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베이지안 State-space 모델을 이용한 눈볼대 자원평가 및 관리방안 KCI 등재

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

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  • URLhttps://db.koreascholar.com/Article/Detail/371543
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수산해양기술연구 (Journal of the Korean Society of Fisheries and Ocean Technology)
한국수산해양기술학회(구 한국어업기술학회) (The Korean Society of Fisheriers and Ocean Technology)
초록

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.

목차
서 론
 재료 및 방법
  분석자료
  분석방법
  State-space 모델
 결과 및 고찰
  CPUE 표준화
  State-space 모델 검정
  State-space 모델 분석결과
  눈볼대 수산자원회복수단에 대한 효과분석
 결 론
 References
저자
  • 최지훈(국립수산과학원 연근해자원과) | Ji Hoon CHOI (Fisheries Resources Research Division, National Institute of Fisheries Science)
  • 김도훈(부경대학교 해양수산경영학과) | Do Hoon KIM (Department of Marine & Fisheries Business and Economics, Pukyong National University)
  • 최민제(부경대학교 해양수산경영학과) | Min-Je CHOI (Department of Marine & Fisheries Business and Economics, Pukyong National University)
  • 강희중(국립수산과학원 연근해자원과) | Hee Joong KANG (Fisheries Resources Research Division, National Institute of Fisheries Science)
  • 서영일(국립수산과학원 연근해자원과) | Young Il SEO (Fisheries Resources Research Division, National Institute of Fisheries Science)
  • 이재봉(국립수산과학원 연근해자원과) | Jae Bong LEE (Fisheries Resources Research Division, National Institute of Fisheries Science) Corresponding author