Ocean and Polar Research

  • 제41권3호
  • /
  • Pages.183-191
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  • 2019
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  • 1598-141X(pISSN)
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  • 2234-7313(eISSN)
한국해양과학기술원 (Korea Institute of Ocean Science & Technology)
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효과적인 자원평가모델 선정을 위한 잉여생산량모델의 비교 분석: 동해 생태계의 잠재생산량 분석을 대상으로

Comparing Surplus Production Models for Selecting Effective Stock Assessment Model: Analyzing Potential Yield of East Sea, Republic of Korea

  • 최민제 (국립부경대학교 수산과학대학 해양수산경영학과) ;
  • 김도훈 (국립부경대학교 수산과학대학 해양수산경영학과)
  • Choi, Min-Je (Department of Marine & Fisheries Business and Economics, College of Fisheries Sciences, Pukyong National University) ;
  • Kim, Do-Hoon (Department of Marine & Fisheries Business and Economics, College of Fisheries Sciences, Pukyong National University)
  • 투고 : 2019.06.13
  • 심사 : 2019.09.07
  • 발행 : 2019.09.30
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초록

This study sought to find which model is most appropriate for estimating potential yield in the East Sea, Republic of Korea. For comparison purposes, the Process-error model, ASPIC model, Maximum entropy model, Observation-error model, and Bayesian state-space model were applied using data from catch amounts and total efforts of the whole catchable fishes in the East Sea. Results showed that the Bayesian state-space model was estimated to be the most reliable among the models. Potential yield of catchable species was estimated to be 227,858 tons per year. In addition, it was analyzed that the amount of fishery resources in 2016 was about 63% of the biomass that enables a fish stock to deliver the maximum sustainable yield.

키워드

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