50bc62bb-a226-445d-a2b9-b45c59eaaec1 Vaz Sandrine IFREMER Station de Sète - Avenue Jean Monnet - CS 30171 - 34203 Sète Cedex Sete France Sandrine.Vaz@ifremer.fr pointOfContact 2025-05-16T14:40:36.226615Z ISO 19115-3 - SEXTANT 1.0 2 355200 false WGS 84 (EPSG:4326) EPSG 8.6 Mediterranean bioregions of megabenthic communities 2025-01-17 creation 2025-05-17 publication https://sextant.ifremer.fr/record/50bc62bb-a226-445d-a2b9-b45c59eaaec1 The raster corresponds to the predicted 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/50bc62bb-a226-445d-a2b9-b45c59eaaec1/attachments/merge_bioregion.JPG /Biological Environment/Habitats Thèmes Sextant 2024-09-27 publication 2024-09-27 publication geonetwork.thesaurus.local.theme.sextant-theme Habitats and biotopes GEMET - INSPIRE themes, version 1.0 2018-01-01 publication 2018-07-27T14:39:48 publication geonetwork.thesaurus.external.theme.httpinspireeceuropaeutheme-theme D1: Coastal benthic habitats DCSMM : Descripteurs 2024-07-26 publication 2024-07-26 publication geonetwork.thesaurus.local.theme.dcsmm-descripteur Sous-regions marines 2024-07-26 publication 2024-07-26 publication geonetwork.thesaurus.local.place.dcsmm.area /Environmental Status/Habitats /Environmental Status/Species Thématiques - SIMM 2024-07-26 publication 2024-07-26 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. e4521877-e3a0-4dbf-867e-6a339e1c957f 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 COPYFILE merge_bioregion.tif Megabenthic bioregions in the Mediterranean https://sextant.ifremer.fr/services/wms/redress OGC:WMS merge_bioregion Mediterranean bioregions of megabenthic communities https://doi.org/10.12770/50bc62bb-a226-445d-a2b9-b45c59eaaec1 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. Records of megabenthic invertebrates were extracted from the MEDITS (MEDiterranean International Trawl Survey) database from 2016 to 2021 (2023 for the French data). Rare taxa were excluded by applying a taxonomic filter : taxa were grouped at a higher taxonomic level if they were recorded in less than 60% of the years per GSA (Geographical Sub-Areas), or if they accounted for less than 5% of all stations per GSA and year. Data were split per sub-basin (Western Mediterranean, Central Mediterranean, Adriatic Sea, Aegean Sea). Biomass data (g/km2) were log-transformed (log(x+1) and standardized applying an Hellinger-transformation. Then, a PCA was applied on each dataset to remove noise and only axes representing at least 2% of the total variance were retained. Prepare datasets of megabenthic records per sub-basin. K-means clustering was applied on PCA outputs, per sub-basin, to group similar MEDITS trawl stations based on their composition in megabenthic communities. Obtain clusters of MEDITS trawl stations per sub-basin. A Random Forest (RF) algorithm was used to predict the distribution of each cluster (factor-type variable) in function of environmental variables. RFs were calibrated on 80% of the dataset while the remaining 20% was used to evaluate its performance. Predicted areas of each cluster defined by the RF models and characterized by distinct megabenthic invertebrate communities defined the bioregions of the study. Predict the distribution of the megabenthic bioregions per sub-basin. Bioregions identified in the four different sub-basins were finally merged in a final map. Obtain a map of the full bioregionalization of the Mediterranean soft-bottom above 1000m.