Addressing challenges in single species assessments via a simple state-space assessment model.

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Abstract

Single-species and age-structured fish stock assessments still remains the main tool for managing fish stocks. A simple state-space assessment model is presented as an alternative to (semi) deterministic procedures and the full parametric statistical catch at age models. It offers a solution to some of the key challenges of these models. Compared to the deterministic procedures it solves a list of problems originating from falsely assuming that age classified catches are known without errors and allows quantification of uncertainties of estimated quantities of interest. Compared to full parametric statistical catch at age models the state-space assessment model avoids the problem of fishing mortality being restricted to a parametric structure (e.g. multiplicative), and problems related to having a high number of model parameters compared to the number of observations. The main criticism of state-space assessment models is that they tend to be more conservative (react slower to changes) than the alternatives. A solution to this criticism is offered by introducing a mixture distribution for the transitions steps. The model presented is used for several commercially important stocks at the International Council for the Exploration of the Sea
Original languageEnglish
Publication date2013
Publication statusPublished - 2013
EventWorld conference on stock assessment methods - Boston, United States
Duration: 17 Jul 201319 Jul 2013

Conference

ConferenceWorld conference on stock assessment methods
Country/TerritoryUnited States
CityBoston
Period17/07/201319/07/2013

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