Journal article
Parameterization of European perch Perca fluviatilis length-at-age data using stochastic Gompertz growth models
VS Troynikov, HK Gorfine, L Ložys, Z Putys, E Jakubavičiute, RW Day
Journal of Fish Biology | WILEY | Published : 2011
Abstract
Three stochastic versions of the Gompertz growth model were used to parameterize total length (L T)-at-age data for perch Perca fluviatilis, an important target species for commercial and recreational fishers and a food species for predatory fishes and aquatic birds. Each model addresses growth heterogeneity by incorporating random parameters from a specific positive distribution: Weibull, gamma or log-normal. The modelling outputs for each version of the model provide L T distributions for selected ages and percentiles of L T at age for both males and females. The results highlight the importance of using a stochastic approach and the logistic-like growth pattern for analysing growth data f..
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Awarded by Research Council of Lithuania
Funding Acknowledgements
This study was supported by a grant from the Research Council of Lithuania under its programme 'Lithuania Ecosystems: Climate change and environmental impact' (grant no. LEK-24/2010). The authors gratefully acknowledge the assistance of R. Bukontaite from the Laboratory of Marine Ecology of the Nature Research Centre who assisted with manuscript preparation including the drafting of the Fig. 1. The authors are similarly grateful to R. Repecka for assisting with the fieldwork for this study. Two anonymous reviewers provided constructive comments on an earlier version of this manuscript. H. Gorfine and V. Troynikov were partly supported by research funding from the Department of Zoology, University of Melbourne.