B3508400-5B07-460C-A73C-8A73857879BF dataset Chris Yesson Institute of Zoology, Zoological Society of London chris.yesson@ioz.ac.uk 2022-12-07T09:44:10.402Z INSPIRE Metadata Implementing Rules: Technical Guidelines based on EN ISO 19115 and EN ISO 19119 V. 1.2 2 852 0.166667 2160 0.166667 true false -180.000000 -72.000000 -180.000000 70.000000 180.000000 70.000000 180.000000 -72.000000 0.000000 -1.000000 center http://www.opengis.net/def/crs/EPSG/0/4258 EPSG 6.14(3.0.1) Global habitat suitability for Calcaxonia cold water octocoral GB300016 2012-02-03 B3508400-5B07-460C-A73C-8A73857879BF Chris Yesson Institute of Zoology, Zoological Society of London chris.yesson@ioz.ac.uk Yesson, Chris; Taylor, Michelle L; Tittensor, Derek P; Davies, Andrew; Guinotte, John M; Baco, Amy; Black, Julie; Hall-Spencer, Jason M; Rogers, Alex David (2012): Global raster maps indicating the habitat suitability for 7 suborders of cold water octocorals (Octocorallia found deeper than 50m). PANGAEA, https://doi.org/10.1594/PANGAEA.775081, Supplement to: Yesson, C et al. (2012): Global habitat suitability of cold-water octocorals. Journal of Biogeography, 39(7), 1278-1292, https://doi.org/10.1111/j.1365-2699.2011.02681.x Global habitat suitability for Calcaxonia cold water octocoral This dataset consists of global raster maps indicating the habitat suitability for 7 suborders of cold water octocorals (Octocorallia found deeper than 50m). Maps present a relative habitat suitability index ranging from 0 (unsuitable) to 100 (highly suitable). This data set has been used as one of the data inputs in the Atlantic REMP project. This project, funded by the European Union, worked together with stakeholders to produce a draft Regional Environmental Management Plan (REMP) for the Area in the North Atlantic, with a focus on the polymetallic sulphide deposits of the Mid-Atlantic Ridge which are of interest for deep-sea mining. There was close collaboration with the International Seabed Authority (ISA) and a consortium of scientific organisations. Marine data from multiple data services underpinned the environmental management plan development. A selection of the data sets is included in EMODnet Ingestion for wider distribution. Yesson, Chris; Taylor, Michelle L; Tittensor, Derek P; Davies, Andrew; Guinotte, John M; Baco, Amy; Black, Julie; Hall-Spencer, Jason M; Rogers, Alex David Chris Yesson Institute of Zoology, Zoological Society of London chris.yesson@ioz.ac.uk Habitats and biotopes GemetInspireTheme GEMET - INSPIRE themes, version 1.0 2008-06-01 Downloadable Data Viewable, Downloadable environment Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.5.1.7333 true -180.00 180.00 -89.00 89.00 2012-01-01 true -180.00 180.00 -89.00 89.00 Band_1 Unified Code of Units of Measure 8 Raster Dataset https://ows.emodnet-seabedhabitats.eu/geoserver/emodnet_view_maplibrary/wms OGC:WMS gb300016 View map "GB300016" through the EMODnet Seabed Habitats "Map Library" Web Map Service. https://ows.emodnet-seabedhabitats.eu/geoserver/emodnet_open_maplibrary/wcs OGC:WCS gb300016 View map "GB300016" through the EMODnet Seabed Habitats "Map Library" Web Feature Service. https://files.emodnet-seabedhabitats.eu/data/GB300016.zip WWW:LINK-1.0-http--link EMODnet Seabed Habitats download Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services true Three-quarters of Octocorallia species are found in deep waters. These cold-water octocoral colonies can form a major constituent of structurally complex habitats. The global distribution and the habitat requirements of deep-sea octocorals are poorly understood given the expense and difficulties of sampling at depth. Habitat suitability models are useful tools to extrapolate distributions and provide an understanding of ecological requirements. Here, we present global habitat suitability models and distribution maps for seven suborders of Octocorallia: Alcyoniina, Calcaxonia, Holaxonia, Scleraxonia, Sessiliflorae, Stolonifera and Subselliflorae. We use maximum entropy modelling to predict octocoral distribution using a database of 12,508 geolocated octocoral specimens and 32 environmental grids resampled to 30 arc-second (approximately 1 km2) resolution. Additionally, a meta-analysis determined habitat preferences and niche overlap between the different suborders of octocorals.