Generalized linear Bayesian models for standardizing CPUE: an application to a squid-jigging fishery in the northwest Pacific Ocean

Jie Cao; Xinjun Chen; Yong Chen; Bilin Liu; Jin Ma; Siliang Li

doi:10.3989/scimar.2011.75n4679

Autores/as

Jie Cao College of Marine Sciences, Shanghai Ocean University
Xinjun Chen College of Marine Sciences, Shanghai Ocean University - The Key Laboratory of Shanghai Education Commission for Oceanic Fisheries Resources Exploitation - The Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education
Yong Chen School of Marine Sciences, University of Maine - The Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education
Bilin Liu College of Marine Sciences, Shanghai Ocean University - The Key Laboratory of Shanghai Education Commission for Oceanic Fisheries Resources Exploitation - The Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education
Jin Ma College of Marine Sciences, Shanghai Ocean University
Siliang Li College of Marine Sciences, Shanghai Ocean University

DOI:

https://doi.org/10.3989/scimar.2011.75n4679

Palabras clave:

modelos lineales generalizados bayesianos, estandardización CPUE, Ommastrephes bartramii, pesquería china de calamar mediante jigging, Pacífico noroccidental

Resumen

Se desarrollan modelos lineales generalizados bayesianos (GLBM) jerárquicos y no-jerárquicos para la estandardización de captura por unidad de esfuerzo (CPUE). El modelo GLBM seleccionado para la pesquería del calamar Ommastrephes bartramii mediante jigging en el Pacífico noroccidental incorporó las variables explicativas mes, latitud, temperatura superficial del mar (SST), salinidad superficial del mar (SSS) y altura del nivel del mar (SLH). La selección del modelo se basó en el Criterio de Información de la Desviación (DIC). El modelo que mejor se ajustó a los datos tiene más sentido ecológico comparado con modelos de estandardización de CPUE basado en modelos lineales generalizados y modelos aditivos generalizados. Se utilizó también el GLBM para tratar el problema de la estimación de un índice de abundancia del stock (es decir, CPUE estandardizada) frente a la elevada heterogeneidad espacial en la dinámica del esfuerzo en la pesquería del calamar mediante la predicción de la CPUE estandardizada en áreas no pescadas. La CPUE estandardizada en base a los datos que incluyen la CPUE predicha en áreas no pescadas fue inferior a la CPUE derivada en base solamente a la CPUE observada, especialmente durante el pico de pesca de Agosto a Octubre. Este estudio muestra que es más apropiado usar la CPUE estandardizada derivada de datos que incluyen al mismo tiempo la CPUE predicha de las áreas no pescadas y la CPUE observada en el área pescada como índice de abundancia del stock. Se sugiere que se use el método propuesto para la estandardización de CPUE teniendo en cuenta la gran heterogeneidad espacial del esfuerzo pesquero.

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