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Evaluating mortality using length-frequency data when growth parameters are poorly known

Gobert, B. (1997) Evaluating mortality using length-frequency data when growth parameters are poorly known. Naga, the ICLARM Quarterly, 20(3-4), pp. 46-51.

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    Abstract

    A method is presented through which the total mortality undergone by several fish stocks of the same species can be compared when growth parameters are poorly known or unknown. Whereas the estimate of Z obtained via the length-converted catch curve is highly sensitive to the input parameters K and L sub( infinity ), the ratio of Z estimates obtained for different stocks with the same combination of parameters is almost independent of these inputs, at least when the fit of the linear regression is good. The method is tested on simulated data and an application is presented using real data from the Lesser Antilles. It provides the possibility of qualitatively comparing several stocks in situations of scarce biological knowledge.

    Item Type: Article
    Title: Evaluating mortality using length-frequency data when growth parameters are poorly known
    Personal Creator/Author:
    CreatorsEmail
    Gobert, B.
    Journal or Publication Title: Naga, the ICLARM Quarterly
    Volume: 20
    Number: 3-4
    Page Range: pp. 46-51
    Date: 1997
    ISSN: 0116-290X
    Issuing Agency: WorldFish Center
    Uncontrolled Keywords: Total mortality; Fishery data; Length; Frequency analysis; Growth; Stock assessment; Simulation; Methodology; Lesser Antilles
    Subjects: Fisheries
    Item ID: 9207
    Depositing User: Mr William Ko
    Date Deposited: 29 Nov 2012 09:21
    Last Modified: 29 Nov 2012 09:21
    URI: http://aquaticcommons.org/id/eprint/9207

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