br />

600<br />

500<br />

400<br />

300<br />

200<br />

100<br />

0<br />

20 40 60 80 100 120 140<br />

Total length (mm)<br />

Gill net<br />

Frequency<br />

1500<br />

1000<br />

500<br />

Nkacha<br />

Frequency<br />

0<br />

20 40 60 80 100 120 140<br />

Total length (mm)<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

20 40 60 80 100 120 140<br />

Total length (mm)<br />

Figure 2. Length frequency <strong>of</strong> Copadichromis virginalis in <strong>the</strong> pair trawl, chilimira/kauni, gill net and<br />

nkacha net <strong>fisheries</strong> <strong>of</strong> <strong>the</strong> sou<strong>the</strong>ast arm <strong>of</strong> Lake Malawi.


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Conclusions and recommendations<br />

These preliminary results have indicated that <strong>the</strong>re is some evidence <strong>of</strong> an overlap for some species between pair<br />

trawl and small-scale <strong>fisheries</strong>. This has been due to <strong>the</strong> fact that both <strong>fisheries</strong> fish in water less that 50 m deep.<br />

While pair trawlers are licensed and bound by <strong>the</strong> regulation to fish in areas that are at least 1 nautical mile <strong>of</strong>fshore<br />

and deeper than 18 meters, <strong>the</strong> presence <strong>of</strong> shallow-water species like Otopharynx argyrosoma, Nyassachromis<br />

argyrosoma and Pseudotropheus spp. shows that chances are very high that <strong>the</strong> pair-trawl fishery operates in waters<br />

shallower than 20 meters and closer than one nautical mile from shore.<br />

While <strong>the</strong> catch compositions in small-scale gears such as chilimira/kauni and gill nets have shown that most <strong>of</strong> <strong>the</strong><br />

fish caught in <strong>the</strong>se <strong>fisheries</strong> are mature, juvenile fish predominate <strong>the</strong> catch in <strong>the</strong> pair-trawl fishery. In addition,<br />

juvenile cichlids, too small to be identified even down to <strong>the</strong> genus level, were also found in <strong>the</strong> catch sampled from<br />

<strong>the</strong> pair trawlers at Namiasi fish landing site. This composition contributed to about 2% <strong>of</strong> <strong>the</strong> total catch sampled<br />

from two fishing units from <strong>the</strong> Namiasi landing site. A different scenario became evident from Mpwepwe where<br />

<strong>the</strong> unit belongs to <strong>the</strong> Fisheries Department. All fish collected from this pair-trawl unit were comparatively large<br />

and approximated <strong>the</strong> size at maturity for individual species. While pair-trawlers are bound by <strong>the</strong> regulation to use<br />

a 38 mm mesh at <strong>the</strong> bunt, <strong>the</strong> presence <strong>of</strong> juvenile fish from <strong>the</strong>se private-owned units from Namiasi indicates that<br />

<strong>the</strong>se pair-trawlers use very small meshed bunts for <strong>the</strong>ir trawl nets.<br />

It is <strong>the</strong>refore imperative that <strong>the</strong>re is a strong need for some <strong>management</strong> efforts to be put in place for <strong>the</strong> pair-trawl<br />

fishery before <strong>the</strong> situation gets out <strong>of</strong> hand. Some <strong>of</strong> <strong>the</strong> many <strong>management</strong> efforts required for <strong>the</strong> fishery are to<br />

enforce <strong>the</strong> 1-nautical mile/18m depth limitation <strong>of</strong> <strong>the</strong> gear and to enforce <strong>the</strong> 38mm minimum mesh size for pairtrawlers.<br />

Acknowledgements.<br />

This Programme was funded by <strong>the</strong> Department <strong>of</strong> Fisheries and NARMAP. Thanks to my fellow researchers,<br />

M<strong>of</strong>fat Manase, Richard Sipawe and Jacqueline Chisambo for jointly using part <strong>of</strong> <strong>the</strong>ir data.<br />

References<br />

Banda, M., and Tomasson, T., 1997. Demersal fish stocks in Sou<strong>the</strong>rn Lake Malawi: Stock Assessment and<br />

Exploitation. Fisheries Department <strong>of</strong> Malawi, Bulletin No. 35, pp 39.<br />

Eccles, D. H., and Trewavas, E., 1989. Malawi Cichlid fishes. The classification <strong>of</strong> some Haplochromine genera.<br />

Herten (W. Germany), Lake Fish Movies, pp335.<br />

Jambo, C. M. (in press). Commercial and artisanal <strong>fisheries</strong> in Lake Malawi: Who is to blame for <strong>the</strong> declining<br />

catches?<br />

Lowe, R. H. 1952. Report on <strong>the</strong> Tilapia and o<strong>the</strong>r fish and fishes <strong>of</strong> Lake Nyasa1945-47, Part 11. London, HMSO,<br />

Colonial Office Fisheries Publ. 1(12), pp126.<br />

Turner, G. F. 1992. The mechanised <strong>fisheries</strong> <strong>of</strong> Lake Malawi. FI:DP/MLW/86/013 Field Document 23.FAO, Rome,<br />

24pp.<br />

Turner, J. L. 1975. Some effects <strong>of</strong> demersal trawling in Lake Malawi (Lake Nyasa) from 1968 to 1974.<br />

Weyl, O. L. F., Banda M. C., Manase, M., Namoto, W., Mwenekibombwe, L. H., 1999. Analysis <strong>of</strong> Catch and<br />

Effort Data for <strong>the</strong> Fisheries <strong>of</strong> Lake Malawi.


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Population biology <strong>of</strong> <strong>the</strong> catfish Bagrus meridionalis from <strong>the</strong> sou<strong>the</strong>rn part <strong>of</strong><br />

Lake Malawi.<br />

Moses Banda<br />

Fisheries Research Unit, P.O. Box 27, Monkey Bay, MALAWI-AFRICA. Tel. 265-587-432, E-mail: fru@<strong>malawi</strong>.net<br />

Abstract<br />

The study investigated <strong>the</strong> endemic catfish, Bagrus meridionalis <strong>of</strong> Lake Malawi in order to understand <strong>the</strong>ir ecological relations,<br />

distribution, abundance and life history. The catfish are <strong>the</strong> second most important group <strong>of</strong> targeted species in Lake Malawi’s<br />

<strong>fisheries</strong>. Surveys were done using <strong>the</strong> research vessel, Ndunduma, using a bottom and mid-water trawl from June 1994 to March<br />

1996. The <strong>management</strong> implications <strong>of</strong> <strong>the</strong> ecology in relation to development <strong>of</strong> <strong>the</strong> deep trawl fishery are discussed.<br />

Key words: Catfish, ecology, distribution, abundance, life history, Lake Malawi.<br />

Introduction<br />

The demersal catfish Bagrus meridionalis (Gün<strong>the</strong>r) (local name: kampango), is <strong>the</strong> only bagrid species that occurs<br />

in Lake Malawi. It is one <strong>of</strong> <strong>the</strong> large fish species found in <strong>the</strong> <strong>lake</strong> and is a predator endemic to <strong>the</strong> <strong>lake</strong> and feeds<br />

mainly on small <strong>lake</strong> demersal cichlids. B. meridionalis is one <strong>of</strong> <strong>the</strong> most common and widely distributed species in<br />

<strong>the</strong> <strong>lake</strong>, and inhabits a variety <strong>of</strong> habitats (Jackson et al. 1963).<br />

B. meridionalis is important commercially and is valued as a food fish by <strong>the</strong> rural community. It is caught mainly<br />

by gillnets and long lines in <strong>the</strong> small-scale commercial <strong>fisheries</strong> and by bottom trawlers in <strong>the</strong> large commercial<br />

<strong>fisheries</strong> (Jackson et al. 1963, Tweddle 1982, Sipawe 2001). The small-scale <strong>fisheries</strong> operate mainly in waters<br />

shallower than 20 m and <strong>the</strong> large-scale commercial <strong>fisheries</strong> operate in deeper water (Alimoso 1989). The mean<br />

total annual landings are about 1300 tonnes representing approximately 2.5 % <strong>of</strong> <strong>the</strong> mean annual total fish catch in<br />

Malawi for <strong>the</strong> past decade (Banda 2000).<br />

While several authors have described some aspects <strong>of</strong> its biology, previous studies have focused mainly on feeding<br />

(Jackson et al. 1963, McKaye 1986, LoVullo et al. 1992) and reproductive biology (Jackson et al. 1963, Tweddle<br />

1982, FAO 1976, McKaye 1985, LoVullo et al. 1992, McKaye et al. 1992). Three notable exceptions have looked at<br />

<strong>the</strong> age and growth (Tweddle 1975, Roberts 1990, LoVullo et al. 1992). However, no full account <strong>of</strong> <strong>the</strong> biology and<br />

ecology <strong>of</strong> Kampango in a single area has been published.<br />

This study provided information on <strong>the</strong> distribution and biology <strong>of</strong> <strong>the</strong> Kampango around <strong>the</strong> sou<strong>the</strong>rn part <strong>of</strong> Lake<br />

Malawi, which is under ever-increasing pressure from both <strong>the</strong> small- and <strong>the</strong> large-scale commercial <strong>fisheries</strong>. The<br />

paper contributes to <strong>the</strong> knowledge <strong>of</strong> <strong>the</strong> life history <strong>of</strong> Bagrus, and may be <strong>of</strong> great importance to <strong>the</strong> assessment<br />

and implementation <strong>of</strong> <strong>the</strong> <strong>management</strong> plan for <strong>the</strong> sustainable use <strong>of</strong> <strong>the</strong> deep-water fishery, which is rapidly<br />

expanding.<br />

Materials and methods<br />

The data in this study were collected during <strong>the</strong> stock assessment and biological surveys, from June 1994 to July<br />

1996, carried out in <strong>the</strong> sou<strong>the</strong>ast arm (SEA) and southwest arm (SWA) <strong>of</strong> Lake Malawi (Figure 1) by <strong>the</strong> Fisheries<br />

Department. Stock assessment surveys were done on a quarterly basis and were designed to monitor changes taking<br />

place in <strong>the</strong> SEA and SWA, <strong>the</strong> heavily exploited areas, whilst biological surveys were done in between <strong>the</strong> stock<br />

assessment surveys to provide additional information on <strong>the</strong> reproduction <strong>of</strong> <strong>the</strong> fish. The 17 m long Fisheries<br />

Department research vessel, Ndunduma powered with a 380 hp engine which pulls a Gulloppur bottom trawl net<br />

with a 23 m headrope and a 38 mm mesh cod end was used. The effective mesh size in <strong>the</strong> cod end was 4 mm due to<br />

<strong>the</strong> net liner used to ensure that escape through <strong>the</strong> meshes was minimal.<br />

Eight stock assessment surveys were done and during each survey a total <strong>of</strong> 97 fixed trawl stations (54 in <strong>the</strong> SEA<br />

and 43 in SWA) were sampled. The stations were stratified into shallow 0-50 m, deep 50-100 m and very deep 100-<br />

150 m. Each trawl lasted for 30 minutes. Twelve additional surveys were done in between <strong>the</strong> quarterly surveys and<br />

29 stations were sampled in each survey in <strong>the</strong> same depth ranges. The duration <strong>of</strong> each pull varied between 30-120<br />

minutes in order to obtain a large sample. All trawling was done during <strong>the</strong> day at depths between 10 and 150m<br />

depth. It was not possible to sample in water less than 10 m deep because <strong>of</strong> restrictions imposed by <strong>the</strong> draught <strong>of</strong><br />

<strong>the</strong> vessel.


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B. meridionalis were sorted out from <strong>the</strong> main catch which was always composed <strong>of</strong> many small cichlids and some<br />

larger fish. Each <strong>of</strong> <strong>the</strong>m was measured on board <strong>the</strong> vessel to <strong>the</strong> nearest 0.5 cm (total length) and most fish were<br />

weighed to <strong>the</strong> nearest 0.01 kg and those that were not weighed individually were collectively weighed as a species<br />

group to <strong>the</strong> nearest 0.1 kg.<br />

Figure 1. Map <strong>of</strong> sou<strong>the</strong>rn <strong>of</strong> Lake Malawi showing <strong>the</strong> sampling stations used in <strong>the</strong> monitoring<br />

surveys.<br />

Sex was determined after dissection and, in some cases <strong>the</strong> gonads were removed and weighed to <strong>the</strong> nearest 0.1g.<br />

The state <strong>of</strong> sexual maturity was assessed by <strong>the</strong> Nikolsky (1963) method, based on <strong>the</strong> external appearance <strong>of</strong> <strong>the</strong><br />

gonads. The average length at first maturity was estimated by using <strong>the</strong> logistic equation:<br />

p= 1/(1 + e -r(L-Lm) )<br />

where p = <strong>the</strong> proportion <strong>of</strong> fish with ripe gonads, r = <strong>the</strong> slope <strong>of</strong> <strong>the</strong> curve, L = <strong>the</strong> length <strong>of</strong> fish and Lm = <strong>the</strong><br />

mean length at 50% maturity.<br />

The catch per unit effort (C/f) assumed as index <strong>of</strong> abundance was expressed as:<br />

Results<br />

-14.4 -14.2 -14.0 -13.8<br />

Latitude<br />

34.60 34.75 34.90<br />

Longitude<br />

35.05 35.20<br />

C/f = catch (kg) /swept area (ha).<br />

Distribution and relative abundance<br />

The distribution and abundance <strong>of</strong> <strong>the</strong> total number <strong>of</strong> individuals caught during <strong>the</strong> stock assessment surveys are<br />

shown in Figure 2. B. meridionalis was widespread, being found at each station, in both arms. The mean biomass <strong>of</strong><br />

B. meridionalis from <strong>the</strong> SEA and SWA were 4.8 and 4.0 kg ha -1 respectively and <strong>the</strong> mean biomass from <strong>the</strong> former<br />

was significantly different (t-test, p < 0.05) from <strong>the</strong> latter. The mean biomass decreased with increasing depth and<br />

it was not significantly different in <strong>the</strong> 0-50 and 51-100 m depth strata, but <strong>the</strong> average biomass in <strong>the</strong> > 100 m<br />

depth strata was significantly (t-test, p < 0.05) lower in both arms (Table 1). There was no significant difference<br />

between biomass values in different surveys (t-test, p < 0.05) (Table 2).<br />

Size structure<br />

The length-frequency distributions <strong>of</strong> <strong>the</strong> Bagrus in different depth strata in both SEA and SWA were generally<br />

unimodal with few at fish < 5.0 cm (Figures 3-6). This absence was not attributed to net selectivity because <strong>the</strong> cod<br />

end was covered with a liner, which retained small cichlids <strong>of</strong> about 1.0 cm. B. meridionalis ranged from 4.5 cm to<br />

105 cm TL with single modes which varied with depth. The smaller size- classes generally dominated and showed<br />

asymmetrical distribution, particularly in waters deeper than 50m. In contrast, bimodal distribution patterns were<br />

noticeable in 0-20 m depth range, especially in <strong>the</strong> SEA indicating <strong>the</strong> presence <strong>of</strong> two distinct sizes <strong>of</strong> fish, small<br />

and large (Figures 7-10). The mean length decreased with increasing depth and many large individuals were caught<br />

SEA


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in shallower water (< 20 m) in both arms (Figures 3-6). Females were significantly larger (t-test, p < 0.05) than<br />

males in both arms and also fish (both sexes) caught in <strong>the</strong> SEA were generally larger than those from <strong>the</strong> SWA<br />

(Table 3).<br />

Sex ratios<br />

The sex ratio, based on all Kampango sampled, did not deviate from 1:1 ratio (Table 4). Similarly, <strong>the</strong> sexes were<br />

equally represented in all depth strata except in shallow water <strong>of</strong> <strong>the</strong> SWA in which <strong>the</strong>re were significantly more<br />

males (χ 2 –test, p < 0.05) than females. Sex ratios grouped into 5-cm length classes varied within <strong>the</strong> length intervals<br />

and in some cases <strong>the</strong>re were significant departures (χ 2 –test, p < 0.05) from <strong>the</strong> 1:1 ratio (Table 5). Males<br />

predominated in all <strong>the</strong> small size intervals and female in <strong>the</strong> large size intervals.<br />

Table 1. The mean biomass (kg ha -1 ) and density (number per unit area) with standard error (s.e.) <strong>of</strong><br />

Bagrus meridionalis in <strong>the</strong> sou<strong>the</strong>rn part <strong>of</strong> Lake Malawi, June 1994 – March 1996.<br />

Area Depth (m) Biomass Density<br />

Mean s.e. Mean s.e.<br />

SEA 0-50 4.90 (1.47) 5 (2.03)<br />

50-100 5.40 (1.50) 11 (2.74)<br />

>100 2.20 (1.63) 5 (5.24)<br />

0-150 4.80 (0.98) 8 (1.77)<br />

SWA 0-50 5.20 (1.84) 8 (4.13)<br />

50-100 4.40 (1.34) 16 (4.82)<br />

>100 1.20 (0.72) 5 (3.70)<br />

0-150 4.00 (1.01) 11 (2.96)<br />

Table 2. The mean biomass (kg ha -1 ) with standard error (in brackets) <strong>of</strong> Bagrus meridionalis in <strong>the</strong><br />

sou<strong>the</strong>rn part <strong>of</strong> Lake Malawi during <strong>the</strong> quarterly surveys, June 1994 – March 1996.<br />

SEA SWA<br />

Surveys Biomass s.e. Biomass s.e.<br />

1 22.1 (2.16) 15.5 (2.33)<br />

2 26.9 (2.90) 21.1 (3.00)<br />

3 21.2 (2.56) 25.3 (3.93)<br />

4 25.1 (2.70) 24.2 (2.87)<br />

5 31.6 (3.53) 19.1 (2.51)<br />

6 23.3 (2.36) 25.1 (2.92)<br />

7 22.2 (2.43) 15.6 (2.14)<br />

8 20.4 (3.09) 17.6 (2.73)


-30.8 -30.6 -30.4 -30.2 -30.0<br />

Latitude<br />

14.6 14.8 15.0<br />

Latitude<br />

Bagrus meridionalis<br />

CPUE (Kg/hr)<br />

54<br />

0<br />

21.9 22.0 22.1 22.2 22.3 22.4<br />

Longitude<br />

Bagrus meridionalis<br />

34.2 34.4 34.6<br />

Longitude<br />

34.8 35.0<br />

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CPUE (Kg/hr)<br />

Figure 2. The distribution <strong>of</strong> Bagrus meridionalis caught by trawling during monitoring surveys in <strong>the</strong><br />

south east arm (above)and south west arm (below) <strong>of</strong> Lake Malawi.<br />

Table 3. The mean length (cm TL) with standard error <strong>of</strong> Bagrus meridionalis in <strong>the</strong> sou<strong>the</strong>rn part <strong>of</strong> Lake<br />

Malawi during <strong>the</strong> quarterly surveys, June 1994 – March 1996.<br />

Area Sex Mean s.e Total<br />

SEA Male 34.2 0.13 7582<br />

Female 38.4 0.18 7708<br />

both sexes 36.4 0.11 15290<br />

SWA Male 30.0 0.11 9002<br />

Female 31.3 0.15 8753<br />

both sexes 30.5 0.09 17753<br />

148<br />

0


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Table 4. The ratio <strong>of</strong> males to females in relation to area <strong>of</strong> Bagrus in <strong>the</strong> sou<strong>the</strong>rn part <strong>of</strong> Lake Malawi. *<br />

denote values that are significantly different (χ 2 –test, p < 0.05) from a 1:1 ratio. N = number <strong>of</strong> fish<br />

examined.<br />

Area Depth (m) Ratio<br />

SEA & SWA 0-150 1.0<br />

SEA 0-50 1.0<br />

Table 5. The ratio <strong>of</strong> males to females in relation to size (20 cm size classes) <strong>of</strong> Bagrus in <strong>the</strong> sou<strong>the</strong>rn<br />

part <strong>of</strong> Lake Malawi. Asterisks denote values that are significantly different (χ 2 –test, p < 0.05) from a 1:1<br />

ratio. N = number <strong>of</strong> fish examined.<br />

Depth (m)<br />

SEA SWA<br />

Length class (m) 0-50 51-100 >100 0-50 51-100 >100<br />

0-20 1.1 1.1 1.0 1.5* 0.9 1.0<br />

21-40 1.2* 1.1* 1.0 1.1* 1.0* 0.9<br />

41-60 1.3* 0.9* 0.7 1.5* 0.8* 0.4<br />

61-80 0.1* 0.1* 0.5 0.2* 0.1* 0.4<br />

81-100 0.1*<br />

Length-weight relationships<br />

The length-weight relationships <strong>of</strong> Bagrus indicated that <strong>the</strong> growth is isometric i.e. <strong>the</strong> body length <strong>of</strong> an individual<br />

fish grows in proportion to <strong>the</strong> cubic root <strong>of</strong> its body weight. The relationship between log total length and log<br />

weight is:<br />

Log10W = – 5.13 + 3.04*Log10L.<br />

51-100 1.0<br />

>100 1.0<br />

SWA 0-50 1.1*<br />

51-100 1.0<br />

>100 0.9<br />

Reproductive patterns<br />

The breeding periodicity <strong>of</strong> Kampango is shown in Figure 11. Ripe individuals were found throughout <strong>the</strong> year<br />

indicating that continuous breeding occurs, although <strong>the</strong>re was a considerable seasonal variation in <strong>the</strong> proportion <strong>of</strong><br />

adult fish with ripe gonads. The breeding peak, which was between November and December, coincided with <strong>the</strong><br />

rainy season. Breeding individuals were recorded at all depths, but <strong>the</strong> species appear to prefer shallow water (< 50<br />

m) (Table 6). Bagrus meridionalis reached sexual maturity at 52 cm TL in females and 43.8 cm TL in males in <strong>the</strong><br />

sou<strong>the</strong>rn part <strong>of</strong> Lake Malawi and <strong>the</strong> difference between sexes were significant (χ 2 -test, p < 0.05) (Figure 12).<br />

Table 6. The percentage <strong>of</strong> ripe Bagrus in relation to depth in Lake Malawi. N = number <strong>of</strong> fish examined.<br />

Area N 0-50 51-100 >100 m<br />

SEA 3403 77.4 22.3 0.3<br />

SWA 2292 78.1 21.6 0.3


Percent<br />

20.0<br />

18.0<br />

16.0<br />

14.0<br />

12.0<br />

10.0<br />

8.0<br />

Percent (a) Shallow water (0-50 m)<br />

6.0<br />

4.0<br />

2.0<br />

0.0<br />

10 20 30 40 50 60 70 80 90 100<br />

Total length (cm)<br />

(b) Deep water (51-100 m)<br />

25.0<br />

20.0<br />

15.0<br />

10.0<br />

5.0<br />

0.0<br />

40.0<br />

35.0<br />

30.0<br />

25.0<br />

20.0<br />

15.0<br />

10.0<br />

5.0<br />

0.0<br />

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N = 2131<br />

x = 39.9 cm<br />

s.e. = 0.25<br />

N = 4535<br />

x = 33.0 cm<br />

s.e. = 0.14<br />

10 20 30 40 50 60 70 80 90 100<br />

Total length (cm)<br />

Percent (c) Very deep water (> 100 m)<br />

N = 916<br />

x = 27.0 cm<br />

s.e. = 0.31<br />

10 20 30 40 50 60 70 80 90 100<br />

Total length (cm)<br />

Figure 3. The length-frequency distribution <strong>of</strong> male Bagrus meridionalis in <strong>the</strong> south east arm <strong>of</strong> Lake<br />

Malawi collected between June 1994 and March 1996. All mean length numbers (x) are significantly<br />

different (t-test, p < 0.05).


Percent<br />

Percent<br />

(a) Shallow water (0-50 m)<br />

12.0<br />

10.0<br />

8.0<br />

6.0<br />

4.0<br />

2.0<br />

0.0<br />

10 20 30 40 50 60 70 80 90 100<br />

Total length (cm)<br />

(b) Deep water (51-100 m)<br />

18.0<br />

16.0<br />

14.0<br />

12.0<br />

10.0<br />

8.0<br />

6.0<br />

4.0<br />

2.0<br />

0.0<br />

35.0<br />

30.0<br />

25.0<br />

20.0<br />

15.0<br />

10.0<br />

5.0<br />

0.0<br />

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N = 2147<br />

x = 46.5 cm<br />

s.e. = 0.38<br />

N = 4572<br />

x = 36.7 cm<br />

s.e. = 0.20<br />

10 20 30 40 50 60 70 80 90 100<br />

Total length (cm)<br />

Percent (c) Very deep water (> 100 m)<br />

N = 989<br />

x = 28.5 cm<br />

s.e. = 0.34<br />

10 20 30 40 50 60 70 80 90 100<br />

Total length (cm)<br />

Figure 4. The length-frequency distribution <strong>of</strong> female Bagrus meridionalis in <strong>the</strong> south east arm <strong>of</strong> Lake<br />

Malawi collected between June 1994 and March 1996. All mean length numbers (x) are significantly<br />

different (t-test, p < 0.05).


Percent<br />

20.0<br />

18.0<br />

16.0<br />

14.0<br />

12.0<br />

10.0<br />

8.0<br />

Percent (a) Shallow water (0-50 m)<br />

6.0<br />

4.0<br />

2.0<br />

0.0<br />

10 20 30 40 50 60 70 80 90 100<br />

Total length (cm)<br />

(b) Deep water (51-100 m)<br />

25.0<br />

20.0<br />

15.0<br />

10.0<br />

5.0<br />

0.0<br />

40.0<br />

35.0<br />

30.0<br />

25.0<br />

20.0<br />

15.0<br />

10.0<br />

5.0<br />

0.0<br />

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N = 3046<br />

x = 35.2 cm<br />

s.e. = 0.21<br />

N = 5229<br />

x = 27.6 cm<br />

s.e. = 0.12<br />

10 20 30 40 50 60 70 80 90 100<br />

Total length (cm)<br />

Percent (c) Very deep water (> 100 m)<br />

N = 725<br />

x = 26.0 cm<br />

s.e. = 0.34<br />

10 20 30 40 50 60 70 80 90 100<br />

Total length (cm)<br />

Figure 5. The length-frequency distribution <strong>of</strong> male Bagrus meridionalis in <strong>the</strong> south west arm <strong>of</strong> Lake<br />

Malawi collected between June 1994 and March 1996. All mean length numbers (x) are significantly<br />

different (t-test, p < 0.05).


Percent<br />

Percent<br />

(a) Shallow water (0-50 m)<br />

20.0<br />

18.0<br />

16.0<br />

14.0<br />

12.0<br />

10.0<br />

8.0<br />

6.0<br />

4.0<br />

2.0<br />

0.0<br />

10 20 30 40 50 60 70 80 90 100<br />

Total length (cm)<br />

(b) Deep water (51-100 m)<br />

35.0<br />

30.0<br />

25.0<br />

20.0<br />

15.0<br />

10.0<br />

5.0<br />

0.0<br />

35.0<br />

30.0<br />

25.0<br />

20.0<br />

15.0<br />

10.0<br />

5.0<br />

0.0<br />

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N = 2630<br />

x = 37.9 cm<br />

s.e. = 0.31<br />

N = 5350<br />

x = 28.6 cm<br />

s.e. = 0.16<br />

10 20 30 40 50 60 70 80 90 100<br />

Total length (cm)<br />

Percent (c) Very deep water (> 100 m)<br />

N = 773<br />

x = 27.1 cm<br />

s.e. = 0.41<br />

10 20 30 40 50 60 70 80 90 100<br />

Total length (cm)<br />

Figure 6. The length-frequency distribution <strong>of</strong> female Bagrus meridionalis in <strong>the</strong> south west arm <strong>of</strong> Lake<br />

Malawi collected between June 1994 and March 1996. All mean length numbers (x) are significantly<br />

different (t-test, p < 0.05).


Percent<br />

Percent<br />

(a) Shallow water (0-20 m)<br />

35.0<br />

30.0<br />

25.0<br />

20.0<br />

15.0<br />

10.0<br />

5.0<br />

0.0<br />

10 20 30 40 50 60 70 80 90 100<br />

Total length (cm)<br />

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N = 368<br />

x = 42.4 cm<br />

s.e. = 0.76<br />

(b) Deep water (21-50 m)<br />

20.0<br />

18.0<br />

N = 1763<br />

16.0<br />

x = 39.4 cm<br />

14.0<br />

12.0<br />

10.0<br />

8.0<br />

6.0<br />

4.0<br />

2.0<br />

0.0<br />

s.e. = 0.26<br />

10 20 30 40 50 60 70 80 90 100<br />

Total length (cm)<br />

Figure 7. The length-frequency distribution <strong>of</strong> male Bagrus meridionalis in <strong>the</strong> south east arm <strong>of</strong> Lake<br />

Malawi collected between June 1994 and March 1996. All mean length numbers (x) are significantly<br />

different (t-test, p < 0.05).<br />

Percent<br />

Percent<br />

(a) Shallow water (0-20 m)<br />

16.0<br />

14.0<br />

12.0<br />

10.0<br />

8.0<br />

6.0<br />

4.0<br />

2.0<br />

0.0<br />

14.0<br />

12.0<br />

10.0<br />

8.0<br />

6.0<br />

4.0<br />

2.0<br />

0.0<br />

N = 359<br />

x = 53.6 cm<br />

s.e. = 1.09<br />

10 20 30 40 50 60 70 80 90 100<br />

Total length (cm)<br />

(b) Deep water (21-50 m)<br />

N = 1788<br />

x = 45.1 cm<br />

s.e. = 0.40<br />

10 20 30 40 50 60 70 80 90 100<br />

Total length (cm)<br />

Figure 8. The length-frequency distribution <strong>of</strong> female Bagrus meridionalis in <strong>the</strong> south east arm <strong>of</strong> Lake<br />

Malawi collected between June 1994 and March 1996. All mean length numbers (x) are significantly<br />

different (t-test, p < 0.05).


Percent<br />

Percent<br />

(a) Shallow water (0-20 m)<br />

25.0<br />

20.0<br />

15.0<br />

10.0<br />

5.0<br />

0.0<br />

10 20 30 40 50 60 70 80 90 100<br />

Total length (cm)<br />

(b) Deep water (21-50 m)<br />

25.0<br />

20.0<br />

15.0<br />

10.0<br />

5.0<br />

0.0<br />

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Lake Malawi Fisheries Management Symposium - Proceedings<br />

N = 576<br />

x = 38.9 cm<br />

s.e. = 0.55<br />

N = 2470<br />

x = 34.3 cm<br />

s.e. = 0.22<br />

10 20 30 40 50 60 70 80 90 100<br />

Total length (cm)<br />

Figure 9. The length-frequency distribution <strong>of</strong> male Bagrus meridionalis in <strong>the</strong> south west arm <strong>of</strong> Lake<br />

Malawi collected between June 1994 and March 1996. All mean length numbers (x) are significantly<br />

different (t-test, p < 0.05).<br />

Percent<br />

Percent<br />

(a) Shallow water (0-20 m)<br />

12.0<br />

10.0<br />

8.0<br />

6.0<br />

4.0<br />

2.0<br />

0.0<br />

14.0<br />

12.0<br />

10.0<br />

8.0<br />

6.0<br />

4.0<br />

2.0<br />

0.0<br />

N = 359<br />

x = 53.6 cm<br />

s.e. = 1.09<br />

10 20 30 40 50 60 70 80 90 100<br />

Total length (cm)<br />

(b) Deep water (21-50 m)<br />

N = 1788<br />

x = 45.1 cm<br />

s.e. = 0.40<br />

10 20 30 40 50 60 70 80 90 100<br />

Total length (cm)<br />

Figure 10. The length-frequency distribution <strong>of</strong> female Bagrus meridionalis in <strong>the</strong> south west arm <strong>of</strong> Lake<br />

Malawi collected between June 1994 and March 1996. All mean length numbers (x) are significantly<br />

different (t-test, p < 0.05).


% mature<br />

30.0<br />

25.0<br />

20.0<br />

15.0<br />

10.0<br />

5.0<br />

0.0<br />

J94 A94 O94 D94 F95 A95 J95 A95 O95 D95 F96 A96<br />

Months<br />

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Lake Malawi Fisheries Management Symposium - Proceedings<br />

% F %M<br />

Figure 11. Breeding periodicity <strong>of</strong> male and female Bagrus meridionalis in <strong>the</strong> sou<strong>the</strong>rn part <strong>of</strong> Lake<br />

Malawi. Samples were collected between June 1994 and April 1996.<br />

Proportion mature<br />

Proportion mature<br />

(a)<br />

0.80<br />

0.60<br />

0.40<br />

0.20<br />

0.00<br />

(b)<br />

0.80<br />

0.60<br />

0.40<br />

0.20<br />

0.00<br />

0 10 20 30 40<br />

Length (cm)<br />

50 60 70 80<br />

Observed Calculated<br />

0 20 40 60 80 100<br />

Length (cm)<br />

Observed Calculated<br />

Figure 12. The mean length at first maturity in (a) male and (b) female Bagrus meridionalis. (Lm = 43.8<br />

cm TL for males and 52.0 cm TL for females).


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Discussion<br />

Bagrus meridionalis were commonly caught in <strong>the</strong> bottom water trawl, which is consistent with previous studies<br />

(Turner 1982, Thompson et al. 1996). Depth is <strong>the</strong> most important factor determining its distribution. B.<br />

meridionalis were described as broadly eurytopic in <strong>the</strong>ir distribution patterns because <strong>the</strong>y have a wide<br />

geographical distribution and inhabit a variety <strong>of</strong> habitats (Figure 2). They can live in a wide range <strong>of</strong> conditions,<br />

<strong>of</strong>ten moving from one habitat to ano<strong>the</strong>r.<br />

The length-frequency distributions <strong>of</strong> B. meridionalis are ‘dome-shaped’, a phenomenon usually attributed to gearselectivity,<br />

in particular gillnets (Ricker 1975). In this case it is negated because <strong>the</strong> gear used in this study is almost<br />

non-selective (since <strong>the</strong> smallest specimen <strong>of</strong> Bagrus caught in this gear was about 4.5 cm TL). These distributions<br />

probably reflect <strong>the</strong> size gradation <strong>of</strong> Bagrus with depth in <strong>the</strong> <strong>lake</strong>. The absence <strong>of</strong> <strong>the</strong> smallest length classes <strong>of</strong><br />

Bagrus suggests that <strong>the</strong>y occur in water < 10 m deep or in areas where trawling was not possible. These small fish<br />

are being guarded in <strong>the</strong>ir nests, which are <strong>of</strong>ten situated adjacent to rocks (Jackson et al. 1963). The decrease in <strong>the</strong><br />

numbers <strong>of</strong> large fish in shallow waters may reflect high fishing pressure by <strong>the</strong> small-scale commercial <strong>fisheries</strong>.<br />

The bi-modal distribution Bagrus in < 0-20 m water depth range was attributed to gillnet fishery (Figures 7-10). The<br />

gillnet selectivity studies (Jackson et al. 1963, Tweddle 1975, Sipawe, 2001 in prep.) indicate that <strong>the</strong> gill-net<br />

selectivity peak is between 35-55 cm TL if all meshes are combined. Therefore, fish over 40 cm TL were less liable<br />

to be caught, and fish less than 35 cm TL more exposed to higher fishing mortality.<br />

There was size gradation with depth indicating that some zonation or restricted movement occurs (Figures 3-6). The<br />

presence <strong>of</strong> adults in shallow water (< 50 m) and juveniles in deeper water (> 50 m) may be a way <strong>of</strong> avoiding<br />

interspecific competition and cannibalism. The difference in mean length between fish caught in <strong>the</strong> SEA and SWA<br />

may be explained by <strong>the</strong> following: 1) <strong>the</strong> fish stocks <strong>of</strong> Kampango from <strong>the</strong> SEA is different from that <strong>of</strong> <strong>the</strong> SWA,<br />

and 2) <strong>the</strong>re is less competition <strong>of</strong> food resources in <strong>the</strong> SEA than SWA which perhaps promotes faster growth <strong>of</strong> B.<br />

meridionalis in <strong>the</strong> former. The numbers <strong>of</strong> fish per km 2 are 473 and 813 in <strong>the</strong> SEA and SWA, respectively. Fishing<br />

pressure is higher in <strong>the</strong> SEA than in <strong>the</strong> SWA if <strong>the</strong> number <strong>of</strong> fishing gear and fishermen are considered to be<br />

indicative <strong>of</strong> fishing mortality (Table 5). Similar fishing pressure could account for <strong>the</strong> reduced number <strong>of</strong> large fish<br />

in <strong>the</strong> 0-50 m depth stratum. The intensity <strong>of</strong> gillnet fishing pressure on <strong>the</strong> Kampango population structure is<br />

evident in Figures (7-10).<br />

B. meridionalis was most abundant in < 100 m water depth. The variation in abundance with depth reflected depth<br />

preferences and numbers. Size gradation indicates that <strong>the</strong>ir depth distribution was determined by depth preferences.<br />

The effect <strong>of</strong> numbers on estimates <strong>of</strong> abundance is clearly observed in this species where few large fish in <strong>the</strong> 0-50<br />

m depth range gave a similar estimate <strong>of</strong> biomass to that <strong>of</strong> many small fish in <strong>the</strong> 51-100 m depth range. The<br />

abundance <strong>of</strong> Bagrus throughout <strong>the</strong> study period was remarkably constant and <strong>the</strong>re was no evidence <strong>of</strong><br />

seasonality. This suggested that recruitment remained constant because its population structure was mainly<br />

composed <strong>of</strong> small individuals.<br />

The spatial distribution <strong>of</strong> <strong>the</strong> overall sexes was within <strong>the</strong> expected ratio. The sex ratio however, was different in<br />

shallow water (< 50 m) in <strong>the</strong> SWA and in <strong>the</strong> length classes and this discrepancy was mainly attributed to fishing<br />

pressure. Studies by Jackson et al., (1963) and Tweddle (1982) indicated that more females were caught in gillnets<br />

than males and <strong>the</strong> most vulnerable fish size was between 35-55 cm TL. This is confirmed by this study because<br />

61.3% (32.8% males, 28.5% females) <strong>of</strong> <strong>the</strong> 33052 fish examined were in <strong>the</strong> 35-55 cm TL range. The difference in<br />

sex ratio was also significant between 45-55 cm TL (Table 3). Females were fished more than <strong>the</strong> males probably<br />

because <strong>of</strong> <strong>the</strong>ir fast growth rate. The significant difference in sex ratios above 55 cm TL could be attributed to<br />

growth pattern. Males seemed not to grow as big as females.<br />

The main breeding period <strong>of</strong> Bagrus meridionalis occurred in <strong>the</strong> rainy season and <strong>the</strong> actual duration depends on<br />

<strong>the</strong> length <strong>of</strong> <strong>the</strong> rains, which is consistent with o<strong>the</strong>r studies (McKaye 1986: Jackson et al. 1963, Tweddle 1975,<br />

1982) and o<strong>the</strong>r bagrids (Dadzie and Ochieng-Okach 1989). The breeding peak coincided with <strong>the</strong> zooplankton<br />

production peak (Irvine 1995) that ensures that food is available for <strong>the</strong> young. Breeding occurred within <strong>the</strong> same<br />

depth range in which <strong>the</strong>y foraged (Table 6) which suggests that <strong>the</strong>re was no spawning migration (Banda, 2000).<br />

The inshore migration in spawning B. meridionalis (Jackson et al. 1963, Tweddle 1982) may reflect <strong>the</strong> need for<br />

breeding fish to find suiTable spawning sites.<br />

The length at first maturity differed in male and female B. meridionalis, with females maturing at a larger size,<br />

probably because <strong>of</strong> different growth rates between sexes. The results were similar to estimates by Eccles (1972),


213<br />

Lake Malawi Fisheries Management Symposium - Proceedings<br />

but not to those by Tweddle (1982) and Bernacsek et al., (1983). The difference in mean lengths could be explained<br />

by: 1) <strong>the</strong> difficulty in determining <strong>the</strong> gonadal stages, <strong>the</strong>reby erroneously including or excluding small fish in <strong>the</strong><br />

ripe category, 2) different stocks were studied and 3) <strong>the</strong> sample size was too small in <strong>the</strong> early studies as higher<br />

values were obtained by Eccles (1972) with a larger sample (1409) compared to Tweddle (1982) and Bernacsek et<br />

al. 1983 who examined about 200 and 170 specimens, respectively.<br />

Conclusion<br />

The present study indicates that fishing is having a major impact on <strong>the</strong> population structure <strong>of</strong> Bagrus. Different<br />

<strong>fisheries</strong> have different impact on <strong>the</strong> population. The selective cropping <strong>of</strong> certain length classes most <strong>of</strong> which are<br />

immature is carried out by small-scale commercial <strong>fisheries</strong> (gillnet fishery and longline fishery) in shallow water<br />

while unselective fishing is undertaken by trawlers in deep waters. The result is that both <strong>fisheries</strong> will invariably<br />

eliminate large fish species including B. meridionalis.<br />

B. meridionalis has maintained a substantial relative stable population especially in <strong>the</strong> sou<strong>the</strong>rn part <strong>of</strong> <strong>the</strong> <strong>lake</strong><br />

where both <strong>fisheries</strong> operate because <strong>the</strong> <strong>fisheries</strong> have been limited to coastal areas and <strong>the</strong> decline in large fish has<br />

always been compensated by improved recruitment and <strong>the</strong> fact that <strong>the</strong> nursery areas are in <strong>the</strong> less exploited deep<br />

water. The contention that <strong>the</strong> decline in <strong>the</strong> catches <strong>of</strong> B. meridionalis was caused by high fishing pressure on <strong>the</strong><br />

immature fish (FAO 1976, Fryer 1984, Alimoso 1989, Alimoso, et al. 1989) is not substantiated by <strong>the</strong>se studies<br />

because <strong>of</strong> <strong>the</strong>ir life history. Therefore, this decline may reflect <strong>the</strong> absence <strong>of</strong> certain length classes <strong>of</strong> fish as <strong>the</strong><br />

small-scale commercial <strong>fisheries</strong> are selective in nature. This raises a question as to whe<strong>the</strong>r <strong>the</strong> noted general<br />

decline in <strong>the</strong> catch is indicative <strong>of</strong> overfishing or gear selectivity. However, <strong>the</strong> population <strong>of</strong> Bagrus will definitely<br />

decline with <strong>the</strong> expansion <strong>of</strong> <strong>the</strong> expansion <strong>of</strong> <strong>the</strong> deep-water fishery and may lead to a collapse because both adults<br />

and juveniles will be vulnerable to exploitation.<br />

This size structure <strong>of</strong> Bagrus from <strong>the</strong> two arms indicates that <strong>the</strong> populations seem to be different which<br />

necessitates <strong>the</strong> establishment as to whe<strong>the</strong>r <strong>the</strong>se populations are indeed distinct fish stocks. Future research<br />

priorities should focus on mapping <strong>the</strong> populations and distinguishing <strong>the</strong>m for <strong>management</strong> purposes. These studies<br />

should be accompanied by studies on <strong>the</strong> biology and population dynamics <strong>of</strong> <strong>the</strong> most important commercial fish<br />

species.<br />

Acknowledgements<br />

This work forms part <strong>of</strong> my PhD studies, which was funded by Icelandic Development Agency.<br />

References<br />

Alimoso, S.B., 1989. Management <strong>of</strong> catfish (Bagrus meridionalis Gün<strong>the</strong>r) in sou<strong>the</strong>rn Lake Malawi. Fishbyte, 7(2):10-12.<br />

Alimoso, S.B., Magasa, J.H. and van Zalinge, N.P. 1989. Exploitation and Management <strong>of</strong> fish resources in Lake Malawi. In:<br />

Fisheries <strong>of</strong> <strong>the</strong> African Great Lakes. Wageningen, Ne<strong>the</strong>rlands, Occassional Paper No. 3, 83-95.<br />

Banda, M.C. 2000. The biology and ecology <strong>of</strong> <strong>the</strong> catfishes <strong>of</strong> <strong>the</strong> Genera bathyclarias and Bagrus in Lake Malawi.<br />

Unpublished PhD. Thesis. University <strong>of</strong> Zimbabwe.<br />

Bernacsek, G.M., Massingo, A. and Contreras, A. 1983. Exploratory gillnetting in Lake Niassa, Moszambique, with biological<br />

pr<strong>of</strong>iles <strong>of</strong> <strong>the</strong> main taxa caught. FAO/GCP/MOZ/oo6/SWE (phase II). Field Document, 5, 129 pp.<br />

Dadzie, S. and Ochieng-Okach, J.L. 1989. The reproductive biology <strong>of</strong> a suluriod catfish, Bagrus docmak<br />

(Forsskål)(Cypriniformes, Bagridae) in <strong>the</strong> Winam Gulf <strong>of</strong> Lake Victoria. Revue Zoology <strong>of</strong> Africa, 103, 143-154.<br />

Eccles, D.H. 1972. Bagrus meridionalis (Kampango). Department <strong>of</strong> Agriculture and Fisheires Annual Report 1964-65, Part<br />

II:6-13.<br />

FAO, 1976. Promotion <strong>of</strong> intergrated fishery development, Malawi. Analysis <strong>of</strong> <strong>the</strong> various <strong>fisheries</strong> <strong>of</strong> Lake Malawi. FAO,<br />

FI:DP/MLW/77/516. Technical report 1.<br />

Fryer, G. 1984. The conservation and rational exploitation <strong>of</strong> <strong>the</strong> biota <strong>of</strong> Africa’s Great Lakes. In: Conservation <strong>of</strong> Threatened<br />

natural Habitats. Hall A.V. (Ed). South African Natural Science Programmes Report (92), CSIR, Pretoria, pp. 135-146.<br />

Irvine, K. 1995. Standing biomasses, production, spatial and temporal distributions <strong>of</strong> <strong>the</strong> crustacean zooplankton. In: The<br />

Fishery Potential and Productivity <strong>of</strong> <strong>the</strong> pelagic Zone <strong>of</strong> Lake Malawi/Niassa. Menz, A. (Ed). Chatham, U.K: Natural<br />

Resources Institute, pp. 85-108.<br />

Jackson, P.B.N., Iles, T.D. Harding, D. and Fryer, G. 1963. Report on <strong>the</strong> survey <strong>of</strong> nor<strong>the</strong>rn Lake Nyassa, 1954-55. Joint<br />

Fisheries Research Organisation. Government Printers. Zomba, Malawi.<br />

LoVullo, T.J., Stauffer, J.R. and McKaye K.R. 1992. Diet and growth <strong>of</strong> brood <strong>of</strong> Bagrus meridionalis Gün<strong>the</strong>r (Siluriformes:<br />

Bagridae) in Lake Malawi, Africa. Copie, 4, 1084-1088.<br />

McKaye, K.R. 1985. Cichlid-catfish mutualistic defence <strong>of</strong> young in Lake Malawi, Africa. Oecologia, 66, 358-363.<br />

McKaye, K.R. 1986. Trophic egg and parental foraging for young by <strong>the</strong> catfish Bagrus meridionalis <strong>of</strong> Lake Malwi, Africa.<br />

Oecologia, 69(3), 358-363.


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McKaye, K.R. Mughogho, D.E. and LoVullo, T.J. 1992. Formation <strong>of</strong> <strong>the</strong> shellfish school. Environmental Biology <strong>of</strong> Fisheries,<br />

35, 312-218.<br />

Nikolsky, G.V. 1963. The ecology <strong>of</strong> fishes. New York: Academic Press.<br />

Ricker, W.E. 1975. Computation and interpretation <strong>of</strong> Biological Statistics <strong>of</strong> Fish Populations. Bulletin <strong>of</strong> <strong>the</strong> Fisheries Research<br />

Board <strong>of</strong> Canada, 191, 1-382.<br />

Roberts, K.S. 1990. Ageing <strong>the</strong> Lake Malawi catfish Bagrus meridionalis using otoliths. Unpublished MSc. Thesis. University <strong>of</strong><br />

Wales.<br />

Sipawe, R. 2001. Gear and species selectivity <strong>of</strong> <strong>the</strong> gillnet fishery in Lake Malawi. (Proceedings <strong>of</strong> this <strong>symposium</strong>)<br />

Thompson, A.B. Allison, E.H. and Ngatunga, B.P. 1996. Distribution and breeding biology <strong>of</strong> <strong>of</strong>fshore pelagic cyprinids and<br />

catfish in Lake Malawi/Niassa. Environmental Biology <strong>of</strong> Fishes, 47, 27-42.<br />

Turner, J.L. 1982. Analysis <strong>of</strong> purse seine and gillnet catch data <strong>of</strong>f Nkhata Bay, Lake Malawi, from March 1980 to April 1981.<br />

In: Biology Studies on <strong>the</strong> Pelagic Ecosystem <strong>of</strong> Lake Malawi, FI: DP/MLW/75/019, Technical Report 1, FAO, Rome,<br />

pp. 154-162.<br />

Tweddle, D.1975. Age and growth <strong>of</strong> <strong>the</strong> catfish Bagrus meridionalis Gün<strong>the</strong>r in <strong>the</strong> sou<strong>the</strong>rn Lake Malawi. Journal <strong>of</strong> Fish<br />

Biology, 7, 667-685.<br />

Tweddle, D. 1982. Fish breeding migrations in <strong>the</strong> North Rukuru area <strong>of</strong> Lake Malawi with a note on gillnet colour selectivity.<br />

Journal <strong>of</strong> Science and Technology (Malawi), 3(2), 67-74.


215<br />

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Feeding habit and development <strong>of</strong> feeding-related morphological characters in<br />

Oreochromis shiranus (Boulenger, 1896) larvae and juveniles in Malawi<br />

Shinsuke Morioka and Daniel Sikawa<br />

Department <strong>of</strong> Aquaculture and Fisheries Science, Bunda College <strong>of</strong> Agriculture, University <strong>of</strong> Malawi, P.O. Box 30321, c/o JICA<br />

Malawi Office, Lilongwe, Malawi. TEL: 265-277-214, FAX: 265-771-125, E-mail: morioka@<strong>malawi</strong>.net<br />

Abstract<br />

Stomach content, gut length, morphology <strong>of</strong> pharyngeal teeth and gill rakers <strong>of</strong> Oreochromis shiranus larvae and juveniles were<br />

investigated in order to elucidate <strong>the</strong> timing <strong>of</strong> feeding habit conversion, and <strong>the</strong> relationships between feeding habit and <strong>the</strong><br />

feeding-related morphological characters. Stomach content showed that <strong>the</strong> feeding habit <strong>of</strong> fish drastically changed between 14-20<br />

mm TL from zooplanktovorous to herbivorous (phytoplanktovorous). Pharyngeal plate and teeth were already ossified in <strong>the</strong><br />

smallest fish <strong>of</strong> this study (9.95 mm TL) and teeth number increased as fish grew. Percentage length <strong>of</strong> gut ((gut length/TL) x 100<br />

%) became more than 100 % when TL reached 15-20 mm, falling mostly under <strong>the</strong> size with feeding habit conversion. Gill rakers in<br />

4 th gill arch started appearing at 14 mm TL when <strong>the</strong> feeding habit started converting. Consequently, <strong>the</strong> conversion <strong>of</strong> feeding habit<br />

in Oreochromis shiranus started when <strong>the</strong> percentage intestine length became over 100 % and gill rakers in 4 th gill started<br />

appearing, and pharyngeal teeth did not seem to relate directly with such feeding habit conversion.<br />

Key words: Oreochromis shiranus, feeding habit, morphological development, zooplanktovorous, phytoplanktovorous<br />

Introduction<br />

Lake Malawi provides <strong>the</strong> main fish protein resources to <strong>the</strong> Malawian public. However, <strong>the</strong> fish catch in Malawi<br />

has declined since <strong>the</strong> late 1980s from over 70,000 t in 1989 to 40,000 t in 1999 (Zidana, 2000), leading to <strong>the</strong><br />

decrease <strong>of</strong> fish consumption by <strong>the</strong> Malawian public. Therefore, <strong>the</strong> government <strong>of</strong> Malawi has attempted to<br />

promote <strong>the</strong> finfish aquaculture since late 1980s. However, <strong>the</strong>re have been no remarkable developments in<br />

aquaculture production in Malawi, although <strong>the</strong> number <strong>of</strong> small-scale aquacultural farmers and <strong>the</strong>ir production has<br />

recently increased (Sidira, 2001).<br />

It is well known that Oreochromis species are phytoplanktovorus (Appler, 1985) and that <strong>the</strong> protein requirement,<br />

for a relatively high growth rate, is low. Therefore, Oreochromis shiranus is considered to be <strong>the</strong> most<br />

recommendable species for aquaculture in Malawi, and <strong>the</strong> majority <strong>of</strong> <strong>the</strong> small-scale farmers (92.9 %) grow this<br />

species (Sikawa, 1999). However, <strong>the</strong> feeding performance <strong>of</strong> larvae and juveniles <strong>of</strong> Oreochromis shiranus in<br />

Malawi has been scarcely reported so far, although <strong>the</strong> feeding and growth <strong>of</strong> fish larvae and juveniles are<br />

indispensable aspects for fur<strong>the</strong>r development <strong>of</strong> seed production and nursing techniques in aquaculture.<br />

When considering <strong>the</strong> feeding performance <strong>of</strong> fish larvae and juveniles, <strong>the</strong> morphological development relevant to<br />

feeding habit and/or behavior, as well as <strong>the</strong> internal secretion, should be elucidated. In this study, <strong>the</strong>refore, <strong>the</strong><br />

stomach content and <strong>the</strong> feeding-related morphological characters, such as gut length, gill rakers, pharyngeal teeth<br />

and stomach content <strong>of</strong> Oreochromis shiranus larvae and juveniles were investigated and <strong>the</strong> relation between <strong>the</strong><br />

morphological development and feeding habit was discussed.<br />

Materials and methods<br />

This study was conducted using larvae and juveniles <strong>of</strong> Oreochrommis shiranus collected from <strong>the</strong> experimental<br />

ear<strong>the</strong>n pond (15 x 50 m/m, 60 cm depth) <strong>of</strong> Bunda College <strong>of</strong> Agriculture, University <strong>of</strong> Malawi, during 24 May ~<br />

15 June 2000. Water temperature during this period was 17.5 ~ 21.0 o C. In this pond, 333 males and 667 females<br />

were stocked in September 1999. The fish mostly relied on natural food (plankton) although 20 kg <strong>of</strong> maize bran<br />

was given as supplemental diet to <strong>the</strong> fish once a week.<br />

Fifty larvae and juveniles were used in this study. The size (total length) rage <strong>of</strong> fish was 9.95 ~ 50.30 mm. Fish<br />

were preserved in 5-10 % formalin immediately after collection. Twenty specimens were treated as <strong>the</strong> double<br />

stained transparent specimen, following <strong>the</strong> method described by Kawamura and Hosoya (1991). These specimens<br />

were used for determination <strong>of</strong> <strong>the</strong> number <strong>of</strong> pharyngeal teeth on <strong>the</strong> posterior edge <strong>of</strong> lower pharyngeal plate and<br />

<strong>the</strong> ossified gill rakers <strong>of</strong> 4 th gill arch. O<strong>the</strong>r specimens were used to observe <strong>the</strong> stomach contents and intestine<br />

length (mm). The percentage length <strong>of</strong> intestine (PLI) was <strong>the</strong>n calculated (PLI = [intestine length / total length] x<br />

100 %). The percentage <strong>of</strong> zooplankton mass and algal mass in stomach in each fish was obtained on <strong>the</strong> basis <strong>of</strong> <strong>the</strong><br />

acreage <strong>of</strong> each organism in <strong>the</strong> microscopic image. The identification <strong>of</strong> zooplankton and phytoplankton in<br />

stomachs were attempted to higher than family level.


Results<br />

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Development <strong>of</strong> pharyngeal teeth and gill rakers<br />

Both lower and upper pharyngeal plates were already ossified in <strong>the</strong> smallest fish used in this study (9.95 mm TL).<br />

The number <strong>of</strong> pharyngeal teeth on <strong>the</strong> most posterior portion <strong>of</strong> lower pharyngeal plate increased as fish grew from<br />

8 at 9.95 mm TL to 36 at 43.65 mm TL (Figure 1). The relationship between TL and <strong>the</strong> number <strong>of</strong> pharyngeal teeth<br />

was expressed by <strong>the</strong> following two regressions intersecting at (19.91, 22.66); P = 1.29·L – 3.02 (91 = 0.95, n=9)<br />

and P = 0.50·L + 12.71 (r = 0.86, n = 11) where P is <strong>the</strong> number <strong>of</strong> teeth <strong>of</strong> lower pharyngeal plate and L is total<br />

length. The width <strong>of</strong> lower pharyngeal plate linearly increased as fish grew (Figure 2). The relationship between TL<br />

and <strong>the</strong> width <strong>of</strong> <strong>the</strong> lower pharyngeal plate was expressed by W = 0.097·L - 0.059 (r = 0.99, n = 20), where W is<br />

width <strong>of</strong> lower pharyngeal plate and L is total length. Algal cells attached on <strong>the</strong> surface <strong>of</strong> pharyngeal plate with<br />

mucus were frequently observed in fish larger than 20 mm TL.<br />

Gill rakers in <strong>the</strong> 4 th gill arch did not appear in fish smaller than 14.00 mm TL although <strong>the</strong> 4 th gill arch was already<br />

formed. Gill rakers in 4 th gill arch started appearing at 14.05 mm TL and increased in number as fish grew (Figure<br />

3). The relationship between TL and <strong>the</strong> number <strong>of</strong> gill rakers <strong>of</strong> <strong>the</strong> 4 th gill arch, after gill rakers appeared, was<br />

expressed by GR=1.52·L-14.46 (r=0.98, n=17) where GR is <strong>the</strong> number <strong>of</strong> gill rakers and L is total length.<br />

No. <strong>of</strong> phartngeal te<br />

40<br />

35<br />

30<br />

25<br />

20<br />

15<br />

10<br />

5<br />

0<br />

N = 1.29L - 3.02<br />

r = 0.91<br />

N = 0.50L + 12.71<br />

r = 0.86<br />

0 10 20 30 40 50 60<br />

Total length (mm)<br />

Figure 1. Relationship between total length and <strong>the</strong> number <strong>of</strong> pharyngeal teeth in O. shiranus larvae and<br />

juveniles.<br />

Width <strong>of</strong> lower pharygeal plate<br />

6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

0<br />

W = 0.097L - 0.059<br />

r = 0.99<br />

0 10 20 30 40 50 60<br />

Total length (mm)<br />

Figure 2. Relationship between total length and <strong>the</strong> width <strong>of</strong> lower pharyngeal plate.


Number <strong>of</strong> gill rakers <strong>of</strong> 4th gil<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

GR=1.52L-14.46<br />

r=0.98<br />

0 10 20 30 40 50 60<br />

Total length (mm)<br />

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Lake Malawi Fisheries Management Symposium - Proceedings<br />

Figure 3. Relationship between total length and <strong>the</strong> number <strong>of</strong> gill rakers <strong>of</strong> 4 th gill arch.<br />

Intestine length<br />

Gut length was measured in 30 specimens and <strong>the</strong> intestines were elongated from 8.00 to 215.00 mm in 12.75 ~<br />

41.30 mm TL <strong>of</strong> fish. Percent length <strong>of</strong> intestine (PIL = [intestine length / total length] x 100 %) smaller than 15.00<br />

mm TL was less than 100%. It increased as fish grew and reached more than 500% when TL was over 40 mm. The<br />

relationship between TL and PIL was expressed as PIL = 1.01·L 1.64 (r = 0.95, n=30), where PIL is percent intestine<br />

length and L is total length.<br />

Feeding habit<br />

Fish smaller than 14.00 mm TL mainly fed on zooplankton, such as Rotifers, Copepods, Brachiopods (Table 1).<br />

Feeding habit was changed drastically between 14.00 and 20.00 mm TL from zooplanktovorous to<br />

phytoplanktovorous including mono-cellular green algae, diatoms etc. (Table 1). Fibrous matter was occasionally<br />

observed in <strong>the</strong> stomach contents and seemed to originate from water-plants (Table 1). Fish larger than 20.00 mm<br />

TL dominantly fed on phytoplankton or algae even though zooplankton existed in water, as indicated by <strong>the</strong> stomach<br />

content <strong>of</strong> smaller fish that mainly fed on zooplankton.<br />

Table 1. Zooplankton and algae found in stomachs <strong>of</strong> Oreochromis shiranus larvae and juveniles.<br />

Fish size Main content in stomach<br />

< 15.00 mm TL<br />

>15.00 mm TL<br />

Rotifers<br />

Branchionidae, Euchlandae<br />

Copepods<br />

Diatomidae, Cyclopidae<br />

Branchiopods<br />

Daphnidae<br />

Diatoms<br />

Rhizosoleniaceae, Naviculaceae, Nitzschiaceae<br />

Green algae<br />

Characiaceae, Palmellaceae, Coelastraceae<br />

Zygnemataceae<br />

Blue-green algae<br />

Chroococcaceae<br />

Water plant (unidentified)


Percentage length <strong>of</strong> intes<br />

600<br />

500<br />

400<br />

300<br />

200<br />

100<br />

0<br />

IL = 1.01L 1.64<br />

r = 0.96<br />

0 5 10 15 20 25 30 35 40 45<br />

Total length (mm)<br />

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Lake Malawi Fisheries Management Symposium - Proceedings<br />

Figure 4. Relationship between total length and <strong>the</strong> percentage length <strong>of</strong> intestine.<br />

Percentage <strong>of</strong><br />

zooplankton/phytoplankton in st<br />

100<br />

90<br />

80<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

0 5 10 15 20 25 30 35 40 45<br />

Total length (mm)<br />

Figure 5. Relationship between total length and <strong>the</strong> percentage contents <strong>of</strong> zooplankton/algae in<br />

stomach.<br />

Discussion<br />

Although Oreochromis species are known to be phytoplanktovorous or herbivorous (Appler, 1985, H<strong>of</strong>er, 1988), <strong>the</strong><br />

feeding performance at larval and early juvenile stages has scarcely been considered. In this study, <strong>the</strong> conversion <strong>of</strong><br />

feeding habit from zooplanktovorous to phytoplanktovorous or herbivorous was observed to take place between<br />

14.00 and 20.00 mm TL on <strong>the</strong> basis <strong>of</strong> stomach content analysis (Table 1). This observation elucidated that O.<br />

shiranus changed <strong>the</strong> feeing habit when TL reached more than 20 mm TL, although <strong>the</strong>y may be able to adapt to<br />

feed on zooplankton if phytoplankton is insufficient in quantity. When <strong>the</strong> conversion in feeding habit took place,<br />

<strong>the</strong> gill rakers <strong>of</strong> 4 th gill arch had just appeared (Figure 5) and percentage intestine length was over 100 % (Figure 4).<br />

In herbivorous and omnivorous fish, <strong>the</strong> function <strong>of</strong> <strong>the</strong> gill raker as a filter for phytoplanktonic organisms is well<br />

known. So, in O. shiranus, <strong>the</strong> development <strong>of</strong> gill rakers was also strongly related to herbivorous feeding habit<br />

development. Digestive ability <strong>of</strong> fish increases with <strong>the</strong> development <strong>of</strong> digestive organs and <strong>the</strong> enzyme<br />

production systems. Morioka (1993) reported that <strong>the</strong> increase in percent intestine length drastically increased after<br />

<strong>the</strong> transitional phase from larval to juvenile stages in a tropical omnivorous fish Chanos chanos. During <strong>the</strong><br />

transitional phase from larvae to juveniles, <strong>the</strong> digestive systems develop morphologically and physiologically and<br />

<strong>the</strong>y subsequently have <strong>the</strong> specific peculiarity in feeding habit (Tanaka, 1975). In O. shiranus, <strong>the</strong> transitional<br />

phase from larval to juvenile stages and <strong>the</strong> drastic changes in morphology and physiology are considered to take<br />

place at lengths <strong>of</strong> 15 – 20 mm TL.


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Although characters in pharyngeal teeth, i.e. <strong>the</strong> number <strong>of</strong> pharyngeal teeth (Figure 1) and <strong>the</strong> width <strong>of</strong> lower<br />

pharyngeal plate (Figure 2), may be related with <strong>the</strong> feeding habit conversion, <strong>the</strong> function <strong>of</strong> pharyngeal teeth for<br />

feeding could not be identified in this study. The decline <strong>of</strong> increasing rate <strong>of</strong> pharyngeal teeth after 20 mm TL<br />

(Figure 1) may demonstrate that <strong>the</strong> pharyngeal teeth are more functional for feeding on zooplankton and less<br />

functional when fish becomes herbivorous or phytoplanktovorous. In addition, <strong>the</strong> algae adhering to <strong>the</strong> surface <strong>of</strong><br />

<strong>the</strong> pharyngeal plate by mucus was <strong>of</strong>ten observed in this study as well as in Tilapia rendalii (K. Utsugi, pers.<br />

comm.). This suggests that <strong>the</strong> pharyngeal teeth (plate) may function to transport phytoplankton to <strong>the</strong> digestive tract<br />

after <strong>the</strong> filtering <strong>of</strong> planktonic organisms by <strong>the</strong> gill rakers.<br />

In this study, <strong>the</strong> larvae and juveniles were sampled in May and June, this period was <strong>the</strong> dry season and water<br />

temperature was relatively low as 17~21ºC. This indicates, as additional information, that O. shiranus breeds almost<br />

throughout <strong>the</strong> year even though <strong>the</strong> lowest water temperature were less than 20ºC. This is in contrast to Yata and<br />

Miyashita (1988) report that O. niloticus did not breed under less than 23ºC.<br />

Consequently, <strong>the</strong> stage at <strong>the</strong> occurrence <strong>of</strong> feeding habit conversion and <strong>the</strong> development <strong>of</strong> several characters<br />

relevant to feeding <strong>of</strong> O. shiranus larvae and juveniles were elucidated in this study. We believe that this<br />

information is useful not only for <strong>the</strong> technical development in aquaculture but <strong>the</strong> resource <strong>management</strong> fields for<br />

fur<strong>the</strong>r understanding <strong>the</strong> performance <strong>of</strong> <strong>the</strong> species in <strong>the</strong> wild. Since <strong>the</strong> decline in resource level has been<br />

recently pointed out especially in <strong>the</strong> <strong>lake</strong> chambo (O. karongae etc.) (Zidana, 2000). Researches on <strong>the</strong> early life<br />

history <strong>of</strong> fish are indispensable when considering <strong>the</strong> resource <strong>management</strong> aspects, and <strong>the</strong> surveys on feeding<br />

biology <strong>of</strong> fish larvae and juveniles have important roles for providing <strong>the</strong> information relevant to fish survival at<br />

early developmental phases which influences recruitment success. Taking <strong>the</strong> recent decline in <strong>the</strong> fish resource<br />

level into account, <strong>the</strong> research on <strong>the</strong> early biology <strong>of</strong> fish should be more emphasized in order to obtain more<br />

information for understanding <strong>the</strong> early life history <strong>of</strong> fish.<br />

Acknowledgements<br />

We express our great thanks to DR. J.S. Likongwe, Department <strong>of</strong> Aquaculture and Fisheries Science, Bunda<br />

College <strong>of</strong> Agriculture, University <strong>of</strong> Malawi, for his advisory comment. We also thank Mr. O. Matambo and<br />

technical staff <strong>of</strong> <strong>the</strong> department for sample collection. Lastly, We are grateful to Japan International Cooperation<br />

Agency (JICA) to give us <strong>the</strong> opportunity to conduct this research.<br />

References<br />

Appler, H.N. 1985. Evaluation <strong>of</strong> Hydrodictyon reticulatum as protein source in feed for Oreochromis (Tilapia) niloticus and<br />

Tilapia zillii. J. Fish. Biol., 27: 327-334.<br />

Brooks A.C and Maluwa A.O., 1997, Technical Supplement, Fish Farming in Malawi, A case study <strong>of</strong> <strong>the</strong> Central and Nor<strong>the</strong>rn<br />

Regions Fish Farming Project, Malawi Government, Ministry <strong>of</strong> Natural Resources. Malawi.<br />

H<strong>of</strong>er, R. 1988. Morphological adaptations <strong>of</strong> <strong>the</strong> digestive tract <strong>of</strong> tropical cyprinids and cichlids to diet. J. Fish. Biol., 33: 399-<br />

408.<br />

Kawamura, K. and K. Hosoya (1991) A modified double staining technique for making a transparent fish-skeletal specimen.<br />

Bull. Natl. Res. Inst. Aquaculture, 20: 11-18.<br />

Morioka, S. 1993. Ecology <strong>of</strong> milkfish Chanos chanos larvae in <strong>the</strong> surf zone. Doctoral dessertation, Tokyo University <strong>of</strong><br />

Fisheries. (in Japanese)<br />

Sidira, F.D. 2001. Annual report on <strong>the</strong> fish farming activities for <strong>the</strong> year 2000, Lilongwe, Mchinji, Kasungu and Dowa West.<br />

Department <strong>of</strong> Fisheries, Lilongwe.<br />

Sikawa D.C. 1999. On station and on farm investigation <strong>of</strong> optimal conditions for mass fingerling production <strong>of</strong> Tilapia,<br />

Oreochrmois shiranus (Boulenger 1896) in small scale hatchery systems in Malawi. Fish Farming Center, Mzuzu,<br />

Malawi.<br />

Tanaka, M. 1975. Digestive system <strong>of</strong> fish juveniles. Pages 7-23. In: Development and feeding <strong>of</strong> fish juveniles (eds.) T. Iwai<br />

and H. Tsukamoto, Koseisya Koseikaku, Tokyo.<br />

Zidana F.G. 2000, Malawi annual statistical bulletin. Ministry <strong>of</strong> Agriculture and Irrigation, Lilongwe. 56pp.<br />

Yata, T. and T. Miyashita. 1988. Seed production <strong>of</strong> Tilapia. In: Tilapia (ed.) T. Hidaka, Midori-shobo, Tokyo.


220<br />

Lake Malawi Fisheries Management Symposium - Proceedings<br />

Otolith growth increments in three cyprinid species in Lake Malawi and<br />

information <strong>of</strong> <strong>the</strong>ir early growth<br />

Shinsuke Morioka 1 & Emanuel Kaunda 2<br />

1 Department <strong>of</strong> Aquaculture and Fisheries Science, Bunda College <strong>of</strong> Agriculture, University <strong>of</strong> Malawi. c/o JICA Malawi Office, P.O.<br />

Box 30321, Lilongwe 3, Malawi. TEL: 265-277-214, FAX: 265-771-125, E-mail: morioka@<strong>malawi</strong>.net<br />

2 Department <strong>of</strong> Aquaculture and Fisheries Science, Bunda College <strong>of</strong> Agriculture, University <strong>of</strong> Malawi. c/o JICA Malawi Office, P.O.<br />

Box 30321, Lilongwe 3, Malawi<br />

Abstract<br />

Otoliths features and growth increments <strong>of</strong> three Malawian cyprinids, i.e. usipa Engraulicypris sardella, sanjika Opsaridium<br />

microcephalum and mpasa Opsaridium microlepis were investigated. The sagittae <strong>of</strong> all <strong>the</strong> species were not suitable for otolith<br />

increment reading due to <strong>the</strong> increment invisibility and fragile structures in rostrum portions. The asterisci have ambiguous core<br />

structures and fewer increment counts than <strong>the</strong> actual age (in Mpasa) or <strong>the</strong> ones in <strong>the</strong> lapilli (all species). This feature shows that<br />

<strong>the</strong> asteriscus is not applicable for daily increments analysis. The lapilli <strong>of</strong> <strong>the</strong>m had clear increments from <strong>the</strong> core to edge, and<br />

were considered to be <strong>the</strong> best otolith for increment analysis. Hence, <strong>the</strong> lapilli were employed to elucidate <strong>the</strong> breeding periods and<br />

growth patterns in three species. The breeding period <strong>of</strong> Usipa was observed to take place almost throughout <strong>the</strong> year and <strong>the</strong> one<br />

<strong>of</strong> Sanjika was observed to take place at least 8 months from November to July. The growth in larvae and juveniles <strong>of</strong> both Usipa<br />

and Sanjika was relatively slower in <strong>the</strong> dry season and faster in <strong>the</strong> rainy season. Such difference in growth is considered to be due<br />

to <strong>the</strong> difference in water temperature between <strong>the</strong> dry and rainy season.<br />

Key words: Cyprinidae, sagitta, lapillus, asteriscus, growth, Lake Malawi<br />

Introduction<br />

Information on <strong>the</strong> early growth <strong>of</strong> fish is indispensable for both <strong>the</strong> development <strong>of</strong> resource <strong>management</strong> and<br />

aquacultural activities. The three cyprinid species inhabiting Lake Malawi, Usipa Engraulicypris sardella, Sanjika<br />

Opsaridium microcephalum and Mpasa Opsaridium microlepis, are all important for commercial fishing and sports<br />

fishing in <strong>the</strong> latter two. However, <strong>the</strong> current situation <strong>of</strong> fishery production in those species is not positive. In<br />

Usipa Engraulicypris sardella, for instance, <strong>the</strong> mechanism for <strong>the</strong> great yearly catch fluctuation (Zidana 2000) has<br />

not been well elucidated, and little biological research has been made on <strong>the</strong> species (Thompson et al. 1995). In<br />

Mpasa Opsaridium microlepis, <strong>the</strong> recent decline in catch has been pointed out (Makimoto, pers. com.), and no<br />

research has been made on <strong>the</strong> species recently although Tweddle (1982, 1987) conducted preliminary surveys on<br />

<strong>the</strong> biological aspects <strong>of</strong> <strong>the</strong> species. Much <strong>of</strong> <strong>the</strong> biology on Sanjika Opsaridium microcephalum, is still unknown,<br />

such as breeding season, growth, seasonal distribution etc.<br />

Among <strong>the</strong> biological features <strong>of</strong> fish, <strong>the</strong> information <strong>of</strong> <strong>the</strong> early developmental stages is extremely important<br />

because <strong>the</strong> early biology could explain lots <strong>the</strong> subsequent features <strong>of</strong> fish species, i.e. <strong>the</strong> breeding activity,<br />

biomass fluctuation, recruitment success and so on. To obtain <strong>the</strong> information on <strong>the</strong> early biology <strong>of</strong> fish, <strong>the</strong><br />

utilization <strong>of</strong> otolith daily increment has been broadly applied since Pannella (1971) and <strong>the</strong> growth analysis in<br />

larvae and juveniles with daily increments was developed <strong>the</strong>reafter (Bro<strong>the</strong>rs and McFarland 1981,Campana and<br />

Neilson 1985, Campana 1990, Watanabe and Kuroki 1997). In most <strong>of</strong> <strong>the</strong> earlier studies employing otoliths, <strong>the</strong><br />

sagitta was used to age fish in days. However, <strong>the</strong> sagitta is occasionally unsuitable for <strong>the</strong> determination <strong>of</strong> age in<br />

days due to <strong>the</strong> structural complexity (occurrence <strong>of</strong> sub-daily increments or fragility) and <strong>the</strong> lapillus has resulted to<br />

be better material in such cases (H<strong>of</strong>f et al. 1997, Morioka and Machinandiarena 2001, Morioka et al. 2001).<br />

In this study, <strong>the</strong> detection <strong>of</strong> <strong>the</strong> applicable otoliths among <strong>the</strong> sagitta, lapillus and asteriscus were primarily<br />

conducted on Usipa Engraulicypris sardella, Sanjika Opsaridium microcephalum and Mpasa Opsaridium<br />

microlepis. Secondly, <strong>the</strong> elucidation <strong>of</strong> <strong>the</strong> breeding season and early growth pattern <strong>of</strong> <strong>the</strong> species were considered<br />

using <strong>the</strong> growth increments <strong>of</strong> <strong>the</strong> otolith that was observed as <strong>the</strong> applicable one in <strong>the</strong> primal achievement in this<br />

study.<br />

Materials and Methods<br />

Fish used in this study were <strong>the</strong> larvae, juveniles and sub-adults <strong>of</strong> three cyprinid species, i.e. Usipa Engraulicypris<br />

sardella, Sanjika Opsaridium microcephalum and Mpasa Opsaridium microlepis. Larvae and juveniles <strong>of</strong> Usipa and<br />

<strong>the</strong> juveniles <strong>of</strong> Sanjika were collected from Nkhotakota and Chia beach (Figure 1) using seine nets (1 mm mesh, 1<br />

m height, 8 m and 30 m width) operated along <strong>the</strong> shore. Collection <strong>of</strong> <strong>the</strong>se two species were made on 20 July, 17<br />

August 2000, January 18, February 28, 5 April and 3 May 2001 (n = 149 and 15.00 – 96.7 mm TL for Usipa, n =<br />

181 and 14.30 - 77.45 mm TL for Sanjika). Juveniles <strong>of</strong> Mpasa were hatched at <strong>the</strong> National Aquaculture Center,<br />

Domasi, Malawi by artificial fertilization (dry method) and 20 juveniles were sacrificed at 65 day-old after hatching


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(12.75-22.25 mm TL). Ten wild sub-adults <strong>of</strong> Mpasa were also collected from Salima on 1 May 2001 and<br />

Nkhotakota on 3 May 2001 (131.40 – 181.10 mm TL).<br />

Fish was preserved in 70% ethanol immediately after collection and <strong>the</strong> otoliths (sagitta, lapillus and asteriscus)<br />

were extracted. Extracted otoliths were embedded on <strong>the</strong> glass slides with epoxy resin. When otoliths were opaque,<br />

<strong>the</strong>y were ground with sand paper (# 1500) and lapping films (12 µm, 9 µm, 6 µm mesh) for being thin proximal<br />

sections, following <strong>the</strong> method described by Nishimura (1993). Ground surfaces <strong>of</strong> otoliths were occasionally etched<br />

by 0.1 N HCL to emphasize <strong>the</strong> contrast <strong>of</strong> <strong>the</strong> continuous and discontinuous zones in otoliths. Otolith<br />

microstructures were observed under <strong>the</strong> optic microscopy with transmitted light (x 200 - 400). For all species,<br />

otolith increment counts were counted and <strong>the</strong> radii <strong>of</strong> every five increments in Usipa’s lapilli were recorded. In<br />

Usipa, TL was back-calculated every 5 days using <strong>the</strong> relationship between otolith radii and TL, following <strong>the</strong><br />

method <strong>of</strong> Watanabe and Kuroki (1997).<br />

Figure 1. Collection sites <strong>of</strong> fish.<br />

Results<br />

Otolith features<br />

External and internal features <strong>of</strong> otoliths were more or less similar among three species <strong>of</strong> this study. The sagitta was<br />

arrow head shaped and had an obvious nucleus with two projections (rostrums) on anterior/posterior sides (Figure<br />

2). The increments in <strong>the</strong> sagittae were deposited clearly from <strong>the</strong> nucleus up to c. 30 th increment at <strong>the</strong> bases <strong>of</strong> both<br />

anterior- and posterior-rostrums, <strong>the</strong>n, <strong>the</strong>y became invisible in rostrum portions (Figure 2). Rostrum portions, in<br />

addition, were fragile and <strong>of</strong>ten destroyed by otolith extracting and grinding treatments. These features indicated that<br />

<strong>the</strong> sagitta was not a suitable material for <strong>the</strong> age determination in days.<br />

The lapillus was oval-shaped and had a clear nucleus (Figure 3). The increments in <strong>the</strong> lapilli were clearly visible<br />

from <strong>the</strong> nuclei to edge portion after grinding (Figure 3). The increment counts in <strong>the</strong> lapilli <strong>of</strong> laboratoryhatched/reared<br />

Mpasa juveniles agreed with <strong>the</strong> actual age in days (65 days after hatching). Thus, <strong>the</strong> lapilli were<br />

considered to be <strong>the</strong> applicable otolith for daily increment analysis in <strong>the</strong> species used in this study.<br />

The asteriscus was oval-shaped and had an ambiguous nucleus (Figure 4). This ambiguous nucleus made <strong>the</strong> 1 st<br />

increment identification impossible. In <strong>the</strong> asterisci, additionally, <strong>the</strong> increment counts were much fewer than <strong>the</strong>


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ones in <strong>the</strong> lapilli or, <strong>the</strong>y were much less than <strong>the</strong> actual age in days in laboratory-hatched/reared Mpasa juveniles.<br />

These features demonstrated that <strong>the</strong> asterisci were also not useful for daily increment analysis.<br />

On <strong>the</strong> basis <strong>of</strong> <strong>the</strong> upper observations, <strong>the</strong> lapilli were resulted to be <strong>the</strong> best material for <strong>the</strong> increment analysis <strong>of</strong><br />

otolith. Hence, <strong>the</strong> lapilli were employed for <strong>the</strong> subsequent analyses.<br />

A B C<br />

Figure 2. Sagittae <strong>of</strong> juveniles in Engraulicypris sardella (A), Opsaridium microcephalum (B) and<br />

Opsaridium microlepis (C). Bars indicate 100 µm.<br />

A B C<br />

Figure 3. Lapilli <strong>of</strong> juveniles in Engraulicypris sardella (A), Opsaridium microcephalum (B) and<br />

Opsaridium microlepis (C). Bars indicate 100 µm.<br />

A B C<br />

Figure 4. Asterisci <strong>of</strong> juveniles in Engraulicypris sardella (A), Opsaridium microcephalum (B) and<br />

Opsaridium microlepis (C). Bars indicate 100 µm.<br />

Breeding seasons<br />

Breeding season <strong>of</strong> each species was estimated by <strong>the</strong> increment counts in <strong>the</strong> lapilli. In Usipa, <strong>the</strong> hatching months<br />

were observed almost throughout <strong>the</strong> year except January, March, May and August although <strong>the</strong> frequencies <strong>of</strong> <strong>the</strong><br />

hatching month varied in each month, being particularly higher in December and April (Figure 5A). This suggested<br />

that Usipa bred almost throughout <strong>the</strong> year. In Sanjika, <strong>the</strong> hatching months were observed consecutively from late<br />

November to early July (Figure 5B), suggesting that Sanjika bred at least during 8 months a year. The highest<br />

frequency was observed in May and <strong>the</strong> second highest was in January. In Mpasa, <strong>the</strong> hatching months were<br />

observed from September to December although <strong>the</strong> number <strong>of</strong> specimens was only 10.


Frequency (%<br />

Frequency (%<br />

30<br />

25<br />

20<br />

15<br />

10<br />

5<br />

0<br />

45<br />

40<br />

35<br />

30<br />

25<br />

20<br />

15<br />

10<br />

5<br />

0<br />

B<br />

Nov Dec Jan Feb Mar Apr May Jun Jul<br />

Hatching month<br />

A<br />

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Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug<br />

Hatching month<br />

Figure 5. Hatching months <strong>of</strong> Engraulicypris sardella (A) and Opsaridium microcephalum (B) estimated<br />

by <strong>the</strong> lapilli increment counts.<br />

Growth patterns<br />

Growth <strong>of</strong> Usipa larvae and juveniles born in <strong>the</strong> rainy season (November to February) was faster than <strong>the</strong> one born<br />

in <strong>the</strong> dry season (June and July)(Figure 6). The growth rate <strong>of</strong> Usipa in <strong>the</strong> rainy season was more than 0.70 mm TL<br />

per day while less than 0.50 mm TL in <strong>the</strong> dry season. Sanjika juveniles also showed that <strong>the</strong> growth in fish born in<br />

<strong>the</strong> rainy season was higher than <strong>the</strong> one born in <strong>the</strong> dry season (Figure 7). Sanjika could be separated into <strong>the</strong><br />

following 3 groups: fish born and grown in <strong>the</strong> rainy season (n = 74, referred to as <strong>the</strong> summer-born group), fish<br />

born in <strong>the</strong> rainy season and grown during both <strong>the</strong> rainy and dry seasons (n = 3, referred to as <strong>the</strong> intermediate<br />

group), and fish born and grown in <strong>the</strong> dry season (n = 104, referred to as <strong>the</strong> winter-born group). Growth rate in <strong>the</strong><br />

rainy season was more than 0.70 mm TL while less than 0.60 mm TL per day in <strong>the</strong> dry season. In Mpasa, <strong>the</strong><br />

largest specimen (181.60 mm TL) was aged 221 days after hatching and <strong>the</strong> smallest one (131.40 mm TL) was aged<br />

151 days, demonstrating that Mpasa grew at <strong>the</strong> rate <strong>of</strong> more than 0.80 mm TL per day.


Total length (m<br />

50<br />

45<br />

40<br />

35<br />

30<br />

25<br />

20<br />

15<br />

10<br />

5<br />

0<br />

born in November<br />

born in December<br />

born in January<br />

born in Feburuary<br />

born in dry season<br />

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0 10 20 30 40 50 60 70<br />

Number <strong>of</strong> lapilli increments (age in days)<br />

Figure 6. Relationship between lapilli increment counts (age in days) and back-calculated total length at<br />

ages (mm) in Engraulicypris sardella. Back-calculated TL was individually expressed <strong>the</strong> fish groups<br />

hatched in different months or season. Closed circle: fish born in November, opened circle: in December,<br />

opened square: in January, opened diamond: in February and closed triangle: in dry season, respectively.<br />

Total length (m<br />

120<br />

100<br />

80<br />

60<br />

40<br />

20<br />

0<br />

0 20 40 60 80 100 120 140 160<br />

Lapilli increment counts (age in days)<br />

Figure 7. Relationship between lapilli increment counts (age in days) and total length (mm). Closed circle:<br />

fish born/grown in rainy season, opened circle: fish born/grown in dry season, opened triangle: fish born<br />

in rainy season and grown in rainy/dry season.


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Discussion<br />

Difficulties in use <strong>of</strong> <strong>the</strong> sagittae for <strong>the</strong> determination <strong>of</strong> age in days have been occasionally pointed out because <strong>of</strong><br />

<strong>the</strong> structural complexity or <strong>the</strong> occurrence <strong>of</strong> sub-daily increments (H<strong>of</strong>f et al. 1997, Morioka and Machinandiarena<br />

2001, Morioka et al. 2001). In <strong>the</strong> three cyprinid species used in this study, <strong>the</strong> sagitta was considered inappropriate<br />

material for <strong>the</strong> daily increments analysis due to <strong>the</strong> fragility and invisibility <strong>of</strong> increments in rostrum portions<br />

(Figure 2). In <strong>the</strong> asteriscus, <strong>the</strong> difficulty in 1 st increment identification due to <strong>the</strong> ambiguous nuclei was observed<br />

(Figure 3). Moreover, in general, <strong>the</strong> asteriscus was observed to be formed later than <strong>the</strong> sagitta and lapillus, a<br />

certain period after hatching such as observed in Anguilla japonica (Umezawa 1988), Delitistes luxatus and<br />

Chasmistes brevirostris (H<strong>of</strong>f et al. 1997). Such information also demonstrates <strong>the</strong> disadvantage <strong>of</strong> <strong>the</strong> asterisci in<br />

<strong>the</strong> analysis <strong>of</strong> daily increments. Thompson et al. (1995) described that <strong>the</strong> asterisci had two projections and <strong>the</strong><br />

sagittae were formed later than <strong>the</strong> lapilli and asterisci in Usipa. We suspect that <strong>the</strong>y misidentified <strong>the</strong> sagittae as<br />

<strong>the</strong> asterisci. Additionally, <strong>the</strong>y employed <strong>the</strong> sagittae and asterisci in combination for <strong>the</strong> increment analysis instead<br />

<strong>of</strong> using <strong>the</strong> lapilli although <strong>the</strong>y found <strong>the</strong> readable increments in <strong>the</strong> lapilli and <strong>the</strong> upper-noted unsuitable<br />

characteristics were found in o<strong>the</strong>r otoliths. As shown in this study, as well as observed in o<strong>the</strong>r cyprinids (H<strong>of</strong>f et<br />

al. 1997), <strong>the</strong> lapilli are apparently superior to o<strong>the</strong>rs for <strong>the</strong> increment counts with <strong>the</strong> consecutive readability <strong>of</strong><br />

increments. The sagittae have been mainly applied for <strong>the</strong> otolith increments analysis so far. But, with taking <strong>the</strong><br />

superiority in <strong>the</strong> lapilli found in cyprinids (this study and H<strong>of</strong>f et al. 1997) and o<strong>the</strong>r species (Morioka and<br />

Machinandiarena 2001) into account, <strong>the</strong> use <strong>of</strong> <strong>the</strong> lapilli should be emphasized more and developed.<br />

Breeding period <strong>of</strong> Mpasa estimated in this study was from <strong>the</strong> latter half <strong>of</strong> <strong>the</strong> dry season and <strong>the</strong> beginning <strong>of</strong> <strong>the</strong><br />

rainy season (September to December). However, <strong>the</strong> sexually matured adults were captured in earlier months (July<br />

and August)(P.B. Kataya, pers. comm.). This indicates that <strong>the</strong> breeding season <strong>of</strong> Mpasa may extend from July to<br />

December.<br />

Breeding period <strong>of</strong> Usipa was observed to take place almost throughout <strong>the</strong> year and Sanjika’s one was at least over<br />

8 months (Figure 5), although <strong>the</strong> water temperature in <strong>the</strong> <strong>lake</strong> seasonally varies between 23 ºC and more than 28<br />

ºC (Patterson and Kachinjika 1995). These long-term breeding periods in Usipa and Sanjika strongly suggest <strong>the</strong><br />

existence <strong>of</strong> <strong>the</strong> plural stocks in both species, that is, <strong>the</strong> different stocks adapting to <strong>the</strong> different optimum<br />

temperature for reproduction.<br />

The growth <strong>of</strong> Usipa larvae and juveniles and Sanjika juveniles in <strong>the</strong> rainy season was higher than <strong>the</strong> one in <strong>the</strong><br />

dry season (Figures 6 and 7). The differences in growth also suggest <strong>the</strong> existence <strong>of</strong> <strong>the</strong> plural stocks in both Usipa<br />

and Sanjika in <strong>the</strong> <strong>lake</strong> as well as <strong>the</strong> long term breeding periods discussed above. Differences in growth may be<br />

able to be explained by <strong>the</strong> water temperature in <strong>the</strong> <strong>lake</strong> that is higher in <strong>the</strong> rainy season and lower in <strong>the</strong> dry<br />

season as referred above (Patterson and Kachinjika 1995). In addition, <strong>the</strong> larger water inlet from <strong>the</strong> rivers during<br />

<strong>the</strong> rainy season may provide more nutrients to promote <strong>the</strong> larger biomass <strong>of</strong> <strong>the</strong> planktonic organisms that is <strong>the</strong><br />

main diet <strong>of</strong> fish larvae and juveniles. However, Irvine (1995) observed that <strong>the</strong> zooplankton biomass was more<br />

abundant during <strong>the</strong> dry season than <strong>the</strong> rainy season (1995).<br />

Conclusive note<br />

In this study, several fundamental biological features <strong>of</strong> Usipa, Sanjika and Mpasa, <strong>the</strong> important species for both<br />

<strong>the</strong> commercial and sports fishing in Lake Malawi, were preliminary elucidated. More information is necessary to<br />

clarify <strong>the</strong> biological aspects <strong>of</strong> <strong>the</strong> early-staged fish especially in relation to <strong>the</strong> fish resource <strong>management</strong>.<br />

Additionally, <strong>the</strong> biological information <strong>of</strong> fish larvae and juveniles is indispensable for <strong>the</strong> fur<strong>the</strong>r development <strong>of</strong><br />

<strong>the</strong> aquacultural activity. In both senses, <strong>the</strong> long-term research on <strong>the</strong> important fish larvae and juveniles is strongly<br />

recommended.<br />

Acknowledgements<br />

We thank Mr. S. Matsumoto and his colleagues for assisting us in fish sample collection. We are also grateful to<br />

Japan International Cooperation Agency (JICA) for giving us <strong>the</strong> opportunity to conduct this study.


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References<br />

Bro<strong>the</strong>rs, E.B. and W.N. McFarland (1981) Correlation between otolith microstructure, growth and life history transitions in<br />

newly recruited French grunts (Haemulon flavolineatum). Rapp. P.-V. Reun. Cons. Int. Explor. Mer., 178, 369-374.<br />

Campana, S.E. (1990) How reliable are growth back-calculation based on otoliths? Can. J. Fish. Aquat. Sci., 47, 2219-2227.<br />

Campana, S. and J.D. Neilson (1985) Microstructure <strong>of</strong> fish otoliths. Can. J. Fish. Aquat. Sci., 42, 1014-1032.<br />

H<strong>of</strong>f, G.R., D.J. Logan and D.F. Markle (1997): Otolith morphology and increment validation in young Lost Liver and shortnose<br />

suckers. Transact. Amer. Fish. Soc., 126, 488-494.<br />

Morioka, S, L. Machinandiarena (2001) Comparison <strong>of</strong> daily increment formation pattern between sagittae and lapilli <strong>of</strong> ling<br />

(Genypterus blacodes) larvae and juveniles collected <strong>of</strong>f Argentina. New Zealand J. Mar. Freshwater Res., 35(1):<br />

111-119.<br />

Morioka, S., L. Machinandiarena and M.F. Villarino. 2001. Preliminary information on internal structures <strong>of</strong> otoliths and growth<br />

<strong>of</strong> ling, Genypterus blacodes (Ophidiidae), larvae and juveniles collected <strong>of</strong>f Argentine. Bull. Jpn. Soc. Fish.<br />

Oceanogr., 65(2): 9-16.<br />

Nishimura, A. (1993): Age determination <strong>of</strong> walleye pollock based on <strong>the</strong> otolith (Review). Sci. Rep. Hokkaido Fish. Exp. Stn.,<br />

42, 37-49. (in Japanese)<br />

Thompson, A.B., E.H. Allison, B.P. Ngatunga and A. Bulirani. 1995. Fish growth and breeding biology. In: The fishery potential<br />

and productivity <strong>of</strong> <strong>the</strong> pelagic zone <strong>of</strong> Lake Malawi / Niassa (ed.) A. Menz. Natural Resources Institute, UK.<br />

Tweddle, D. 1982. Fish breeding migrations in <strong>the</strong> north Rukuku area <strong>of</strong> Lake Malawi with a not on gillnet colour selectivity.<br />

Journal <strong>of</strong> Science and Technology in Malawi 3(2); 67-74.<br />

Tweddle, D. 1987. An assessment <strong>of</strong> <strong>the</strong> growth rate <strong>of</strong> Mpasa, Opsaridium microlepis (Gunter, 1864) (Pisces: Cyprinidae), by<br />

length frequency analysis. Journal <strong>of</strong> Limnological Society <strong>of</strong> South Africa 13(2): 52-57.<br />

Watanabe, Y. and T. Kuroki (1997) Asymptotic growth trajectories <strong>of</strong> larval sardine (Sardinops melanosticus) in <strong>the</strong> coastal<br />

waters <strong>of</strong>f western Japan. Mar. Biol., 127, 369-378.<br />

Zidana F.G. 2000, Malawi annual statistical bulletin. Ministry <strong>of</strong> Agriculture and Irrigation, Lilongwe.


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Development <strong>of</strong> African catfish Clarias gariepinus larvae during <strong>the</strong> transitional<br />

phase between endogenous and exogenous energy intake.<br />

Seiji Matsumoto, Shinsuke Morioka and Sigeru Kumagai<br />

Department <strong>of</strong> Aquaculture and Fisheries Science, Bunda College <strong>of</strong> Agriculture, University <strong>of</strong> Malawi. c/o JICA Malawi Office, P.O.<br />

Box 30321, Lilongwe 3, Malawi. Tel: 265-277-214, Fax: 265-771-125, E-mail: morioka@<strong>malawi</strong>.net<br />

Abstract<br />

Development <strong>of</strong> newly hatched African Catfish Clarias gariepinus larvae in an aspect <strong>of</strong> energy intake conversion was investigated.<br />

The anus and mouth <strong>of</strong> larvae opened by 16 and 22 h after hatching, respectively. However, <strong>the</strong> onset <strong>of</strong> feeding was observed<br />

from day 3 (67 h) after hatching when <strong>the</strong> jaw structure started being ossified and <strong>the</strong> nerve in barbel appeared. Yolk was<br />

completely absorbed on day 7 after hatching (166 h after hatching). These observations demonstrated that <strong>the</strong> larvae had <strong>the</strong><br />

transitional period to utilize both endogenous and exogenous energy sources for c. 100 h. Mass-mortality in larvae reared under<br />

starvation after hatching took place from day 11 to day 14, all specimens being dead on day 16. These phenomena indicated that<br />

<strong>the</strong> food-derived larvae had survived using <strong>the</strong> energy sources in <strong>the</strong>ir body tissues after yolk absorption for more than 4days<br />

(maximum 7 days). This fact showed <strong>the</strong> larvae <strong>of</strong> this species having a stronger starvation tolerance than <strong>the</strong> marine fish larvae<br />

reported in earlier studies. The delayed feeding experiments showed that <strong>the</strong> PNR (point <strong>of</strong> no-return) existed on day 9-10 after<br />

hatching, demonstrating that larvae should start feeding by 9-10 days after hatching to survive before reaching <strong>the</strong> PNR.<br />

Key words: Clarias gariepinus larvae, yolk, onset <strong>of</strong> feeding, survival<br />

Introduction<br />

African Catfish Clarias gariepinus (Burchell 1815) are widely distributed over Africa. This species is known as<br />

having an omnivorous feeding habit although <strong>the</strong> higher protein level in diet is recommendable (Viveen et al. 1985,<br />

Haylor 1992). Catfish species is <strong>the</strong> one <strong>of</strong> <strong>the</strong> main species under aquaculture especially in temperate and tropical<br />

freshwaters because <strong>of</strong> <strong>the</strong> omnivorous feeding habit and rapid growth such as observed in C. gariepinis (Haylor<br />

1992), Parasilurus asotus (Tsuchiya 1976) and Ictalurus punctatus (Watanabe 1988). In such background, <strong>the</strong><br />

aquacultural aspects, e.g. seed production/rearing techniques and nutritional features have been broadly surveyed so<br />

far in catfish species.<br />

For fur<strong>the</strong>r development <strong>of</strong> aquacultural techniques, <strong>the</strong> understanding <strong>of</strong> biological view in <strong>the</strong> larval stage is<br />

indispensable. Especially, <strong>the</strong> information on <strong>the</strong> survival, feeding performance and morphological development in<br />

early larvae should be well grasped in view <strong>of</strong> this critical period (Kohno 1998). Major achievements in such<br />

aspects have, so far, been made mainly in marine fin fish (Wiggins et al. 1985, Yamashita and Aoyama 1985,<br />

Khono et el. 1990). However, such features in catfish species have been scarcely made as yet. In addition, such<br />

information also contributes for fur<strong>the</strong>r understanding <strong>the</strong> fish biology in <strong>the</strong> natural water in relation to <strong>the</strong> resource<br />

<strong>management</strong> aspects.<br />

In this study, <strong>the</strong>refore, <strong>the</strong> survival, onset <strong>of</strong> feeding and <strong>the</strong> early development <strong>of</strong> morphology in newly-hatched<br />

African catfish larvae were investigated and <strong>the</strong> features during <strong>the</strong> energy intake conversion from endogenous to<br />

exogenous were discussed.<br />

Materials and methods<br />

Some 30,000 African catfish larvae used in this study were produced with artificial fertilization (dry method) at <strong>the</strong><br />

Department <strong>of</strong> Aquaculture and Fisheries Science, Bunda College <strong>of</strong> Agriculture, University <strong>of</strong> Malawi, on 15<br />

March (batch 1) and 15 April (batch 2) 2001. Newly-hatched larvae were stocked in 1000 l or 200 l plastic tanks<br />

immediately after hatching. Water temperature during rearing was 22-25 ºC. Artemia sp. naulii and natural<br />

zooplankton (Copepoda, Branchiopoda, Ploima etc.) were given at <strong>the</strong> density <strong>of</strong> 5 – 10 ind. per ml once a day. The<br />

hatching time was recorded in batch 1 as when <strong>the</strong> 1 st specimen hatched. Thereafter, some 500 larvae were<br />

intermittently sampled with <strong>the</strong> interval <strong>of</strong> more frequently than every 12 hours. Using <strong>the</strong>se specimens, <strong>the</strong> trend in<br />

decrease <strong>of</strong> <strong>the</strong> yolk sac volume and <strong>the</strong> morphological development were observed. Yolk sac volume can be<br />

calculated with <strong>the</strong> formula V = 4/6·πR 3 if <strong>the</strong> shape <strong>of</strong> yolk sac is spherical, where R is <strong>the</strong> yolk radius. But, we<br />

applied <strong>the</strong> formula V = π/6·LH 2 (Blaxter and Hempel 1963), where L is length (mm) and H is height (mm), because<br />

<strong>the</strong> shape <strong>of</strong> yolk sac was not spherical in this species. One hundred nine <strong>of</strong> <strong>the</strong>m were treated as being <strong>the</strong> double<br />

stained transparent specimen using <strong>the</strong> method <strong>of</strong> Kawamura and Hosoya (1991) to observe <strong>the</strong> jaw structures and<br />

barbel development.<br />

Sixty-five larvae from batch 1 were stocked in 1 l beaker and reared without feeding and survival rate was recorded<br />

until all larvae were died by starvation. Some 400 larvae from batch 2 were separately stocked in 7 beakers and 7


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different timings (delayed feeding) <strong>of</strong> first diet supply were set (Table 1). The survival rates in each setting were<br />

recorded.<br />

Table 1. Experimental design <strong>of</strong> delayed feeding.<br />

Results<br />

Settings Timings <strong>of</strong> 1 st diet supply<br />

D-4 Diet given on 4 days after hatching<br />

D-6 6 days after hatching<br />

D-8 8 days after hatching<br />

D-10 10 days after hatching<br />

D-12 12 days after hatching<br />

D-14 14 days after hatching<br />

Starvation Without diet until dead<br />

Yolk sac absorption and survival in food deprived specimens<br />

Total length (TL) <strong>of</strong> larvae at hatching was 4.07 ± 0.11 mm (mean ± SD, n = 10). TL, <strong>the</strong>n, continuously developed<br />

and reached 9.23 ± 0.71 mm (n = 5) at 166 h when yolk sac completely absorbed (Figure 1). Yolk sac <strong>of</strong> newlyhatched<br />

larvae drastically declined from hatching to 97 h after hatching as expressed by <strong>the</strong> formula V = -0.0102·T +<br />

1.0208 (r = 0.986). It gradually decreased <strong>the</strong>reafter as expressed by <strong>the</strong> formula V = -0.0002·T + 0.0329 (r = 0.732).<br />

The complete yolk sac absorption was observed at 166 h (7-day) after hatching (Figure 2). The food deprived<br />

(starved) larvae from batch 1 highly survived until <strong>the</strong> 10 days after hatching and <strong>the</strong> mass mortality took place<br />

<strong>the</strong>reafter (Figure 3). They all died on day 16 after hatching. In <strong>the</strong> larvae (from batch 2) under <strong>the</strong> different timings<br />

<strong>of</strong> 1 st diet giving, <strong>the</strong> ones <strong>of</strong> D-4, -6 and -8 survived with relatively higher survival rates (more than 50%) while <strong>the</strong><br />

ones <strong>of</strong> D-10, -12 and -14 showed <strong>the</strong> close patterns in mortality observed in starved larvae and all died after 17<br />

days after hatching in D-12, -14 and starvation (Figure 4). In D-10, only one larva survived.<br />

Total length (m<br />

12<br />

10<br />

8<br />

6<br />

4<br />

2<br />

0<br />

onset <strong>of</strong><br />

feeding<br />

0 50 100 150 200<br />

Hours after hatching<br />

Figure 1. Relationship between hour after hatching and total length (mm) in Clarias gariepinus larvae.<br />

Dotted line indicates <strong>the</strong> onset <strong>of</strong> feeding.


Yolk volume (mm<br />

1.2<br />

1<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0<br />

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Days after hatching<br />

0 1 2 3 4 5 6<br />

V = -0.0102T + 1.0208<br />

r =<br />

V = -0.0002T + 0.0329<br />

r = 0.732<br />

0 20 40 60 80 100 120 140 160 180<br />

Hours after hatching<br />

Figure 2. Relationship between hours after hatching and yolk sac volume (mm 3 ) in Clarias gariepinus<br />

larvae.<br />

Survival rate<br />

100<br />

90<br />

80<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

yolk completely absorbed<br />

0 2 4 6 8 10 12 14 16 18<br />

Days after hatching (days <strong>of</strong> starvation)<br />

Figure 3. Relationship between days after hatching and survival rate (%) in starved Clarias gariepinus<br />

larvae.


Survival rate<br />

120<br />

100<br />

80<br />

60<br />

40<br />

20<br />

0<br />

Fed from D-4<br />

Fed from D-6<br />

Fed from D-8<br />

Fed from D-10<br />

Fed from D-12<br />

Fed from D-14<br />

Starved<br />

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yolk completely absorbed<br />

0 2 4 6 8 10 12 14 16 18<br />

Days after hatching<br />

Figure 4. Relationship between days after hatching and survival rate (%) in delayed feeding experiments<br />

<strong>of</strong> Clarias gariepinus larvae. See Table 1 for experimental design and symbols.<br />

Morphological development and feeding performance<br />

At hatching, <strong>the</strong> bony structure and barbel did not exist. The anus was observed to open at 16 h after hatching and<br />

<strong>the</strong> mouth opened at 22 h. The eye pigmentation was observed from 34 h and <strong>the</strong> development <strong>of</strong> barbel started as<br />

well. The cartilage structure <strong>of</strong> <strong>the</strong> upper / lower jaws appeared at 39.5 h. At 58 h, <strong>the</strong> upper / lower jaw structures<br />

started being ossified and <strong>the</strong> taste bud cell in <strong>the</strong> barbel started developing. At 67 h, <strong>the</strong> onset <strong>of</strong> feeding was<br />

observed. The bony structure <strong>the</strong>reafter developed and <strong>the</strong> cleithrum appeared at 70 h. At 112 h, <strong>the</strong> pectoral fin bud<br />

appeared and <strong>the</strong> cartilage <strong>of</strong> pectoral fin support appeared at 118 h. Morphological development at hours after<br />

hatching was described in Table 2.<br />

Table 2. Morphological development at hour after hatching.<br />

Hours after<br />

hatching<br />

0<br />

16<br />

22<br />

34<br />

58<br />

67<br />

70<br />

112<br />

118<br />

166<br />

Morphological features and<br />

feeding performance<br />

No bony structures and <strong>the</strong> eyes not pigmented<br />

Anus opened<br />

Mouth opened and barbel appeared<br />

Eye pigmentation started and upper / lower jaw structures<br />

appeared<br />

Upper / lower jaws started being ossified and taste bud cells<br />

in barbel appeared<br />

Onset <strong>of</strong> feeding<br />

Cleithrum appeared<br />

Pectoral fin bud appeared<br />

Pectoral fin support appeared<br />

Yolk completely absorbed


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Discussion<br />

Viveen et al. (1985) reported that <strong>the</strong> yolk sac <strong>of</strong> this species was absorbed by 3-day after hatching. However, in this<br />

study, <strong>the</strong> yolk sac was observed to retain until 166 h after hatching (7-day after hatching) although c. 98% <strong>of</strong> yolk<br />

sac was absorbed by 100 h (Figure 1). In o<strong>the</strong>r marine fish, <strong>the</strong> same trend, such as <strong>the</strong> drastic decrease in yolk sac<br />

volume in initial phase while it continued retaining with gradual decrease <strong>the</strong>reafter, was observed (Khono et al.<br />

1990). The onset <strong>of</strong> feeding was observed at 67 h after hatching and <strong>the</strong> period to utilize both endogenous and<br />

exogenous energy sources was elucidated for 100 h (more than 4 days) in this species. In pelagic marine fish larvae,<br />

generally, <strong>the</strong> overlapping period with endogenous and exogenous energy sources was much shorter such as<br />

observed in Chanos chanos (Kohno et al. 1990).<br />

The survival rate in food-deprived larvae was high until 10 days after hatching (Figures 3 and 4). In addition, <strong>the</strong><br />

larvae that were given diet 8 days after hatching showed relatively high survival (more than 50%) while <strong>the</strong> ones not<br />

given diet for more than 10 days after hatching died (Figure 4). This indicates that <strong>the</strong> PNR (point <strong>of</strong> no-return,<br />

(Blaxter and Hempel 1963)) <strong>of</strong> C. gariepinus exists at around 9~10-days after hatching at 22.0-25.0ºC water<br />

temperature. This demonstrates that <strong>the</strong> larvae need to start feeding by <strong>the</strong> 8 th day after hatching, although <strong>the</strong> lower<br />

water temperature may give more allowance in time until reaching <strong>the</strong> PNR. In species that have an oil globule, i.e.<br />

Psetta maxima (M. Moteki, unpubl. data), <strong>the</strong> yolk sac is absorbed at around onset <strong>of</strong> feeding and <strong>the</strong> oil globule is<br />

retained longer. In such species, <strong>the</strong> survival <strong>of</strong> larvae after onset <strong>of</strong> feeding relies mainly on energy supply from <strong>the</strong><br />

oil globule. However, C. gariepinnus is a species that does not have an oil globule, and <strong>the</strong> survival is considered to<br />

be influenced by <strong>the</strong> performance decline in <strong>the</strong> yolk sac.<br />

Rana (1985) reported that <strong>the</strong> yolk sac in Oreochromis mossambicus larvae was mainly consumed for <strong>the</strong><br />

maintenance <strong>of</strong> body, not for growth. In this study, however, <strong>the</strong> larvae showed a continuous growth in TL even<br />

during <strong>the</strong> phase before <strong>the</strong> onset <strong>of</strong> feeding (0~67 h, Figure 1). This shows <strong>the</strong> larvae <strong>of</strong> this species utilizing <strong>the</strong><br />

yolk sac both for <strong>the</strong> maintenance and growth <strong>of</strong> body.<br />

Although <strong>the</strong> anus and mouth opened at 16 and 22 h after hatching, respectively, <strong>the</strong> onset <strong>of</strong> feeding was observed<br />

at 67 h (Table 2). At <strong>the</strong> time <strong>of</strong> <strong>the</strong> onset <strong>of</strong> feeding, <strong>the</strong> initial ossification <strong>of</strong> jaw structures was observed as well as<br />

<strong>the</strong> occurrence <strong>of</strong> taste buds in <strong>the</strong> barbels. This process demonstrates that <strong>the</strong> larvae do not possess <strong>the</strong> feeding<br />

function before <strong>the</strong> start <strong>of</strong> ossification in jaw structures and <strong>the</strong> appearance <strong>of</strong> taste buds in barbel (Table 2). In<br />

several marine species as reported earlier, e.g. Chanos chanos (Morioka 1993) and Psetta maxima (M. Moteki, pers.<br />

comm.), <strong>the</strong> pectoral fin bud appeared before or at <strong>the</strong> onset <strong>of</strong> feeding. However, in C. gariepinus, <strong>the</strong> cleithrum<br />

appeared at 70 h (Table 2) and <strong>the</strong> pectoral fin structures appeared <strong>the</strong>reafter (112 h) (Table 2), showing that <strong>the</strong><br />

pectoral fin is functionally not related with <strong>the</strong> onset <strong>of</strong> feeding in this species. This suggests that <strong>the</strong> larval C.<br />

gariepinus have different feeding manners from Chanos chanos, in an aspect <strong>of</strong> <strong>the</strong> utility <strong>of</strong> pectoral fin being<br />

relevant to swimming manner. In addition, Taki et al. (1987) reported that <strong>the</strong> swimming manner shifts from <strong>the</strong><br />

undulation to caudal propulsion when <strong>the</strong> structures in caudal fin are ossified in Chanos chanos larvae, while it was<br />

observed that <strong>the</strong> larval C. gariepinus was not likely to have such change in <strong>the</strong> swimming manner. Although lots <strong>of</strong><br />

fish species have pelagic larval stages and feed on suspended organisms as reported in marine fin fish species<br />

(Tanaka 1975), C. gariepinus are ra<strong>the</strong>r benthic even in pre-larval stage with negative phototaxis and it does not<br />

have <strong>the</strong> planktonic / pelagic larval phase. Such ecological differences seem to be relevant to <strong>the</strong> above-mentioned<br />

differences in morphological development.<br />

Conclusive note<br />

In this study, <strong>the</strong> preliminary information <strong>of</strong> <strong>the</strong> larval biology in relation to <strong>the</strong> onset feeding was obtained. The<br />

elucidated features are; 1) Clarias gariepinus larvae have <strong>the</strong> strong starvation tolerance supported by <strong>the</strong> long-term<br />

retention <strong>of</strong> yolk sac, 2) this species has a relatively long period to utilize both endogenous and exogenous energy<br />

sources, 3) <strong>the</strong> PNR <strong>of</strong> this species is around 9~10-days after hatching that indicates <strong>the</strong> larvae require to start<br />

feeding before reaching <strong>the</strong> PNR for higher survival, and 4) <strong>the</strong> larvae <strong>of</strong> this species are able to start feeding when<br />

<strong>the</strong>y possess <strong>the</strong> ossified jaw structures and <strong>the</strong> appearance <strong>of</strong> taste buds in barbel. However, <strong>the</strong> survival <strong>of</strong> fish<br />

larvae is strongly influenced by <strong>the</strong> quality <strong>of</strong> bloodstock and eggs that also affect <strong>the</strong> subsequent development <strong>of</strong><br />

feeding functions. In addition, <strong>the</strong> development <strong>of</strong> feeding functions is relevant to <strong>the</strong> development in morphology,<br />

especially in skeletal structures as shown in Taki et al. (1987). For fur<strong>the</strong>r consideration on <strong>the</strong> survival and feeding<br />

aspects relevant not only to aquaculture but <strong>the</strong> biological features in <strong>the</strong> wild, <strong>the</strong> detailed investigation on <strong>the</strong><br />

maternal factors such as egg quality and skeletal development would be necessary.


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Acknowledgements<br />

We thank Mr. O. Matambo and his colleagues for assisting us in <strong>the</strong> hatchery activities. We are also grateful to<br />

Japan International Cooperation Agency (JICA) for giving us <strong>the</strong> opportunity to conduct this study.<br />

References<br />

Blaxter, J.H.S. and G. Hempel. 1963. The influence <strong>of</strong> egg size on herring larvae (Clupea harrengus). J. Cons. Int. Explor. Mer.,<br />

28:211-240.<br />

Haylor, G.S. 1992. African catfish hatchery manual. Institute <strong>of</strong> Aquaculture, University <strong>of</strong> Stirling, Stirling.<br />

Kawamura, K. and K. Hosoya. 1991. A modified double staining technique for making a transparent fish-skeletal specimen. Bull.<br />

Natl. Res. Inst. Aquaculture, 20: 11-18.<br />

Kohno, H. 1998. Early life history features influencing larval survival <strong>of</strong> cultivated tropical finfish. In: Tropical mariculture, (ed.)<br />

S.S. De Silva, Pages 71-111, Academic Press, London.<br />

Kohno, H., M. Duray, A. Gallego and Y. Taki. 1990. Survival <strong>of</strong> larval milkfish, Chanos chanos, during changeover from<br />

endogenous to exogenous energy sources. Proc. Sec. Asian Fish. Forum, 437-440.<br />

Rana, K.J. 1985. Influence <strong>of</strong> egg size on <strong>the</strong> growth, onset <strong>of</strong> feeding, point-<strong>of</strong>-no-return, and survival <strong>of</strong> unfed Oreochromis<br />

mossambicus fry. Aquaculture, 46: 119-131.<br />

Taki, Y., H. Kohno and S. Hara. 1987. Morphological aspects <strong>of</strong> <strong>the</strong> development <strong>of</strong> swimming and feeding functions in <strong>the</strong><br />

milkfish Chanos chanos. Japan. J. Ichthyol., 34(2): 198-208.<br />

Tanaka, M. 1975. Digestive systems in fish juveniles. In.: Feeding and Development <strong>of</strong> Fish Juveniles, Pages 7-23, (eds.) T. Iwai<br />

and H. Tsukahara, Kouseisya Kouseikaku, Tokyo. (in Japanese)<br />

Tsuchiya, M. 1976. Aquaculture <strong>of</strong> catfish. In: Freshwater Aquaculture, Pages 429-434, (ed.) D. Inaba, Kouseisya Kouseikaku,<br />

Tokyo. (in Japanese)<br />

Viveen, W.J.A.R., C.J.J. Richter, P.G.W.J. van Oordt, J.A.L. Janssen and E.A. Huisman. 1985. Practical Manual for <strong>the</strong> culture<br />

<strong>of</strong> <strong>the</strong> African catfish (Clarias gariepinnus). Ministry <strong>of</strong> foreign affairs <strong>of</strong> <strong>the</strong> Ne<strong>the</strong>rlands, Agricultural University <strong>of</strong><br />

Wageningen and University <strong>of</strong> Utrecht, Hague.<br />

Watanabe, T. 1988. Fish nutrition. In: Fish Nutrition and Mariculture, Pages 1-77, Japan International Cooperation Agency,<br />

Tokyo.<br />

Wiggins, T.A., T.R. Bender, Jr., V.A. Mudrak and J.A. Coil. 1985. The development, feeding, and survival <strong>of</strong> cultured American<br />

shad larvae through <strong>the</strong> transition from endogenous to exogenous nutrition. Prog. Fish-Cul., 47: 87-93.<br />

Yamashita, T. and T. Aoyama. 1985. Hatching time, yolk sac absorption, onset <strong>of</strong> feeding, and early growth <strong>of</strong> <strong>the</strong> Japanese sand<br />

eel Ammodytes personatus. Nippon Suisan Gakkaishi, 51: 1777-1780.


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Effect <strong>of</strong> temperature on oocyte development <strong>of</strong> Oreochromis karongae<br />

(TREWAVAS)<br />

L.J. Kamanga, 1 E. Kaunda, 1 J.P. Mtimuni 1 , A.O. Maluwa 2 and M.W. Mfitilodze 1<br />

1 Bunda College <strong>of</strong> Agriculture, P.O. Box 219, Lilongwe.<br />

2 National Aquaculture Centre P.O. Box 44, Domasi.<br />

Abstract<br />

Oreochromis karongae (Trewavas) is one <strong>of</strong> <strong>the</strong> indigenous Tilapias that exhibit favorable traits for aquaculture in Malawi. However,<br />

fingerling production has been a problem. An experiment was <strong>the</strong>refore carried out to find <strong>the</strong> effect <strong>of</strong> temperature on oocyte<br />

development <strong>of</strong> <strong>the</strong> fish. Female O. karongae were reared under two temperature regimes, room (20.3±� 0.8 o C) and raised (26.5 ± �<br />

�0.5 o C) for 90 days while changes in gonadosomatic index (GSI) and oocyte developmental stages were followed every 45 days.<br />

Fish samples from <strong>the</strong> pond in which experimental fish were collected were used for comparison. Results showed that raising<br />

temperature to 26.5 ± 0.5 o C significantly enhanced oocyte development. Higher GSI (p


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circulating throughout <strong>the</strong> experimental period and temperature was monitored daily in <strong>the</strong> morning and in <strong>the</strong><br />

afternoon.<br />

The fish were fed twice per day at 3 % body weight. Apart from <strong>the</strong> two treatments, some fish samples from <strong>the</strong><br />

pond in which experimental fish were collected were used for comparison.<br />

Sampling <strong>of</strong> oocytes<br />

Nine fish from each treatment were sacrificed after every 45 days. The fish were weighed and dissected. Ovaries<br />

were removed, weighed and gonadosomatic index (GSI) was calculated as:<br />

GSI = gonad mass (g) x 100/ total body mass (g) (Crim and Glebe 1990)<br />

Macroscopic stages <strong>of</strong> <strong>the</strong> gonads were observed and classified according to Ricker, (1971). Ovaries from 3 fish in<br />

each treatment were fixed in Bouin’s solution for histological purposes immediately after post mortem. After 4-24<br />

hrs, <strong>the</strong>y were washed in 50 % ethanol and stored in 70 % ethanol.<br />

Water quality <strong>management</strong><br />

To maintain suitable water quality, bi<strong>of</strong>ilters were placed in each aquarium and air was supplied continuously. Fish<br />

excreta and leftover feed were siphoned out daily. Water in <strong>the</strong> aquaria was changed once every week. Apart from<br />

temperature, dissolved oxygen, pH, and ammonia levels were monitored.<br />

Histological analyses<br />

Histological analyses were done at <strong>the</strong> College <strong>of</strong> Medicine, University <strong>of</strong> Malawi, in Blantyre. The middle, distal<br />

and proximal ends <strong>of</strong> each ovary were prepared according to Hinton (1990). In summary, tissues was washed in a<br />

series <strong>of</strong> formalin, alcohol, wax and toluene and <strong>the</strong>n embedded in wax blocks. The wax blocks were cut and<br />

stained with hematoxylin and eosin (H & E). The samples were <strong>the</strong>n mounted on slides and observed under a<br />

microscope.<br />

Observations on ovarian tissue from histological samples were classified into five stages <strong>of</strong> maturity based on <strong>the</strong><br />

abundant gametogenic cell types present (Table 1) after modification <strong>of</strong> <strong>the</strong> classification by Crim and Glebe (1990).<br />

Oocytes were observed under <strong>the</strong> microscope at x100 magnification. Three fields were sampled in each histological<br />

section and <strong>the</strong> different types <strong>of</strong> oocytes observed were counted. The number <strong>of</strong> a particular type <strong>of</strong> oocyte was<br />

<strong>the</strong>n expressed as a percentage <strong>of</strong> <strong>the</strong> total number <strong>of</strong> oocytes observed in <strong>the</strong> three fields.<br />

Table 1. Classification <strong>of</strong> maturity stages <strong>of</strong> oocytes in Oreochromis karongae<br />

Stage Description<br />

Immature Previtellogenic oocytes: small, spherical ovarian cells containing a central nucleus and<br />

increasing amounts <strong>of</strong> cytoplasm. The type <strong>of</strong> oocytes were <strong>the</strong> perinucleolar oocytes.<br />

Maturing Vitellogenic oocytes: oocytes that had incorporated <strong>the</strong> yolky material produced by <strong>the</strong><br />

liver. This consisted <strong>of</strong> early yolk vesicle and primary yolk granule oocytes.<br />

Mature These were largest oocytes and were filled with tertiary yolk granules<br />

Post<br />

follicles<br />

ovulatory Consisted <strong>of</strong> empty follicles and corpora lutea<br />

Dying Oocytes that showed signs <strong>of</strong> dying.<br />

Data analysis<br />

A t-test was used to analyze for differences in <strong>the</strong> GSI <strong>of</strong> fish. Percentages <strong>of</strong> oocytes from histological sections<br />

were transformed to natural logarithm (ln) and subjected to <strong>the</strong> general linear model (GLM) <strong>of</strong> Statistical Analysis<br />

System (SAS) package to test differences in <strong>the</strong> relative frequency <strong>of</strong> oocyte stages. Where significant differences<br />

appeared, means were separated using Scheffe’s test at 5 % probability.


Results<br />

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Gonad development<br />

Raised temperature was maintained at 26.5 ± 0.5 o C. Room temperature fluctuated between 18.5 ± 0.8°C in <strong>the</strong><br />

morning and 19.2 ± 0.8 o C in <strong>the</strong> afternoon during <strong>the</strong> first 45 days. In <strong>the</strong> next 45 days temperature was 21.4 ±<br />

0.7°C in <strong>the</strong> morning and 22.0 ± 0.8 o C in <strong>the</strong> afternoon. In ponds <strong>the</strong> temperature was 22.0 ± 1.9 o C. Some fish died<br />

during <strong>the</strong> acclimatization period. The mortality rate in raised and room temperatures was 4 and 37 %, respectively.<br />

Fish from raised temperature had higher GSI than fish at room temperature (p


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Table 3. Mean gonadosomatic index <strong>of</strong> Oreochromis karongae females from raised and pond<br />

temperature<br />

Day Raised temperature Pond temperature<br />

Mean GSI SE Mean GSI SE<br />

0 0.13 0.012 0.13 0.012<br />

45 0.817 0.657 a 0.217 0.012 b<br />

90 1.133 0.471 a 0.257 0.027 b<br />

Means with different superscripts in <strong>the</strong> same row<br />

are significantly different (p


Percentage (%)<br />

100<br />

90<br />

80<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

im mg mt<br />

Oocyte type<br />

po dy<br />

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room<br />

raised<br />

pond<br />

Figure 3. Number <strong>of</strong> immature (im), maturing (mg), mature (mt), dying (dy) oocytes and post ovultory<br />

follicles (po) expressed as a percentage <strong>of</strong> <strong>the</strong> total number <strong>of</strong> oocytes in each histological section after<br />

45 days <strong>of</strong> <strong>the</strong> experiment<br />

Percentage (%)<br />

90<br />

80<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

im mg mt po<br />

Oocyte type<br />

room<br />

raised<br />

pond<br />

Figure 4. Number <strong>of</strong> immature (im), maturing (mg), mature (mt) oocytes and post ovultory follicles (po)<br />

expressed as a percentage <strong>of</strong> <strong>the</strong> total number <strong>of</strong> oocytes in each histological section after 90 days <strong>of</strong> <strong>the</strong><br />

experiment<br />

Temperature influenced (p


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Table 5. Mean number <strong>of</strong> immature, maturing, mature, dying oocytes and post ovulatory follicles<br />

expressed as a percentage (transformed to natural logarithm) <strong>of</strong> <strong>the</strong> total number <strong>of</strong> oocytes in each<br />

histological section at different times and temperature regimes.<br />

Period Treatment Oocyte type/Mean percentage transformed to natural logarithm<br />

Immature Maturing Mature *POF Dying<br />

Initial 3.21 1.79 1.2 0.87 0.81<br />

Day 45 Room 0.90±0.45 a 4.49±0.67 a 0.45±0.38 b 1.11±0.33 a 2.78±0.55 a<br />

Raised 0.14±0.28 a 1.54±0.41 b 3.15±0.24 a 0.45±0.20 a 0.83±0.34 b<br />

Pond 1.06±0.46 a 4.82±0.68 a 0.13±0.39 b 0.57±0.34 a 1.12±0.56 b<br />

Day 90 Room 1.63±0.44 b 4.30±0.36 a 0.07±0.30 b 0.73±0.33 a 0<br />

Raised 3.47±0.38 a 4.13±0.31 a 1.33±0.26 a 0.78±0.29 a 0<br />

Pond 1.34±0.28 b 4.05±0.23 a 1.72±0.19 a 2.02±0.21 b 0<br />

a, b<br />

Means with different superscripts within <strong>the</strong> same column and period are significantly different (p


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Figure 5. Oocytes from Oreochromis karongae reared at room, raised and pond temperature. A: Oocytes<br />

from fish samples at <strong>the</strong> onset <strong>of</strong> <strong>the</strong> experiment (24 th July 2000); B, C, and D: Oocytes from fish samples<br />

from room, raised and pond temperature after 45 days, respectively. E, F and G: Oocytes from fish<br />

samples from room, raised and pond temperature, respectively after 90 days<br />

Brummet (1995) suggested that temperatures outside <strong>the</strong> range <strong>of</strong> 22-36 o C during normal reproduction might act as<br />

a terminating cue (a factor that may interfere with final ovulation and spawning) in Tilapia. Since room temperature<br />

was outside <strong>the</strong> ideal range for oocyte development, oocyte development in fish from room temperature was inferior<br />

to that from raised temperature. Poor oocyte development observed at room temperature may mean that <strong>the</strong> low<br />

temperature interfered with <strong>the</strong> release <strong>of</strong> GtH by <strong>the</strong> hypothalamo-hypophyseal complex, which in turn slowed<br />

down vitellogenesis. Barnabe (1994) stated that temperature directly affects <strong>the</strong> production <strong>of</strong> GtH and eventually<br />

affect <strong>the</strong> vitellogenesis process. Jalabert and Zohar (1982) reported that exogenous vitellogenesis seems to be<br />

completely inhibited by low temperatures and all yolk-bidden oocytes disappear during <strong>the</strong> cold season.


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Low temperatures (below 20 o C) also reduce activity and feeding <strong>of</strong> tilapias (Chervinski 1982, Piper et al. 1982).<br />

Reduced feeding could be <strong>the</strong> o<strong>the</strong>r factor that might have contributed to poor ovarian development in fish raised<br />

under room temperature. Generally, a relatively lower feed intake was observed in fish under room temperature.<br />

The reduced feeding may have resulted in <strong>the</strong> fish using fat reserves from <strong>the</strong> body to provide metabolites for<br />

survival. Barnabe (1994), reported that if fat reserves are totally depleted, gonads provide <strong>the</strong> metabolites which<br />

allow <strong>the</strong> animal to survive. This may have occurred in fish that were kept at room temperature <strong>the</strong>reby resulting in<br />

poor gonad development in <strong>the</strong> fish.<br />

At <strong>the</strong> onset <strong>of</strong> <strong>the</strong> experiment, <strong>the</strong>re were more immature oocytes than during <strong>the</strong> rest <strong>of</strong> <strong>the</strong> sampling days. This<br />

was expected for two reasons. Firstly, <strong>the</strong> experimental fish were still growing and <strong>the</strong>refore oocytes were just<br />

developing at that time. Secondly, this was <strong>the</strong> coolest time <strong>of</strong> <strong>the</strong> year (July), which is outside <strong>the</strong> breeding period<br />

<strong>of</strong> O. karongae (Brooks and Maluwa 1997). Therefore, it was expected that <strong>the</strong> ovarian activity would be dormant,<br />

hence <strong>the</strong> advanced oocyte stages were not expected to dominate. The percentage <strong>of</strong> immature oocytes was lowest<br />

after 45 days <strong>of</strong> <strong>the</strong> experiment and increased again after 90 days. Increase <strong>of</strong> immature oocytes after 90 days may<br />

mean that <strong>the</strong> gonadal regression that was taking place in <strong>the</strong> ovaries stimulated development <strong>of</strong> more oocytes.<br />

Mature oocytes were most abundant in raised temperature. This was expected because this temperature level was<br />

within <strong>the</strong> range suitable for normal oocyte development in Tilapia (Chervinski 1982, Brummet 1995). The mature<br />

oocytes were also present throughout <strong>the</strong> experimental period because immature and maturing oocytes that were<br />

present were developing fur<strong>the</strong>r.<br />

The high relative frequency <strong>of</strong> maturing oocytes from <strong>the</strong> pond and room temperature may reflect <strong>the</strong> unfavorable<br />

conditions for oocyte development. Oocyte development may have been arrested to this stage while waiting for<br />

suitable conditions for development. It is however interesting to note that <strong>the</strong> proportions <strong>of</strong> maturing oocytes<br />

increased with time and were highest after 90 days implying that development from immature to maturing oocytes<br />

was enhanced with time. As room and pond temperatures were not controlled, <strong>the</strong> temperature increased with time<br />

due to change in season. The temperature was thus getting more favorable for <strong>the</strong> oocytes to develop from<br />

immature to maturing types.<br />

The presence <strong>of</strong> almost all <strong>the</strong> maturity stages <strong>of</strong> oocytes in <strong>the</strong> ovaries are in agreement with what Msiska (1998)<br />

found. The results show that O. karongae has asynchronous ovaries. DeVlaming (1983) as cited by West (1990)<br />

reported that most fish with asynchronous ovaries have protracted spawning seasons with multiple spawnings.<br />

Therefore <strong>the</strong>re may be a possibility that O. karongae can have protracted spawning seasons and/or multiple<br />

spawnings. This is evident from studies on <strong>the</strong> breeding season <strong>of</strong> O. karongae, which show that it has a prolonged<br />

spawning period in Lake Malombe (July-October) while in Lake Malawi it has two spawning peaks, August-<br />

October and December-February (Pálsson et al 1999). In <strong>the</strong> sou<strong>the</strong>rn part <strong>of</strong> Malawi (Thyolo), farmers report that<br />

O. karongae spawns throughout <strong>the</strong> year except during <strong>the</strong> cold season, which is from May to July (Jamu 2001,<br />

personal communication). The results <strong>of</strong> <strong>the</strong> current experiment show <strong>the</strong> possibility to circumvert <strong>the</strong> seasonal<br />

breeding <strong>of</strong> O. karongae in hatcheries by raising temperature to 26.5 ± 0.5 o C during <strong>the</strong> cold season.<br />

References<br />

Admassu, D. 1996. The breeding season <strong>of</strong> Tilapia, Oreochromis niloticus L. in Lake Awassa (Ethiopian rift valley).<br />

Hydrobiologia, 337:77-83.<br />

Barnabè, G. 1994. Biological basis <strong>of</strong> fish culture. In Barnabè, G. (ed.) Aquaculture: Biology and ecology <strong>of</strong> cultured species.<br />

Ellis Horwood. New York. pp. 227-372.<br />

Bromage, N.R. 1995. Broodstock <strong>management</strong> and seed quality. In Bromage, N.R. and Roberts, R.J. (eds.). Broodstock<br />

<strong>management</strong> and egg and larval quality. Blackwell Science Ltd. Oxford UK. pp. 1-24.<br />

Brooks, A. C. & Maluwa, A. O. 1997. Fish farming in Malawi: A case study <strong>of</strong> <strong>the</strong> Central and Nor<strong>the</strong>rn Regions Fish Farming<br />

Project. Technical Supplement: On-station trials. Government <strong>of</strong> Malawi and European Commission. 37p.<br />

Brummett, R. E. 1995. Environmental regulation <strong>of</strong> sexual maturation and reproduction in Tilapia. Reviews in Fisheries Science,<br />

3:231-248.<br />

Chervinski, J. 1982. Environmental physiology <strong>of</strong> Tilapias. In R.S.V. Pullin and R.H. Lowe-McConnell (eds.) The biology and<br />

culture <strong>of</strong> Tilapias. ICLARM Conference Proceedings 432p. International Center for Living Aquatic Resources<br />

Management, Manila, Philippines. p.119-128.<br />

Chmilevskiy, D.A. 1995a. Effect <strong>of</strong> reduced temperature on oogenesis <strong>of</strong> <strong>the</strong> mouth brooder, Oreochromis mossambicus 2. Effect<br />

on fish twenty-two days after hatching. Journal <strong>of</strong> Ichthyology, 35:72-80.<br />

Chmilevskiy, D.A. 1995b. Effect <strong>of</strong> reduced temperature on oogenesis in Tilapia, Oreochromis mossambicus. 3. Impact on fish at<br />

age 30 and 60 days after hatching. Journal <strong>of</strong> Ichthyology, 35:119-129.<br />

Chmilevskiy, D.A. and Lavrova, T.V. 1990. The influence <strong>of</strong> temperature on oogenesis in Tilapia, Oreochromis<br />

mossambicus. Journal <strong>of</strong> Ichthyology, 30:14-24.


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Crim, L.W. & Glebe, B.D. 1990. Reproduction. In Shreck, C.B. and Moyle, P.B. (ed.) 1990. Methods for fish biology. American<br />

Fisheries Society. Be<strong>the</strong>sda, Maryland. pp. 529-553.<br />

Das, P. & Ponniah, A.G. 1993. Research needs in fish breeding and genetics in aquaculture for <strong>the</strong> year 2000. In aquaculture<br />

research needs for 2000 A.D. AA Balkema/Rotterdam. India. pp. 181-195.<br />

Hinton, D.E. 1990. Histological techniques. In Shreck, C.B. and Moyle, P.B. (ed.) 1990. Methods for fish biology. American<br />

Fisheries Society. Be<strong>the</strong>sda, Maryland. pp. 191-211.<br />

Jalabert, B. & Zohar, Y. 1982. Reproductive physiology in cichlid fishes with particular reference to Tilapia and Saro<strong>the</strong>rodon.<br />

In R.S.V. Pullin and R.H. Lowe-McConnell (eds.) The biology and culture <strong>of</strong> Tilapias. ICLARM Conference<br />

Proceedings 432p. International Center for Living Aquatic Resources Management, Manila, Philippines. p.129-140.<br />

Msiska, O.V. 1998. Reproductive biology and growth <strong>of</strong> Oreochromis (Nyasalapia) karongae in ponds and open water in<br />

Malawi. Ph.D. Thesis. University <strong>of</strong> Malawi. 221p.<br />

Msiska, O.V. & Costa-Pierce, B.A. 1997. Factors affecting <strong>the</strong> spawning success <strong>of</strong> Oreochromis karongae (Trewavas) in ponds.<br />

Aquaculture Research, 28:87-99.<br />

Pálsson, Ó. K., Bulirani, A. & Banda, A. 1999. A review <strong>of</strong> biology, <strong>fisheries</strong> and population dynamics <strong>of</strong> chambo (Oreochromis<br />

spp., CICHLIDAE) in Lakes Malawi and Malombe. Government <strong>of</strong> Malawi. Fisheries Department. Fisheries Bulletin<br />

No.38. 35p.<br />

Piper, R.G., McElwain, I.B., Orme, L.E., McCaren, J.P., Fowler, L.G., & Leonard, J.R. 1982. Fish Hatchery <strong>management</strong>. US<br />

Department <strong>of</strong> <strong>the</strong> Interior Fish and Wildlife Services. Washington D.C. 517p.<br />

Ricker, W.E. 1971. Methods for assessment <strong>of</strong> fish production in fresh waters. IBP Handbook 3:348p.<br />

SAS. 1996. The Statistical Analysis System. SAS Institute Inc. Cary, NC 27513. USA.<br />

Srisakultiew, P. & Wee, K.L. 1988. Synchronous spawning <strong>of</strong> Nile Tilapia through hypophysation and temperature manipulation.<br />

In Pullin, R.S.V.,Bhukaswan, T., Tonguthai, K. and Maclean, J.L. (eds.). The second international <strong>symposium</strong> on<br />

Tilapia on aquaculture. 623p. Department <strong>of</strong> Fisheries, Bangkok, Thailand and International Center for Living Aquatic<br />

Resources and Management. Manila, Philippines. ICLARM conference <strong>proceedings</strong>. p.275-284.<br />

Subasinghe, R.P. & Somerville, C. 1992. Effects <strong>of</strong> temperature on hatchability, development and growth <strong>of</strong> eggs and yolk-sac<br />

fry <strong>of</strong> Oreochromis mossambicus (Peters) under artificial incubation. Aquaculture and Fisheries Management, 23:31-<br />

39.<br />

West, G. 1990. Methods <strong>of</strong> assessing ovarian development in fishes: A review. Aust. J. Mar. Freshwater Res. 41:199-222.


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The Effect <strong>of</strong> Feeding Density on Survival 0f African Cat Fish Clarias gariepinus<br />

H. K. Zidana & A.O. Maluwa<br />

National Aquaculture Centre, P.O. Box 44, DOMASI. Malawi. E:mail-nac@sdnp.org.mw<br />

Abstract<br />

Results on <strong>the</strong> study <strong>of</strong> <strong>the</strong> relationship between feeding density and survival <strong>of</strong> Clarias gariepinus fry are presented. This study was<br />

carried out at National Aquaculture Centre with <strong>the</strong> objective <strong>of</strong> finding out <strong>the</strong> optimum number <strong>of</strong> zooplankton that can improve <strong>the</strong><br />

survival <strong>of</strong> fry to fingerling stage. C. gariepinus, fry 4 days, old were stocked in 50 litre tanks for 30 days at a rate <strong>of</strong> 20 fry in each<br />

tank. Four zooplankton densities were used 5, 10 and 30 zooplankton/ml <strong>of</strong> water, <strong>the</strong> control was 0 zooplankton /ml <strong>of</strong> water. Each<br />

density was replicated 3 times and every 3 days <strong>the</strong> number <strong>of</strong> fish in each tank was counted. Highest survival rates (80%) were<br />

obtained from tanks in which <strong>the</strong> fish were fed 30 zooplankton/ml and <strong>the</strong>se were significantly different (P


Copepoda<br />

Figure 1. Zooplankton used in <strong>the</strong> feeding experiment.<br />

Table 1. The lay out <strong>of</strong> <strong>the</strong> experiment according to different feeding levels<br />

Tank1<br />

5 zooplankton/ml<br />

Tank2<br />

10 zooplankton/ml<br />

Tank3<br />

30 zooplankton/ml<br />

Tank4<br />

10 zooplankton/ml<br />

Tank5<br />

5 zooplankton/ml<br />

Tank6<br />

0 zooplankton/ml<br />

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Tank7<br />

30 zooplankton/ml<br />

Tank8<br />

0 zooplankton<br />

Tank9<br />

10 zooplankton/ml<br />

Tank10<br />

0 zooplankton/ml<br />

Tank11<br />

30 zooplankton<br />

Tank12<br />

5 zooplankton/ml<br />

Results and discussion<br />

After 30 days <strong>of</strong> carrying out <strong>the</strong> experiment, <strong>the</strong> results showed that fish fed with 30 zooplanktons/ml had 80%<br />

survival rate, fish fed with 10 zooplanktons had survival rate <strong>of</strong> 67%, fish fed with 5 zooplanktons had a survival <strong>of</strong><br />

50% and fish not fed with zooplankton had 0% survival rate.<br />

All <strong>the</strong> fish in <strong>the</strong> 0 zooplankton/ml were dead by <strong>the</strong> 15 th day <strong>of</strong> <strong>the</strong> experiment and <strong>the</strong> experiment continued with<br />

<strong>the</strong> o<strong>the</strong>r three feeding levels as shown in Figure 2.<br />

SURVIVAL RATE (%)<br />

100<br />

80<br />

60<br />

Cladocera Rotifer<br />

40<br />

30 Zpl/ml<br />

10 Zpl/ml<br />

20<br />

5 Zpl/ml<br />

0<br />

0 Zpl/ml<br />

6 9 12 15 18 21 24 27 30<br />

CULTURE PERIOD (DYS)<br />

Figure 2. The trend <strong>of</strong> survival rate % <strong>of</strong> African catfish fed different density <strong>of</strong> zooplankton/ml <strong>of</strong> water<br />

during <strong>the</strong> period <strong>of</strong> <strong>the</strong> experiment.<br />

The results showed that <strong>the</strong>re is a positive relationship between <strong>the</strong> zooplankton density and <strong>the</strong> survival rate <strong>of</strong> <strong>the</strong><br />

fry i.e. <strong>the</strong> higher <strong>the</strong> zooplankton density <strong>the</strong> higher <strong>the</strong> survival rate <strong>of</strong> fry. However <strong>the</strong> number <strong>of</strong> zooplankton<br />

can only be increased up to a certain point, if <strong>the</strong> number <strong>of</strong> zooplankton increases up to 50/ml all <strong>the</strong> fry were dead<br />

within 3 days <strong>of</strong> culture.


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Apart from <strong>the</strong> feed density o<strong>the</strong>r factors also contributed to <strong>the</strong> death <strong>of</strong> <strong>the</strong> fry in this trial. In 30 zooplankton/ml<br />

feeding density <strong>the</strong> death <strong>of</strong> fry was mainly contributed by <strong>the</strong> aggressive territorial behavior <strong>of</strong> <strong>the</strong> fry. This was<br />

also reported by Hetch and Applebaum (1988), in <strong>the</strong>ir trial apart from cannibalism death <strong>of</strong> fry was due to fatal<br />

aggressive territorial encounters between two or more individuals which is a common behavior in young Clarias<br />

gariepinus.<br />

The lowest survival rate was in <strong>the</strong> 0 zooplankton/ml density was due to starvation. There were evidences <strong>of</strong> type-1<br />

cannibalism during <strong>the</strong> first 7 days <strong>of</strong> culture and after that <strong>the</strong> fry were very weak so much and <strong>the</strong>y died due to<br />

starvation.<br />

The data analysis showed that <strong>the</strong>re is a significant difference (P < 0.05) in feeding <strong>the</strong> fish with 30 zooplankton/ml<br />

against all <strong>the</strong> feeding densities and that <strong>the</strong>re is no significant difference (P < 0.05) in feeding <strong>the</strong> fish with 5 and 10<br />

zooplankton/ml. However all <strong>the</strong> feeding densities were significantly different (P


245<br />

Lake Malawi Fisheries Management Symposium - Proceedings<br />

Determination <strong>of</strong> <strong>the</strong> time interval between <strong>the</strong> prime and resolving dosages <strong>of</strong><br />

Cyprinus carpio hormone dose to artificially induce Opsaridium microlepis to<br />

breed<br />

P. Kataya, H. Zidana & A.O. Maluwa<br />

National Aquaculture Centre, P.O. Box 44, Domasi, Malawi.<br />

Abstract<br />

The Results on <strong>the</strong> study <strong>of</strong> final oocyte maturation <strong>of</strong> Opsaridium microlepis, “ Mpasa”, in response to <strong>the</strong> first (prime) dose and <strong>the</strong><br />

second (resolving) dose <strong>of</strong> Cyprinus carpio pituitary gland are presented. The objective was to determine <strong>the</strong> optimum time interval<br />

between <strong>the</strong> prime and resolving dosages to induce ovulation in <strong>the</strong> fish. Mature broodstock <strong>of</strong> 250g, that were collected directly<br />

from <strong>the</strong>ir wild source, i.e. Linthipe River, were injected with C. carpio pituitary gland extract at <strong>the</strong> rate <strong>of</strong> 5mg/kg female body<br />

weight. This dose was split into two, <strong>the</strong> prime and <strong>the</strong> resolving dosages. The fish received 10% <strong>of</strong> <strong>the</strong> total dose as a prime and<br />

90% as <strong>the</strong> resolving dose, at three time intervals <strong>of</strong> 9, 12 and 15 hours separating <strong>the</strong> dosages. All fish ovulated when <strong>the</strong> time<br />

interval between <strong>the</strong> first and second injection was 12 hours. When <strong>the</strong> eggs were fertilized, hatchability was 76.6%. The fish did not<br />

ovulate when <strong>the</strong> resolving dosages were given at 9 and 15 hours. The results are discussed with reference to application <strong>of</strong> <strong>the</strong><br />

protocols developed in this study to produce mass fingerling <strong>of</strong> this species for aquaculture.<br />

Introduction<br />

Opsaridium microlepis locally known as ‘mpasa’ is endemic to Lake Malawi and it attains a weight <strong>of</strong> at least 2.5kg<br />

(Msiska 1990). The fish is commonly caught in <strong>the</strong> nor<strong>the</strong>rn and central regions <strong>of</strong> Malawi, where it ascends rivers<br />

like Songwe, Bua and Linthipe to breed in clear running water in <strong>the</strong> rivers. O. microlepis is an important<br />

commercial species <strong>of</strong> Lake Malawi. The fish fetches high prices on <strong>the</strong> market and this has led to its over<br />

exploitation and hence <strong>the</strong> catches from <strong>the</strong> wild have declined (Tweddle 1981 in Msiska 1990).<br />

Research on <strong>the</strong> suitability <strong>of</strong> indigenous cyprinids for aquaculture has not been done in detail, despite <strong>the</strong> fact that<br />

Malawi has cyprinids in <strong>the</strong> genera, Barbus, Labeo and Opsaridum (Maluwa et al. 1997). In o<strong>the</strong>r countries<br />

cyprinids have been farmed in aquaculture for <strong>the</strong>ir high value and export potential, for example <strong>the</strong> Norwegian<br />

Salmon and Rainbow trout.<br />

The National Aquaculture Centre is screening indigenous cyprinids for <strong>the</strong>ir suitability in aquaculture in Malawi and<br />

O. microlepis would be <strong>the</strong> most suited candidate for commercial aquaculture development in Malawi because <strong>of</strong> its<br />

large maximum body weight, high market value and demand.<br />

Initial studies on <strong>the</strong> Gonad Somatic Index (GSI) show that <strong>the</strong> breeding season for <strong>the</strong> species is between May and<br />

August. As a fish that migrates to breed in clear running waters in <strong>the</strong> river, O. microlepis require artificial induced<br />

breeding. Previous efforts to breed <strong>the</strong> fish did not succeed because <strong>the</strong> time interval between <strong>the</strong> prime and<br />

resolving dosages were unknown. The objective <strong>of</strong> this study was to determine <strong>the</strong> optimum time interval between<br />

<strong>the</strong> prime and resolving dosages that would induce ovulation in <strong>the</strong> fish.<br />

Materials and Methods<br />

This study was conducted in <strong>the</strong> hatchery at National Aquaculture Centre (NAC). Mature females and males, <strong>of</strong><br />

250g body-weight were collected from Linthipe river in <strong>the</strong> central region. The fish were collected during <strong>the</strong><br />

months <strong>of</strong> January – October, as <strong>the</strong>y migrated to breeding grounds. The fish were transported to NAC and after<br />

initial quarantine exercise in tanks <strong>the</strong>y were taken into hatchery for artificial induced breeding.<br />

The fish were given a dose <strong>of</strong> 5mg/kg body weight <strong>of</strong> C. carpio pituitary gland extract. Of this dose, 10% was given<br />

as a prime dose and <strong>the</strong> rest 90% was given as a resolving dose. The gland was removed from a donor C. carpio<br />

obtained from <strong>the</strong> farm at NAC. The treatments were <strong>the</strong> time interval between <strong>the</strong> prime and resolving dosages.<br />

There were 3 time intervals that were tested, which were, 9, 12 and 15 hrs. Each treatment was replicated 4 times.<br />

The males were given 50% <strong>of</strong> <strong>the</strong> female dosege i.e. 2.5mg/kg body weight only once, when <strong>the</strong> females were given<br />

<strong>the</strong> resolving dose.<br />

The oocyte maturation stages were determined by sampling <strong>the</strong> oocytes from <strong>the</strong> ovary by using a plastic tube, and<br />

<strong>the</strong>n observing oocytes under <strong>the</strong> stereoscopic microscope. In order to observe <strong>the</strong> nucleus <strong>of</strong> <strong>the</strong> oocytes, <strong>the</strong>y were<br />

placed in petri dish with Sera’s solution (60 % ethanol, 30 % formalin and 10% acetic acid). In maturing oocytes <strong>the</strong><br />

nucleus (Germinal Vesicle) migrates to <strong>the</strong> animal pole where it breaks and disappears in mature oocytes. This


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

phenomenon known as geminal vesicle migration and break down was used as a biological indicator to determine<br />

<strong>the</strong> oocyte maturation stages as shown in<br />

Figure1: Discrimination on position <strong>of</strong> Germinal Vesicle in Oocytes with Sera’s solution<br />

When oocyte development processes are completed (vitellogenesis), <strong>the</strong> oocytes reach stage I <strong>of</strong> maturation, in<br />

which <strong>the</strong> germinal vesicle is at <strong>the</strong> center. The final oocyte maturation process follows <strong>the</strong> migration <strong>of</strong> <strong>the</strong><br />

germinal vesicle from <strong>the</strong> center to <strong>the</strong> animal pole, where it breaks down at stage V and <strong>the</strong> oocyte is ovulated into<br />

a fertilizable egg in stage VI. When <strong>the</strong> egg reaches stage VII, it is degenerated and hence not fertilizable. This<br />

phenomenon is known as over ripening. The injected brood stock were put in 500 litre conical tanks at a ratio <strong>of</strong> 1:1<br />

(Male:female). The fish were expected to ovulate within 18 hours at <strong>the</strong> incubation temperature <strong>of</strong> 26 0 C. After 18<br />

hours, <strong>the</strong> fish were stripped <strong>of</strong>f <strong>the</strong>ir eggs and artificially fertilized with sperm contained in milt that was stripped<br />

from <strong>the</strong> males. The fertilized eggs were incubated in zug jars in <strong>the</strong> laboratory at NAC. The incubation temperature<br />

was 26 0 C. The eggs hatched after 24 hours and hatchability was determined from <strong>the</strong> total number <strong>of</strong> fertilized eggs<br />

and that number which hatched.<br />

Results<br />

All <strong>the</strong> fish that were given <strong>the</strong> second resolving dose 9 hrs and 15 hrs after <strong>the</strong> prime dose did not ovulate. The<br />

oocytes in fish given <strong>the</strong> resolving dose at 9 hours passed through <strong>the</strong> stages <strong>of</strong> oocyte maturation and degenerated<br />

in stage VII. These eggs did not hatch when fertilized. The fish that were given a resolving dose 15 hours after <strong>the</strong><br />

prime dose, <strong>the</strong>ir oocytes never matured beyond stage IV, i.e. <strong>the</strong> oocyte maturation processes were arrested at stage<br />

IV. These eggs when stripped and fertilized after 18 hours, did not hatch. Ovulation at stage VI occurred when <strong>the</strong><br />

fish were given a resolving dose 12 hours after <strong>the</strong> prime dose. These eggs when stripped were fertilizable and<br />

hatched after 24 hours <strong>of</strong> incubation. The hatchability rate was 76.6%. The relationship between time intervals,<br />

number <strong>of</strong> eggs stripped, fertilization and hatchability rates is shown in Table 1.<br />

Table 1: The relationship between time interval separating <strong>the</strong> prime and resolving dosages and number<br />

<strong>of</strong> eggs produced and fertilization and hatchability rates.<br />

Time Interval (Hours) Eggs Produced Fertilization rate (%) Hatchability (%)<br />

9<br />

12<br />

15<br />

6,500<br />

6,994<br />

6,000<br />

There was no significant difference in <strong>the</strong> number <strong>of</strong> eggs stripped across <strong>the</strong> three time intervals. However, <strong>the</strong> 12<br />

hour interval gave significantly (P< 0.01) higher rate <strong>of</strong> fertilized eggs and hatchability (Table 1).<br />

0<br />

84<br />

0<br />

0<br />

76.6<br />

0


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Discussion<br />

Most <strong>of</strong> <strong>the</strong> work on induced breeding <strong>of</strong> cyprinids, show that <strong>the</strong> fish require two injections, i.e. <strong>the</strong> prime and<br />

resolving dosages. The prime dose is used to induce final oocyte maturation and <strong>the</strong> second dose to induce<br />

ovulation. Similar work on cyprinids with <strong>the</strong> Indian major carps, <strong>the</strong> time period between <strong>the</strong> prime and resolving<br />

dosages was 6 hours. The priming dose was 20% and <strong>the</strong> resolving dose was 80%. With <strong>the</strong>se dosages and times,<br />

spawning was expected 4 to 6 hours after <strong>the</strong> resolving dose (Pullin and Jhingran 1985). The results in this trial<br />

show that O. microlepis has lower priming dose <strong>of</strong> 10% and higher resolving dose <strong>of</strong> 90%. In addition O. microlepis<br />

has a longer oocyte maturation period (18 hours).<br />

Having defined <strong>the</strong> right time interval for <strong>the</strong> fish to breed successfully, fur<strong>the</strong>r work is underway to establish <strong>the</strong><br />

production <strong>of</strong> mass fingerlings using <strong>the</strong> protocols developed in this study.<br />

Acknowledgements<br />

This work forms part <strong>of</strong> <strong>the</strong> JICA Aquaculture Project activities at <strong>the</strong> National Aquaculture Centre. The project was<br />

jointly funded by <strong>the</strong> Malawian and Japanese Governments.<br />

References<br />

Maluwa, A. O., Kamakura, M & Sakai, K. 1997. Induced Maturation and Ovulation <strong>of</strong> Grass Carp (Ctenopharygodon idellus). In<br />

<strong>proceedings</strong> <strong>of</strong> <strong>the</strong> first Regional Workshop on Aquaculture, Bunda College <strong>of</strong> agriculture, Lilongwe, Malawi.<br />

1997:86-92.<br />

Msiska, O.V. 1990. Reproductive Strategies <strong>of</strong> two cyprinid fishes in Lake Malawi and <strong>the</strong>ir relevance for aquaculture<br />

development. In aquaculture and Fisheries Management 1990, 21, 67-75.<br />

Msiska, O. V. 1991. Induced spawning and Early growth <strong>of</strong> Mpasa (Opsaridium microlepis) and Ntchila (Labeo mesops) in tanks<br />

and ear<strong>the</strong>rn ponds. In Aquaculture Research in Africa, Pudoc Wagenigeni,:P 159-168.<br />

Pullin, R. S. V & Jhingran, V.G.1985. A hatchery manual for <strong>the</strong> common, Chinese and Indian major carps. ICLARM studies<br />

and Reviews 11, 191 p. Asian Development Bank, Manila, Phillipines and International Centre for Living Aquatic<br />

Resources Management, Manila, Phillipines.<br />

Tweddle, D. 1987. An Assesment <strong>of</strong> <strong>the</strong> Growth Rate <strong>of</strong> Mpasa, Opsaridium miclolepis, by length frequency analysis. In Journal<br />

<strong>of</strong> Limnology Society Sou<strong>the</strong>rn Africa 13(2), 52-57.


248<br />

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Determination <strong>of</strong> biological reference points for Lake Malawi cichlids<br />

Anthony J. Booth<br />

Department <strong>of</strong> Ichthyology and Fisheries Science, Rhodes University, P.O. Box 94 Grahamstown 6140, SOUTH AFRICA Email:<br />

t.booth@ru.ac.za<br />

Abstract<br />

Biological reference points (BRPs) - values that represent <strong>the</strong> state <strong>of</strong> a fishery or population - are commonly used to guide<br />

<strong>management</strong> decisions. BRPs are expressed as a function <strong>of</strong> fishing mortality and are derived from models that describe <strong>the</strong><br />

population dynamics <strong>of</strong> a resource. These models include dynamic pool, spawner-recruit and production models. Unfortunately, in<br />

<strong>the</strong> absence <strong>of</strong> long-term <strong>fisheries</strong> data, such as abundance indices and catches-at-age, it is only dynamic pool models, usually<br />

known as yield-per-recruit and spawner biomass-per-recruit models, that are known with any degree <strong>of</strong> certainty. BRPs that have<br />

been proposed in <strong>the</strong> literature have been calculated for temperate demersal marine species with life-history characteristics that<br />

include high fecundity, pelagic spawning and little or no parental care. In contrast, cichlids have low fecundities and exhibit varying<br />

levels <strong>of</strong> parental care ranging from guarding to mouthbrooding. Cichlid specific BRPs, calculated with combinations <strong>of</strong> two<br />

spawner-recruit relationships within deterministic and stochastic frameworks, were shown to be highly dependent on <strong>the</strong> degree <strong>of</strong><br />

density-dependence in <strong>the</strong> spawner-recruit relationship. Overall, cichlid specific BRPs were similar to than temperate groundfish<br />

species and it is suggested that fishing mortality be maintained at no more than that required to reduce spawner biomass-per-recruit<br />

to 40% <strong>of</strong> pristine levels if <strong>the</strong> form <strong>of</strong> <strong>the</strong> spawner-recruit relationship is unknown. If a Beverton-Holt spanwer-recruit relationship is<br />

assumed, a biologically plausible relationship given cichlid life-histories, <strong>the</strong>n it is suggested that spawner biomass-per-recruit is not<br />

reduced below 50% <strong>of</strong> unfished levels.<br />

Introduction<br />

Biological reference points (BRPs) are commonly used to guide <strong>management</strong> decisions. BRPs are values that<br />

represent <strong>the</strong> state <strong>of</strong> a resource and whose characteristics are believed to be useful for <strong>the</strong> <strong>management</strong> <strong>of</strong> a unit<br />

stock through <strong>the</strong> provision <strong>of</strong> information regarding its status relative to an acceptable value or range (Caddy and<br />

Mahon, 1995). There is also a need by <strong>management</strong> to quantify potential long-term trade-<strong>of</strong>fs between maximising<br />

yield, ei<strong>the</strong>r by mass or economic gain, while limiting <strong>the</strong> risk <strong>of</strong> possible reproductive failure. Applying a constant<br />

fishing mortality to maximise yield i.e., FMSY, would clearly be advantageous, however, knowledge <strong>of</strong> <strong>the</strong> biomass<br />

required to achieve MSY is difficult to determine, principally because <strong>of</strong> <strong>the</strong> lack <strong>of</strong> information on <strong>the</strong> functional<br />

form <strong>of</strong> <strong>the</strong> spawner-recruit relationship, hampering understanding <strong>of</strong> <strong>the</strong> biomass-production relationship<br />

(Sissenwine and Shepherd, 1987; Clark, 1991).<br />

BRPs are most <strong>of</strong>ten expressed as a function <strong>of</strong> fishing mortality and are derived from models that describe <strong>the</strong><br />

population dynamics <strong>of</strong> a resource. These interrelated models include dynamic pool, spawner-recruit and<br />

production models. For a graphical illustration see Sissenwine and Shepherd (1987). Unfortunately, in <strong>the</strong> absence<br />

<strong>of</strong> data, which is usually <strong>the</strong> case for most <strong>fisheries</strong> including those that are cichlid dominated, only <strong>the</strong> dynamic<br />

pool models, <strong>of</strong>ten termed as yield-per-recruit and spawner biomass-per-recruit, are known with any degree <strong>of</strong><br />

certainty. Quantifying and understanding <strong>the</strong> spawner-recruit relationship and <strong>the</strong> productivity <strong>of</strong> <strong>the</strong> resource at<br />

various abundances is, <strong>the</strong>refore, imperative.<br />

BRPs that have been proposed in <strong>the</strong> literature have been calculated for temperate marine species with life-history<br />

characteristics that include high fecundity, pelagic spawning and little or no parental care (Clarke, 1991; 1993; Mace<br />

1994). In contrast, cichlids have relatively low fecundities and have various levels <strong>of</strong> parental care ranging from<br />

guarding to mouth brooding (Lowe, 1959; Trewavas, 1983). Could BRPs be similar for two groups <strong>of</strong> fishes with<br />

different life-history characteristics? This study provides <strong>the</strong> first quantitative examination into <strong>the</strong> relationships<br />

between yield and spawner biomass-per-recruit for a wide variety <strong>of</strong> cichlid specific life-history parameters, in an<br />

attempt to propose BRPs that would be beneficial for <strong>management</strong>.<br />

Materials and methods<br />

Modelling framework<br />

A two-phase age-structured modeling framework was developed. Firstly, a deterministic model incorporating a<br />

stock-recruit (S-R) relationship was used to estimate instantaneous rates <strong>of</strong> fishing mortality (F) required to achieve<br />

several BRPs. The procedure was based on those outlined by Sissenwine and Shepherd (1987) and Clarke (1991).<br />

The second phase included a stochastic extension to test <strong>the</strong> robustness <strong>of</strong> <strong>the</strong> BRPs and to assess <strong>the</strong> trade-<strong>of</strong>fs<br />

between yield and spawner biomass, and <strong>the</strong> potential risk <strong>of</strong> reproductive failure.


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The stochastic model was similar to <strong>the</strong> deterministic model but incorporated recruitment variability and simulated<br />

an age-structured population that was fished at <strong>the</strong> desired fishing mortality necessary to achieve <strong>the</strong> desired BRP.<br />

2<br />

ε −σ<br />

/ 2<br />

2<br />

Age-structure within <strong>the</strong> population was estimated with stochastic recruitment R = e with ε ~ N ( 0,<br />

σ ) .<br />

2<br />

−σ<br />

/ 2<br />

The constant e ensured that E [ R]<br />

= 1.<br />

Age-structure was estimated by projecting <strong>the</strong> population forward by<br />

20 years at <strong>the</strong> required fishing mortality rate. This “burn-in” period provided <strong>the</strong> initial age structure for a 50-year<br />

projection at <strong>the</strong> required fishing intensity. It was assumed that a CV <strong>of</strong> 0.4 was sufficient for <strong>the</strong> recruitment<br />

variability such that σ ≈ CV = 0.<br />

4 . Error was assumed to occur in <strong>the</strong> BRP determination (for reasons such as<br />

sampling and ageing errors) such that F = Fˆ<br />

BRP e where FBRP ˆ is <strong>the</strong> predicted BRP fishing mortality and<br />

2<br />

ε ~ N(<br />

0,<br />

0.<br />

1 ) . A total <strong>of</strong> 100 50-year simulations were conducted.<br />

0. 1<br />

2<br />

2<br />

ε −<br />

Dynamic pool models<br />

Two dynamic pool models, yield-per-recruit and spawner biomass-per-recruit as functions <strong>of</strong> fishing mortality F,<br />

were calculated as<br />

where wa is <strong>the</strong> mass at age a, Sa is <strong>the</strong> selectivity for age class a, Ma is <strong>the</strong> rate <strong>of</strong> natural mortality at age a, ψa <strong>the</strong><br />

maturity-at-age a and max is <strong>the</strong> maximum recorded age and is considered a lumped-plus group. A time step <strong>of</strong> one<br />

month (∆a) was used in <strong>the</strong> simulations.<br />

The relative proportion <strong>of</strong> fish at age a ( N a<br />

~ ) was expressed as recursively as<br />

~<br />

N<br />

a<br />

Weight-at-age was described as [ ( ) ] ω −Ka<br />

Wa<br />

ψ L∞<br />

− e<br />

selection-at-age (Sa) and maturity-at-age (ψa) was estimated by a logistic <strong>of</strong> <strong>the</strong> form ( ) 1<br />

−(<br />

a−a50<br />

) / δ −<br />

= 1 where ψ and ω describe <strong>the</strong> length-weight relationship,<br />

P a = 1+<br />

e<br />

where<br />

Pa is <strong>the</strong> proportion selected/mature at age a, a50 <strong>the</strong> age-at-(50%) selection/maturity and δ <strong>the</strong> steepness <strong>of</strong> <strong>the</strong><br />

ogive.<br />

Spawner-recruit models<br />

The Beverton-Holt (1957) and Ricker (1954) stock-recruit (S-R) curves are expressed as ( ) 1 −<br />

R<br />

YPR<br />

⎧<br />

⎪ R = 1<br />

⎪ ~<br />

= ⎨ N a−1e<br />

⎪ ~<br />

N a−1e<br />

⎪ −<br />

⎩ 1−<br />

e<br />

α′<br />

Se<br />

F<br />

=<br />

−FS<br />

−FS<br />

FS<br />

max<br />

∑<br />

a=<br />

0<br />

a−1<br />

a−1<br />

max<br />

⎡ ~<br />

⎢wa<br />

N<br />

⎣<br />

−M<br />

−M<br />

−M<br />

a = 0<br />

0 < a < max<br />

a = max<br />

( 1−<br />

e<br />

−S<br />

F −M<br />

R = S α + βS<br />

and<br />

−β<br />

′ S<br />

= , respectively where α ,α′ , β and β ′ determine <strong>the</strong> shape <strong>of</strong> <strong>the</strong> curves, R is <strong>the</strong> predicted<br />

recruitment at a specified level <strong>of</strong> spawner biomass S.<br />

a<br />

Sa<br />

F<br />

S F + M<br />

a<br />

a<br />

a [<br />

a<br />

⎤<br />

) ⎥∆a<br />

⎦<br />

~<br />

w N ] ∆a<br />

Both S-R curves were reparameterised as a function <strong>of</strong> a “steepness” parameter h , which expresses that fraction <strong>of</strong><br />

pristine recruitment (R0) when spawner biomass (S0) is reduced to θ % <strong>of</strong> pristine levels, such that hR0 = f ( θS0<br />

)<br />

where f (⋅)<br />

is <strong>the</strong> S-R curve <strong>of</strong> interest (Figure 1). This formulation reduces valid portion <strong>of</strong> <strong>the</strong> S-R curve between<br />

<strong>the</strong> origin and <strong>the</strong> replacement point (S0, R0). The “steepness” parameterisation was originally proposed by Mace and<br />

Doonan (1988) but most commonly ascribed to Francis (1992).<br />

SBR<br />

max<br />

F = ∑<br />

a=<br />

0<br />

a<br />

a


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Lake Malawi Fisheries Management Symposium - Proceedings<br />

Figure 1. Relationship between recruitment and spawner biomass to <strong>the</strong> replacement line that joins <strong>the</strong><br />

points (0,0) and (R0, S0) and can be used to reparameterise <strong>the</strong> spawner-recruit relationship to a single<br />

“steepness” parameter h. The “steepness” parameter h expresses <strong>the</strong> fraction <strong>of</strong> pristine recruits when<br />

spawner biomass is reduced to θ% <strong>of</strong> pristine levels. In this scenario θ = 0.2. The solid lines are <strong>the</strong><br />

Ricker and <strong>the</strong> dotted lines <strong>the</strong> Beverton-Holt curves used in <strong>the</strong> analysis.<br />

When <strong>the</strong> S-R shape parameters are simultaneously estimated <strong>the</strong>n<br />

θS0<br />

( 1−<br />

h)<br />

α =<br />

hR ( 1−θ<br />

)<br />

0<br />

α θ<br />

,<br />

h −θ<br />

β =<br />

hR0<br />

( 1−θ<br />

)<br />

for <strong>the</strong> Beverton-Holt curve, and<br />

θ ⎡ ⎛ hS ⎞ ⎤<br />

0 R)<br />

ln( hθ<br />

)<br />

′ = exp⎢ln<br />

⎜<br />

⎟ /( 1−θ<br />

) ⎥ , β ′ = for <strong>the</strong> Ricker curve.<br />

⎣ ⎝ θS0R<br />

⎠ ⎦ S0<br />

( 1−θ<br />

)<br />

When h = 0.2, <strong>the</strong> replacement line in Figure (1), <strong>the</strong>n <strong>the</strong> equations for <strong>the</strong> Beverton-Holt curve reduce to <strong>the</strong><br />

S0 ( 1−<br />

h)<br />

familiar =<br />

4hR0<br />

θ<br />

5h<br />

−1<br />

α , β = . For <strong>the</strong> purposes <strong>of</strong> this study, pristine recruitment was set to unity, and<br />

4hR0<br />

<strong>the</strong>refore, in <strong>the</strong> S-R model pristine biomass (S0) was replaced by unexploited spawner-biomass per-recruit (SBR0).<br />

As recruitment was estimated from a per-recruit perspective, equilibrium spawner biomass as a function <strong>of</strong> fishing<br />

SBRF<br />

−α<br />

ln( α′<br />

SBRF<br />

)<br />

mortality F was calculated as S * =<br />

for <strong>the</strong> Beverton-Holt and S* =<br />

for <strong>the</strong> Ricker<br />

β ′<br />

β ′<br />

curves. Equilibrium recruitment * R was estimated by substituting S* into <strong>the</strong> relevant S-R curves (Figure 5).<br />

Production model<br />

Equilibrium yield as function <strong>of</strong> spawner biomass or spawner biomass-per-recruit was calculated as Y* = YPRF<br />

R*<br />

because spawner biomass-per-recruit was calculated as a function <strong>of</strong> fishing mortality F. Yield as a function <strong>of</strong><br />

spawner biomass or spawner biomass-per-recruit was obtained by iteratively solving for a specific fishing mortality<br />

required to reduce <strong>the</strong> spawner biomass or spawner biomass-per-recruit to <strong>the</strong> desired level.


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Parameter estimates used in <strong>the</strong> simulations<br />

A review <strong>of</strong> <strong>the</strong> cichlid literature summarizing trends between growth, maturity and natural mortality is illustrated in<br />

Figure 2. Growth and mortality data were selected from studies that aged fish with hard tissues such scales and<br />

otoliths, with natural mortality calculated using Hoenig’s (1983) empirical formula that relates mortality as a<br />

function <strong>of</strong> maximum age where ln( M ) = 1.44 - 0.982ln( max)<br />

. Length frequency methods <strong>of</strong> ageing are<br />

fraught with error because cichlids are long lived and <strong>the</strong>ir growth zones <strong>of</strong>ten stack in <strong>the</strong>ir otoliths (Booth et al.,<br />

1995; Booth and Merron, 1996; Weyl and Hecht, 1998) decreasing age estimates <strong>of</strong> old fish. Length frequency<br />

analysis, <strong>the</strong>refore, over-estimates <strong>the</strong> growth co-efficient <strong>of</strong> <strong>the</strong> von Bertalanffy growth equation and introduces<br />

substantial errors into <strong>the</strong> commonly used Pauly’s (1980) estimate <strong>of</strong> natural mortality. It was assumed that Hoenig’s<br />

formula was most suitable for cichlid species because <strong>of</strong> life-history characteristics such as longevity, low fecundity<br />

and parental care. The regression results <strong>of</strong> natural mortality vs <strong>the</strong> growth co-efficient was unfortunately weak,<br />

only explaining 16% <strong>of</strong> <strong>the</strong> variation, but illustrates a slight negative correlation between M and K.<br />

Based on <strong>the</strong> regression equations in Figure 2, and <strong>the</strong> average growth co-efficient from <strong>the</strong> literature cited in Figure<br />

2, parameter estimates used in <strong>the</strong> base-case simulations are L∞ = 200 mm, K = 0.38 .yr -1 , ψ = 0.01 mm, ω = 3 .yr -<br />

1 -1<br />

, M = 0.45 .yr , ψ 50 = S50 = 2.16 yrs, and δψ = δS = 0.25 .yr -1 . A base-case scenario assumed that both <strong>the</strong> maturity<br />

and selectivity schedules coincided, whereas an alternative scenario, closely resembling most cichlid harvesting<br />

gears, assessed selection by <strong>the</strong> fishing gear one year prior to maturity i.e., ψ 50 = 1.16 yrs.<br />

Selection <strong>of</strong> values that determine maximum <strong>the</strong>oretical length and <strong>the</strong> length weight parameters are essentially<br />

arbitrary, provided that growth in weight is (close to) isometric to length. The most influential parameters are,<br />

<strong>the</strong>refore, <strong>the</strong> ratio <strong>of</strong> K to M and <strong>the</strong> ratio between selectivity and maturity. A maximum age <strong>of</strong> 10 years was<br />

considered sufficient as a plus group and had little effect on <strong>the</strong> analyses.<br />

Figure 2. Relationships between length-at-maturity ( 50<br />

ψ ) and maximum length (L∞) (top panel), and<br />

natural mortality (M) based on maximum age (max) and Brody’s growth coefficient (K) (lower panel).<br />

Lines represent linear regression and <strong>the</strong>ir 95% confidence intervals. Data from Bruton and Allanson<br />

(1974), Bruton and Boltt (1975), Tweddle and Turner (1977), Hecht (1980), Van der Waal (1985), Booth<br />

et al. (1995), Booth and Merron (1996), Jambo, (1997) and Weyl and Hecht (1998).


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The S-R curve reparameterisation expresses relative recruitment as a function <strong>of</strong> relative spawning biomass, both<br />

measured relative to unfished levels, and described by <strong>the</strong> “steepness” parameter θ. The value <strong>of</strong> <strong>the</strong> “steepness”<br />

parameter determines <strong>the</strong> potential for density-dependent increases in specific reproductive rate – <strong>the</strong> relative<br />

increase in recruits per unit spawning biomass. Three curves were estimated corresponding to relative increases in<br />

reproductive rate <strong>of</strong> 4, 8 and 16 times. Essentially when spawner biomass is reduced to extremely low levels<br />

spawning is 4 - 16 times more successful. Clarke (1991) argued that this range is acceptable as it covers <strong>the</strong><br />

extremes <strong>of</strong> most known S-R relationships, albeit for temperate groundfish species. The values <strong>of</strong> h, when θ = 0.2,<br />

were estimated as 0.749, 1.249, 2.070 for <strong>the</strong> Ricker and 0.566, 0.711, 0.823 for <strong>the</strong> Beverton-Holt S-R curves.<br />

These values were estimated by setting θ = 1×10 -5 and h = 4 – 16 times θ and solving for <strong>the</strong> fishing mortality that<br />

would result in extinction, i.e., R = 0. The resultant extinction F estimates are used to recalculate h when θ = 0.2, a<br />

commonly used value for this parameter used in meta-analysis <strong>of</strong> stock-recruit data for stock assessments (Myers et<br />

al., 1985).<br />

Estimation <strong>of</strong> biological reference points<br />

Various commonly used BRPs were calculated in this study. These were FMAX (that fishing mortality that maximise<br />

yield-per-recruit in <strong>the</strong> absence <strong>of</strong> a S-R relationship), F0.1 (that fishing mortality that is 10% <strong>of</strong> <strong>the</strong> slope <strong>of</strong> <strong>the</strong><br />

yield-per-recruit curve at <strong>the</strong> origin in <strong>the</strong> absence <strong>of</strong> a S-R relationship) (Gulland and Boerema, 1973), FSB40 (that<br />

fishing mortality that reduces spawner biomass-per-recruit to 40% <strong>of</strong> unfished levels in <strong>the</strong> absence <strong>of</strong> a S-R<br />

relationship) and FMMY (that fishing mortality that is <strong>the</strong> maximum <strong>of</strong> all minimum yields given <strong>the</strong> predetermined S-<br />

R relationships) (Clarke 1991).<br />

During <strong>the</strong> stochastic simulations, cumulative catch over <strong>the</strong> simulation period, depletion (spawner biomass as a<br />

fraction <strong>of</strong> pristine levels) at <strong>the</strong> end <strong>of</strong> <strong>the</strong> 50-year simulation, <strong>the</strong> lowest deletion during <strong>the</strong> simulation and <strong>the</strong><br />

number <strong>of</strong> times depletion was reduced below 20% were noted.<br />

Results<br />

Typical per-recruit effects can be noticed in Figures 3 and 4 (top left panels) with relative yield-per-recruit<br />

increasing quicker if fish are harvested before sexual maturity. Similarly, spawner biomass-per-recruit decreased<br />

more rapidly with small increases in fishing mortality in <strong>the</strong> second scenario with earlier gear selection.<br />

The relationship between spawner biomass-per-recruit and yield provides a proxy strategy to <strong>the</strong> spawner biomass<br />

approach (Figures 3 and 4 - bottom panels). If spawner biomass-per-recruit was dropped with <strong>the</strong> range <strong>of</strong> 20-60%<br />

<strong>of</strong> unfished levels, at least 75% <strong>of</strong> MSY was realised. In contrast to spawner biomass, relative yield as a function <strong>of</strong><br />

relative spawner biomass per recruit was more strongly dependent on <strong>the</strong> choice <strong>of</strong> S-R curve. The maximum <strong>of</strong> <strong>the</strong><br />

minimum yields - FMMY – suggests that at least 75% <strong>of</strong> MSY can be attained if spawner biomass-per-recruit was not<br />

depleted below 20 and 60% <strong>of</strong> unfished levels.


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Figure 3. Per-recruit and yield for a typical cichlid fish that with co-incidental gear selection and maturity<br />

schedules. The solid lines are <strong>the</strong> Ricker and <strong>the</strong> dotted lines <strong>the</strong> Beverton-Holt curves.


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Figure 4. Per-recruit and yield for a typical cichlid fish that with selection by <strong>the</strong> fishing gear occurring 1<br />

years prior to maturity. The solid lines are <strong>the</strong> Ricker and <strong>the</strong> dotted lines <strong>the</strong> Beverton-Holt curves.


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Figure 5. Mean and standard deviation <strong>of</strong> 100 simulations <strong>of</strong> four <strong>management</strong> quantities to assess <strong>the</strong><br />

robustness <strong>of</strong> four biological reference points to two scenarios <strong>of</strong> life-history parameters and fishery<br />

characteristics. Cumulative catch is expressed as <strong>the</strong> fraction <strong>of</strong> <strong>the</strong> highest mean value for all biological<br />

reference points.


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The F0.1 and FSB40 BRPs were similar, estimated between 0.43 and 0.46.yr -1 for <strong>the</strong> base-case scenario and between<br />

0.28 .yr -1 and 0.32 .yr -1 when fish are exposed to fishing pressure prior to maturity. FMAX was consistently <strong>the</strong><br />

highest BRP estimated, ranging between 0.53 .yr -1 and 1.16 .yr -1 . Spawner biomass-per-recruit was reduced <strong>the</strong> most<br />

with <strong>the</strong> FMAX BRP. FMMY had intermediate values to <strong>the</strong> o<strong>the</strong>r BRPs ranging between 0.59 for <strong>the</strong> base case scenario<br />

and 0.35 .yr -1 in <strong>the</strong> lower selection scenario. Both FMMY BRPs reduced spawner biomass-per-recruit to ~32% <strong>of</strong><br />

unfished levels. As fish are selected later into <strong>the</strong> fishery fishing mortalities required to harvest <strong>the</strong> resource at levels<br />

approaching MSY were increased due to per-recruit effects where a “reserve” <strong>of</strong> spawner biomass-per-recruit was<br />

unfished, <strong>the</strong>reby reducing extinction at higher levels <strong>of</strong> fishing mortality.<br />

Results from <strong>the</strong> stochastic trials were not unexpected (Figure 5). Fishing <strong>the</strong> FMAX strategy resulted in slightly<br />

higher yields at <strong>the</strong> expense <strong>of</strong> reducing spawner biomass to <strong>the</strong> lowest levels. In contrast <strong>the</strong> FSB40 and F0.1<br />

strategies maintained spawner biomass at <strong>the</strong> expenses <strong>of</strong> ~10% <strong>of</strong> maximum yield. FMMY was intermediate and<br />

achieved 95% <strong>of</strong> MSY while maintaining spawner biomass above 35% <strong>of</strong> pristine levels. The number <strong>of</strong> simulations<br />

where spawner biomass dropped below 20% - effectively <strong>the</strong> risk <strong>of</strong> possible recruitment failure - was <strong>the</strong> highest<br />

for FMAX and lowest for <strong>the</strong> FSB40 and F0.1 BRPs.<br />

Discussion<br />

Fisheries dominated by one or more cichlid species are common in tropical and subtropical Africa, Central and<br />

South Americas. Cichlids also dominate Sri Lanka freshwater catches since <strong>the</strong> introduction <strong>of</strong> Oreochromis<br />

mossambicus and O. niloticus (De Silva, 1988). Gears utilised are varied and range from mosquito meshing to<br />

harvest juveniles and “fry”, hook and line and different net configurations. With <strong>the</strong> exception <strong>of</strong> size-selective<br />

gillnets, fish are usually harvested prior to sexual maturity as fish are usually caught for subsistence or marketed by<br />

number ra<strong>the</strong>r than mass (Weyl and Booth, unpublished data). Management is at best ad hoc, with most <strong>fisheries</strong> in<br />

an overfished state with catches and catch-rates dropped steadily over time (Pálsson et al., 1999; Ogutu-Owayo,<br />

1990).<br />

Lake Malawi is no exception. Chambo, a complex comprising four economically and socially important<br />

Oreochromis species, has dominated landings. Unfortunately <strong>the</strong>se stocks are considered to heavily depleted with<br />

large fish rarely seen in catches and catch rates at all-time low levels (Pálsson et al., 1999). Effort has now been<br />

shifted onto less utilised pelagic cichlid resources. Management intervention is urgently required.<br />

Cichlid life-history patterns are complex and have evolved in various habitats differing in biotic and abiotic<br />

variability. Overall, cichlids are considered K-selected as <strong>the</strong>y have a high longevity, lay relatively few but large<br />

eggs, exhibit parental care and mature at a high fraction <strong>of</strong> <strong>the</strong>ir maximum length (Bruton, 1989). Parental care has<br />

been shown to resolve taxonomic issues as Saro<strong>the</strong>rodon spp. are paternal mouthbrooders, Oreochromis spp.<br />

mouthbrood, and Tilapia spp. are guarders (Trewavas, 1983). All cichlid genera in Lake Malawi, with <strong>the</strong> exception<br />

<strong>of</strong> Serranochromis and Tilapia, are considered to be maternal mouthbrooders. Nests <strong>of</strong> those species residing on<br />

unconsolidated sediments are usually constructed within a lek (McKaye, 1984).<br />

O<strong>the</strong>r aspects relating to <strong>the</strong> interaction between cichlid life-histories and <strong>the</strong> characteristics <strong>of</strong> <strong>the</strong>ir harvesting<br />

<strong>fisheries</strong> are that maturity and gear selectivity schedules rarely co-incide and that natural mortality is, deduced from<br />

o<strong>the</strong>r life-history traits, probably density dependent. Considering <strong>the</strong> dependence on suitable inshore habitats for<br />

juveniles and space required for elaborate nest building, fish are easily targeted and spawning habitat destroyed by<br />

gears such as large seine nets. Lake Malawi cichlids are also highly habitat specific. All <strong>of</strong> <strong>the</strong>se factors have<br />

<strong>management</strong> implications.<br />

It would appear that BRPs based on groundfish life histories (Clarke 1991; 1993; Mace; Thompson) are similar to<br />

those <strong>of</strong> cichlids. The stochastic trials, however, suggested that <strong>the</strong> deterministic BRPs were too low and prompted<br />

<strong>the</strong> need for a slightly more conservative approach in selecting for suitable spawner biomass–per-recruit level to<br />

sustain a fishery indefinitely. Conserving more spawner biomass-per-recruit would have a marginal difference in<br />

yield.<br />

Two <strong>management</strong> strategies emerged from <strong>the</strong> analysis. If spawner biomass can be estimated and <strong>the</strong>n maintained<br />

between 30 - 60% <strong>of</strong> unfished levels <strong>the</strong>n surplus production can be safely harvested. Alternatively, spawner<br />

biomass-per-recruit should be maintained at levels <strong>of</strong> >40%. The broad summit between relative yield and relative<br />

spawner biomass suggests that a biomass based strategy would be <strong>the</strong> most suitable than one based on <strong>the</strong> regulation<br />

<strong>of</strong> fishing mortality. At least 75% <strong>of</strong> MSY can be attained by simply maintaining <strong>the</strong> spawner biomass in <strong>the</strong> range <strong>of</strong>


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30-50% <strong>of</strong> pristine levels without increasing <strong>the</strong> risk <strong>of</strong> recruitment failure beyond an unacceptable limit.<br />

Unfortunately, for cichlid directed <strong>fisheries</strong>, <strong>the</strong> second option is <strong>the</strong> most feasible prompting an investigation into a<br />

suitable S-R curve to fine-tune BRP recommendations.<br />

The Beverton-Holt (1957) S-R curve is probably <strong>the</strong> most biologically plausible in a cichlid context. The derivation<br />

<strong>of</strong> <strong>the</strong> curve assumes that juvenile competition leads to linearly dependent mortality rate relative <strong>the</strong> number <strong>of</strong> fish<br />

alive in <strong>the</strong> cohort at any point in time. When <strong>the</strong> cohort grows in number <strong>the</strong>n individuals will disappear faster. If<br />

fecundity remains constant <strong>the</strong>n <strong>the</strong>re will be compensation, i.e., recruits per spawner decrease as a function <strong>of</strong> <strong>the</strong><br />

number <strong>of</strong> spawners. The net result is a plateau in recruits per spawner. This model has also been shown to<br />

approximate situations with territorial interactions, disruption <strong>of</strong> nesting, gradation in habitat suitability for nesting<br />

and juvenile survival, and competition for food or space (Hilborn and Walters, 1992).<br />

Figure 6. Relative yield as a function <strong>of</strong> relative spawner biomass per recruit for a typical cichlid fish given<br />

that harvesting occurs prior to sexual maturity. The maximin yield is illustrated for all <strong>the</strong> spawner-recruit<br />

curves and only <strong>the</strong> Beverton-Holt curves. The solid lines are <strong>the</strong> Ricker and <strong>the</strong> dotted lines <strong>the</strong><br />

Beverton-Holt curves.<br />

Consider cichlid reproduction from a simplified perspective. Spawning occurs within a lek with males constructing<br />

nests that are <strong>of</strong>ten large and elaborate (McKaye, 1984). Habitats are also species specific and could be considered a<br />

limited resource. Utaka are an exception as <strong>the</strong>y do not construct nests but form dense reproductive shoals above<br />

deep rocky outcrops in upwelling areas. Female mating success is not necessarily hampered by a reduction in<br />

suitable habitat as <strong>the</strong>y have <strong>the</strong> opportunity to choose suitable mate(s) (Kellogg et al., 1995). After spawning,<br />

females ga<strong>the</strong>r <strong>the</strong> eggs and mouthbrood <strong>the</strong>m before releasing few, well-developed juveniles into suitable nursery<br />

habitats – inshore areas in <strong>the</strong> case <strong>of</strong> <strong>the</strong> sandy substrate spawners such as Oreochromis spp. and Lethrinops spp.,<br />

or near <strong>the</strong> parent’s territories in <strong>the</strong> case <strong>of</strong> <strong>the</strong> rock dwelling haplochromine mbuna. It can also be assumed that<br />

paedophagy would linearly dependent on mouthbrooding females. Suitable nursery ground habitat would


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unfortunately facilitate differential mortality compounding depensation resulting in a S-R curve approximating that<br />

<strong>of</strong> <strong>the</strong> Beverton-Holt form.<br />

The Beverton-Holt S-R curve is also <strong>the</strong> most conservative from a harvesting perspective, because with <strong>the</strong> lack <strong>of</strong><br />

depensation (or at least reduced compensation), recruits decrease with a reduction <strong>of</strong> spawning biomass. A<br />

conservative approach is not necessarily a poor <strong>management</strong> option given <strong>the</strong> largely artisanal nature <strong>of</strong> cichlid<br />

directed <strong>fisheries</strong>. Figure 6 illustrates an alternative <strong>management</strong> strategy when <strong>the</strong> maximin BRP is calculated for<br />

<strong>the</strong> Beverton-Holt curve only, and is contrasted when <strong>the</strong> BRP is calculated with all S-R curves combined. Fishing<br />

at FMMY decreases fishing mortality and increases spawner biomass-per-recruit by ~10% than <strong>the</strong> previous BRP, a<br />

substantial difference in <strong>the</strong> provision against recruitment failure. Yield is unfortunately compromised for <strong>the</strong><br />

maintenance <strong>of</strong> sufficient spawner biomass but only marginally, at levels <strong>of</strong> ~80% that <strong>of</strong> MSY. The deterministic<br />

model as shown by <strong>the</strong> stochastic simulations is probably over-estimates fishing mortality and it is <strong>the</strong>refore<br />

proposed that <strong>the</strong> revised BRP be decreased to increase spawner biomass-per-recruit to 50% <strong>of</strong> unfished levels. The<br />

precautionary approach prevails in <strong>the</strong> cichlid situation, and if effective fishing mortality is maintained at this rate,<br />

could assist with sustaining <strong>the</strong> livelihood <strong>of</strong> artisanal fishing communities.<br />

References<br />

Beverton, R.J.H and Holt, S.J. 1957. On <strong>the</strong> dynamics <strong>of</strong> exploited fish populations. Fish. Invest. Ser. II (London)<br />

19: 1-533.<br />

Booth, A.J., Merron, G.S. and Buxton, C.D. 1995. The growth <strong>of</strong> Oreochromis andersonii (Pisces : Cichlidae) from<br />

<strong>the</strong> Okavango Delta, Botswana, and a comparison <strong>of</strong> <strong>the</strong> scale and otolith methods <strong>of</strong> ageing. Env. Biol.<br />

Fish. 43: 171-178.<br />

Booth, A.J. and Merron, G.S. 1996. The age and growth <strong>of</strong> <strong>the</strong> greenhead tilapia Oreochromis macrochir<br />

(Pisces:Cichlidae) from <strong>the</strong> Okavango Delta, Botswana. Hydrobiologia 321: 29-34.<br />

Bruton, M.N. 1989. The ecological significance <strong>of</strong> alternative life-history styles. In Alternative life-history styles.<br />

M.N. Bruton (ed.) Kluwer, Dordrecht. 503-553.<br />

Bruton, M.N. and Allanson, B.R. 1974. The growth <strong>of</strong> Tilapia mossambica Peters (Pisces:Cichlidae) is Lake Sibaya,<br />

South Africa. J. Fish Biol. 6: 701-705.<br />

Bruton, M.N. and Boltt, R.E. 1975. Aspects <strong>of</strong> <strong>the</strong> biology <strong>of</strong> Tilapia mossambica Peters (Pisces: Cichlidae) in a<br />

natural freshwater <strong>lake</strong> (Lake Sibaya, South Africa). J. Fish Biol. 7: 423-445.<br />

Caddy, J.F. and Mahon, R. 1995. Reference points for <strong>fisheries</strong> <strong>management</strong>. FAO Fish. Tech. Pap. No. 347.<br />

Clark, W.G. 1991. Groundfish exploitation rates based on life history parameters. Can. J. Fish. Aquat. Sci. 48: 734-<br />

750.<br />

Clark, W.G. 1993. The effect <strong>of</strong> recruitment variability on <strong>the</strong> choice <strong>of</strong> a target level <strong>of</strong> spawning biomass per<br />

recruit. In Proceedings <strong>of</strong> <strong>the</strong> International Symposium on Management Strategies for Exploited Fish<br />

Populations. Kruse, G., Eggers, D. M., Marasco, R. J., Pautzke, C. and T. J. Quinn (Eds). University <strong>of</strong><br />

Alaska, Fairbanks; Alaska Sea Grant College Program Report 93-02: 233–246.<br />

De Silva, SS. 1988. Reservoir <strong>of</strong> Sri Lanka and <strong>the</strong>ir <strong>fisheries</strong>. FAO Fish. Tech. Pap. No. 298. 128pp.<br />

Francis, R. I. C. C. 1992 – Use <strong>of</strong> risk analysis to assess fishery <strong>management</strong> strategies: a case study using orange<br />

roughy (Hoplostethus atlanticus) on <strong>the</strong> Chatham Rise, New Zealand. Can. J. Fish. Aquat. Sci. 49: 922–<br />

930.<br />

Gulland, J.A. and Boerema, L.K. 1973. Scientific advice on catch levels. U.S. Fish. Bull. 71: 325-335.<br />

Hecht, T. 1980. A comparison <strong>of</strong> <strong>the</strong> otolith and scale methods <strong>of</strong> ageing, and <strong>the</strong> growth <strong>of</strong> Saro<strong>the</strong>rodon<br />

mossambicus (Pisces:Cichlidae) in a Venda mpoundment (Sou<strong>the</strong>rn Africa). S. Afr. J. Zool. 15: 222-228.<br />

Hilborn, R. and Walters, C. J. 1992 – Quantitative Fisheries Stock Assessment. Choice, Dynamics and Uncertainty.<br />

Chapman and Hall, New York. 570 pp.<br />

Hoenig, J.M. 1983. Empirical use <strong>of</strong> longevity rates to calculate mortality rates. U.S. Fish. Bull. 82: 898-903.<br />

Jambo, C. M. 1997. Aspects <strong>of</strong> <strong>the</strong> ecology and reproductive biology <strong>of</strong> three cichlid species <strong>of</strong> <strong>the</strong> sou<strong>the</strong>rn Lake<br />

Malombe (Malawi). Unpublished MSc <strong>the</strong>sis, Rhodes University. 126pp.<br />

Kellogg, K.A., J.A. Markert, J.R. Stauffer Jr. and T.D. Kocher. 1995. Microsatellite variation demonstrates multiple<br />

paternity in lekking cichlid fishes from Lake Malawi, Africa. Proc. R. Soc. Lond. B.260:79-84.<br />

Lowe [McConnell], R.H. 1959. Breeding behaviour patterns and ecological differences between Tilapia species and<br />

<strong>the</strong>ir significance for evolution within <strong>the</strong> genus Tilapia (Pisces: Chlidae). Pro. Zool. Soc. Lond. 132: 1-30.<br />

Mace, P.M. 1994. Relationships between common biological points used as thresholds and targets <strong>of</strong> <strong>fisheries</strong><br />

<strong>management</strong> strategies. Can. J. Fish. Aquat. Sci.51: 110-122.


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Mace, P.M. and Doonan, I.J. 1988. A generalized bioeconomic simulation model for fish population dynamics. N.J.<br />

Fish. Assess. Doc. 88/4.<br />

McKaye, K.R. 1984. Behavioural aspects <strong>of</strong> cichlid reproductive strategies: patterns <strong>of</strong> territoriality and brood<br />

defence in Central African substratum spawners and African mouthbrooders. In G.W. Potts. & R.J. Wooton<br />

(Eds.) Fish reproduction: strategies and tactics. Academic Press, London. pp 245-273.<br />

Myers, R. A, Bridson, J. And Barrowman, N. J. 1995 – Summary <strong>of</strong> worldwide spawner and recruitment data. Can.<br />

tech. Rep. Fish. Aquat. Sci. 2024: iv + 327 pp.<br />

Ogutu-Ohwayo, R. 1990. The decline <strong>of</strong> <strong>the</strong> native fishes <strong>of</strong> Lakes Victoria and Kyoga (East Africa) and <strong>the</strong> impact<br />

<strong>of</strong> introduced species, especially <strong>the</strong> Nile perech Lates niloticus, and <strong>the</strong> Nile tilapia, Oreochromis<br />

niloticus. Env. Biol. Fish. 27: 81-96.<br />

Pálsson, Ó.K., Bulirani and Banda, M. 1999. A review <strong>of</strong> biology, <strong>fisheries</strong> and population dynamics <strong>of</strong> chambo<br />

(Oreochromis spp., Cichlidae) in Lakes Malawi and Malombe. Government <strong>of</strong> Malawi, Fisheries Bulletin.<br />

38. 35pp.<br />

Pauly, D. 1980. On <strong>the</strong> interrelationship between natural mortality, growth parameters and mean environmental<br />

temperature in 175 stocks <strong>of</strong> fish. J. Cons. Int. Explor. Mer. 39: 175-192.<br />

Sissenwine, M.P. and Shepherd, J.G. 1987. An alternative perspective on recruitment overfishing and biological<br />

reference points. Can. J. Fish. Aquat. Sci.44: 913-918.<br />

Trewavas, E. 1983. Tilapiine fishes <strong>of</strong> <strong>the</strong> genera Saro<strong>the</strong>rodon, Oreochromis and Danakilia. London.<br />

Tweddle, D. and J.L. Turner, 1977. Age, growth and natural mortality rates <strong>of</strong> some cichlid fishes <strong>of</strong> Lake Malawi.<br />

J. Fish Biol. 10:385-395.<br />

Van der Waal, B.C.W. 1985. Aspects <strong>of</strong> <strong>the</strong> biology <strong>of</strong> larger fish species <strong>of</strong> Lake Liambezi, Caprivi, South West<br />

Africa. Madoqua 14: 101-144.<br />

Weyl, O.L.F. and Hecht, T. 1998. The biology <strong>of</strong> Tilapia rendalli and Oreochromis mossambicus (Pisces:<br />

Cichlidae) in a subtropical <strong>lake</strong> in Mozambique. S. Afr. J. Zool. 33: 178-188.


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Appendix I: Abstracts <strong>of</strong> papers not submitted for publication<br />

(with comments from floor)<br />

Ecological aspects <strong>of</strong> <strong>the</strong> ornamental fish <strong>of</strong> Lake Malawi and <strong>the</strong>ir implications in<br />

relation to exploitation and conservation<br />

A. Msukwa<br />

Department <strong>of</strong> National Parks and Wildlife, cape MacClear. Malawi<br />

Abstract<br />

Lake Malawi has diverse ichthy<strong>of</strong>auna estimated at over 1000 species. The food fish industry (artisanal and mechanized<br />

commercial <strong>fisheries</strong>) exploit many species with <strong>the</strong> exception <strong>of</strong> <strong>the</strong> colourful rock dwelling cichlids locally known as mbuna. The<br />

mbuna are exploited by licenced exporters for <strong>the</strong> aquarium trade. The food fish exploitation industry has enjoyed monitoring and<br />

<strong>management</strong> attention from <strong>the</strong> Fisheries Department that <strong>the</strong> aquarium fish export industry has not. Management regulations <strong>of</strong> a<br />

fishery are based on <strong>the</strong> way <strong>the</strong> fish are exploited and <strong>the</strong> biological and ecological information concerning <strong>the</strong> fish. Due to this<br />

background some biological and ecological aspects <strong>of</strong> mbuna were studied at <strong>the</strong> three Maleri Islands in Lake Malawi National Park<br />

with a view to assessing <strong>the</strong> impact <strong>of</strong> <strong>the</strong>ir exploitation for ornamental trade. The mbuna were sampled by 1 hour gillnetting at 2, 5<br />

and 10 m depths around <strong>the</strong> three Maleri Islands between January and May 2000. The following aspects were assessed: <strong>the</strong><br />

distribution and relative abundance, female reproductive stages and size at maturity and sex ratios. Two licenced exporters <strong>of</strong><br />

mbuna were visited to assess species and numbers exploited. All sites sampled had diverse fish species ranging from 19 to 25<br />

mbuna species and 15 to 34 non-mbuna species per site. A majority <strong>of</strong> <strong>the</strong>se species were found at all three islands with a few<br />

restricted to one or two <strong>of</strong> <strong>the</strong> three islands. There were significant (p


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Determination <strong>of</strong> species diversity in various areas <strong>of</strong> Lake Malombe<br />

B. Chirwa*, A. Ambali, M. Chagunda & E. Kaunda<br />

Molecular Biology and Ecology Research Unit (MBERU), AMBAKA Building, Chancellor, College Campus, Box 403, Zomba<br />

Abstract<br />

Lake Malombe is <strong>the</strong> third largest <strong>lake</strong> in Malawi and contributes substantially to <strong>the</strong> country's fish production. The <strong>lake</strong>'s fishery<br />

started to decline since <strong>the</strong> early 1980s when <strong>the</strong> Oreochromis Nyasalapia species were replaced by <strong>the</strong> small cichlids collectively<br />

known as Kambuzi. The fishery has currently collapsed and in attempt to improve <strong>the</strong> situation, <strong>the</strong> Government <strong>of</strong> Malawi<br />

established a reserve area in <strong>the</strong> <strong>lake</strong> that acts as stock recovery area. The study assessed species diversity in <strong>the</strong> eastern and<br />

western fishing sites and sanctuary area. A total <strong>of</strong> 39 species were sampled; 33 in <strong>the</strong> eastern side and 25 in <strong>the</strong> western side. Fish<br />

species diversity was high in <strong>the</strong> eastern than <strong>the</strong> western sites, mean H' value 2.127 and 1.77, respectively. Fish species are more<br />

abundant in eastern sites than western sites, mean D' value 3.93 and 2.57, respectively and more evenly distributed in eastern sites<br />

than western sites, mean J'' value 0.73 and 0.63, respectively. Laboratory studies are currently underway to determine whe<strong>the</strong>r <strong>the</strong><br />

sanctuary is contributing to recruitment in <strong>the</strong> fishing grounds and if <strong>the</strong>re is migration between <strong>the</strong> eastern and western sides<br />

Questions and Comments<br />

Q: What is <strong>the</strong> difference between total alleles and effective alleles?<br />

A: Total alleles are all alleles present. Effective alleles are those that affect <strong>the</strong> character controlled by that<br />

locus and can be used as a measure <strong>of</strong> inbreeding or migration between populations.<br />

Q: What mesh size did you use in your sampling? Does your low sample species richness (39) as opposed to<br />

Kissa’s over 60 species not invalidate your findings?<br />

A: My results are in agreement with FAO’s and Jambo’s findings, with around 40 species for <strong>the</strong> <strong>lake</strong>. We<br />

used 19 mm mesh size nets since that is <strong>the</strong> mesh size used by <strong>the</strong> nkacha net fishermen.<br />

Q: Did you get samples from fishers or did you conduct experimental fishing as this is important in relation to<br />

depth?<br />

A: My samples were obtained from fishermen; I followed up from Jambo’s study by using a similar strategy<br />

for sampling.<br />

Comment: The low species number obtained in this study may be due to species identification problems (B.<br />

Ngatunga).<br />

A: For identification, <strong>the</strong> Fisheries Research Unit, Monkey Bay, staff were used.<br />

Q: How many samples did you use in this study?<br />

A: I used four replicates per site.<br />

Comment: It should be kept in mind that <strong>the</strong> number <strong>of</strong> samples in this study were much less than Kissa’s study<br />

who used over 100 samples, thus it is not surprising that Kissa had a higher number <strong>of</strong> species in his study<br />

(G. Turner).


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River discharge and water quality<br />

M. Gondwe, M. Kingdon, H. Bootsma, J. Mwita, B. Mwichande & R. Hecky<br />

SADC/GEF Project, P.O. Box 311, Salima, Malawi<br />

Abstract<br />

Phytoplankton in Lake Malawi support a high fish biodiversity. On <strong>the</strong> o<strong>the</strong>r hand phytoplankton productivity and composition in <strong>the</strong><br />

productive layer <strong>of</strong> <strong>the</strong> <strong>lake</strong> water is largely determined by nutrients availability. One <strong>of</strong> <strong>the</strong> major ways nutrient loading into <strong>the</strong><br />

productive layer occurs is through river discharge. The level <strong>of</strong> nutrient loading by a river depends on land use and human activities<br />

in <strong>the</strong> watershed <strong>of</strong> <strong>the</strong> river. Deforestation, bush fires and washing away <strong>of</strong> farmland due to poor agricultural practices have been<br />

observed to increase nutrient levels in run<strong>of</strong>f to <strong>lake</strong>s. Such situations have led to eutrophication <strong>of</strong> <strong>the</strong> <strong>lake</strong>s and consequent<br />

decline and/or extinction <strong>of</strong> biodiversity as experienced in Lake Victoria.<br />

The importance <strong>of</strong> rivers in respect <strong>of</strong> <strong>the</strong> foregoing was recognized by <strong>the</strong> SADC/GEF Lake Malawi Biodiversity Conservation<br />

Project. As such, Limnology section <strong>of</strong> <strong>the</strong> project sampled Lake Malawi rivers from 1996 through 1999 with <strong>the</strong> aim <strong>of</strong>:<br />

Determining <strong>the</strong> annual loading <strong>of</strong> nutrients and sediments into <strong>the</strong> <strong>lake</strong> from <strong>the</strong> rivers for inclusion in <strong>the</strong> whole <strong>lake</strong> budget.<br />

Assessing <strong>the</strong> current water quality <strong>of</strong> <strong>the</strong> in-flowing rivers, especially for parameters such as phosphorus, nitrogen, silica and<br />

suspended solids that are most likely to affect <strong>the</strong> limnology <strong>of</strong> <strong>the</strong> <strong>lake</strong> and its budget. Suggesting sensitive chemical parameters<br />

that are particularly important to <strong>the</strong> <strong>lake</strong>'s water quality and biodiversity and which should be <strong>the</strong> focus <strong>of</strong> <strong>the</strong> future<br />

monitoring/research programs.<br />

Among <strong>the</strong> many findings are: No statistically valid relationship was observed to exist between daily river discharge and nutrient<br />

concentration. For all rivers <strong>the</strong> early part <strong>of</strong> <strong>the</strong> flow season exhibited a flushing effect for most nutrients. In December 1996, TSS,<br />

TDN and TDP were 79.03mg/l, 1.352 and 0.075 mmoles/m2 <strong>lake</strong> surface area while in May 1997 concentrations were 0.45mg/l<br />

0.138 and 0.005 mmoles/m2 <strong>lake</strong> surface area. Loading <strong>of</strong> all nutrients and sediments was significantly higher in <strong>the</strong> southwestern<br />

catchment and nor<strong>the</strong>astern catchment <strong>of</strong> <strong>the</strong> <strong>lake</strong>. Northwestern catchment accounts for only 6.3% <strong>of</strong> <strong>the</strong> total for all nutrients.<br />

Loading <strong>of</strong> all dissolved nutrients except SO4 was similar in southwestern catchment and nor<strong>the</strong>astern catchment, however loading<br />

<strong>of</strong> total suspended solids (TSS) and all suspended nutrients was higher in nor<strong>the</strong>astern catchment than in southwestern catchment.<br />

Majority <strong>of</strong> <strong>the</strong> flux to <strong>the</strong> <strong>lake</strong> was in form <strong>of</strong> particulate nutrients, and <strong>the</strong> concentrations <strong>of</strong> total nitrogen (N), total phosphorus (P)<br />

and available silica (Si) were all correlated with suspended solids concentration.<br />

NOTE: Southwestern catchment has Linthipe, Bua and Dwangwa rivers. Northwestern catchment has Songwe, South and North<br />

Rukuru rivers. Nor<strong>the</strong>astern catchment has Ruhuhu river.<br />

Questions and Comments<br />

Q: Are algal blooms <strong>the</strong> only factor causing fish kills?<br />

A: No, but mostly it is due to algal blooms. When diatoms die <strong>the</strong>y sink and do not fix nitrogen; whilst some<br />

green algae (some <strong>of</strong> which fix nitrogen) do not sink, thus contributing to oxygen depletion.<br />

Q: Is <strong>the</strong>re any information on <strong>the</strong> phytoplankton for Lake Malawi or <strong>the</strong> blue-green algae composition?<br />

A: Yes it is available, a UK/SADC publication edited by Menz.


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Metals, Pesticides And O<strong>the</strong>r Persistent Contaminants In Water, Sediments And<br />

Biota From Lake Malawi/Nyasa<br />

A. Bulirani*, K. Kidd, W. Lockhart, P. Wilkinson & D. Muir<br />

SADC/GEF Project, P.O. Box 311, Salima, Malawi<br />

Abstract<br />

Lake Malawi is a valuable resource to <strong>the</strong> populations along its shores in <strong>the</strong> riparian countries. Among <strong>the</strong> major resources are fish<br />

that provides about 75% <strong>of</strong> <strong>the</strong> much essential animal protein and water for irrigation, domestic use and recreation. In <strong>the</strong> event <strong>of</strong><br />

<strong>the</strong> availability <strong>of</strong> micro-contaminants such as PCBs and organochlorine pesticides at toxic concentrations in <strong>the</strong> <strong>lake</strong>, <strong>the</strong>se uses<br />

would obviously constitute health risk for <strong>the</strong> people. Previous work elsewhere on PCBs and organochlorine pesticides has shown<br />

that <strong>the</strong>y reach toxic concentrations through bioaccumulation in food chains as a result <strong>of</strong> <strong>the</strong>ir very strong persistency in soil, air<br />

and water. One strong effect <strong>of</strong> micro-contaminants such as <strong>the</strong>se PCBs and organochlorine pesticides at toxic concentrations to<br />

fish in a <strong>lake</strong> is fish kills. In 1999, PCBs and organochlorines were linked, in <strong>the</strong> minds <strong>of</strong> some many individuals in Malawi, to <strong>the</strong><br />

famous <strong>lake</strong>-wide fish kills experienced in Lake Malawi during <strong>the</strong> windy August - November period, which was unusually long.<br />

One <strong>of</strong> <strong>the</strong> research interests <strong>of</strong> <strong>the</strong> SADC/GEF Lake Malawi Biodiversity Conservation Project was to determine <strong>the</strong> concentration<br />

<strong>of</strong> microcontaminants such as PCBs and organochlorine pesticides in fish, mud and wake water.<br />

The project's research findings on PCBs and organochlorines in <strong>the</strong> <strong>lake</strong> water and fish biota did not confirm <strong>the</strong> fears and<br />

suspicions that <strong>the</strong>y were a possible cause for <strong>the</strong> fish kills. Organochlorine pesticides and PCBs were detected at low<br />

concentrations in surface as well as in subsurface waters <strong>of</strong> <strong>the</strong> <strong>lake</strong>. PCBs were <strong>the</strong> major organochlorines in surface waters and<br />

<strong>the</strong>ir concentrations ranged from 165-854pg/l. Deep water samples (e.g. 80m) gave lower concentrations ranging from 100-187pg/l.<br />

Oftenly <strong>the</strong> results were found to be below <strong>the</strong> detection limit which is approximately 100pg/l.<br />

Concentrations <strong>of</strong> persistent pesticides and PCBs in fish from Lake Malawi were low in all fish analysed. Examination <strong>of</strong> <strong>the</strong><br />

Canadian Bureau <strong>of</strong> Chemical Safety's tolerable daily intakes (TDIs) <strong>of</strong> 1.0ug.kg body weight-1day-1 for PCBs and <strong>the</strong>ir<br />

concentrations in Lake Malawi fish revealed that a 60kg person can safely consume on a daily basis over a lifetime up to 34.6kg/day<br />

Mcheni, 235kg/day Chambo, 2.9kg/day Mpasa, 4.1kg/day Usipa and 17.7kg/day Kampango. This confirms that consumption <strong>of</strong><br />

Lake Malawi fishes does not pose any health risk to humans especially because fish is never consumed daily and in <strong>the</strong>se<br />

quantities.<br />

Questions and Comments<br />

Q: What is <strong>the</strong> significance <strong>of</strong> using muscle tissue ra<strong>the</strong>r than using bony structure in <strong>the</strong> analysis?<br />

A: To my understanding people consume <strong>the</strong> fleshy part <strong>of</strong> <strong>the</strong> fish thus <strong>the</strong> analysis used muscle tissue.<br />

Q: Is <strong>the</strong>re any plan to study how different fish eating habits <strong>of</strong> people reflect <strong>the</strong> levels <strong>of</strong> contamination?<br />

A: The contamination levels so far are too low to be <strong>of</strong> concern, <strong>the</strong>refore <strong>the</strong>re are no plans to do research on<br />

<strong>the</strong> eating habits <strong>of</strong> people.<br />

Q: How do chemicals accumulate in upper layers when your colleague (M. Gondwe) indicates that most <strong>of</strong> <strong>the</strong><br />

chemicals accumulate below <strong>the</strong> <strong>the</strong>rmocline? How do <strong>the</strong> contaminants that have settled down below <strong>the</strong><br />

<strong>the</strong>rmocline affect <strong>the</strong> fish?<br />

A: Due to wave action and upwelling, <strong>the</strong> contaminants from <strong>the</strong> bottom reach <strong>the</strong> upper layers where <strong>the</strong> fish<br />

are and eventually accumulate in <strong>the</strong> food web.<br />

Q: Why did you not use <strong>the</strong> World Health Organization’s (WHO) or <strong>the</strong> Malawi Bureau <strong>of</strong> Standards<br />

standards for tolerance levels <strong>of</strong> contaminants?<br />

A: The Canadian standards were adopted because <strong>the</strong> contract was awarded to a water quality analysis institute<br />

<strong>of</strong> Winnipeg, Canada. The values were thought to be representative.


264<br />

Lake Malawi Fisheries Management Symposium - Proceedings<br />

The Traditional Gillnet Fisheries In Metangula, Lake Malawi/Niassa, East Africa<br />

J. Halafo<br />

Fisheries Research Institute, P.O. Box 4603, Maputo, Mozambique E-mail: halafo@iip.co.mz<br />

Abstract<br />

Metangula is <strong>the</strong> principal village on <strong>the</strong> Mozambique coast <strong>of</strong> Lake Malawi/Niassa. It has 9 human settlements<br />

where fishing occurs over about 40 km <strong>of</strong> shoreline. This village is one <strong>of</strong> <strong>the</strong> few places where <strong>the</strong> gillnet catches <strong>of</strong><br />

Labeo mesops (nchila), and Opsaridium microcephalus (sanjika) occur, due perhaps to <strong>the</strong> low fishing pressure in<br />

that area. Although <strong>the</strong> gillnet fishery catches a wider variety <strong>of</strong> commercial fish than any o<strong>the</strong>r gear type used by<br />

<strong>the</strong> fishermen, nchila, and sanjika are <strong>the</strong> most important species in <strong>the</strong> catches. The seasonality <strong>of</strong> habitats appears<br />

to be a key factor affecting many interrelated aspects <strong>of</strong> life cycle for this species. Their movements to feed or<br />

spawn are tied up with seasonal and o<strong>the</strong>r changes in <strong>the</strong> environment.<br />

The traditional <strong>fisheries</strong> <strong>of</strong> Labeo mesops, and Opsaridium microcephalus, mainly from gillnets, have decreased<br />

seriously in <strong>the</strong> past 10 years over <strong>the</strong> <strong>lake</strong>. These species are reported as being missed from <strong>the</strong> catches in gillnet<br />

<strong>fisheries</strong> <strong>of</strong> Malawi. Smith (1993a) found CPUE = 0 for those species in Chembe village. Few years ago, L. mesops<br />

was <strong>the</strong> most important fish in <strong>the</strong> riverine fishery in Malawi. It has been depleted due to intensive gillnetting <strong>of</strong><br />

gravid individuals on breeding migrations.<br />

This paper presents preliminary results on traditional gillnet <strong>fisheries</strong> in Metangula, focusing on 2 important<br />

commercial species referred above. I'm also trying to arise here <strong>the</strong> concrete need for <strong>fisheries</strong> <strong>management</strong> and<br />

biodiversity conservation particularly related to <strong>the</strong>se species. It's not clear yet whe<strong>the</strong>r <strong>the</strong>se species are represented<br />

by a single population that is widespread in <strong>the</strong> <strong>lake</strong>, or by different populations with distinctive morphometric,<br />

genetic and life history characteristics. Therefore, <strong>the</strong> studies in near future will focus on distribution along <strong>the</strong><br />

shore, comparison <strong>of</strong> its morphometric and genetic characteristics, and life history, in order to know whe<strong>the</strong>r <strong>the</strong>se<br />

species return to <strong>the</strong> same rivers for reproduction or <strong>the</strong>y go to any river. The studies will also include issues <strong>of</strong><br />

economic value and conservation status.<br />

Questions and Comments<br />

Q: The gillnet effort per 100m; are <strong>the</strong>y mounted or not?<br />

A: Mounted gear used for effort estimate.<br />

Q: Don’t you think that <strong>the</strong> sampling duration <strong>of</strong> December 1998 to March 1999 was too short to come up<br />

with reliable conclusions and solutions?<br />

A: I agree.<br />

Q: Do fishermen use multi or mon<strong>of</strong>ilament gill nets?<br />

A: The fishermen use both types, however mon<strong>of</strong>ilament gill nets are uncommon.<br />

Comment: There is data available for <strong>the</strong> next 8 months after this study and it should be included in <strong>the</strong> analysis<br />

(G.F. Turner).<br />

Q: The disappearance <strong>of</strong> adults (Cyprinids) in December may be due to migration and not due to fishing.<br />

What is known about <strong>the</strong> migratory patterns <strong>of</strong> <strong>the</strong> fish studied?<br />

A: There is a possibility that migration may be playing a role, however it has not been studied. It may be<br />

looked into next time.


265<br />

Lake Malawi Fisheries Management Symposium - Proceedings<br />

Genetic diversity distribution <strong>of</strong> tasselled tilapias (Oreochromis nyasalapia spp.:<br />

Cichlidae) in Lake Malawi using microsatellite DNA markers<br />

D. Kafumbata* & A. Ambali<br />

Molecular Biology and Ecology Research Unit (MBERU), AMBAKA Building, Chancellor College Campus, Box 403, Zomba<br />

Abstract<br />

A study was carried out to investigate <strong>the</strong> genetic diversity distribution <strong>of</strong> three species <strong>of</strong> O. Nyasalapia in Lake Malawi. Five<br />

polymorphic loci were scored in 12 populations. The total number <strong>of</strong> alleles ranged from 13.0(4.4 to 18.4(5.9; mean effective number<br />

<strong>of</strong> alleles ranged from 8.0( 4.0 to 11.09(4.0 in O. karongae, 9.09(2.3 to 10.2(3.8 in O. lidole and 8.8(4.8 to 11.9(4.7 in O.<br />

squamipinnis. The mean heterozygosity per population ranged from 0.45(0.17 to 0.66(0.16, which is higher than reported in<br />

allozyme loci. There is high genetic variation in O. squamipinnis, followed by O. karongae and O. lidole. The populations are not<br />

highly differentiated. These results suggest that <strong>the</strong> O. Nyasalapia flock has still maintained a reasonable level <strong>of</strong> genetic variation in<br />

<strong>the</strong> face <strong>of</strong> intense fishing pressures.<br />

Comments from floor<br />

Q: With what gears were <strong>the</strong> samples collected from?<br />

A: Nkacha nets.<br />

Q: What about species identification, for instance, how did you deal with <strong>the</strong> juvenile chambo?<br />

A: We used FRU technicians for identification and small chambo were not included in <strong>the</strong> analysis.<br />

Q: If two populations are not genetically different, does it mean that <strong>the</strong>re is migration?<br />

A: Not always true.<br />

Q: Did you statistically test for genetic differences among <strong>the</strong> three species from <strong>the</strong> same location?<br />

A: Yes. There was no difference between <strong>the</strong> species. The Fst values were very small and <strong>the</strong>refore cannot be<br />

considered as significant. There was a lot <strong>of</strong> overlap even among species <strong>of</strong> <strong>the</strong> same area.<br />

Q: What does <strong>the</strong> 5 migrants per generation mean?<br />

A: It refers to actual individuals (i.e. 5) migrating out per generation from a population.


266<br />

Lake Malawi Fisheries Management Symposium - Proceedings<br />

Genetic population structure <strong>of</strong> Oreochromis mossambicus in <strong>the</strong> Shire River<br />

system<br />

M. Chimenya* & A, Ambale<br />

Molecular Biology and Ecology Research Unit (MBERU), AMBAKA Building, Chancellor College Campus, Box 403, Zomba<br />

Abstract<br />

An investigation in <strong>the</strong> Lower Shire River fishery was carried out to assess <strong>the</strong> status <strong>of</strong> genetic variation <strong>of</strong> O. mossambicus using<br />

microsatellite DNA markers. Five polymorphic loci (OS08, OS64, OS75, UNH154 and UNH103) were scored in 11 populations.<br />

Number <strong>of</strong> alleles per locus ranged from 4 in OS64 to 40 in UNH154. Cluster analysis grouped populations into three, (1) those<br />

found in Chikwawa, (2) those that are found at Elephant Marsh and (3) those that are found at Ndinde Marsh.<br />

Genepop program was used to calculate allelic diversity <strong>of</strong> each <strong>of</strong> <strong>the</strong> 11 populations. The mean number <strong>of</strong> alleles ranged from 8.2<br />

to 11.0 with mean heterozygosity range <strong>of</strong> 0.48 to 0.68. All populations exhibited considerable genetic diversity. WHICHRUN<br />

program was used to assign individuals to <strong>the</strong>ir right strata/populations based multi-locus genotype data. Probability <strong>of</strong> assigning <strong>of</strong><br />

a population to its right strata ranged from 52-100%. Probability <strong>of</strong> assigning <strong>of</strong> an individual to its right population ranged from 57-<br />

95%. Populations from <strong>the</strong> market were assigned to different sources than indicated by <strong>the</strong> fish traders and <strong>the</strong>se tended to reduce<br />

<strong>the</strong> probability <strong>of</strong> right assignment <strong>of</strong> individuals to source.<br />

Comments from floor<br />

Q: Have you used fish from <strong>the</strong> ponds, e.g. from Domasi and those in <strong>the</strong> Lower Shire?<br />

A: Yes, some work has been done on O. mossambicus from <strong>the</strong> ponds in Domasi by Dr. A. Ambali.<br />

Q: What are <strong>the</strong> differences between <strong>the</strong> fish from <strong>the</strong> ponds and those in <strong>the</strong> Lower Shire?<br />

A: From Dr. Ambali’s samples from Domasi he identified three alleles, however, in this study (samples from<br />

<strong>the</strong> Lower Shire) four alleles were identified. This may be due to different environmental conditions<br />

encountered by fish in captivity.<br />

Q: How cost effective is your analysis process?<br />

A: It is a very expensive process. The cost is about MK15,000.00 per 20 samples.


267<br />

Lake Malawi Fisheries Management Symposium - Proceedings<br />

Zoogeographical distribution and population structure <strong>of</strong> Taeniolethrinops<br />

praeorbitalis exploited by artisanal fishermen in <strong>the</strong> inshores <strong>of</strong> Lake Malawi<br />

W. Changadeya* & A. Ambali<br />

Molecular Biology and Ecology Research Unit (MBERU), AMBAKA Building, Chancellor College Campus, Box 403, Zomba<br />

Abstract<br />

Lethrinops species flock (Chisawasawa/mbaba) is among <strong>the</strong> major commmercially important fish species exploited in Lake Malawi.<br />

Their catches started declining as early as 1975 due to overexploitation especially in <strong>the</strong> sou<strong>the</strong>rn part <strong>of</strong> <strong>the</strong> <strong>lake</strong> yet <strong>the</strong>re are no<br />

deliberate measures put in place to conserve <strong>the</strong>se vital populations. A study was carried out to determine <strong>the</strong> genetic diversity and<br />

population structure <strong>of</strong> Taeniolethrinops praeorbitalis populations in traditional <strong>fisheries</strong> <strong>of</strong> Sou<strong>the</strong>ast and Southwest arms <strong>of</strong> <strong>the</strong><br />

<strong>lake</strong>, Mangochi District and Nkhota -kota <strong>lake</strong>shore area. A total <strong>of</strong> 10 populations with 40 individuals as sample size were analyzed<br />

at 6 polymorphic microsatellite loci. The populations were not in Hardy-Weinberg equilibrium possibly due to Wuhlund effect. This is<br />

supported by inter-deme migration <strong>of</strong> more than seven individuals per generation as determined by a multilocus estimate <strong>of</strong> number<br />

<strong>of</strong> migrants using private alleles method. However this rate <strong>of</strong> migration has not reduced population differentiation in T. praeorbitalis,<br />

mean Fst <strong>of</strong> 0.152.<br />

Comments from floor<br />

Q: Are <strong>the</strong> Nkhota-kota and Mangochi populations <strong>of</strong> Taeniolethrinops praeorbitalis different?<br />

A: Yes.<br />

Q: Who identified <strong>the</strong> species used?<br />

A: Dr. B. Ngatunga did <strong>the</strong> identification.<br />

Comment by Dr. B. Ngatunga: I was involved in <strong>the</strong> initial start-up <strong>of</strong> <strong>the</strong> research by helping <strong>the</strong> student with <strong>the</strong><br />

identification <strong>of</strong> <strong>the</strong> fish species, however, I wish to express that one <strong>of</strong> <strong>the</strong> pictures in <strong>the</strong> student’s<br />

presentation showing <strong>the</strong> fish species he analysed was not Taeniolethrinops praeorbitalis as he claimed, but<br />

I suspect that it was an Aulonocara species.


268<br />

Lake Malawi Fisheries Management Symposium - Proceedings<br />

Feeding ecology <strong>of</strong> Bathyclarias nyasensis (Siluroidei: Clariidae) in Lake Malawi<br />

E. Kaunda 1* &T. Hecht 2<br />

1 Dept <strong>of</strong> Aquaculture and Fisheries Science, University <strong>of</strong> Malawi, Bunda College, Box 219 Lilongwe, Malawi.<br />

2 Rhodes University, P.O. Box 6140, Grahamstown R.S.A.<br />

Abstract<br />

The ecological role <strong>of</strong> B. nyasensis in Lake Malawi was identified from studies on life history raits, ecological and functional<br />

morphology in addition to diet and food habits <strong>of</strong> <strong>the</strong> species conducted between 1996-1998. The maximum age for B. nyasensis<br />

was estimated at 14 years. Growth was best described by <strong>the</strong> four parameter Schnute model:<br />

for female and<br />

for male fish. Age-at-50% maturity for females and males were estimated at 7 years and 4 years, respectively. Typically, fish grew<br />

rapidly in <strong>the</strong> first year, but slower during subsequent years. Smaller fish were found inshore while larger fish were found in <strong>of</strong>fshore<br />

regions. It was hypo<strong>the</strong>sised that <strong>the</strong> rapid growth in <strong>the</strong> first year and slower growth later is a consequence <strong>of</strong> change in diet from<br />

high quality and abundant food source to a more dilute food and that this may be associated with a shift in habitat.<br />

Changes in fish growth synchronised with dietary changes and morphology particularly changes in buccal cavity volume. These<br />

changes occurred when fish reached 500-600 mm TL, concomitant with habitat shifts that probably imply a mechanism to open <strong>the</strong><br />

inshore habitat to <strong>the</strong> next cohort, <strong>the</strong>reby maintaining a stable population. In inshore areas, B. nyasensis was primarily piscivorous<br />

and was zooplanktivorous in <strong>of</strong>fshore regions.<br />

On <strong>the</strong> basis <strong>of</strong> <strong>the</strong> <strong>the</strong>oretical migratory life history cycle <strong>of</strong> B. nyasensis, and “bottom-up” and trophic cascade <strong>the</strong>ories, it is<br />

postulated that perturbations <strong>of</strong> <strong>the</strong> B. nyasensis stock would be discernible both at <strong>the</strong> top and lower trophic levels. As a piscivore<br />

and <strong>the</strong>refore apex predator, effects <strong>of</strong> overfishing B. nyasensis in <strong>the</strong> inshore region could cascade to unpredictable ecological<br />

changes in inshore areas and, due to <strong>the</strong> ontogenetic habitat shift, in <strong>the</strong> <strong>of</strong>fshore regions. It is recommended that <strong>the</strong> current<br />

interest in increasing fishing effort in <strong>of</strong>fshore areas should proceed with caution.<br />

Questions and Comments<br />

Q: In your presentation you pointed out that Bathyclarias nyassensis is a pelagic species, yet during <strong>the</strong> UK<br />

SADC project only 27 specimens were caught. Is it really pelagic?<br />

A: It is not really pelagic, although sometimes it can behave like a pelagic species.<br />

Q: The deepwater fishery targets <strong>the</strong> small species (chisawasawa), and <strong>the</strong> catfishes caught as bycatch and are<br />

not considered in <strong>management</strong>. How do you manage this fishery?<br />

A: There is no policy for <strong>the</strong> catfishes at present.<br />

Q: How did you validate your aging?<br />

A: I used marginal zone analysis for validation.<br />

lt ={42+(81 1.8 - 42 1.8 )x 1-e -0.05(t-1) } 1/1.8<br />

1-e -(-0.05)(11)<br />

lt ={41+(98 1.2 - 41 1.2 )x 1-e -0.02(t-1) } 1/1.2<br />

1-e -(-0.02)(13)<br />

Q: Concerning your observation on feeding aggregations <strong>of</strong> juveniles and adults, could you verify this<br />

observation?<br />

A: My data indicated that feeding aggregations <strong>of</strong> Bathyclarias nyassensis took place.


269<br />

Lake Malawi Fisheries Management Symposium - Proceedings<br />

Land use patterns in <strong>the</strong> Domasi and Likangala catchments and <strong>the</strong>ir effects on<br />

soil erosion, water quality, river flow rates, siltation rates and Barbus<br />

reproduction in Lake Chilwa<br />

D. Jamu*, J. Chimphamba & R. Brummett<br />

ICLARM, P.O. Box 229 Zomba<br />

A study to examine trends in land use practices, and to establish linkages between river flow, soil erosion rates, catchment sediment<br />

yield, river water quality, migratory patterns and reproductive success <strong>of</strong> Barbus species in <strong>the</strong> Likangala and Domasi rivers was<br />

conducted between November 2000 and November 2001. Participatory rural appraisals, to obtain information on current and past<br />

land use and <strong>management</strong> practices and <strong>the</strong> effects <strong>of</strong> <strong>the</strong>se practices on <strong>the</strong> river ecosystem health, were conducted in four<br />

villages in <strong>the</strong> Likangala catchment and in Mtwiche village in <strong>the</strong> Domasi catchment. Land use cover change analysis was<br />

accomplished by aerial photograph interpretation <strong>of</strong> black and white aerial photographs for 1982 and 1995 covering <strong>the</strong> study area.<br />

Soil erosion rates were estimated using <strong>the</strong> Soil Erosion Model for Sou<strong>the</strong>rn Africa (SLEMSA) by delineating soil erosion<br />

<strong>management</strong> units with homogeneous areas with similar slope, class, soil group, annual mean rainfall, and vegetation cover type<br />

and density. Catchment sediment yields were obtained by multiplying <strong>the</strong> estimated soil loss for each soil erosion <strong>management</strong> unit<br />

with a delivery ratio, which was defined as <strong>the</strong> ratio <strong>of</strong> soil eroded that had been carried downstream to that remaining within <strong>the</strong><br />

field. Barbus and water quality sampling in <strong>the</strong> Likangala and Domasi Rivers was conducted biweekly from December 2000 up to<br />

June 2000 and <strong>the</strong>reafter monthly until November 2001. The Barbus were sampled at <strong>the</strong> river mouth using a multi-mesh gillnet to<br />

determine <strong>the</strong>ir total number and <strong>the</strong>y were assessed for <strong>the</strong>ir position in <strong>the</strong> net to determine direction <strong>of</strong> migration. Adult females<br />

were assessed for <strong>the</strong>ir gonadosomatic index. The gonadosomatic index was used to determine <strong>the</strong> seasonal reproductive status <strong>of</strong><br />

Barbus. The water quality parameters measured were dissolved oxygen, electrical conductivity, pH and total suspended solids.<br />

River flow rate was measured using a current flow meter and <strong>the</strong> float method. Water quality, river flow, sediment yield,<br />

reproductive and fish migration data were subjected to multiple regression analysis to determine <strong>the</strong> major factors affecting<br />

reproductive status and migration. The land use analysis results showed that land use practices in <strong>the</strong> two catchments are<br />

characterized by a combination <strong>of</strong> destructive forces mainly <strong>the</strong> expansion and intensification <strong>of</strong> cultivation <strong>of</strong> maize on marginal<br />

land using inappropriate practices. The participatory rural appraisal sessions in both catchments revealed that <strong>the</strong> number <strong>of</strong> trees in<br />

<strong>the</strong> upland and along <strong>the</strong> rivers, <strong>the</strong> size and number <strong>of</strong> fish caught in <strong>the</strong> two rivers had drastically declined over <strong>the</strong> past fifty years.<br />

The highest amount <strong>of</strong> soil loss (>100t.ha -1 .yr -1 ) was estimated in <strong>the</strong> upland areas <strong>of</strong> <strong>the</strong> Likangala River catchment and field<br />

walks in <strong>the</strong> area revealed wide spread evidence <strong>of</strong> very severe erosion, exposed soils and numerous deep gullies. The most<br />

critical factors contributing to high soil loss were rainfall high kinetic energy and poor vegetation cover. High vegetation cover and<br />

relatively flat plains resulted in low soil loss in <strong>the</strong> wetland. The Likangala River catchment had a higher annual sediment yield <strong>of</strong><br />

374 t.km -2 .yr -1 compared to 315 t.km -2 .yr -1 for <strong>the</strong> Domasi catchment. A situation analysis for <strong>the</strong> Likangala River catchment<br />

showed that increasing maize yield was more efficient in reducing soil loss than contour ridging, and <strong>the</strong> highest reduction in soil<br />

loss was predicted when a combined 20% increase <strong>of</strong> contour ridging, maize yield and tree canopy was assumed. Multiple<br />

regression analysis results showed that reproductive success <strong>of</strong> females migrating upstream was negatively correlated with total<br />

suspended solids and positively correlated with electrical conductivity in <strong>the</strong> Domasi River. On <strong>the</strong> o<strong>the</strong>r hand, <strong>the</strong> upstream<br />

migration <strong>of</strong> Barbus juveniles was positively correlated to sediment yield in both rivers, and also to river flow rate in <strong>the</strong> Domasi<br />

River. The Barbus reproductive status was not correlated to any <strong>of</strong> <strong>the</strong> physico-chemical variables that were measured in <strong>the</strong><br />

Likangala River. The major recommendations <strong>of</strong> <strong>the</strong> study were as follows: (i) land use practices that tackle <strong>the</strong> most critical soil loss<br />

factor should form an integral part <strong>of</strong> soil conservation measures in each soil erosion <strong>management</strong> unit; (ii) a combination <strong>of</strong> contour<br />

ridging, increases in crop yield and vegetation cover should be promoted as strategies for reducing soil loss in <strong>the</strong> Likangala River<br />

catchment; (iii) appropriate <strong>management</strong> actions that reduce fishing pressure on breeding Barbus females in <strong>the</strong> influent rivers<br />

should be formulated to ensure <strong>the</strong> success <strong>of</strong> spawning migrations <strong>of</strong> breeding females into <strong>the</strong> influent rivers, and (iv) marginal<br />

vegetation in <strong>the</strong> breeding grounds along <strong>the</strong> <strong>lake</strong> should be protected from burning and o<strong>the</strong>r forms <strong>of</strong> destruction in order to<br />

maintain breeding and feeding grounds for juvenile Barbus in <strong>the</strong> dry season.<br />

Questions and Comments<br />

Q: How does maize reduce soil erosion?<br />

A: Maize grows faster and provides <strong>the</strong> best canopy to reduce soil erosion during <strong>the</strong> period when <strong>the</strong> rains are<br />

<strong>the</strong> heaviest.<br />

Q: What factors were considered to use Barbus as an ecosystem indicator?<br />

A: Barbus species migrate from <strong>the</strong> <strong>lake</strong> to breed in <strong>the</strong> rivers and, <strong>the</strong>refore, <strong>the</strong>ir reproductive success is<br />

related to <strong>the</strong> condition <strong>of</strong> <strong>the</strong> rivers.<br />

Q: What mechanism would be put in place to protect breeding individuals?<br />

A: The Fisheries policy needs to take into consideration no fishing during <strong>the</strong> breeding season, i.e. considering<br />

banning fish traps or fish weirs that cross <strong>the</strong> entire river system.


Appendix II: List <strong>of</strong> participants<br />

270<br />

Lake Malawi Fisheries Management Symposium - Proceedings<br />

Name Address Tel E-mail<br />

Allison E. School <strong>of</strong> Development Studies, University <strong>of</strong> East<br />

Anglia, Norwich NR4 7TJ, UK<br />

Ambali A. Molecular Biology and Ecology Research Unit<br />

(MBERU), AMBAKA Building, Chancellor, College<br />

Campus, Box 403, Zomba<br />

Balarin J. C/O Royal Danish Embassy, Pvt. Bag 396, Lilongwe,<br />

Malawi<br />

Banda M. Fisheries Research Unit, P.O. Box 27, Monkey Bay,<br />

Malawi<br />

Bandula D. Department <strong>of</strong> Fisheries - Headquarters, P.O. Box<br />

539, Lilongwe, Malawi<br />

Booth A. J. DIFS, Rhodes University, P.O. Box 94, 6140,<br />

Grahamstown, South Africa<br />

Bulirani A. SADC/GEF Project, P.O. Box 311, Salima, Malawi<br />

Changadeya W. Molecular Biology and Ecology Research Unit<br />

(MBERU), AMBAKA Building, Chancellor, College<br />

Campus, Box 403, Zomba, Malawi<br />

Chimenya M. Molecular Biology and Ecology Research Unit<br />

(MBERU), AMBAKA Building, Chancellor, College<br />

Campus, Box 403, Zomba, Malawi<br />

Chirwa W. Centre for Social Research, University Office,<br />

University <strong>of</strong> Malawi, P.O. Box 278, Zomba, Malawi<br />

Chisambo J. Fisheries Research Unit, P.O. Box 27, Monkey Bay,<br />

Malawi<br />

Darwall W. Overseas Development Group University <strong>of</strong> East<br />

Anglia, Norwich NR4 7TJ, UK<br />

44 1603 593724(t)44<br />

1603 451999(f)<br />

e.allison@uea.ac.uk<br />

aambali@sdnp.org.mw<br />

836533 DESP@<strong>malawi</strong>.net<br />

587 440 fru@<strong>malawi</strong>.net<br />

6038415 T.Booth@ru.ac.za<br />

263432<br />

524888<br />

44 1603 593922(t) 44<br />

1603 505262(f)<br />

Dobson T. Michigan State University 13 Natural Resources Bldg. 517-1711(t)<br />

E. Lansing 48824-1222<br />

432-1699(f)<br />

Ellis F. Overseas Development Group University <strong>of</strong> East<br />

Anglia Norwich NR4 7TJ, UK<br />

Gondwe M. SADC/GEF Project, P.O. Box 311, Salima, Malawi<br />

Halafo J. Fisheries Research Institute, P.O. Box 4603,<br />

Maputo, Mozambique<br />

Hecht T. DIFS, Rhodes University, P.O. Box 94,<br />

6140 Grahamstown, South Africa<br />

Jambo C. Department <strong>of</strong> Fisheries, Mangochi District Office,<br />

P.O. Box 47, Mangochi, Malawi<br />

Jamu D. ICLARM, P.O. Box 229, Zomba<br />

44 1603 504455(t)<br />

44 1603 464267(f)<br />

W.Darwall@uea.ac.uk<br />

dobson@msu.edu<br />

dobson@pilot.msu.edu<br />

f.ellis@uea.ac.uk<br />

263432 nyasa@<strong>malawi</strong>.net<br />

halafo@iip.co.mz<br />

6038415 t.hecht@ru.ac.za<br />

584813, 584 211<br />

536274(t) iclarm@sdnp.org.mw


271<br />

Lake Malawi Fisheries Management Symposium - Proceedings<br />

Name Address Tel E-mail<br />

Jarchau P. NARMAP, P.O. Box 31131, Lilongwe, Malawi<br />

Kachinjika O. Department <strong>of</strong> Fisheries - Headquarters, P.O. Box<br />

539, Lilongwe, Malawi<br />

Kafumabata D. Molecular Biology and Ecology Research Unit<br />

(MBERU), AMBAKA Building, Chancellor, College<br />

Campus, Box 403, Zomba, Malawi<br />

831 825 narmapllw@<strong>malawi</strong>.net<br />

788865, 788511<br />

Kamanga L.<br />

277222/277214 staff@aquadept.<strong>malawi</strong>.net<br />

Kanyerere G.<br />

Dept <strong>of</strong> Aquaculture and Fisheries Science, University<br />

<strong>of</strong> Malawi, Bunda College, Box 219 Lilongwe, Malawi<br />

Fisheries Research Unit, P.O. Box 27, Monkey Bay,<br />

Malawi<br />

587 440 fru@<strong>malawi</strong>.net<br />

Kataya P. National Aquaculture Centre, P.O. Box 44,<br />

Domasi, Malawi<br />

536215 nac@sdnp.org.mw<br />

Kaunda E. Dept <strong>of</strong> Aquaculture and Fisheries Science, University<br />

<strong>of</strong> Malawi, Bunda College, Box 219 Lilongwe, Malawi<br />

Kihedu J. TAFIRI, Kyela Centre, P.O. Box 98, Kyela, Mbeya<br />

Region, Tanzania<br />

Makuwila M. P.O. Box 593, Lilongwe<br />

277214(t)(f) staff@aquadept.<strong>malawi</strong>.net<br />

tafirik@africaonline.co.tz<br />

788511 sadcfish@<strong>malawi</strong>.net<br />

Maluwa A. NAC, P.O. Box 44, Domasi 536215 aomaluwa@sdnp.org.mw<br />

Manase M. Fisheries Research Unit, P.O. Box 27, Monkey Bay,<br />

Malawi<br />

Mapila S.A. Department <strong>of</strong> Fisheries - Headquarters, P.O. Box<br />

539, Lilongwe, Malawi<br />

Morioka S. JICA, P.O. box 3032, Lilongwe<br />

Msowoyo N. Department <strong>of</strong> Fisheries - Headquarters, P.O. Box<br />

539, Lilongwe, Malawi<br />

Msukwa A. P.O. Box 48, Moneky Bay<br />

Mvula P. Center for Social Research, University Office,<br />

University <strong>of</strong> Malawi, P.O. Box 278, Zomba, Malawi<br />

Mwakiyongo K. Fisheries Research Unit, P.O. Box 27, Monkey Bay,<br />

Malawi<br />

Mwambungu J.A. TAFIRI, Kyela Center, P.O. Box 98, Kyela, Mbeya<br />

Region, Tanzania<br />

Ngatunga B. TAFIRI, Kyela Center, P.O. Box 98, Kyela, Mbeya<br />

Region, Tanzania<br />

Ngochera M. Fisheries Research Unit, P.O. Box 27, Monkey Bay,<br />

Malawi<br />

Ngombe T. Department <strong>of</strong> Fisheries - Headquarters, P.O. Box<br />

539, Lilongwe, Malawi<br />

Nyasulu T. Fisheries Research Unit, P.O. Box 27, Monkey Bay,<br />

Malawi<br />

Nyirenda M. Department <strong>of</strong> Fisheries - Headquarters, P.O. Box<br />

539, Lilongwe, Malawi<br />

Peschke J. MBZDP, P.O. Box 627, Mzuzu, Malawi<br />

Russell A. Dept <strong>of</strong> Fisheries and Wild life, 16 Natural Resources<br />

BLDG, E. Lansing, MI 48824, USA<br />

587 440 fru@<strong>malawi</strong>.net<br />

788511<br />

755734 morioko@<strong>malawi</strong>.net<br />

788511<br />

584657/784<br />

587 440 fru@<strong>malawi</strong>.net<br />

tafirik@africaonline.co.tz<br />

tafirik@africaonline.co.tz<br />

587 440 fru@<strong>malawi</strong>.net<br />

788511<br />

587 440 fru@<strong>malawi</strong>.net<br />

788511<br />

333563 peschke@<strong>malawi</strong>.net<br />

517 332 4931 aaron_belgium@yahoo.com


272<br />

Lake Malawi Fisheries Management Symposium - Proceedings<br />

Name Address Tel E-mail<br />

Sambo E. Center for Social Research, University Office,<br />

University <strong>of</strong> Malawi, P.O. Box 278, Zomba, Malawi<br />

Seymour T. Bryn Eryr Uchaf, Llandadwrn, Anglesey LL59 5SA UK 44 1248 712540 seymourevans@hotmail.com<br />

Sipawe R. Fisheries Research Unit, P.O. Box 27, Monkey Bay,<br />

Malawi<br />

Turner G.F. University <strong>of</strong> Southampton, Bassett Crescent East,<br />

Southampton SO16 7PX, England UK<br />

Tweddle D. c/o DIFS, Rhodes University, P.O. Box 94, 6140,<br />

Grahamstown, South Africa<br />

Weyl O.L.F. NARMAP , P.O. Box 27, Monkey Bay, Malawi 587 754<br />

935 259<br />

Zidana H. National Aquaculture Centre, Box 44,<br />

Domasi, Malawi<br />

587 440 fru@<strong>malawi</strong>.net<br />

44 2380 593217(t)<br />

44 2380 594397(f)<br />

536215(t)<br />

536203(f)<br />

gft@soton.ac.uk<br />

d.tweddle@ru.ac.za<br />

narmapbay@<strong>malawi</strong>.net<br />

nac@sdnp.org.mw<br />

Acknowledgements<br />

The Lake Malawi Fisheries Management Symposium was organised and funded by <strong>the</strong> GTZ supported<br />

NARMAP Programme <strong>of</strong> <strong>the</strong> Department <strong>of</strong> Fisheries. However, considerable inputs and support to<br />

participants was received from <strong>the</strong> SADC/GEF Project, <strong>the</strong> World Bank, ICLARM, JICA, Rhodes<br />

University, <strong>the</strong> EU and <strong>the</strong> ODG funded Malawi/Indonesia Fluctuating Fisheries Project. In addition, this<br />

<strong>symposium</strong> would not have been possible without <strong>the</strong> commitment <strong>of</strong> <strong>the</strong> authors, whose presentations<br />

are <strong>the</strong> basis for <strong>the</strong> <strong>symposium</strong>. In addition, we would also like to thank <strong>the</strong> <strong>symposium</strong> committee for<br />

<strong>the</strong>ir committed work on this project.

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