9617fdd6-e960-4e17-8d23-8f75911d774c dataset Vona Meleder University of Nantes vona.meleder@univ-nantes.fr 2022-07-19T11:17:28.408Z INSPIRE Metadata Implementing Rules: Technical Guidelines based on EN ISO 19115 and EN ISO 19119 V. 1.2 2 5462 5674 true 2 3206 0.001691 1728 0.001691 true false -5.660311 47.217336 -5.660311 50.139574 -0.238612 50.139574 -0.238612 47.217336 -2.949461 48.678455 center WGS 84 / UTM zone 30N (EPSG:32630) EPSG 6.14(3.0.1) Kelp distribution model across Brittany, France FR300004 2010-04-11 DOI:10.12770/9617fdd6-e960-4e17-8d23-8f75911d774c IFR_MORLAIX_KELP_PRESENCE_ABSENCE 9617fdd6-e960-4e17-8d23-8f75911d774c A habitat distribution modelling approach was used to model the spatial distribution of kelp forests along BritannyÔÇÖs coast (France). Lineage: Data represents percentage cover of kelp forest. The Habitat model was generated from kelp forest presence/absence determined from acoustic surveys of laminarial algae. KdPar, sea surface temperature, depth and current speed were used as predictive variables. Habitat model represents only the areas where kelp forests may occur, not the areas confirmed in field observations. Type of occurrence data used: Acoustic surveys of kelp forest were carried out in spring 2005-2006-2007 in 10 study areas along the coast of Brittany. A specific algorithm was developed for automatic detection of presence/absence of kelp forest from the acoustic data. Environmental covariates/explanatory variables: Covariates used were: - KPAR (proxy of light availability): spatial resolution 1km, averaged values (temporal coverage 7 years -1998-2004-, temporal resolution 1 week) - Sea surface temperature: spatial resolution 1km, averaged values (temporal coverage 20 years, temporal resolution 1 week) - Tidal current velocity: spatial resolution 300m, maximum values (temporal coverage one mean spring tide) Algorithm/modelling approach: A stepwise multiple regression with a backward selection of variables was used to predict values of kelp frequency (%)For EMODNet Seabed habitats portal, the dataset was scaled between 0-1. Original data is 0-100. Meleder Tard Vona, Populus Jacques, Guillaumont Brigitte, Perrot Thierry, Mouquet Pascal (2010). Predictive modelling of seabed habitats: case study of subtidal kelp forests on the coast of Brittany, France. Marine Biology, 157(7), 1525-1541. Publisher's official version : https://doi.org/10.1007/s00227-010-1426-4 , Open Access version : https://archimer.ifremer.fr/doc/00006/11758/ Vona Meleder University of Nantes vona.meleder@univ-nantes.fr DYNECO IFREMER sismer@ifremer.fr https://sextant.ifremer.fr/geonetwork/srv/api/records/9617fdd6-e960-4e17-8d23-8f75911d774c/attachments/Capture.png Habitats and biotopes GEMET - INSPIRE themes, version 1.0 2008-06-01 geonetwork.thesaurus.external.theme.httpinspireeceuropaeutheme-theme GEMET - INSPIRE themes, version 1.0 Uncategorized /Biological Environment/Habitats Marine habitat mapping Downloadable Data Creative Commons license to apply : Attribution + Non Commercial + No Derivs (BY-NC-ND) : http://creativecommons.org/licenses/?lang=en Viewable, not downloadable Limited usability. The product thematic accuracy is low. 150 environment Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.5.1.7333 true -5.149596 -0.355299 47.489605 49.745546 Band_1 1 0 Unified Code of Units of Measure 32 Raster Dataset http://dx.doi.org/10.12770/9617fdd6-e960-4e17-8d23-8f75911d774c WWW:LINK-1.0-http--metadata-URL DOI du jeu de donn├®e DOI du jeu de donn├®e http://www.ifremer.fr/services/wms/biologie OGC:WMS KELP_DISTRIBUTION_MODEL_BRITTANY Kelp distribution model across Brittany R├êGLEMENT (UE) N o 1089/2010 DE LA COMMISSION du 23 novembre 2010 portant modalit├®s d'application de la directive 2007/2/CE du Parlement europ├®en et du Conseil en ce qui concerne l'interop├®rabilit├® des s├®ries et des services de donn├®es g├®ographiques 2010-12-08 See the referenced specification false Data represents percentage cover of kelp forest. The Habitat model was generated from kelp forest presence/absence determined from acoustic surveys of laminarial algae. KdPar, sea surface temperature, depth and current speed were used as predictive variables. Habitat model represents only the areas where kelp forests may occur, not the areas confirmed in field observations. For EMODNet Seabed habitats portal, the dataset was scaled between 0-1. Original data is 0-100.