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| Format: | Artículo científico |
| Language: | en |
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Universidad Autónoma de Baja California
2014
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| Online Access: | https://www.redalyc.org/articulo.oa?id=48031366005 |
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Table of Contents:
- Modeling the individual growth of the Gulf corvina, Cynoscion othonopterus (Pisces: Sciaenidae), using a multi-model approach E. Alberto Aragón-Noriega Ciencias de la Tierra multi growth model inference Cynoscion othonopterus Upper Gulf of California The Gulf corvina, Cynoscion othonopterus , is an endemic sciaenid of the Upper Gulf of California and Colorado River Delta biosphere reserve. It is a high-va lue fishery resource in this region. To sustaina bly manage this resource , it is necessary to address its individual growth pattern. Previous studies on C. othonopterus growth have fitted the von Bertalanffy growth model (VBGM) without examining alternative models. In this study, the main objective was to an alyze the individual growth of th e Gulf corvina via a multi-mode l inference (MMI) approach rather than simply a pplying the VBGM. Five grow th models—VBGM, logistic , Gompertz, Schnute, and Schnute–Richards—were tested. The parameters of each model and their confidence inte rvals (CI) were comput ed using the maximum- likelihood method. The MMI was used to average the asymptotic length ( L ∞ ). The best-fitting mode l was selected using the Akaike information criterion, and the Schnute–Richards growth model best described the gr owth of the Gulf corvina. The L ∞ values obtained via MMI averaged 735.0 mm (95% CI: 730.4–739.5 mm). Th e conclusion is that the growth of C . othonopterus exhibits a biphasi c pattern that is better described by a higher-parameter model such as the Schnute–Richards model. 2014 artículo científico 0185-3880 https://www.redalyc.org/articulo.oa?id=48031366005 en http://www.redalyc.org/revista.oa?id=480 Ciencias Marinas application/pdf Universidad Autónoma de Baja California Ciencias Marinas (México) Num.2 Vol.40