An examination of the usefulness of single-species biomass models for the management of Lake Victoria fisheries


Autoria(s): Nakiyende, H.
Data(s)

2014

Resumo

Nile perch (Lates niloticus), tilapia (Oreochromis spp), dagaa (Rastrineobola argentea, silver cyprinid), and haplochromines (Tribe Haplochromini) form the backbone of the commercial fishery on Lake Victoria. These fish stocks account for about 70% of the total catch in the three riparian states Uganda, Kenya, and Tanzania. The lake fisheries have been poorly managed, in part due to inadequate scientific analysis and management advice. The overall objective of this project was to model the stocks of the commercial fisheries of Lake Victoria with the view of determining reference points and current stock status. The Schaefer biomass model was fitted to available data for each stock (starting in the 1960s or later) in the form of landings, catch per unit effort, acoustic survey indices, and trawl survey indices. In most cases, the Schaefer model did not fit all data components very well, but attempts were made to find the best model for each stock. When the model was fitted to the Nile perch data starting from 1996, the estimated current biomass is 654 kt (95% CI 466–763); below the optimum of 692 kt and current harvest rate is 38% (33–73%), close to the optimum of 35%. At best, these can be used as tentative guidelines for the management of these fisheries. The results indicate that there have been strong multispecies interactions in the lake ecosystem. The findings from our study can be used as a baseline reference for future studies using more complex models, which could take these multispecies interactions into account.

Formato

application/pdf

Identificador

http://aquaticcommons.org/20853/1/Final_thesis_modelling09.pdf

Nakiyende, H. (2014) An examination of the usefulness of single-species biomass models for the management of Lake Victoria fisheries. Other Thesis, United Nations University, 26pp.

Idioma(s)

en

Relação

http://aquaticcommons.org/20853/

Palavras-Chave #Fisheries
Tipo

Thesis

NonPeerReviewed