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

Lloyd-Jones, Luke R., Wang, You-Gan Wang and Nash, Warwick J. (2014) Generalised growth models for aquatic species with an application to blacklip abalone (Haliotis rubra). Ecological Modelling, 272 311-322. doi:10.1016/j.ecolmodel.2013.10.012

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Author Lloyd-Jones, Luke R.
Wang, You-Gan Wang
Nash, Warwick J.
Title Generalised growth models for aquatic species with an application to blacklip abalone (Haliotis rubra)
Formatted title
Generalised growth models for aquatic species with an application to blacklip abalone (Haliotis rubra)
Journal name Ecological Modelling   Check publisher's open access policy
ISSN 0304-3800
1872-7026
Publication date 2014-01-01
Year available 2013
Sub-type Article (original research)
DOI 10.1016/j.ecolmodel.2013.10.012
Volume 272
Start page 311
End page 322
Total pages 12
Place of publication Amsterdam, Netherlands
Publisher Elsevier
Language eng
Subject 2302 Ecological Modelling
Formatted abstract
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.
Keyword Aquatic species growth
Gompertz model
Maximum likelihood method
Multiple tag-recapture data
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Mathematics and Physics
Official 2014 Collection
 
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