| Literature DB >> 31074981 |
Jacopo Aguzzi1, Damianos Chatzievangelou2, Simone Marini3, Emanuela Fanelli4, Roberto Danovaro4,5, Sascha Flögel6, Nadine Lebris7, Francis Juanes8, Fabio C De Leo8,9, Joaquin Del Rio10, Laurenz Thomsen2, Corrado Costa11, Giorgio Riccobene12, Cristian Tamburini13, Dominique Lefevre13, Carl Gojak14, Pierre-Marie Poulain15, Paolo Favali16,17, Annalisa Griffa3, Autun Purser18, Danelle Cline19, Duane Edgington19, Joan Navarro1, Sergio Stefanni5, Steve D'Hondt20, Imants G Priede21,22, Rodney Rountree8,23, Joan B Company1.
Abstract
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).Entities:
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Year: 2019 PMID: 31074981 DOI: 10.1021/acs.est.9b00409
Source DB: PubMed Journal: Environ Sci Technol ISSN: 0013-936X Impact factor: 9.028