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Stock Assessment of the Southern Bluefin Tuna Thunnus maccoyii Using the MULTIFAN-CL Model

MULTIFAN-CL 모델을 이용한 남방참다랑어 Thunnus maccoyii의 자원 평가

  • Kwon, You-Jung (Department of Marine Production Management, Pukyong National University) ;
  • Moon, Dae-Yeon (Distant Water Fisheries Resources Team, National Fisheries Research and Development Institute) ;
  • Zhang, Chang-Ik (Department of Marine Production Management, Pukyong National University) ;
  • Koh, Jeong-Rack (Fisheries Resources Restoration Development Management Center, National Fisheries Research and Development Institute)
  • 권유정 (부경대학교 해양생산관리학과) ;
  • 문대연 (국립수산과학원 해외자원팀) ;
  • 장창익 (부경대학교 해양생산관리학과) ;
  • 고정락 (국립수산과학원 자원회복사업단)
  • Published : 2007.12.31

Abstract

We assessed the stock of the southern bluefin tuna (SBT, Thunnus maccoyii) by applying the MULTIFAN-CL model. The model is spatially disaggregated, with the population and fisheries stratified into a number of regions within the overall stock range. Catch, effort, length-frequency, and tagging data from 1965 to 2003 were stratified by three regions and four quarters (Jan-Mar, Apr-Jun, Jul-Sept and Oct-Dec). These data were used to estimate the instantaneous fishing mortality (F), biomass, spawning biomass, recruitment, and so on. The Commission for the Conservation of Southern Bluefin Tuna (CCSBT) used only Japanese data and did not consider migration for the SBT stock assessment. By contrast, we used Japanese, Australian, New Zealand, Taiwanese, and Korean data, and considered migration. As a result, the estimated annual average F of all age classes was 0.073/yr and the F of age class 6-10 was the highest. The results also showed that the biomass and recruitment of SBT had declined significantly after 1965. Compared with the CCSBT results, the estimated spawning biomass in this study was lower and more uncertain. However, we will conduct a sensitivity analysis to get more accurate biological parameters and results. In addition, we need to use the bootstrap resampling method to quantify the uncertainty.

Keywords

References

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