A Review of Biological Assumptions Underlying Fishery Assessment Models
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.
KeywordsProduction Model Fish Stock Natural Mortality Fishing Effort Fishing Mortality
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