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Confronting transitions in fishery fleet structure and selectivity: Practical recommendations for integrated age-structured stock assessments based on simulation analysis
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2024
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Source: Canadian Journal of Fisheries and Aquatic Sciences (2024)
[PDF-1.85 MB]
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Journal Title:Canadian Journal of Fisheries and Aquatic Sciences
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Description:Dynamic shifts in fleet structure and gear usage lead to complex implications for representing fishery selectivity in stock assessment models. There is generally a lack of consensus on how assessment models should be configured to confront changes in fishery fleet structure or associated selectivity forms, while balancing complexity-parsimony tradeoffs. We conducted a simulation analysis to evaluate the performance of alternative assessment models when confronted with fleet transitions among gear types, which included differences in: 1) rates of transition (i.e., a fast or slow transition among gears), and 2) selectivity forms for each modeled fleet (i.e., asymptotic or dome-shaped). In general, explicitly modelling fleet structure (i.e., multi-fleet models) performed well, but demonstrated bias in biomass estimates and management reference points when selectivity forms were mis-specified. Single-fleet models were only unbiased when time-varying selectivity (e.g., using time blocks or continuous formulations) was estimated to account for changes among gear types. Our results suggest that single-fleet models with time-varying fishery selectivity are adequate for operational management advice, but research oriented multi-fleet models should be used as validation tools to explore model consistency within single-fleet models.
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Source:Canadian Journal of Fisheries and Aquatic Sciences (2024)
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ISSN:0706-652X;1205-7533;
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Rights Information:Accepted Manuscript
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Compliance:Submitted
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