Estimación del crecimiento individual en elasmobranquios: la inferencia con modelos múltiples
2014; Universidad Autónoma Metropolitana; Volume: 24; Issue: 2 Linguagem: Inglês
ISSN
2448-7333
AutoresAna Bricia Guzmán‐Castellanos, Enrique Morales‐Bojórquez, Eduardo F. Balart,
Tópico(s)Fish Biology and Ecology Studies
ResumoElasmobranchs play an important role in marine ecosystem and worldwide fisheries. Accurate and quantitative description of growth is crucial in modeling the demography and fisheries stock assessment. This study reviews the quantitative methods (asymptotic, non-asymptotic, and generalized), algorithms, and criteria for the model selection applied for growth modeling in elasmobranchs. We analyzed and contrasted the criteria for model selection, mainly between model selection using r 2 and information theoretic approach. In marine organisms, the Akaike information criterion (AIC) has been frequently used as a measure of the relative goodness of fit of different growth models, applied to data from different species such as: Dasyatis americana, Carcharhinus acronotus, Carcharhinus plumbeus, Heterodontus portusjacksoni, Malacoraja senta, Mustelus asterias and Mustelus mustelus. We suggest the use of AIC to select the best growth model in elasmobranchs studies.
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