New High-Tech Flexible Networks for the Monitoring of Deep-Sea Ecosystems
Date of Original Version
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).
Publication Title, e.g., Journal
Environmental Science and Technology
Aguzzi, Jacopo, Damianos Chatzievangelou, Simone Marini, Emanuela Fanelli, Roberto Danovaro, Sascha Flögel, Nadine Lebris, Francis Juanes, Fabio C. De Leo, Joaquin Del Rio, Laurenz Thomsen, Corrado Costa, Giorgio Riccobene, Cristian Tamburini, Dominique Lefevre, Carl Gojak, Pierre M. Poulain, Paolo Favali, Annalisa Griffa, Autun Purser, Danelle Cline, Duane Edgington, Joan Navarro, Sergio Stefanni, Steve D'Hondt, Imants G. Priede, Rodney Rountree, and Joan B. Company. "New High-Tech Flexible Networks for the Monitoring of Deep-Sea Ecosystems." Environmental Science and Technology 53, 12 (2019). doi: 10.1021/acs.est.9b00409.