e4521877-e3a0-4dbf-867e-6a339e1c957f Vaz Sandrine IFREMER Station de Sète - Avenue Jean Monnet - CS 30171 - 34203 Sète Cedex Sete France Sandrine.Vaz@ifremer.fr pointOfContact 2026-06-25T15:46:11.224272Z ISO 19115-3 - SEXTANT 1.0 2 355200 false WGS 84 (EPSG:4326) EPSG 8.6 Uncertainties associated with Mediterranean bioregions of megabenthic communities 2025-01-17 creation 2025-05-17 publication https://sextant.ifremer.fr/record/e4521877-e3a0-4dbf-867e-6a339e1c957f The rasters correspond to the prediction uncertainties associted with the production of Mediterranean bioregions of megabenthic communities Ifremer Jade Millot Ifremer Jade.Millot@ifremer.fr author Sandrine Vaz Ifremer Sandrine.Vaz@ifremer.fr author sextant Ifremer sextant@ifremer.fr publisher Valentina Lauria IRBIM CNR valentina.lauria@cnr.it author https://sextant.ifremer.fr/geonetwork/srv/api/records/e4521877-e3a0-4dbf-867e-6a339e1c957f/attachments/Uncertainties.JPG /Biological Environment/Habitats Thèmes Sextant 2025-12-09 publication geonetwork.thesaurus.local.theme.sextant-theme Habitats and biotopes GEMET - INSPIRE themes, version 1.0 2018-07-27T14:39:48 publication 2018-07-27 publication geonetwork.thesaurus.external.theme.httpinspireeceuropaeutheme-theme D1: Coastal benthic habitats DCSMM : Descripteurs 2025-12-09 publication geonetwork.thesaurus.local.theme.dcsmm-descripteur Sous-regions marines 2025-12-09 publication geonetwork.thesaurus.local.place.dcsmm.area /Environmental Status/Habitats /Environmental Status/Species Thématiques - SIMM 2025-12-09 publication geonetwork.thesaurus.local.theme.simm.thematiques CC-BY (Creative Commons - Attribution) We do our best to ensure that the data is complete, accurate and useful. However, because the processing required to generate the data is complex, we cannot be liable for omissions or inaccuracies. The data and any related materials contained therein are provided “as is”, without warranty of any kind, either expressed or implied, including but not limited to, fitness for a particular purpose, non-interference, system integration, or non-infringement. The entire risk of use of the data shall be with the user. 50bc62bb-a226-445d-a2b9-b45c59eaaec1 b0a85bec-a8a7-40f8-ae83-b4302328c5f4 0e50beb8-555d-43df-aac6-e23a7f7ffdb0 grid 0.04 utf8 oceans environment -6.00 37.00 30.00 46.00 2016-01-01 2023-12-31 https://doi.org/10.12770/6d6649e8-91c5-4209-a22f-3202ff94608a WWW:LINK IFREMER SIH (2023).Sous-divisions GSA CGPM/GFCM (version SIH). IFREMER SIH https://onlinelibrary.wiley.com/doi/full/10.1111/ddi.12209 WWW:LINK Here be dragons: a tool for quantifying novelty due to covariate range and correlation change when projecting species distribution models (Mesgaran et al., 2014) FILE raster_analogue_ADRI.tif Areas of known environmental conditions in the Adriatic Sea (tif) https://sextant.ifremer.fr/services/wms/redress OGC:WMS uncertainties_analogue_ADRI Areas of known environmental conditions in the Adriatic Sea FILE raster_analogue_AEGE Areas of known environmental conditions in the Aegean Sea (tif) https://sextant.ifremer.fr/services/wms/redress OGC:WMS uncertainties_analogue_AEGE Areas of known environmental conditions in the Aegean Sea FILE raster_analogue_CENT Areas of known environmental conditions in the Central Mediterranean (tif) https://sextant.ifremer.fr/services/wms/redress OGC:WMS uncertainties_analogue_CENT Areas of known environmental conditions in the Central Mediterranean FILE raster_analogue_WEST Areas of known environmental conditions in the Western Mediterranean (tif) https://sextant.ifremer.fr/services/wms/redress OGC:WMS uncertainties_analogue_WEST Areas of known environmental conditions in the Western Mediterranean FILE raster_univariate_ADRI Areas of univariate extrapolation in the Adriatic Sea (tif) https://sextant.ifremer.fr/services/wms/redress OGC:WMS uncertainties_univariate_ADRI Areas of univariate extrapolation in the Adriatic Sea FILE raster_univariate_AEGE Areas of univariate extrapolation in the Aegean Sea (tif) https://sextant.ifremer.fr/services/wms/redress OGC:WMS uncertainties_univariate_AEGE Areas of univariate extrapolation in the Aegean Sea FILE raster_univariate_CENT Areas of univariate extrapolation in the Central Mediterranean (tif) https://sextant.ifremer.fr/services/wms/redress OGC:WMS uncertainties_univariate_CENT Areas of univariate extrapolation in the Central Mediterranean FILE raster_univariate_WEST Areas of univariate extrapolation in the Western Mediterranean (tif) https://sextant.ifremer.fr/services/wms/redress OGC:WMS uncertainties_univariate_WEST Areas of univariate extrapolation in the Western Mediterranean https://doi.org/10.12770/e4521877-e3a0-4dbf-867e-6a339e1c957f DOI Digital Object Identifier (DOI) RÈGLEMENT (UE) N o 1089/2010 DE LA COMMISSION du 23 novembre 2010 portant modalités d'application de la directive 2007/2/CE du Parlement européen et du Conseil en ce qui concerne l'interopérabilité des séries et des services de données géographiques 2010-12-08 publication See the referenced specification false This layer is linked to the following study: "Characterizing Soft-bottom Megabenthic Communities of the Mediterranean Continental Shelf: A Biogeographic Approach", 2025, Jade Millot, Sandrine Vaz, Tarek Hattab, Christopher J. Smith, Carlos Dominguez-Carrió, Beatriz Guijarro, Grégoire Certain, Vasilis Gerovasileiou, Vincent Georges, Caterina Stamouli, Michele Casini, Chiara Manfredi, Emanuela Fanelli, Germana Garofalo, Marie-Claire Fabri, Daniela Massi, Angélique Jadaud, Adriana Profeta, Pierluigi Carbonara, Evgenia Lefkaditou, Slavica Petović, Athanasios Evangelopoulos, Nikolaos Kamidis, Ioannis Thasitis, Jurgen Mifsud, Kelly Camilleri, Valentina Lauria. This study is submitted but not yet published. The package ExDet (Extrapolation Detection tool) (Mesgaran et al., 2014) was used in R to assess the level of environmental extrapolations in areas where bioregions have been predicted by the Random Forest modelling. This tool is based on Malhanobis distance and quantified the magnitude of environmental dissimilarity between the environmental space known by the model (environmental range of the calibrating dataset) and the environmental space of the projected space. Two raster layers were produced per sub-basin (Western Mediterranean, Central Mediterranean, Adriatic Sea, Aegean Sea). A raster layer of "Analoguous conditions" was obtained and represents the pixels where environmental conditions are similar with the calibrating dataset ranges. This layer is ranged between 0 and 1, 1 corresponding to a complete similarity both in term of individual range of environmental predictors, and in terms of combination of predictors. Assess and map the areas of analoguous environmental conditions. A raster layer of "Univariate extrapolation" was obtained and represents the pixels where environmental conditions are outside the range of individual predictors used to calibrate the model. This layer is ranged from infinite negative values to 0. Assess and map the areas of univariate environmental extrapolation.