Maximum Sustainable Yield Estimates of Offshore Finfish in Bangladesh Marine Waters Using Non-Equilibrium CEDA Package

Barua S and Panhwar Sk
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Barua S: Department of Fisheries, Chittagong, Bangladesh
Panhwar Sk: Department of Excellence in Marine Biology, University of Karachi, Pakistan

Current Trends in Biomedical Engineering & Biosciences, 2017, vol. 2, issue 4, 53-58

Abstract: Assessment of offshore finfish in Bangladesh marine waters was analyzed using catch and effort data analysis (CEDA) computer programmer with a view to estimate Maximum Sustainable Yield. The major parameters of this package are Maximum Sustainable Yield (MSY), catch ability coefficient (q), carrying capacity (K), intrinsic growth rate (r), replacement yield and final biomass. CEDA has ability to assess the parameters of Fox, Schaefer and Pella-Tomlinson models. In addition, it has an ability to estimate three error assumptions i.e., least square fit, log transfer and gamma. In this study, the maximum sustainable yield outputs of least square fit of three models of Fox, Schaefer and Pella-Tomlinson are 325160MT (R2=0.927), 379610 MT (R2=0.931) and 379610MT (R2=0.931) respectively. The outputs of error assumption of log transfer are 7951653 MT (R2=0.88) and 1431298 MT (R2=0.87) in Fox and Schaefer models respectively, which are far beyond from expectation. Pella-Tomlinson showed similar value in all error assumptions and in all estimated parameters. The coefficient of variation (CV) of the estimated MSY was about 0.7.

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Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:adp:jctbeb:v:2:y:2017:i:4:p:53-58

DOI: 10.19080/CTBEB.2017.02.555591

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