Micro-analytical models – virtual population analysis, Thompson & Bell- Winter School on Towards Ecosystem Based Management of Marine Fisheries – Building Mass Balance Trophic and Simulation Models

Srinath, M (2004) Micro-analytical models – virtual population analysis, Thompson & Bell- Winter School on Towards Ecosystem Based Management of Marine Fisheries – Building Mass Balance Trophic and Simulation Models. [Teaching Resource]

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    Abstract

    The most methods currently used in temperate fisheries stock assessments rely on catch-at-age data an among them virtual population analysis (VPA) or cohort analysis is the most common method that calculates stock size based on catches with no underlying statistical assumptions. Virtual population analysis (VPA) calculates past stock abundances based on past catches. Once stock sizes are calculated, fishing size-selectivity as well as changes in vulnerability over time can be determined. The stock size estimates, which include recruitment estimates for each year, can be used for stock and recruitment analysis. VPA, also known as cohort analysis, is one of the most powerful techniques available for the analysis of fisheries data and forms the heart of many current assessment methods where catch-at-age data are available. Virtual population analysis or VPA is basically an analysis of the catches of commercial fisheries,

    Item Type: Teaching Resource
    Uncontrolled Keywords: Micro-analytical models; virtual population analysis
    Subjects: Marine Fisheries > Analytical models
    Marine Fisheries > Population Dynamics
    Divisions: CMFRI-Kochi > Marine Capture > Fishery Resources Assessment Division
    Subject Area > CMFRI > CMFRI-Kochi > Marine Capture > Fishery Resources Assessment Division
    CMFRI-Kochi > Marine Capture > Fishery Resources Assessment Division
    Subject Area > CMFRI-Kochi > Marine Capture > Fishery Resources Assessment Division
    Depositing User: Arun Surendran
    Date Deposited: 20 Oct 2010 05:29
    Last Modified: 09 Sep 2015 15:31
    URI: http://eprints.cmfri.org.in/id/eprint/5268

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