56A8D063-0576-4376-97FF-1F21D5DA64E6 dataset Dr. Kerry Howell Plymouth University kerry.howell@plymouth.ac.uk 2026-09-18T12:52:05.5708589Z INSPIRE Metadata Implementing Rules: Technical Guidelines based on EN ISO 19115 and EN ISO 19119 V. 1.2 2 2895 0.002534 891 0.002534 true false -20.034433 57.344335 -20.034433 59.602129 -12.698503 59.602129 -12.698503 57.344335 -16.366468 58.473232 center http://www.opengis.net/def/crs/EPSG/0/4258 EPSG 6.14(3.0.1) Predicitive habitat model of Lophelia pertusa distribution in Hatton Bank and George Bligh Bank, UK GB300001 2011-06-18 56A8D063-0576-4376-97FF-1F21D5DA64E6 Kerry L. Howell, Rebecca Holt, In├®s Pulido Endrino and Heather Stewart, When the species is also a habitat: Comparing the predictively modelled distributions of Lophelia pertusa and the reef habitat it forms, Biological Conservation, Volume 144, Issue 11, 2011, https://doi.org/10.1016/j.biocon.2011.07.025. Predicitive habitat model of Lophelia pertusa distribution in Hatton Bank and George Bligh Bank Kerry L.Howell, Rebecca Holt, In├®s Pulido Endrino, Heather Stewart Dr. Kerry Howell Plymouth University kerry.howell@plymouth.ac.uk Habitats and biotopes GemetInspireTheme GEMET - INSPIRE themes, version 1.0 2008-06-01 Downloadable Data Public access to spatial data sets and services would adversely affect intellectual property rights. Data is available to view only. No download is available. Copyright Howell et al. 2011 biota oceans geoscientificInformation Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.5.1.7333 true -20.034433 -12.698503 57.344335 59.602129 Band_1 0.992637 0.000295 Unified Code of Units of Measure 32 Raster Dataset 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 This study uses Maxent predictive modelling to investigate whether the distribution of the species acts as a suitable proxy for the reef habitat. Models of both species and habitat distribution across Hatton Bank and George Bligh Bank are constructed using multibeam bathymetry, interpreted substrate and geomorphology layers, and derived layers of bathymetric position index (BPI), rugosity, slope and aspect. Species and reef presence records were obtained from video observations. For both models performance is fair to excellent assessed using AUC and additional threshold dependant metrics. 7.17% of the study area is predicted as highly suitable for the species presence while only 0.56% is suitable for reef presence, using the sensitivityÔÇôspecificity sum maximisation approach to determine the appropriate threshold. Substrate is the most important variable in the both models followed by geomorphology in the RD model and fine scale BPI in the SD model. The difference in the distributions of reef and species suggest that mapping efforts should focus on the habitat rather than the species at fine (100 m) scales.