Effect of individual variability on estimation of population parameters from length-frequency data

Wang, Y-G. & Ellis, N. (1998) Effect of individual variability on estimation of population parameters from length-frequency data. Canadian Journal of Fisheries and Aquatic Sciences, 55(11), pp. 2393-2401.

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Abstract

We consider estimation of mortality rates and growth parameters from length-frequency data of a fish stock when there is individual variability in the von Bertalanffy growth parameter L-infinity and investigate the possible bias in the estimates when the individual variability is ignored. Three methods are examined: (i) the regression method based on the Beverton and Holt's (1956, Rapp. P.V. Reun. Cons. Int. Explor. Mer, 140: 67-83) equation; (ii) the moment method of Powell (1979, Rapp. PV. Reun. Int. Explor. Mer, 175: 167-169); and (iii) a generalization of Powell's method that estimates the individual variability to be incorporated into the estimation. It is found that the biases in the estimates from the existing methods are, in general, substantial, even when individual variability in growth is small and recruitment is uniform, and the generalized method performs better in terms of bias but is subject to a larger variation. There is a need to develop robust and flexible methods to deal with individual variability in the analysis of length-frequency data.

Impact and interest:

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14 citations in Web of Science®

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ID Code: 90615
Item Type: Journal Article
Refereed: Yes
Additional Information: ISI Document Delivery No.: 149LB
Times Cited: 13
Cited Reference Count: 9
Wang, YG Ellis, N
Natl research council canada
Ottawa
Keywords: growth
DOI: 10.1139/cjfas-55-11-2393
ISSN: 0706-652X
Divisions: Current > QUT Faculties and Divisions > Faculty of Health
Copyright Owner: Copyright 1998 NRC Research Press
Deposited On: 22 Nov 2015 23:59
Last Modified: 22 Nov 2015 23:59

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