Good practices for Surplus Production Models

A. Kokkalis*, C.W. Berg, M.S. Kapur, H. Winker, N.S. Jacobsen, M.H. Taylor, M. Ichinokawa, M. Miyagawa, W. Medeiros-Leal, J.R. Nielsen, T.K. Mildenberger

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

Surplus production models (SPMs) have a long history in fisheries ecology and are important for the assessment and management of marine species and stocks. However, the implementation, application, and usage of these models vary across regions and case studies. Good practice guidelines can streamline modelling workflows, inform the acceptance or rejection of an assessment, and facilitate the derivation of management advice from accepted assessments. This paper discusses current practices in the application of SPMs and proposes good practice guidelines for their use in stock assessment. We complement our recommendations with results from a simulation study examining the performance of an age-based operating model and a SPM assessment model under 60 scenarios with various assumptions regarding data quantity, quality, and model priors. We provide specific good practice guidelines for two widely used state-space SPMs: SPiCT and JABBA. Finally, we discuss current limitations and suggest avenues for future developments for SPMs.
Original languageEnglish
Article number107010
JournalFisheries Research
Volume275
Number of pages13
ISSN0165-7836
DOIs
Publication statusPublished - 2024

Keywords

  • SPiCT
  • JABBA
  • Data-moderate stock assessment
  • Fisheries management
  • Science-based advice

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