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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Autores principales:	Aragón-Noriega,E. Alberto, Alcántara-Razo,Edgar, Valenzuela-Quiñónez,Wenceslao, Rodríguez-Quiroz,Gerardo
Lenguaje:	English
Publicado:	Universidad de Valparaíso. Facultad de Ciencias del Mar 2015
Materias:	Growth Multi-Model inference Akaike information theory Upper Gulf of California Micropogonias megalops von Bertalanffy
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-19572015000100003
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spelling	oai:scielo:S0718-195720150001000032015-08-11Multi-model inference for growth parameter estimation of the Bigeye Croaker Micropogonias megalops in the Upper Gulf of CaliforniaAragón-Noriega,E. AlbertoAlcántara-Razo,EdgarValenzuela-Quiñónez,WenceslaoRodríguez-Quiroz,Gerardo Growth Multi-Model inference Akaike information theory Upper Gulf of California Micropogonias megalops von Bertalanffy 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). According to AIC, the VBGM model fit best the data. The parameter estimated and CI were: 1) mean asymptotic length (L∞) in males 429 mm total length TL (CI 426-432 mm TL) and in females 461 mm TL (CI 457-464 mm TL); 2) the growth coefficient (k) in males 0.419 (CI 0.412-0.426) and in females 0.377 (CI 0.370-0.384). In conclusion, the VBGM adequately described the individual mean growth for M. megalops in the UGC.info:eu-repo/semantics/openAccessUniversidad de Valparaíso. Facultad de Ciencias del MarRevista de biología marina y oceanografía v.50 n.1 20152015-04-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-19572015000100003en10.4067/S0718-19572015000100003
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Growth Multi-Model inference Akaike information theory Upper Gulf of California Micropogonias megalops von Bertalanffy
spellingShingle	Growth Multi-Model inference Akaike information theory Upper Gulf of California Micropogonias megalops von Bertalanffy Aragón-Noriega,E. Alberto Alcántara-Razo,Edgar Valenzuela-Quiñónez,Wenceslao Rodríguez-Quiroz,Gerardo Multi-model inference for growth parameter estimation of the Bigeye Croaker Micropogonias megalops in the Upper Gulf of California
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). According to AIC, the VBGM model fit best the data. The parameter estimated and CI were: 1) mean asymptotic length (L∞) in males 429 mm total length TL (CI 426-432 mm TL) and in females 461 mm TL (CI 457-464 mm TL); 2) the growth coefficient (k) in males 0.419 (CI 0.412-0.426) and in females 0.377 (CI 0.370-0.384). In conclusion, the VBGM adequately described the individual mean growth for M. megalops in the UGC.
author	Aragón-Noriega,E. Alberto Alcántara-Razo,Edgar Valenzuela-Quiñónez,Wenceslao Rodríguez-Quiroz,Gerardo
author_facet	Aragón-Noriega,E. Alberto Alcántara-Razo,Edgar Valenzuela-Quiñónez,Wenceslao Rodríguez-Quiroz,Gerardo
author_sort	Aragón-Noriega,E. Alberto
title	Multi-model inference for growth parameter estimation of the Bigeye Croaker Micropogonias megalops in the Upper Gulf of California
title_short	Multi-model inference for growth parameter estimation of the Bigeye Croaker Micropogonias megalops in the Upper Gulf of California
title_full	Multi-model inference for growth parameter estimation of the Bigeye Croaker Micropogonias megalops in the Upper Gulf of California
title_fullStr	Multi-model inference for growth parameter estimation of the Bigeye Croaker Micropogonias megalops in the Upper Gulf of California
title_full_unstemmed	Multi-model inference for growth parameter estimation of the Bigeye Croaker Micropogonias megalops in the Upper Gulf of California
title_sort	multi-model inference for growth parameter estimation of the bigeye croaker micropogonias megalops in the upper gulf of california
publisher	Universidad de Valparaíso. Facultad de Ciencias del Mar
publishDate	2015
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-19572015000100003
work_keys_str_mv	AT aragonnoriegaealberto multimodelinferenceforgrowthparameterestimationofthebigeyecroakermicropogoniasmegalopsintheuppergulfofcalifornia AT alcantararazoedgar multimodelinferenceforgrowthparameterestimationofthebigeyecroakermicropogoniasmegalopsintheuppergulfofcalifornia AT valenzuelaquinonezwenceslao multimodelinferenceforgrowthparameterestimationofthebigeyecroakermicropogoniasmegalopsintheuppergulfofcalifornia AT rodriguezquirozgerardo multimodelinferenceforgrowthparameterestimationofthebigeyecroakermicropogoniasmegalopsintheuppergulfofcalifornia
_version_	1714202344434958336

Multi-model inference for growth parameter estimation of the Bigeye Croaker Micropogonias megalops in the Upper Gulf of California

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