Maximum likelihood estimation of mortality and growth with individual variability from multiple length-frequency data

Wang, You-Gan and Ellis, Nick (2005) Maximum likelihood estimation of mortality and growth with individual variability from multiple length-frequency data. Fishery Bulletin, 103(2), pp. 380-391.

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Abstract

We consider estimation of mortality rates and growth parameters from length-frequency data of a fish stock and derive the underlying length distribution of the population and the catch when there is individual variability in the von Bertalanffy growth parameter L∞. The model is flexible enough to accommodate 1) any recruitment pattern as a function of both time and length, 2) length-specific selectivity, and 3) varying fishing effort over time. The maximum likelihood method gives consistent estimates, provided the underlying distribution for individual variation in growth is correctly specified. Simulation results indicate that our method is reasonably robust to violations in the assumptions. The method is applied to tiger prawn data (Penaeus semisulcatus) to obtain estimates of natural and fishing mortality.

Item Type: Article
Title: Maximum likelihood estimation of mortality and growth with individual variability from multiple length-frequency data
Personal Creator/Author:
CreatorsEmail
Wang, You-Gan
Ellis, Nick
Refereed: Yes
Journal or Publication Title: Fishery Bulletin
Volume: 103
Number: 2
Page Range: pp. 380-391
Date: 2005
ISSN: 0090-0656
Issuing Agency: United States National Marine Fisheries Service
Subjects: Biology
Ecology
Fisheries
Item ID: 9622
Depositing User: Patti M. Marraro
Date Deposited: 02 Aug 2012 17:06
Last Modified: 02 Aug 2012 17:06
URI: http://aquaticcommons.org/id/eprint/9622

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