An assessment of French Mediterranean benthic habitats' sensitivity to physical pressures
Marie RivièreNoëmie MichezAnnabelle AishDenise Bellan‐SantiniGérard BellanPierre ChevaldonnéJean‐Claude DauvinSandrine Derrien-CourtelJacques GrallLaurent GuérinAnne-Laure JansonCéline LabruneStéphane SartorettoThierry ThibautÉric ThiébautMarc Verlaque
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Benthic Habitat
Abstract The condition of benthic habitats in optically shallow sea waters becomes important information in the inventory and processing of coastal resources. Remote sensing is effective and efficient in mapping benthic habitats. This study aims to apply absolute and relative water column correction methods in order to map benthic habitats on Parang Island using PlanetScope image. The benthic habitat classification scheme used consists of coral reefs, seagrass, macroalgae, and substrate. We compared the accuracy of benthic habitat map based on absolute and relative water column correction methods. The classification methods used are the Maximum Likelihood (ML) algorithm and Support Vector Machine (SVM). The results showed that benthic habitat map with the highest accuracy was obtained by a combination of Lyzenga-ML at 61.63% followed by Purkis-SVM at 59.18%, Lyzenga-SVM at 41.90%, and Purkis-ML 16.87%. The results show that the Lyzenga water column correction method is the best choice in mapping benthic habitats.
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This chapter contains sections titled: Introduction Categories of Benthic Organisms The Role of Benthic Communities Macroscale Distribution in Benthic Communities Interactions between Benthic Communities and Fish Mapping Marine Habitats and Communities Microbial Communities and Processes Threatened Benthic Habitats References
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A number of surveys were carried out in the Greater Minch Area to investigate the variety and distribution of benthic habitats and their resident faunal communities. RoxAnnTM, an acoustic seabed classification system, was used to map the different substrata whilst the benthic communities were investigated using both photographic and underwater television techniques. A variety of substrata were identified ranging from bedrock and boulders to fine silty mud. Statistical analysis of the faunal data revealed the presence of four distinct benthic communities which could be related to the substratum type. The application of acoustic and underwater television techniques to broad-scale mapping of benthic communities is discussed.
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