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Is speed through water a better proxy for fishing activities than speed over ground?

Authors :
Youen Vermard
Pierre Gloaguen
Etienne Rivot
Mathieu Woillez
Stéphanie Mahévas
Écologie et Modèles pour l'Halieutique (IFREMER EMH)
Institut Français de Recherche pour l'Exploitation de la Mer - Atlantique (IFREMER Atlantique)
Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)
Mathématiques et Informatique Appliquées (MIA-Paris)
AgroParisTech-Institut National de la Recherche Agronomique (INRA)
Sciences et Technologies Halieutiques
Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)
Écologie et santé des écosystèmes (ESE)
Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST
Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)
Écologie et Modèles pour l'halieutique (EMH)
Institut National de la Recherche Agronomique (INRA)-AgroParisTech
Gloaguen, Pierre
Source :
Aquatic Living Resources, Aquatic Living Resources, EDP Sciences, 2016, 29 (2), pp.1-8. ⟨10.1051/alr/2016023⟩, Aquatic Living Resources (0990-7440) (Edp Sciences S A), 2016-04, Vol. 29, N. 2, P. 210(1-8), Aquatic Living Resources 2 (29), 1-8. (2016)
Publication Year :
2016
Publisher :
HAL CCSD, 2016.

Abstract

Understanding fishing vessel dynamics at a fine spatial scale is of great interest for defining appropriate spatial management plans. Different models have been developed to detect fishing activity from Vessel Monitoring System (VMS) data. While mathematical and statistical methods differ, all rely on the idea that vessel speed over ground provides information on fishing vessel activity. However, trawling with constant speed relative to the water mass may as well prove a winning strategy for both technical (to ensure sufficient trawl opening) and biological (to limit escapement of fish) reasons. Therefore, considering speed through water instead of speed over ground might provide insights into fishing activities. We developed a method combining surface currents derived from ocean circulation models with VMS data to estimate vessel speed through water. We then used vessel speed through water as input to two previously published segmentation methods to infer fishing activity during a fishing trip. We illustrate the approach by analysing trajectories of trawlers operating in the Eastern English Channel. All vessels were equipped with VMS and part of the Obsmer national discard sampling programme. Overall, results showed that surface currents influenced fishing behaviour, and trawling preferentially occured parallel to surface currents. Speed over ground associated with trawling behaviour was much more variable than speed through water, suggesting that trawling occured at constant engine regimes. However, for both segmentation methods using speed through water instead of speed over ground did not improve our capacity to identify trawling sequences. In both cases the amount of time spent trawling during a trip was overestimated.

Details

Language :
English
ISSN :
09907440 and 17652952
Database :
OpenAIRE
Journal :
Aquatic Living Resources, Aquatic Living Resources, EDP Sciences, 2016, 29 (2), pp.1-8. ⟨10.1051/alr/2016023⟩, Aquatic Living Resources (0990-7440) (Edp Sciences S A), 2016-04, Vol. 29, N. 2, P. 210(1-8), Aquatic Living Resources 2 (29), 1-8. (2016)
Accession number :
edsair.doi.dedup.....bc3f9717e82ec6e3a3f69a999883da93
Full Text :
https://doi.org/10.1051/alr/2016023⟩