A Review of Biological Assumptions Underlying Fishery Assessment Models

  • Bernard A. Megrey
  • Vidar G. Wespestad
  • Gordon L. Swartzman
Conference paper
Part of the Lecture Notes on Coastal and Estuarine Studies book series (COASTAL, volume 28)

Abstract

This paper presents a review of fishery assessment models commonly used in the management of marine fisheries. In our review particular attention is paid to underlying biological and technical assumptions, both implicit and explicit. We also discuss the development of important fishery assessment models and their various levels of complexity from a historical perspective. The models reviewed include production models, dynamic pool models, sequential population assessment models (VPA and/or cohort analysis), spawner-recruit models, and simulation models. Each model is described in terms of management objectives, information needs, mathematical formulation, assumptions, advantages and disadvantages. The practical utility of a model from a stock assessment and/or management perspective is also discussed.

Keywords

Production Model Fish Stock Natural Mortality Fishing Effort Fishing Mortality 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1988

Authors and Affiliations

  • Bernard A. Megrey
    • 1
  • Vidar G. Wespestad
    • 1
  • Gordon L. Swartzman
    • 2
  1. 1.Northwest and Alaska Fisheries CenterNational Marine Fisheries ServiceSeattleUSA
  2. 2.Center for Quantitative Sciences, FisheriesUniversity of WashingtonSeattleUSA

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