TY  -  
T1  - Stock Assessment of Exploited Sardine Populations from Northeastern Bay of Bengal Water, Bangladesh Using the Length-Based Bayesian Biomass (LBB) Method 
SN  -  /  
UR  - http://hdl.handle.net/10138/337726 
T3  -  
A1  - Barman, Partho Protim; Liu, Qun; Al-Mamun, Md Abdullah; Schneider, Petra; Mozumder, Mohammad Mojibul Hoque 
A2  -  
PB  -  
Y1  - 2021 
LA  - eng 
AB  - 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 simple length frequency (LF) data. Addressing the present gap, this study aimed to assess the stock status of three sardines (Sardinella fimbriata, Dussumieria acuta, and D. elopsoides) in the Bay of... 
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IS  -  
SP  -  
OP  -  
KW  - clupeiformes; size frequency; capture fisheries; stock status; management; REFERENCE POINTS; FISHERIES; CATCH; COASTAL; BIOLOGY; FISH; 1181 Ecology, evolutionary biology 
N1  -   
PP  -  
ER  -