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Towards a global Fishing Vessel Ocean Observing Network (FVON): state of the art and future directions

dc.contributor.authorVan Vranken, Cooper
dc.contributor.authorJakoboski, Julie
dc.contributor.authorCarroll, John W.
dc.contributor.authorCusack, Christopher
dc.contributor.authorGorringe, Patrick
dc.contributor.authorHirose, Naoki
dc.contributor.authorManning, James
dc.contributor.authorMartinelli, Michela
dc.contributor.authorPenna, Pierluigi
dc.contributor.authorPickering, Mathew
dc.contributor.authorSantos, A. Miguel P.
dc.contributor.authorRoughan, Moninya
dc.contributor.authorde Souza, João
dc.contributor.authorMoustahfid, Hassan
dc.date.accessioned2023-10-11T14:21:19Z
dc.date.available2023-10-11T14:21:19Z
dc.date.issued2023-08
dc.description.abstractOcean observations are the foundation of our understanding of ocean processes. Improving these observations has critical implications for our ability to sustainably derive food from the ocean, predict extreme weather events that take a toll on human life, and produce the goods and services that are needed to meet the needs of a vast and growing population. While there have been great leaps forward in sustained operational monitoring of our oceans there are still key data gaps which result in sub-optimal ocean management and policy decisions. The global fishing industry represents a vast opportunity to create a paradigm shift in how ocean data are collected: the spatio-temporal extent of ocean data gaps overlaps significantly with fishers' activities; fishing vessels are suitable platforms of opportunity to host communications and sensor equipment; and many fishing vessels effectively conduct a depth-profile through the water column in the course of normal fishing activities, representing a powerful subsurface data collection opportunity. Fishing vessel-collected ocean data can complement existing ocean observing networks by enabling the cost-effective collection of vast amounts of subsurface ocean information in data-sparse regions. There is an emerging global network of fishing vessels participating in collaborative efforts to collect oceanographic data accelerated by innovations in enabling technologies. While there are clear opportunities that arise from partnering with fishing vessels, there are also challenges ranging from geographic and cultural differences in fleets, fishing methods and practices, data processing and management for heterogeneous data, as well as long term engagement of the fishers. To advance fishing vessel-based ocean observation on a global scale, the Fishing Vessel Ocean Observing Network (FVON) aims to maximize data value, establish best practices around data collection and management, and facilitate observation uptake. FVON's ultimate goals are to foster collaborative fishing vessel-based observations, democratize ocean observation, improve ocean predictions and forecasts, promote sustainable fishing, and power a data-driven blue economy.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3389/fmars.2023.1176814pt_PT
dc.identifier.eissn2296-7745
dc.identifier.urihttp://hdl.handle.net/10400.1/20043
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherFrontiers Mediapt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectIn situ ocean observing systemspt_PT
dc.subjectCitizen sciencept_PT
dc.subjectIndustry collaborationpt_PT
dc.subjectShelf and coastal seaspt_PT
dc.subjectEssential ocean variables (EOV)pt_PT
dc.subjectPhysical oceanographypt_PT
dc.titleTowards a global Fishing Vessel Ocean Observing Network (FVON): state of the art and future directionspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleFrontiers in Marine Sciencept_PT
oaire.citation.volume10pt_PT
person.familyNameSantos
person.givenNameA. Miguel P.
person.identifier290283
person.identifier.ciencia-id541E-93D0-BFC3
person.identifier.orcid0000-0001-9401-3504
person.identifier.ridG-6030-2011
person.identifier.scopus-author-id25926746100
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication847a80b0-7a6f-4b19-baea-4514c6908f65
relation.isAuthorOfPublication.latestForDiscovery847a80b0-7a6f-4b19-baea-4514c6908f65

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