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

Aguzzi, Jacopo, Chatzievangelou, Damianos, Marini, Simone, Fanelli, Emanuela, Danovaro, Roberto, Flögel, Sascha, Lebris, Nadine, Juanes, Francis, De Leo, Fabio C., Del Rio, Joaquin, 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, Stefanni, Sergio, D’Hondt, Steve, Priede, Imants G., Rountree, Rodney and Company, Joan B. (2019) New High-Tech Flexible Networks for the Monitoring of Deep-Sea Ecosystems Environmental Science & Technology, 53 (12). pp. 6616-6631. DOI 10.1021/acs.est.9b00409.

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Increasing 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).

Document Type: Article
Keywords: monitoring network, mobile platform, time-series data, ecosystem monitoring
Research affiliation: OceanRep > GEOMAR > FB2 Marine Biogeochemistry > FB2-MG Marine Geosystems
OceanRep > GEOMAR > FB1 Ocean Circulation and Climate Dynamics > FB1-P-OZ Paleo-Oceanography
Refereed: Yes
DOI etc.: 10.1021/acs.est.9b00409
ISSN: 0013-936X
Date Deposited: 21 Jun 2019 07:57
Last Modified: 21 Jun 2019 11:03

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