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Fisheries Research
Article . 2003 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Analysis of catch per unit effort by multivariate analysis and generalised linear models for deep-water crustacean fisheries off Barcelona (NW Mediterranean)

Authors: Maynou, Francesc; Demestre, Montserrat; Sánchez, Pilar;

Analysis of catch per unit effort by multivariate analysis and generalised linear models for deep-water crustacean fisheries off Barcelona (NW Mediterranean)

Abstract

The fishing tactics used to catch the two most valuable decapod species of the Catalan fisheries (Aristeus antennatus and Nephrops norvegicus) were analysed using multivariate statistics. For each fishing tactic, a monthly series of catch per unit effort (CPUE) was obtained. The technical specifications (gross tonnage (GT), engine power (HP) and length (m)) of the vessels participating in the fishery were also investigated. Generalised linear models (GLMs) were employed to analyse the relationship between the independent variables such as year, month, GT, HP and length with the CPUE of each species. The results showed that the models fitted to the A. antennatus data series could explain up to 52.4% of the deviance and that HP and length were important variables in the model, in addition to seasonal and interannual effects. On the other hand, none of the models fitted to the N. norvegicus data series could explain more than 13% of the deviance. These results allow a comparison to be made between the application of GLMs to a fishery with well-defined target species (A. antennatus) and a fishery where the species analysed (N. norvegicus) is only a valuable by-catch

We are indebted to the Fishermen’s Association of Barcelona for facilitating access to their sales database. We also thank two anonymous referees who helped to improve the original manuscript

13 pages, 5 figures, 3 tables

Peer reviewed

Keywords

Nephrops norvegicus, Deep-water fisheries, Aristeus antennatus, Catch rates, Generalised linear models

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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