SfM-based method to assess gorgonian forests (Paramuricea clavata (Cnidaria, Octocorallia))

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dc.contributor.authorPalma, Marco
dc.contributor.authorRivas Casado, Monica
dc.contributor.authorPantaleo, Ubaldo
dc.contributor.authorPavoni, Gaia
dc.contributor.authorPica, Daniela
dc.contributor.authorCerrano, Carlo
dc.date.accessioned2018-07-31T08:48:54Z
dc.date.available2018-07-31T08:48:54Z
dc.date.issued2018-07-21
dc.description.abstractAnimal forests promote marine habitats morphological complexity and functioning. The red gorgonian, Paramuricea clavata, is a key structuring species of the Mediterranean coralligenous habitat and an indicator species of climate effects on habitat functioning. P. clavata metrics such as population structure, morphology and biomass inform on the overall health of coralligenous habitats, but the estimation of these metrics is time and cost consuming, and often requires destructive sampling. As a consequence, the implementation of long-term and wide-area monitoring programmes is limited. This study proposes a novel and transferable Structure from Motion (SfM) based method for the estimation of gorgonian population structure (i.e., maximal height, density, abundance), morphometries (i.e., maximal width, fan surface) and biomass (i.e., coenenchymal Dry Weight, Ash Free Dried Weight). The method includes the estimation of a novel metric (3D canopy surface) describing the gorgonian forest as a mosaic of planes generated by fitting multiple 5 cm × 5 cm facets to a SfM generated point cloud. The performance of the method is assessed for two different cameras (GoPro Hero4 and Sony NEX7). Results showed that for highly dense populations (17 colonies/m2), the SfM-method had lower accuracies in estimating the gorgonians density for both cameras (60% to 89%) than for medium to low density populations (14 and 7 colonies/m2) (71% to 100%). Results for the validation of the method showed that the correlation between ground truth and SfM estimates for maximal height, maximal width and fan surface were between R2 = 0.63 and R2 = 0.9, and R2 = 0.99 for coenenchymal surface estimation. The methodological approach was used to estimate the biomass of the gorgonian population within the study area and across the coralligenous habitat between −25 to −40 m depth in the Portofino Marine Protected Area. For that purpose, the coenenchymal surface of sampled colonies was obtained and used for the calculations. Results showed biomass values of dry weight and ash free dry weight of 220 g and 32 g for the studied area and to 365 kg and 55 Kg for the coralligenous habitat in the Marine Protected Area. This study highlighted the feasibility of the methodology for the quantification of P. clavata metrics as well as the potential of the SfM-method to improve current predictions of the status of the coralligenous habitat in the Mediterranean sea and overall management of threatened ecosystems.en_UK
dc.identifier.citationMarco Palma, Monica Rivas Casado, Ubaldo Pantaleo, et al., SfM-based method to assess gorgonian forests (Paramuricea clavata (Cnidaria, Octocorallia)). Remote Sensing, 2018, Volume 10, Issue 7, article number 1154en_UK
dc.identifier.issn2072-4292
dc.identifier.urihttps://doi.org/10.3390/rs10071154
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/13368
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectanimal foresten_UK
dc.subjectpoint cloud classificationen_UK
dc.subjectGood Environmental Statusen_UK
dc.subjectenvironmental accountingen_UK
dc.subjectconservationen_UK
dc.titleSfM-based method to assess gorgonian forests (Paramuricea clavata (Cnidaria, Octocorallia))en_UK
dc.typeArticleen_UK

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