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Stock assessment for Atlantic yellowfin tuna based on extended surplus production model considering life history

Acta Oceanologica Sinica 2022年第8期41卷 41-51页

作者： Zhipan Tian Fei Wang Siquan Tian Qiuyun Ma College of Marine Sciences Shanghai Ocean UniversityShanghai 201306China National Distant-water Fisheries Engineering Research Center Shanghai 201306China Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources Ministry of EducationShanghai 201306China Fisheries College Zhejiang Ocean UniversityZhoushan 316022China

The modern fishery stock assessment could be conducted by various models,such as Stock Synthesis model with high data requirement and complicated model structure,and the basic surplus production model,which fails to incorporate individual growth,maturity,and fishery selectivity,*** this study,the Just Another Bayesian Biomass Assessment(JABBA)Select which is relatively balanced between complex and simple models,was used to conduct stock assessment for yellowfin tuna(Thunnus albacares)in the Atlantic *** population dynamics was evaluated,considering the influence of selectivity patterns and different catch per unit effort(CPUE)indices on the stock assessment *** model with three joint longline standardized CPUE indices and logistic selectivity pattern performed well,without significant retrospective *** results indicated that the stock is not overfished and not subject to overfishing in *** analyses indicated that stock assessment results are robust to natural mortality but sensitive to steepness of the stock-recruitment relationship and fishing *** steepness was revealed to be more appropriate for this stock,while the fishing selectivity has greater influence to the assessment results than life history ***,JABBA-Select is suitable for the stock assessment of Atlantic yellowfin tuna with different selectivity patterns,and the assumptions of natural mortality and selectivity pattern should be improved to reduce uncertainties.

关键词： population dynamics selectivity tropical tuna fishery management

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