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  5. An integrated approach for the benthic habitat mapping based on innovative surveying technologies and ecosystem functioning measurements

An integrated approach for the benthic habitat mapping based on innovative surveying technologies and ecosystem functioning measurements

Author(s)
Piazzolla, Daniele
Scanu, Sergio
Mancuso, Francesco Paolo
Bosch-Belmar, Mar
Bonamano, Simone  
more
Date Issued
2024
Type
article
Volume
14
DOI
10.1038/s41598-024-56662-6
Journal
SCIENTIFIC REPORTS  
Abstract
Among marine ecosystems globally, those in the Mediterranean Sea, are facing many threats. New technologies are crucial for enhancing our understanding of marine habitats and ecosystems, which can be complex and resource-intensive to analyse using traditional techniques. We tested, for the first time, an integrated multi-platform approach for mapping the coastal benthic habitat in the Civitavecchia (northern Latium, Italy) coastal area. This approach includes the use of an Unmanned Surface Vehicle (USV), a Remote Operated Vehicle (ROV), and in situ measurements of ecosystem functionality. The echosounder data allowed us to reconstruct the distribution of bottom types, as well as the canopy height and coverage of the seagrass Posidonia oceanica. Our study further involved assessing the respiration (Rd) and net primary production (NCP) rates of P. oceanica and its associated community through in situ benthic chamber incubation. By combining these findings with the results of USV surveys, we were able to develop a preliminary spatial distribution model for P. oceanica primary production (PP-SDM). The P. oceanica PP-SDM was applied between the depths of 8 and 10 m in the studied area and the obtained results showed similarities with other sites in the Mediterranean Sea. Though in the early stages, our results highlight the significance of multi-platform observation data for a thorough exploration of marine ecosystems, emphasizing their utility in forecasting biogeochemical processes in the marine environment.
Handle
http://hdl.handle.net/2067/51731
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Piazzolla_2024_ScientificReports.pdf

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819469d735a08be4d2e1904fb75c53f1

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