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Performance of age-only state-space assessment models under diverse somatic growth scenarios



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  • Journal Title:
    Canadian Journal of Fisheries and Aquatic Sciences
  • Personal Author:
  • NOAA Program & Office:
  • Description:
    Recent developments have allowed state-space assessment models (SSAMs) to incorporate processes such as growth, size-based selectivity and maturity; however, many assessments continue to approximate them as age-based (“age-only” SSAMs). In this study, we use a simulation experiment to evaluate how different factors related to the sampling scheme and the type of growth variability affect the performance of age-only SSAMs. We followed two simulation approaches: “traditional”, which assumes all processes in the simulation are age-based, and “stepwise”, which aims to approximate the age–length dynamics and sampling process. We found that the traditional approach may produce overly optimistic performance by ignoring the age–length dynamics. Also, a length-stratified sampling scheme for ageing improves recruitment estimates, while a random sampling scheme may be preferable for estimating population mean weight-at-age. Modelling time-varying selectivity when variability in somatic growth is present is critical to improving recruitment variability and SSB estimates. Our results offer practical guidance when implementing SSAMs with age-specific data and highlight the importance of accounting for growth dynamics and sampling design in the assessment process.
  • Source:
    Canadian Journal of Fisheries and Aquatic Sciences, 82, 1-17
  • DOI:
  • ISSN:
    0706-652X ; 1205-7533
  • Format:
    pdf
  • Publisher:
    Canadian Science Publishing
  • Document Type:
    Journal Article
  • Funding:
    Grant no. NA20OAR4320271
  • Rights Information:
    Accepted Manuscript
  • Compliance:
    Submitted
  • Main Document Checksum:
    urn:sha-512:4040162d08af52acd75fe823f33565d6fddb6accc7bcec2a0338a9e14ea33e510eda0a1ac9b2c7492806e7cda71b52d7eca622d165a05bd70567e8c16da669c0
  • Download URL:
  • File Type:
    Filetype[PDF - 5.05 MB ]
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