Journal of the Korean Society of Fisheries and Ocean Technology (수산해양기술연구)

The Korean Society of Fisheries and Ocean Technology (한국수산해양기술학회)
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Management of small yellow croaker and hairtail in Korean waters using the length-based production value-per-recruit (PPR) analysis

체장기반 가입당생산액 분석에 의한 한국 연근해 참조기 Larimichthys polyactis 자원과 갈치 Trichiurus lepturus 자원의 관리

  • Zhang, Chang-Ik (Divison of Marine production System management, Pukyong National University) ;
  • Kim, Hyun-A (Department of Fisheries Physics, Graduate school, Pukyong National University) ;
  • Kang, Hee-Joong (Department of Fisheries Physics, Graduate school, Pukyong National University)
  • 장창익 (부경대학교 해양생산시스템관리학부) ;
  • 김현아 (부경대학교 수산물리학과) ;
  • 강희중 (부경대학교 수산물리학과)
  • Received : 2016.06.15
  • Accepted : 2016.08.30
  • Published : 2016.08.31
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Abstract

Yield-per-recruit (YPR) analysis is used to provide management guidance for the efficient use of a fish cohort. However, the individual fish price per unit weight of small yellow croaker (Larimichthys polyactis) or hairtail (Trichiurus lepturus) increases dramatically by size in Korea. Therefore, age-based production value-per-recruit (PPR) analysis has recently been developed (Zhang et al., 2014). Since age determination requires a substantial amount of money and time and it is even impossible for some fish species, it is difficult to obtain age information to apply the age-based PPR model. Thus, we attempted to develop an alternative method, which uses length data rather than age information, called the length-based PPR analysis. The results revealed that length-based PPR analysis was much more conservative for stock management than the YPR analysis. Furthermore, the PPR analysis was more economically beneficial than the YPR analysis, which can prevent the fish stock from the economic overfishing. In conclusion, the length-based PPR analysis could be a proper approach for stock assessment in the case that the individual fish price per unit weight increases dramatically by size, and this analysis is useful to obtain vital management parameters under data-deficient situation when traditional stock assessment methods are not applicable.

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References

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