TY - JOUR
T1 - Multi-model inference for growth parameter estimation of the Bigeye Croaker Micropogonias megalops in the Upper Gulf of California
AU - Aragón-Noriega, Alberto A.
AU - Alcántara-Razo, Edgar
AU - Valenzuela-Quiñónez, Wenceslao
AU - Rodríguez-Quiroz, Gerardo
N1 - Publisher Copyright:
© 2015, Universidad de Valparaiso. All rights reserved.
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
KW - Akaike information theory
KW - Growth
KW - Micropogonias megalops
KW - Multi-Model inference
KW - Upper Gulf of California
KW - Von Bertalanffy
UR - http://www.scopus.com/inward/record.url?scp=84925879121&partnerID=8YFLogxK
U2 - 10.4067/S0718-19572015000100003
DO - 10.4067/S0718-19572015000100003
M3 - Artículo
SN - 0717-3326
VL - 50
SP - 25
EP - 38
JO - Revista de Biologia Marina y Oceanografia
JF - Revista de Biologia Marina y Oceanografia
IS - 1
ER -