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A length-based hierarchical model of brown trout (Salmo trutta fario) growth and production

Lecomte, Jean-Baptiste and Laplanche, Christophe A length-based hierarchical model of brown trout (Salmo trutta fario) growth and production. (2012) BiometricalJournal, vol. 54 (n° 1). pp. 108-126. ISSN 0323-3847

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Official URL: http://dx.doi.org/10.1002/bimj.201100083

Abstract

We present a hierarchical Bayesian model (HBM) to estimate the growth parameters, production, and production over biomass ratio (P/B) of resident brown trout (Salmo trutta fario) populations. The data which are required to run the model are removal sampling and air temperature data which are conveniently gathered by freshwater biologists. The model is the combination of eight submodels: abundance, weight, biomass, growth, growth rate, time of emergence, water temperature, and production. Abundance is modeled as a mixture of Gaussian cohorts; cohorts centers and standard deviations are related by a von Bertalanffy growth function; time of emergence and growth rate are functions of water temperature; water temperature is predicted from air temperature; biomass, production, and P/B are subsequently computed. We illustrate the capabilities of the model by investigating the growth and production of a brown trout population (Neste d’Oueil, Pyrénées, France) by using data collected in the field from 2005 to 2010.

Item Type:Article
Additional Information:Thanks to Wiley-VCH Verlag Berlin editor. The definitive version is available at http://onlinelibrary.wiley.com/doi/10.1002/bimj.201100083/abstract
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT
Université de Toulouse > Université Paul Sabatier-Toulouse III - UPS
Laboratory name:
Statistics:download
Deposited By: Nadia Kelmouss

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