Stock Assessment of Exploited Sardine Populations from Northeastern Bay of Bengal Water, Bangladesh Using the Length-Based Bayesian Biomass (LBB) Method

Stock Assessment of Exploited Sardine Populations from Northeastern Bay of Bengal Water, Bangladesh Using the Length-Based Bayesian Biomass (LBB) Method

Stock assessment is necessary to understand the status of fishery stocks. However, for the data-poor fishery, it is very challenging to assess the stock status. The length-based Bayesian biomass (LBB) technique is one of the most powerful methods to assess the data-poor fisheries resources that need...

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Bibliographic Details
Main Authors: Partho Protim Barman, Qun Liu, Md. Abdullah Al-Mamun, Petra Schneider, Mohammad Mojibul Hoque Mozumder
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Journal of Marine Science and Engineering
Subjects:
clupeiformes
size frequency
capture fisheries
stock status
management
Online Access:https://www.mdpi.com/2077-1312/9/10/1137

Internet

https://www.mdpi.com/2077-1312/9/10/1137

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