The potential of video imagery from worldwide cabled observatory networks to provide information supporting fish-stock and biodiversity assessment

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dc.contributor.authorAguzzi, Jacopo
dc.contributor.authorChatzvievangelou, Damianos
dc.contributor.authorCompany, J. B.
dc.contributor.authorThomsen, L.
dc.contributor.authorMarini, S.
dc.contributor.authorBonofiglio, F.
dc.contributor.authorJuanes, Francis
dc.contributor.authorRountree, Rodney
dc.contributor.authorBerry, A.
dc.contributor.authorChumbinho, Rogerio
dc.contributor.authorLordan, Colm
dc.contributor.authorDoyle, J.
dc.contributor.authordel Rio, J.
dc.contributor.authorNavarro, J.
dc.contributor.authorDe Leo, F. C.
dc.contributor.authorBahamon, N.
dc.contributor.authorGarcia, J. A.
dc.contributor.authorDanovaro, P. R.
dc.contributor.authorFrancescangeli, M.
dc.contributor.authorLopez-Vazquez, V.
dc.contributor.authorGaughan, P.
dc.date.accessioned2024-03-12T15:23:15Z
dc.date.available2024-03-12T15:23:15Z
dc.date.issued2020
dc.description.abstractSeafloor multiparametric fibre-optic-cabled video observatories are emerging tools for standardized monitoring programmes, dedicated to the production of real-time fishery-independent stock assessment data. Here, we propose that a network of cabled cameras can be set up and optimized to ensure representative long-term monitoring of target commercial species and their surrounding habitats. We highlight the importance of adding the spatial dimension to fixed-point-cabled monitoring networks, and the need for close integration with Artificial Intelligence pipelines, that are necessary for fast and reliable biological data processing. We then describe two pilot studies, exemplary of using video imagery and environmental monitoring to derive robust data as a foundation for future ecosystem-based fish-stock and biodiversity management. The first example is from the NE Pacific Ocean where the deep-water sablefish (Anoplopoma fimbria) has been monitored since 2010 by the NEPTUNE cabled observatory operated by Ocean Networks Canada. The second example is from the NE Atlantic Ocean where the Norway lobster (Nephrops norvegicus) is being monitored using the SmartBay observatory developed for the European Multidisciplinary Seafloor and water column Observatories. Drawing from these two examples, we provide insights into the technological challenges and future steps required to develop full-scale fishery-independent stock assessments.
dc.description.reviewstatusReviewed
dc.description.scholarlevelFaculty
dc.description.sponsorshipThis work was funded by the following project activities: ARIM (Autonomous Robotic sea-floor Infrastructure for benthopelagic Monitoring; MartTERA ERA-Net Cofound), ARCHES (Autonomous Robotic Networks to Help Modern Societies; German Helmholtz Association), RESBIO (TEC2017-87861-R; Ministerio de Ciencia, Innovación y Universidades, Spanish Government), RESNEP (CTM2017-82991-C2-1-R; Ministerio de Ciencia, Innovación y Universidades, Spanish Government), and SmartLobster (EMSO-LINK Trans National Access-TNA). The EMSO_SmartBay cabled observatory was funded by Science Foundation Ireland (SFI) as part of a SFI Research Infrastructure Award Grant No. 12/RI/2331.
dc.identifier.citationAguzzi, J., Chatzievangelou, D., Company, J. B., Thomsen, L., Marini, S., Bonofiglio, F., Juanes, F., Rountree, R., Berry, A., Chumbinho, R., Lordan, C., Doyle, J., del Rio, J., Navarro, J., De Leo, F. C., Bahamon, N., García, J. A., Danovaro, P. R., Francescangeli, M., … Gaughan, P. (2020). The potential of video imagery from worldwide cabled observatory networks to provide information supporting fish-stock and biodiversity assessment. ICES Journal of Marine Science, 77(7–8), 2396–2410. https://doi.org/10.1093/icesjms/fsaa169
dc.identifier.urihttps://doi.org/10.1093/icesjms/fsaa169
dc.identifier.urihttps://hdl.handle.net/1828/16059
dc.language.isoen
dc.publisherICES Journal of Marine Science
dc.rightsAttribution 4.0 Internationalen
dc.subjectOcean Networks Canada
dc.subject.departmentDepartment of Biology
dc.titleThe potential of video imagery from worldwide cabled observatory networks to provide information supporting fish-stock and biodiversity assessment
dc.typeArticle

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