The Potential of Big Data for Improving Pelagic Fisheries Sustainability

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...

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Bibliographic Details
Main Authors: Reite, Karl-Johan, Fernandes, Jose A., Uriondo, Zigor, Quincoces, Iñaki
Other Authors: Horizon 2020 Framework Programme
Format: Book Part
Language:unknown
Published: Springer International Publishing 2021
Subjects:
Indian
North Atlantic
Online Access:http://dx.doi.org/10.1007/978-3-030-71069-9_28
https://link.springer.com/content/pdf/10.1007/978-3-030-71069-9_28
Description
Summary: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.

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