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Generalised growth models for aquatic species with an application to blacklip abalone (Haliotis rubra)

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Lloyd-Jones, L. R., Wang, Y.-G. and Nash, W. J. (2014) Generalised growth models for aquatic species with an application to blacklip abalone (Haliotis rubra). Ecological Modelling, 272 . pp. 311-322. ISSN 0304-3800; 1872-7026

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Article Link: http://dx.doi.org/10.1016/j.ecolmodel.2013.10.012


This paper presents a maximum likelihood method for estimating growth parameters for an aquatic species that incorporates growth covariates, and takes into consideration multiple tag-recapture data. Individual variability in asymptotic length, age-at-tagging, and measurement error are also considered in the model structure. Using distribution theory, the log-likelihood function is derived under a generalised framework for the von Bertalanffy and Gompertz growth models. Due to the generality of the derivation, covariate effects can be included for both models with seasonality and tagging effects investigated. Method robustness is established via comparison with the Fabens, improved Fabens, James and a non-linear mixed-effects growth models, with the maximum likelihood method performing the best. The method is illustrated further with an application to blacklip abalone (Haliotis rubra) for which a strong growth-retarding tagging effect that persisted for several months was detected. (C) 2013 Elsevier B.V. All rights reserved.

Item Type:Article
Business groups:Animal Science
Subjects:Aquaculture and Fisheries > Fisheries > Fishery research
Aquaculture and Fisheries > Fisheries > Shellfish fisheries
Live Archive:19 Aug 2014 05:19
Last Modified:03 Sep 2021 16:49

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