New high-tech flexible networks for the monitoring of deep-sea ecosystems
Autor: | Jacopo Aguzzi, 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-Marie Poulain, Paolo Favali, Annalisa Griffa, Autun Purser, Danelle Cline, Duane Edgington, Joan Navarro, Sergio Stefanni, Steve D’Hondt, Imants G. Priede, Rodney Rountree, Joan B. Company |
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Přispěvatelé: | Agencia Estatal de Investigación (España), European Commission, Ministerio de Ciencia, Innovación y Universidades (España), Università Politecnica delle Marche [Ancona] (UNIVPM), Department of Marine Science, Polytechnnic University of Marche, Pharmacology, Agricultural Engineering Research Unit, Agricultural Research Council (CRA), Institut méditerranéen d'océanologie (MIO), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), Istituto Nazionale di Geofisica e di Oceanografia Sperimentale (OGS), European Multidisciplinary Seafloor and water column Observatory (EMSO), Istituto di Science Marine (ISMAR ), National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR), Estación Biológica de Doñana (EBD), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Université Montpellier 2 - Sciences et Techniques (UM2), Institute of Marine Sciences / Institut de Ciències del Mar [Barcelona] (ICM), Jacobs University [Bremen], University of Florida [Gainesville] (UF), Stazione Zoologica Anton Dohrn (SZN), Sorbonne Université (SU), University of Victoria [Canada] (UVIC), Istituto Nazionale di Fisica Nucleare, Sezione di Catania (INFN), Università degli studi di Catania = University of Catania (Unict), Division technique INSU/SDU (DTI), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Toulon (UTLN), Consiglio Nazionale delle Ricerche (CNR) |
Rok vydání: | 2022 |
Předmět: |
Physics - Instrumentation and Detectors
Monitoring Traceability [SDE.MCG]Environmental Sciences/Global Changes Biodiversity FOS: Physical sciences Augmented observatories 010501 environmental sciences 01 natural sciences Mining Ecosystems Deep Sea Abundance (ecology) Environmental Chemistry Ecosystem 14. Life underwater Quantitative Biology - Populations and Evolution ComputingMilieux_MISCELLANEOUS [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography 0105 earth and related environmental sciences Trophic level [SDV.EE]Life Sciences [q-bio]/Ecology environment [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere Abiotic component business.industry Environmental resource management Populations and Evolution (q-bio.PE) Pelagic zone General Chemistry Instrumentation and Detectors (physics.ins-det) 13. Climate action Benthic zone FOS: Biological sciences Environmental science [SDE.BE]Environmental Sciences/Biodiversity and Ecology business |
Zdroj: | Environmental Science & Technology, 53 (12). pp. 6616-6631. Digital.CSIC. Repositorio Institucional del CSIC instname Environmental science & technology 53 (2019): 6616–6631. doi:10.1021/acs.est.9b00409 info:cnr-pdr/source/autori:Aguzzi, Jacopo; Chatzievangelou, Damianos; Marini, Simone; Fanelli, Emanuela; Danovaro, Roberto; Floegel, 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; Company, Joan B./titolo:New High-Tech Flexible Networks for the Monitoring of Deep-Sea Ecosystems/doi:10.1021%2Facs.est.9b00409/rivista:Environmental science & technology/anno:2019/pagina_da:6616/pagina_a:6631/intervallo_pagine:6616–6631/volume:53 Environmental Science and Technology Environmental Science and Technology, 2019, 53 (12), pp.6616-6631. ⟨10.1021/acs.est.9b00409⟩ EPIC3Environmental Science & Technology, 53(12), pp. 6616-6631, ISSN: 0013-936X Environmental Science and Technology, American Chemical Society, 2019, 53 (12), pp.6616-6631. ⟨10.1021/acs.est.9b00409⟩ |
ISSN: | 2017-8786 0013-936X 1520-5851 |
DOI: | 10.48550/arxiv.2201.05644 |
Popis: | 16 pages, 4 figures, 2 tables 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) This work was developed within the framework of the Tecnoterra (ICM-CSIC/UPC) and 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 (Grant TEC2017-87861-R; Ministerio de Ciencia, Innovación y Universidades), RESNEP (Grant CTM2017-82991-C2-1-R; Ministerio de Ciencia, Innovacion y Universidades), MERCES (Marine Ecosystem Restoration in Changing European Seas - GA No. 689518), and IDEM (Implementing the MSFD to the Deep Mediterranean Sea, GA No. 11.0661/2017/750680/SUB/ENV.C2) |
Databáze: | OpenAIRE |
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