MULTIFAN-CL: a length-based, age-structured model for fisheries stock assessment, with application to South Pacific albacore, Thunnus alalunga

We introduce a length-based, age-structured model, MULTIFAN-CL, that provides an integrated method of estimating catch age composition, growth parameters, mortality rates, recruitment, and other parameters from time series of fishery catch, effort, and length frequency data. The method incorporates...

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Bibliographic Details
Published inCanadian journal of fisheries and aquatic sciences Vol. 55; no. 9; pp. 2105 - 2116
Main Authors Fournier, Daid A, Hampton, John, Sibert, John R
Format Journal Article
LanguageEnglish
Published Ottawa, Canada NRC Research Press 01.09.1998
National Research Council of Canada
Canadian Science Publishing NRC Research Press
Subjects
Age composition
Animal, plant and microbial ecology
Applied ecology
Biological and medical sciences
Exploitation and management of natural biological resources (hunting, fishing and exploited populations survey, etc.)
Fish
Fisheries
Fishing industry
Fundamental and applied biological sciences. Psychology
Marine
R&D
Research & development
Supply
Thunnus alalunga
South Pacific
Pacific Ocean
IS, South Pacific
Bayes estimation
Evaluation
Parameter estimation
Growth
Mortality
Population structure
Confidence interval
Marine environment
Vertebrata
Fishery
Pisces
Body size
Thunnus alalunga
Models
Stock
Age distribution
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Summary:We introduce a length-based, age-structured model, MULTIFAN-CL, that provides an integrated method of estimating catch age composition, growth parameters, mortality rates, recruitment, and other parameters from time series of fishery catch, effort, and length frequency data. The method incorporates Bayesian parameter estimation, estimation of confidence intervals for model parameters, and procedures for hypothesis testing to assist model development. We apply the method to South Pacific albacore, Thunnus alalunga, fishery data and demonstrate the incorporation of model structure such as spatial heterogeneity, age-dependent natural mortality and movement rates, time series trends and seasonal variation in catchability, and density-dependent growth. Consistency of the results of the albacore analysis with various exogenous sets of biological and environmental data gives credence to the model results.
Bibliography:ObjectType-Article-1
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ISSN:0706-652X
1205-7533
DOI:10.1139/f98-100