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Title

New High-Tech Flexible Networks for the Monitoring of Deep-Sea Ecosystems

AuthorsAguzzi, Jacopo CSIC ORCID ; Chatzievangelou, Damianos; Marini, Simone; Fanelli, Emanuela CSIC ORCID; Danovaro, Roberto; Flögel, Sascha; Lebris, Nadine; de Leo, Fabio; Río, Joaquín del; Thomsen, Laurenz; Costa, Corrado; Riccobene, Giorgio; Tamburini, Cristian; Lefevre, Dominique; Gojak, Carl; Poulain, Pierre-Marie; Favali, Paolo; Griffa, Annalisa; Purser, Autun; Cline, Danelle; Edgington, Duane; Navarro, Joan CSIC ORCID ; Stefanni, Sergio; D’Hondt, Steve; Priede, Imants G.; Rountree, R.A.; Company, Joan B. CSIC ORCID
Issue DateMay-2019
PublisherAmerican Chemical Society
CitationEnvironmental Science and Technology 53(12): 6616-6631 (2019)
AbstractIncreasing interest in the acquisition of biotic and abiotic resources from within the deep sea (e.g., fisheries, oil–gas extraction, and mining) urgently imposes the development of novel monitoring technologies, beyond the traditional vessel-assisted, time-consuming, high-cost sampling surveys. The implementation of permanent networks of seabed and water-column-cabled (fixed) and docked mobile platforms is presently enforced, to cooperatively measure biological features and environmental (physicochemical) parameters. Video and acoustic (i.e., optoacoustic) imaging are becoming central approaches for studying benthic fauna (e.g., quantifying species presence, behavior, and trophic interactions) in a remote, continuous, and prolonged fashion. Imaging is also being complemented by in situ environmental-DNA sequencing technologies, allowing the traceability of a wide range of organisms (including prokaryotes) beyond the reach of optoacoustic tools. Here, we describe the different fixed and mobile platforms of those benthic and pelagic monitoring networks, proposing at the same time an innovative roadmap for the automated computing of hierarchical ecological information on deep-sea ecosystems (i.e., from single species’ abundance and life traits to community composition, and overall biodiversity)
Description16 pages, 4 figures, 2 tables
Publisher version (URL)https://dx.doi.org/10.1021/acs.est.9b00409
URIhttp://hdl.handle.net/10261/185821
DOI10.1021/acs.est.9b00409
Identifiersdoi: 10.1021/acs.est.9b00409
issn: 0013-936X
e-issn: 1520-5851
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