ANALYSIS OF UNCERTAINTY IN THE STANDARIZATION OF CPUE INDEXES

Authors: Cerviño, S. (Santiago); Fuster-Alonso, Alba; Cousido-Rocha, M. (Marta); Hidalgo, M. (Manuel); Otero, J. (Jaime); Soto-Ruiz, M. (María); Pennino, M.G. (María Gracia); +1 Authors

handle: 10261/326065 , 10508/12442

ANALYSIS OF UNCERTAINTY IN THE STANDARIZATION OF CPUE INDEXES

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Abstract

Catch per unit effort (CPUE) indices are considered as one of the main information sources used in fish stock assessment models (Zou et al., 2019). There are many ways for the standardization of these indices: • Generalized lineal models (GLMs) • Generalized additive models (GAMs) • Geostatistical models. To evaluate the accuracy and uncertainty associated with CPUE indices derived from datasets with different spatial information. • How? With the standardization of CPUE indices using geostatistical models in different sampling scenarios, comparing them with GLMs and GAMs models.

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Country

Spain

Related Organizations

Spanish National Research Council
Spain
Spanish Institute of Oceanography
Spain

Keywords

fish, analysis, Sede Central IEO, statistical models, BAYESIAN METHODOLOGY, gam, CPUE, catch/effort, Pesquerías, glm, stock assessment, Geostatistical Models, Simulation

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