Résumé
International interest in the protection and sustainable use of high seas biodiversity has grown in recent years. There is an opportunity for new technologies to enable improvements in management of these areas beyond national jurisdiction. We explore the spatial ecology and drivers of the global distribution of the high seas longline fishing fleet by creating predictive models of the distribution of fishing effort from newly available automatic identification system (AIS) data. Our results show how longline fishing effort can be predicted using environmental variables, many related to the expected distribution of the species targeted by longliners. We also find that the longline fleet has seasonal environmental preferences (for example, increased importance of cooler surface waters during boreal summer) and may only be using 38 to 64% of the available environmentally suitable fishing habitat. Possible explanations include misclassification of fishing effort, incomplete AIS coverage, or how potential range contractions of pelagic species may have reduced the abundance of fishing habitats in the open ocean.
Langue d'origine | English |
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Numéro d'article | eaat3681 |
Journal | Science advances |
Volume | 4 |
Numéro de publication | 8 |
DOI | |
Statut de publication | Published - août 8 2018 |
Note bibliographique
Funding Information:This study is a product of the Nippon Foundation Nereus Program. We thank the GFW partnership for their technical support and for providing the global fishing effort estimates that we used in this study. They were an indispensable asset to this study. We also thank Dalhousie University, in cooperation with B.W., D.P.T., and K.B., for hosting a workshop in May 2017 that helped shape some of the ideas and analyses presented here.
Publisher Copyright:
Copyright © 2018 The Authors, some rights reserved.
ASJC Scopus Subject Areas
- General
PubMed: MeSH publication types
- Journal Article
- Research Support, Non-U.S. Gov't