Identifying partners at sea on contrasting fisheries around the world
Here we present an approach to identify partners at sea based on fishing track analysis, and describe this behaviour in six different fleets: 1) pelagic pair trawlers, 2) large bottom otter trawlers, 3) small bottom otter trawlers, 4) mid-water otter trawlers, all operating in the North-East Atlanti...
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ftdatacite:10.48550/arxiv.2009.02601 2023-05-15T17:38:29+02:00 Identifying partners at sea on contrasting fisheries around the world Joo, Rocío Bez, Nicolas Etienne, Marie-Pierre Marin, Pablo Goascoz, Nicolas Roux, Jérôme Mahévas, Stéphanie 2020 https://dx.doi.org/10.48550/arxiv.2009.02601 https://arxiv.org/abs/2009.02601 unknown arXiv arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ Applications stat.AP FOS Computer and information sciences Article CreativeWork article Preprint 2020 ftdatacite https://doi.org/10.48550/arxiv.2009.02601 2022-03-10T15:01:56Z Here we present an approach to identify partners at sea based on fishing track analysis, and describe this behaviour in six different fleets: 1) pelagic pair trawlers, 2) large bottom otter trawlers, 3) small bottom otter trawlers, 4) mid-water otter trawlers, all operating in the North-East Atlantic Ocean, 5) anchovy purse-seiners in the South-East Pacific Ocean, and 6) tuna purse-seiners in the Western Indian Ocean. This type of behaviour is known to exist within pelagic pair trawlers. Since these vessels need to be in pairs for their fishing operations, in practice some of them decide to move together throughout their whole fishing trips, and others for only a segment of their trips. To identify partners at sea, we used a heuristic approach based on joint-movement metrics and Gaussian mixture models. The models were first fitted on the pelagic pair trawlers and then used on the other fleets. From all of these fisheries, only the tuna purse-seiners did not present partners at sea. We then analysed the connections at the scale of vessels and identified exclusive partners. This work shows that there are collective tactics at least at a pairwise level in diverse fisheries in the world. : 18 pages; 6 figures; 4 tables Article in Journal/Newspaper North East Atlantic DataCite Metadata Store (German National Library of Science and Technology) Indian Pacific |
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DataCite Metadata Store (German National Library of Science and Technology) |
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Applications stat.AP FOS Computer and information sciences |
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Applications stat.AP FOS Computer and information sciences Joo, Rocío Bez, Nicolas Etienne, Marie-Pierre Marin, Pablo Goascoz, Nicolas Roux, Jérôme Mahévas, Stéphanie Identifying partners at sea on contrasting fisheries around the world |
topic_facet |
Applications stat.AP FOS Computer and information sciences |
description |
Here we present an approach to identify partners at sea based on fishing track analysis, and describe this behaviour in six different fleets: 1) pelagic pair trawlers, 2) large bottom otter trawlers, 3) small bottom otter trawlers, 4) mid-water otter trawlers, all operating in the North-East Atlantic Ocean, 5) anchovy purse-seiners in the South-East Pacific Ocean, and 6) tuna purse-seiners in the Western Indian Ocean. This type of behaviour is known to exist within pelagic pair trawlers. Since these vessels need to be in pairs for their fishing operations, in practice some of them decide to move together throughout their whole fishing trips, and others for only a segment of their trips. To identify partners at sea, we used a heuristic approach based on joint-movement metrics and Gaussian mixture models. The models were first fitted on the pelagic pair trawlers and then used on the other fleets. From all of these fisheries, only the tuna purse-seiners did not present partners at sea. We then analysed the connections at the scale of vessels and identified exclusive partners. This work shows that there are collective tactics at least at a pairwise level in diverse fisheries in the world. : 18 pages; 6 figures; 4 tables |
format |
Article in Journal/Newspaper |
author |
Joo, Rocío Bez, Nicolas Etienne, Marie-Pierre Marin, Pablo Goascoz, Nicolas Roux, Jérôme Mahévas, Stéphanie |
author_facet |
Joo, Rocío Bez, Nicolas Etienne, Marie-Pierre Marin, Pablo Goascoz, Nicolas Roux, Jérôme Mahévas, Stéphanie |
author_sort |
Joo, Rocío |
title |
Identifying partners at sea on contrasting fisheries around the world |
title_short |
Identifying partners at sea on contrasting fisheries around the world |
title_full |
Identifying partners at sea on contrasting fisheries around the world |
title_fullStr |
Identifying partners at sea on contrasting fisheries around the world |
title_full_unstemmed |
Identifying partners at sea on contrasting fisheries around the world |
title_sort |
identifying partners at sea on contrasting fisheries around the world |
publisher |
arXiv |
publishDate |
2020 |
url |
https://dx.doi.org/10.48550/arxiv.2009.02601 https://arxiv.org/abs/2009.02601 |
geographic |
Indian Pacific |
geographic_facet |
Indian Pacific |
genre |
North East Atlantic |
genre_facet |
North East Atlantic |
op_rights |
arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ |
op_doi |
https://doi.org/10.48550/arxiv.2009.02601 |
_version_ |
1766138941141942272 |