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Editorial: Data acquisition and processing strategies for the development of ecological indicators in the exploration and monitoring of deep-sea ecosystems under natural and anthropogenic changes.
Chatzievangelou, Damianos, Robinson, Nathan J., Floegel, Sascha, Bongiorni, Lucia, Stefanni, Sergio and Aguzzi, Jacopo
(2023)
Editorial: Data acquisition and processing strategies for the development of ecological indicators in the exploration and monitoring of deep-sea ecosystems under natural and anthropogenic changes.
Frontiers in Marine Science, 10
.
Art.Nr. 1228891.
DOI 10.3389/fmars.2023.1228891.
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Abstract
Over half a century ago, following the development and integration of the adequate technology, the deep sea transitioned from being the last frontier for exploration on our planet to the subject of industrial-level exploitation. While the main impacts in the deep sea are currently the product of large-scale fisheries and offshore energy production (mainly oil and gas), the expected transition of the global economy towards greener (or, in this case, bluer) solutions will likely include the use of the marine domain as a setting for renewable energy infrastructure (e.g., floating wind farms loosely anchored to the seabed) and seabed mining for rare minerals that are fundamental to the renewable energy technologies. Despite the risks posed by these impacts, the development of robust management guidelines for deep-sea habitats and resources has not kept pace with technological progress and growing economic forces. As a result, this highlights an opportunity to develop standardized methodologies, goals and overall strategies. To achieve this, it is imperative for scientists and managing authorities to reach a high level of consensus in both data acquisition and treatment, as well as in reliable ecological indicators to track both natural and human-induced ecosystem changes. (...)
Document Type: | Article |
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Keywords: | deep sea, ecosystem change, Ecosystem Based Management (EBM), novel technologies, ROVs, AUVs, exploration, Artificial Intelligence (AI) |
Research affiliation: | OceanRep > GEOMAR > FB1 Ocean Circulation and Climate Dynamics > FB1-P-OZ Paleo-Oceanography |
Main POF Topic: | PT2: Ocean and Cryosphere |
Refereed: | Yes |
Open Access Journal?: | Yes |
Publisher: | Frontiers |
Related URLs: | |
Projects: | ARCHES, iFOODis, PLOME |
Date Deposited: | 19 Jul 2023 07:38 |
Last Modified: | 04 Feb 2025 11:37 |
URI: | https://oceanrep.geomar.de/id/eprint/58890 |
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