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Confronting transitions in fishery fleet structure and selectivity: Practical recommendations for integrated age-structured stock assessments based on simulation analysis



Details

  • Journal Title:
    Canadian Journal of Fisheries and Aquatic Sciences
  • Personal Author:
  • NOAA Program & Office:
  • 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.
  • Source:
    Canadian Journal of Fisheries and Aquatic Sciences (2024)
  • DOI:
  • ISSN:
    0706-652X ; 1205-7533
  • Format:
    PDF
  • Publisher:
    Canadian Science Publishing
  • Document Type:
    Journal Article
  • Rights Information:
    Accepted Manuscript
  • Compliance:
    Submitted
  • Main Document Checksum:
    urn:sha-512:2f44298d569e9c46c16faca2b89d430f76ee750f5859b81cd595b3f1e1427482b15728c8fdf43814b4e2a522459bee03cb99a79c6e2f8e55660f8e7ff73fb379
  • Download URL:
  • File Type:
    Filetype[PDF - 1.85 MB ]
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