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Fishing Vessel Ocean Observing Network: An Emerging Collaborative Global Network

datacite.subject.fosCiências Naturais
datacite.subject.sdg14:Proteger a Vida Marinha
dc.contributor.authorPiecho-Santos, Antonio Miguel
dc.contributor.authorCusack, Christopher
dc.contributor.authorGorringe, Patrick
dc.contributor.authorHirose , Naoki
dc.contributor.authorJakoboski, Julie
dc.contributor.authorMartinelli, Michela
dc.contributor.authorMaynard, eorge
dc.contributor.authorMcComb, Peter
dc.contributor.authorMoustahfid, Hassan
dc.contributor.authorCastro Muniain, Carles
dc.contributor.authorRoughan, Moninya
dc.contributor.authorSouza, João de
dc.contributor.authorVranken, Cooper Van
dc.contributor.editorZ. Zhang et al.
dc.date.accessioned2026-01-12T13:48:04Z
dc.date.available2026-01-12T13:48:04Z
dc.date.issued2025-08-30
dc.description.abstractFishing vessels and fishing gear offer a wide array of data collection opportunities, including surface meteorological and oceanographic observations, as well as subsurface measurements. Sensors going along for the ride on nets and traps to gather subsurface data presents a unique opportunity compared to other oceanographic platforms. Fishing vessels collecting ocean data is an inclusive way to complement existing observing networks by enabling the cost-effective collection of vast amounts of ocean information in data-sparse regions. The Fishing Vessel Ocean Observing Network (FVON; https://fvon.org/) aims to maximize data value by establishing community-wide standards for data, metadata, and best practices, while also facilitating observation uptake. FVON seeks to become a GOOS Coastal, Shelf and Boundary Network serving as a global complement to the Argo Program. Its objectives are to foster collaborative fishing vessel-based observations, democratize ocean data collection, improve ocean predictions and forecasts, promote sustainable fishing practices, and power a data-driven blue economy.eng
dc.description.sponsorshipProjects UIDB/04326/2020, UIDP/04326/ 2020 and LA/P/0101/2020 funded by FCT
dc.identifier.citationESA Applications. https://www.esa.int/ESA_Multimedia/Images/2015/ 01/Surface_ocean_pH. Accessed 22 Sept 2023 Aydo˘gdu A, Pinardi N, Pistoia J, Martinelli M, Belardinelli A, Sparnocchia S (2016) Assimilation experiments for the fishery observing system in the Adriatic Sea. J Mar Syst 162:126–136 Chierici M, Fransson A, Anderson LG (1999) Influence of m-cresol purple indicator additions on the pH of seawater samples: correction factors evaluated from a chemical speciation model. Mar Chem 65(3– 4):281–290 Manning J, Pelletier E (2009) Environmental monitors on lobster traps (eMOLT): long-term observations of New England’s bottom-water temperatures. J Operat Oceanogr 2(1):25–33 Patti B, Martinelli M, Aronica S, Belardinelli A, Penna P, Bonanno A, Basilone G, Fontana I, Giacalone G, Gallì NG, Sorgente R, Angileri IVM, Croci C, Domenichetti F, Bonura D, Santojanni A, Sparnocchia S, D’Adamo R, Marini M, Fiorentino F, Mazzola S (2016) The fishery and oceanography observing system (FOOS): a tool for oceanography and fisheries science. J Operat Oceanogr 9(1):s99–s118 Penna P, Domenichetti F, Belardinelli A, Martinelli M (2023) Dataset of depth and temperature profiles obtained from 2012 to 2020 using commercial fishing vessels of the AdriFOOS fleet in the Adriatic Sea. Earth Syst Sci Data 15:3513–3527
dc.identifier.issn2183-2900
dc.identifier.urihttp://hdl.handle.net/10400.26/60855
dc.language.isoeng
dc.peerreviewedn/a
dc.publisherZ. Zhang et al. (eds.)
dc.relationProjects UIDB/04326/2020, UIDP/04326/ 2020 and LA/P/0101/2020
dc.relation.hasversionhttps://doi.org/10.1007/978-3-031-86777-4_18
dc.rights.uriN/A
dc.titleFishing Vessel Ocean Observing Network: An Emerging Collaborative Global Networkpor
dc.typetext
dspace.entity.typePublication
oaire.citation.endPage102
oaire.citation.startPage97
oaire.citation.titleAdvances in Science, Technology & Innovation
oaire.versionhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43

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