The Potential of Big Data for Improving Pelagic Fisheries Sustainability

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...

Full description

Bibliographic Details
Main Authors: Reite, Karl Johan, Fernandes, Jose Antonio, Uriondo, Zigor, Quincoces, Inaki
Format: Book Part
Language:English
Published: Springer 2021
Subjects:
Indian
North Atlantic
Online Access:https://hdl.handle.net/11250/2987147
id ftsintef:oai:sintef.brage.unit.no:11250/2987147
record_format openpolar
spelling ftsintef:oai:sintef.brage.unit.no:11250/2987147 2023-05-15T17:30:27+02:00 The Potential of Big Data for Improving Pelagic Fisheries Sustainability Reite, Karl Johan Fernandes, Jose Antonio Uriondo, Zigor Quincoces, Inaki 2021 application/pdf https://hdl.handle.net/11250/2987147 eng eng Springer Big Data in Bioeconomy: Results from the European DataBio Project Big Data in Bioeconomy © 2021 urn:isbn:978-3-030-71068-2 https://hdl.handle.net/11250/2987147 cristin:1936913 Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no © The Editor(s) (if applicable) and The Author(s) 2021, corrected publication 2021. This book is an open access publication. CC-BY 371-376 Chapter Peer reviewed 2021 ftsintef 2022-03-30T22:40:17Z 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. publishedVersion Book Part North Atlantic SINTEF Open (Brage) Indian
institution Open Polar
collection SINTEF Open (Brage)
op_collection_id ftsintef
language English
description 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. publishedVersion
format Book Part
author Reite, Karl Johan
Fernandes, Jose Antonio
Uriondo, Zigor
Quincoces, Inaki
spellingShingle Reite, Karl Johan
Fernandes, Jose Antonio
Uriondo, Zigor
Quincoces, Inaki
The Potential of Big Data for Improving Pelagic Fisheries Sustainability
author_facet Reite, Karl Johan
Fernandes, Jose Antonio
Uriondo, Zigor
Quincoces, Inaki
author_sort Reite, Karl Johan
title The Potential of Big Data for Improving Pelagic Fisheries Sustainability
title_short The Potential of Big Data for Improving Pelagic Fisheries Sustainability
title_full The Potential of Big Data for Improving Pelagic Fisheries Sustainability
title_fullStr The Potential of Big Data for Improving Pelagic Fisheries Sustainability
title_full_unstemmed The Potential of Big Data for Improving Pelagic Fisheries Sustainability
title_sort potential of big data for improving pelagic fisheries sustainability
publisher Springer
publishDate 2021
url https://hdl.handle.net/11250/2987147
geographic Indian
geographic_facet Indian
genre North Atlantic
genre_facet North Atlantic
op_source 371-376
op_relation Big Data in Bioeconomy: Results from the European DataBio Project
Big Data in Bioeconomy © 2021
urn:isbn:978-3-030-71068-2
https://hdl.handle.net/11250/2987147
cristin:1936913
op_rights Navngivelse 4.0 Internasjonal
http://creativecommons.org/licenses/by/4.0/deed.no
© The Editor(s) (if applicable) and The Author(s) 2021, corrected publication 2021. This book is an open access publication.
op_rightsnorm CC-BY
_version_ 1766126932304330752

Similar Items