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http://dx.doi.org/10.3796/KSFOT.2019.55.2.095

Stock assessment and management of blackthroat seaperch Doederleinia seaperch using Bayesian state-space model  

CHOI, Ji Hoon (Fisheries Resources Research Division, National Institute of Fisheries Science)
KIM, Do Hoon (Department of Marine & Fisheries Business and Economics, Pukyong National University)
CHOI, Min-Je (Department of Marine & Fisheries Business and Economics, Pukyong National University)
KANG, Hee Joong (Fisheries Resources Research Division, National Institute of Fisheries Science)
SEO, Young Il (Fisheries Resources Research Division, National Institute of Fisheries Science)
LEE, Jae Bong (Fisheries Resources Research Division, National Institute of Fisheries Science)
Publication Information
Journal of the Korean Society of Fisheries and Ocean Technology / v.55, no.2, 2019 , pp. 95-104 More about this Journal
Abstract
This study is aimed to take a stock assessment of blackthroat seaperch Doederleinia seaperch regarding the fishing effort of large-powered Danish Seine Fishery and Southwest Sea Danish Seine Fishery. For the assessment, the state-space model was implemented and the standardized catch per unit effort (CPUE) of large powered Danish Seine Fishery and Southwest Sea Danish Seine Fishery which is necessary for the model was estimated with generalized linear model (GLM). The model was adequate for stock assessment because its r-square value was 0.99 and root mean square error (RMSE) value was 0.003. According to the model with 95% confidence interval, maximum sustainable yield (MSY) of Blackthroat seaperch is from 2,634 to 6,765 ton and carrying capacity (K) is between 33,180 and 62,820. Also, the catchability coefficient (q) is between 2.14E-06 and 3.95E-06 and intrinsic growth rate (r) is between 0.31 and 0.72.
Keywords
Doederleinia seaperch; Fisheries management; Generalized Liner Model; State-space model;
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