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ISSN : 1225-827X(Print)
ISSN : 2287-4623(Online)
Journal of the Korean Society of Fisheries and Ocean Technology Vol.55 No.2 pp.95-104
DOI : 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

Ji Hoon CHOI,Do Hoon KIM,Min-Je CHOI,Hee Joong KANG,Young Il SEO,Jae Bong LEE

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.