ANALYSIS OF UNCERTAINTY IN THE STANDARIZATION OF CPUE INDEXES

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untranslatedPóster SIMERPE. Analysis of uncertainty in the standarization of CPUE indices (402.9Kb)
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URI: http://hdl.handle.net/10508/12442
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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); Sampedro-Pastor, P. (Paz)
Date
2021-09
Type
conference poster
Keywords
CPUE
glm
gam
Geostatistical Models
Simulation
BAYESIAN METHODOLOGY
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.