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New Technologies for Monitoring and Upscaling Marine Ecosystem Restoration in Deep-Sea Environments

Authors :
Jacopo Aguzzi
Laurenz Thomsen
Sascha Flögel
Nathan J. Robinson
Giacomo Picardi
Damianos Chatzievangelou
Nixon Bahamon
Sergio Stefanni
Jordi Grinyó
Emanuela Fanelli
Cinzia Corinaldesi
Joaquin Del Rio Fernandez
Marcello Calisti
Furu Mienis
Elias Chatzidouros
Corrado Costa
Simona Violino
Michael Tangherlini
Roberto Danovaro
Source :
Engineering, Vol 34, Iss , Pp 195-211 (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

The United Nations (UN)’s call for a decade of “ecosystem restoration” was prompted by the need to address the extensive impact of anthropogenic activities on natural ecosystems. Marine ecosystem restoration is increasingly necessary due to increasing habitat degredation in deep waters (>200 m depth). At these depths, which are far beyond those accessible by divers, only established and emerging robotic platforms such as remotely operated vehicles (ROVs), autonomous underwater vehicles (AUVs), landers, and crawlers can operate through manipulators and multiparametric sensor arrays (e.g., optoacoustic imaging, omics, and environmental probes). The use of advanced technologies for deep-sea ecosystem restoration can provide: ① high-resolution three-dimensional (3D) imaging and acoustic mapping of substrates and key taxa, ② physical manipulation of substrates and key taxa, ③ real-time supervision of remote operations and long-term ecological monitoring, and ④ the potential to work autonomously. Here, we describe how robotic platforms with in situ manipulation capabilities and payloads of innovative sensors could autonomously conduct active restoration and monitoring across large spatial scales. We expect that these devices will be particularly useful in deep-sea habitats, such as ① reef-building cold-water corals, ② soft-bottom bamboo corals, and ③ soft-bottom fishery resources that have already been damaged by offshore industries (i.e., fishing and oil/gas).

Details

Language :
English
ISSN :
20958099
Volume :
34
Issue :
195-211
Database :
Directory of Open Access Journals
Journal :
Engineering
Publication Type :
Academic Journal
Accession number :
edsdoj.24b4b44dff842a194ea87c9a7afa78c
Document Type :
article
Full Text :
https://doi.org/10.1016/j.eng.2023.10.012