PARAMETRIZACION AMBIENTAL EN MODELOS BIOLOGICO-PESQUEROS: UNA REVISION

the incorporation of environmental variability in fisheries biology models commonly used in stock assessment is analyzed from a biological and quantitative standpoint. the review is focused mainly on the parameterization of the physical and chemical conditions of the habitat. the main fisheries-biology models analyzed deal with individual growth, production, recruitment and the standardization of catch per unit effort. there are three main approaches used to parameterized the environment into the fisheries-biology models: (i) theoretical-mechanistic modeling of the environment, (ii) stochastic modeling with environmental connotation, and (iii) modeling through time series analysis with environmental autocorrelation. the parameterization of environmental variability can diminish the uncertainty in stock assessment and, consequently, can potentially improve fisheries management. more mathematical and computational development is required to generate multiparametric models that explicitly incorporate environmental variability diminishing, in this way, the non-explained variance by conventional stock assessment models. fisheries-biology models spatially explicit and ecosystemic seem to provide the most promising approach to confront this challenge