Reconstructing Kenya’s total freshwater fisheries catches: 1950–2017
Aidan Schubert
A H , Wanja Nyingi B , Paul Tuda C , Christopher M. Aura D , Kevin Obiero D , Julius Manyala E , Ian G. Cowx F , Gabriel M. Vianna A , Matthew Ansell A , Jessica J. Meeuwig G and Dirk Zeller A
+ Author Affiliations
- Author Affiliations
A Sea Around Us – Indian Ocean, School of Biological Sciences, University of Western Australia, Crawley, WA, Australia.
B Ichthyology Section, National Museums of Kenya, Nairobi, Kenya.
C Leibniz Centre for Tropical Research, Bremen, Germany.
D Kenya Marine and Fisheries Research Institute, Kisumu, Kenya.
E Jaramogi Oginga Odinga University of Science and Technology, Bondo, Kenya.
F Hull International Fisheries Institute, University of Hull, Hull, UK.
G Marine Futures Laboratory, School of Biological Sciences, University of Western Australia, Crawley, WA, Australia.
H Corresponding author. Email: aidan.schubert@outlook.com
Marine and Freshwater Research 73(1) 57-70 https://doi.org/10.1071/MF21189
Submitted: 23 June 2021 Accepted: 4 October 2021 Published: 29 October 2021
Journal Compilation © CSIRO 2022 Open Access CC BY-NC-ND
Abstract
Most freshwater fisheries occur in developing countries, where freshwater fish underpin local food security and small-scale fisheries livelihoods. Comprehensive catch data are fundamental to support the sustainable management of freshwater fisheries. However, freshwater catch data reported by the Food and Agriculture Organization of the United Nations (FAO) on behalf of countries under-represent freshwater fisheries because they are dominated by fragmented and highly dispersed small-scale sectors, often with no designated landing sites. Kenya is an emerging economy with socioeconomically important freshwater fisheries and ongoing food security concerns. We undertook a reconstruction of freshwater fisheries catch data for Kenya for the period 1950–2017, aiming to improve the comprehensiveness of existing reported baseline data and to provide a more ecologically and spatially relevant time series dataset for research and management uses. We reconstructed catches for 16 major waterbodies in Kenya and found catches to be 32% higher than the data reported by the FAO on behalf of the country. The subsistence sector (small-scale, non-commercial, personal consumption) accounted for 71% of unreported catches, compared with 29% for artisanal sector catches (small-scale, commercial), suggesting that non-commercial catches for direct local consumption are substantially under-represented in nationally reported statistics and should receive greater attention to support sustainable food security in Kenya.
Keywords: artisanal, developing country, food security, inland fisheries, Lake Victoria, lakes, rivers, subsistence.
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