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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Official URL: http://www.worldfishcenter.org/Naga/na_2265.pdf

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 08:21
Last Modified: 29 Nov 2012 08:21
URI: http://aquaticcommons.org/id/eprint/9207

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