Weighted relative abundance indices obtained from generalized linear models considering null catch values
Keywords:Abundance annual index, catch per unit effort, , generalized linear model
General Linear Models (GLM) and generalized linear models (GLMs), that allow to integrate in a simple way the different factors that influence catch per unit of effort (CPUE) variation, are used to estimate annual abundance indices. The effect associated to the Year factor is considered and, based on the results obtained, the index is built. Nevertheless, when significant interactions that include said factor occur, the result is indices proportional to the mean annual abundance of each year with proportion coefficients that depend on the year, which does not allow to compare the series terms. In this paper the weighted abundance indices obtained with the GLM and GLMs are established and how to define the population mean annual density as a function of the parameters of the models used is considered. An application example with null CPUE values in patagonian smoothhound is shown and debate on the correct selection of the fleet to provide the data used to estimate annual weighted abundance indices presented.
How to Cite
Copyright (c) 2017 Daniel Hernández, Marcelo Pérez, Federico Cortés
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors of articles published in Marine and Fishery Sciences retain copyright on their articles, except for any third-party images and other materials added by Marine and Fishery Sciences, which are subject to copyright of their respective owners. Authors are therefore free to disseminate and re-publish their articles, subject to any requirements of third-party copyright owners and subject to the original publication being fully cited. Visitors may also download and forward articles subject to the citation requirements. The ability to copy, download, forward or otherwise distribute any materials is always subject to any copyright notices displayed. Copyright notices must be displayed prominently and may not be obliterated, deleted or hidden, totally or partially.
This journal offers authors an Open Access policy. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other legal purpose within the Creative Commons 4.0 license (BY-NC-SA), without asking prior permission from the publisher or the author. This is in accordance with the BOAI definition of Open Access.