Parameterization of European perch Perca fluviatilis length-at-age data using stochastic Gompertz growth models

Three stochastic versions of the Gompertz growth model were used to parameterize total length (LT)‐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 heter...

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Bibliographic Details
Published in:Journal of fish biology 2011-12, Vol.79 (7), p.1940-1949
Main Authors: Troynikov, V. S., Gorfine, H. K., Ložys, L., Pūtys, Z., Jakubavičiūtė, E., Day, R. W.
Format: Article
Language:English
Subjects:
Animals
Body Size
Curonian Lagoon
Female
gamma
great cormorants
Lithuania
log-normal
Male
Models, Biological
Perca fluviatilis
Perches - growth & development
Phalacrocorax carbo sinensis
Weibull
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Summary:Three stochastic versions of the Gompertz growth model were used to parameterize total length (LT)‐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 LT distributions for selected ages and percentiles of LT 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 for P. fluviatilis in Curonian Lagoon (Lithuania). Outputs from this modelling can be extended to a stochastic analysis of fish cohort dynamics, incorporating all length‐based biological relationships, and the selectivity‐related interactions between fish cohorts and fishing gear.
ISSN:0022-1112
1095-8649
DOI:10.1111/j.1095-8649.2011.03135.x