The Potential of Big Data for Improving Pelagic Fisheries Sustainability
| dc.contributor.author | Reite, Karl Johan | |
| dc.contributor.author | Fernandes, Jose Antonio | |
| dc.contributor.author | Uriondo, Zigor | |
| dc.contributor.author | Quincoces, Inaki | |
| dc.date.accessioned | 2022-03-23T14:39:51Z | |
| dc.date.available | 2022-03-23T14:39:51Z | |
| dc.date.created | 2021-09-22T08:59:17Z | |
| dc.date.issued | 2021 | |
| dc.identifier.citation | Big Data in Bioeconomy © 2021 | en_US |
| dc.identifier.isbn | 978-3-030-71068-2 | |
| dc.identifier.uri | https://hdl.handle.net/11250/2987147 | |
| dc.description.abstract | The use of big data methods and tools are expected to have a profound effect on the pelagic fisheries sustainability and value creation. The potential impact on fuel consumption, planning and fish stock assessments is demonstrated in six different pilot cases. These cases cover the Spanish tropical tuna fisheries in Indian Ocean and the Norwegian small pelagic fisheries in the North Atlantic Ocean. The areas encompassed by these pilots have an annual capture production above 13 million tonnes. | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Springer | en_US |
| dc.relation.ispartof | Big Data in Bioeconomy: Results from the European DataBio Project | |
| dc.rights | Navngivelse 4.0 Internasjonal | * |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
| dc.title | The Potential of Big Data for Improving Pelagic Fisheries Sustainability | en_US |
| dc.type | Chapter | en_US |
| dc.type | Peer reviewed | en_US |
| dc.description.version | publishedVersion | en_US |
| dc.rights.holder | © The Editor(s) (if applicable) and The Author(s) 2021, corrected publication 2021. This book is an open access publication. | en_US |
| dc.source.pagenumber | 371-376 | en_US |
| dc.identifier.cristin | 1936913 | |
| cristin.ispublished | true | |
| cristin.fulltext | original | |
| cristin.qualitycode | 1 |
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