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A length‐based hierarchical model of brown trout ( Salmo trutta fario ) growth and production
Author(s) -
Lecomte JeanBaptiste,
Laplanche Christophe
Publication year - 2012
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.201100083
Subject(s) - brown trout , salmo , biomass (ecology) , abundance (ecology) , growth rate , trout , production (economics) , statistics , environmental science , mathematics , ecology , zoology , biology , fishery , fish <actinopterygii> , macroeconomics , economics , geometry
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.