Multi-model inference for growth parameter estimation of the Bigeye Croaker Micropogonias megalops in the Upper Gulf of California
Bigeye Croaker (Micropogonias megalops) is caught in the Upper Gulf of California (UGC) by local community fishermen from San Felipe in Baja California, Golfo de Santa Clara and Puerto Peñasco in Sonora, Mexico. For the sustainable management of this fishery, it is necessary to understand its growth...
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| Veröffentlicht in: | Revista de biología marina y oceanografía 2015-04, Vol.50 (1), p.25-38 |
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| creator | Aragón-Noriega, E. Alberto Alcántara-Razo, Edgar Valenzuela-Quiñónez, Wenceslao Rodríguez-Quiroz, Gerardo |
| description | Bigeye Croaker (Micropogonias megalops) is caught in the Upper Gulf of California (UGC) by local community fishermen from San Felipe in Baja California, Golfo de Santa Clara and Puerto Peñasco in Sonora, Mexico. For the sustainable management of this fishery, it is necessary to understand its growth cycle. We modeled the individual growth of M. megalops from the UGC using 4 growth models: von Bertalanffy growth model (VBGM), Logistic, Gompertz and Schnute. The parameters of each model and their confidence intervals (CI) were computed using the maximum-likelihood method. The best-fit model was selected using Akaike´s information criterion (AIC). |
| doi_str_mv | 10.4067/S0718-19572015000100003 |
| format | Article |
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Alberto ; Alcántara-Razo, Edgar ; Valenzuela-Quiñónez, Wenceslao ; Rodríguez-Quiroz, Gerardo</creator><creatorcontrib>Aragón-Noriega, E. Alberto ; Alcántara-Razo, Edgar ; Valenzuela-Quiñónez, Wenceslao ; Rodríguez-Quiroz, Gerardo</creatorcontrib><description>Bigeye Croaker (Micropogonias megalops) is caught in the Upper Gulf of California (UGC) by local community fishermen from San Felipe in Baja California, Golfo de Santa Clara and Puerto Peñasco in Sonora, Mexico. For the sustainable management of this fishery, it is necessary to understand its growth cycle. We modeled the individual growth of M. megalops from the UGC using 4 growth models: von Bertalanffy growth model (VBGM), Logistic, Gompertz and Schnute. The parameters of each model and their confidence intervals (CI) were computed using the maximum-likelihood method. The best-fit model was selected using Akaike´s information criterion (AIC).</description><identifier>ISSN: 0718-1957</identifier><identifier>ISSN: 0717-3326</identifier><identifier>EISSN: 0718-1957</identifier><identifier>DOI: 10.4067/S0718-19572015000100003</identifier><language>eng</language><publisher>Vina del Mar</publisher><subject>Age determination ; Akaike information theory ; Alto Golfo de California ; Crecimiento ; Growth ; Growth rate ; Marine ; Micropogonias megalops ; Model inference ; modelos múltiples ; Multi ; teoría de información de Akaike ; Upper Gulf of California ; von Bertalanffy</subject><ispartof>Revista de biología marina y oceanografía, 2015-04, Vol.50 (1), p.25-38</ispartof><rights>Copyright 2015</rights><rights>LICENCIA DE USO: Los documentos a texto completo incluidos en Dialnet son de acceso libre y propiedad de sus autores y/o editores. 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| subjects | Age determination Akaike information theory Alto Golfo de California Crecimiento Growth Growth rate Marine Micropogonias megalops Model inference modelos múltiples Multi teoría de información de Akaike Upper Gulf of California von Bertalanffy |
| title | Multi-model inference for growth parameter estimation of the Bigeye Croaker Micropogonias megalops in the Upper Gulf of California |
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