Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/1641
Title: Stock assessment of the Tigertooth croaker, Otolithes ruber (Bloch & Schneider, 1801) from the commercial prawn trawl fishery by-catch in coastal Kenya
Authors: Mzingirwa, F.
Nyamora, J.
Omukoto, J.
Tuda, P.
Keywords: Stock assessment
Tigertooth croaker
Issue Date: 2020
Publisher: Western Indian Ocean Marine Science Association
Citation: Fatuma A. Mzingirwa, Jane M. Nyamora , Johnstone O. Omukoto , Paul Tuda, Stock assessment of the Tigertooth croaker, Otolithes ruber (Bloch & Schneider, 1801) from the commercial prawn trawl fishery by-catch in coastal Kenya. Western Indian Ocean Journal of Marine Science Vol. 19 No. 2, Pages 149-165, 2021-04-02
Series/Report no.: Western Indian Ocean Journal of Marine Science;Vol. 19 No. 2, Pages 149-165
Abstract: Commercial bottom prawn trawling has been reported to generate a higher proportion of by-catch of up to 70% in Kenya. The Tigertooth croaker, Otolithes ruber is one of the species caught in large quantities as commercial by-catch and also by artisanal fishers. This has led to growing concern that the species could be at risk of over-exploitation. The purpose of this study was to carry out a stock assessment of O. ruber. Stock assessment parameters were estimated using ELEFAN with the generic algorithm as included in the R package TropFishR. The length-converted catch curve and the length-based yield per recruit model were employed. The exploitation rate (F/Z = 0.71) indicates that the stock is overfished based on the length-converted catch curve. The current fishing mortality (F = 2.3) based on the catch curve is larger than the reference level ( = 1.1) based on the yield per recruit analysis and also indicates that the stock is overfished (= 2.09). To reverse the current trend of exploitation, improved management of the stock is required, which should include further studies on other by-catch species and the generation of data to capture the whole fishery for a better estimation of stock status.
URI: http://hdl.handle.net/123456789/1641
ISSN: 0856-860X
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