Estimating Stock Status and Biological Reference Points of the Sardine Fishery Using the Surplus Production Model from the Bay of Bengal, Bangladesh
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Published:2023-04-28
Issue:5
Volume:11
Page:944
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ISSN:2077-1312
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Container-title:Journal of Marine Science and Engineering
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language:en
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Short-container-title:JMSE
Author:
Sultana Rokeya12, Liu Qun1, Al-Mamun Md. Abdullah13ORCID, Barman Partho Protim4, Shamsuzzaman Md. Mostafa4ORCID, Barua Suman13ORCID
Affiliation:
1. College of Fisheries, Ocean University of China, Qingdao 266003, China 2. Directorate of Secondary and Higher Education, Ministry of Education, Dhaka 1000, Bangladesh 3. Department of Fisheries, Ministry of Fisheries & Livestock, Dhaka 1000, Bangladesh 4. Department of Coastal and Marine Fisheries, Sylhet Agricultural University, Sylhet 3100, Bangladesh
Abstract
This research examined the biological reference points (BRPs) and stock status of the sardine fishery in the Bay of Bengal (BoB), Bangladesh, to determine the sustainability of this resource. The Monte Carlo method (CMSY), the Bayesian state-space Schaefer surplus production model (BSM), and the ASPIC (a Stock Production Model Incorporating Covariates) software suite, were used to analyze catch–effort data obtained from the Yearbook of Fisheries Statistics of Bangladesh. All models derived maximum sustainable yields (MSY) ranging from 37,900 to 41,280 t, which is quite near to the catch from the latest year (38,051 t in 2020), indicating the fully exploited status of sardines. The estimated B < BMSY and F > FMSY values from the BSM and Schaefer models indicate a poor biomass and an unsafe fishing status. For Schaefer and BSM, the calculated F/FMSY values were 1.07 and 1.06, and the B/BMSY values were 0.92 and 0.75, which also indicate the overexploited status of the sardine fishery in the BoB, Bangladesh. This information will aid in developing management strategies and conservation policies for the sustainability and rebuilding of this commercially important resource in the BoB on the Bangladesh coast.
Funder
the basic research fund of Ocean University of China
Subject
Ocean Engineering,Water Science and Technology,Civil and Structural Engineering
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