Identification of metiers of the Northern Spanish coastal bottom pair trawl fleet by using the partitioning method CLARA

Jose Castro, Antonio Punzon, Graham John Pierce, Manuel Marin, Esther Abad

Research output: Contribution to journalArticle

21 Citations (Scopus)

Abstract

Cluster analyses of catch profiles by fishing day and trip (1986-2007) are used to identify metiers in the Northern Spanish coastal bottom pair trawl fleet (PTB) operating in ICES Divisions VIIIc and IXa North. The method CLARA (Clustering Large Applications) was chosen to analyze these databases because it is a partitioning technique specifically designed to manage very large data sets. The results obtained allow us to identify two metiers, which are in concordance with knowledge of the fishery, one targeting blue whiting and hake (PTB1), and another targeting mackerel (PTB2). PTB2 shows a seasonal pattern related to the reproductive cycle of mackerel off the Cantabrian coast in the Bay of Biscay. The CLARA method is shown to be useful tool for analyzing this type of large data set, although the coverage level of its sampling algorithm must be taken into account. (C) 2009 Elsevier B.V. All rights reserved.

Original languageEnglish
Pages (from-to)184-190
Number of pages7
JournalFisheries Research
Volume102
Issue number1-2
Early online date3 Dec 2009
DOIs
Publication statusPublished - Feb 2010

Keywords

  • Spanish fleet
  • Bottom pair trawl
  • Metier
  • Multivariate analysis
  • CLARA
  • Cluster-analysis
  • Fishery
  • Mackerel
  • Métier

Cite this

Identification of metiers of the Northern Spanish coastal bottom pair trawl fleet by using the partitioning method CLARA. / Castro, Jose; Punzon, Antonio; Pierce, Graham John; Marin, Manuel; Abad, Esther.

In: Fisheries Research, Vol. 102, No. 1-2, 02.2010, p. 184-190.

Research output: Contribution to journalArticle

Castro, Jose ; Punzon, Antonio ; Pierce, Graham John ; Marin, Manuel ; Abad, Esther. / Identification of metiers of the Northern Spanish coastal bottom pair trawl fleet by using the partitioning method CLARA. In: Fisheries Research. 2010 ; Vol. 102, No. 1-2. pp. 184-190.
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