Broad Habitat - Broad-Scale Predictive Habitat Map (EUSeaMap2 - EUNIS) - September 2016
This map layer has been supplied directly by Marine Scotland National Marine Plan interactive. You can obtain additional information about the layer on this page
Output of the 2016 EUSeaMap broad-scale predictive model, produced by EMODnet Seabed Habitats. The extent of the mapped area includes the Mediterranean Sea, Black Sea, Baltic Sea, and areas of the North Eastern Atlantic extending from the Canary Islands in the south to Norway in the North. The map was produced using a "top-down" modelling approach using classified habitat descriptors to determine a final output habitat. Habitat descriptors differ per region but include: Biological zone Energy class Oxygen regime Salinity regime Seabed Substrate Riverine input Habitat descriptors (excepting Substrate) are calculated using underlying physical data and thresholds derived from statistical analyses or expert judgement on known conditions. The model is produced in Arc Model Builder (10.1). For more information on the modelling process please read the EMODnet Seabed Habitats The model was created using raster input layers with a cell size of 0.002dd (roughly 250 meters). The model includes the sublittoral zone only; due to the high variability of the littoral zone, a lack of detailed substrate data and the resolution of the model, it is difficult to predict littoral habitats at this scale. The map follows the EUNIS 2007-11 classification system where it is appropriate.
This version is clipped to the Scottish zone, with an extension to continental shelf limits west of Rockall. Please cite EMODnet seabed habitats when using these data or products.
Information contained here has been derived from data that is made available under the European Marine Observation Data Network (EMODnet) Seabed Habitats project (www.emodnet-seabedhabitats.eu), funded by the European Commission’s Directorate-General for Maritime Affairs and Fisheries (DG MARE).
The Data Owner and EMODnet Seabed Habitats consortium accept no liability for the use of this data or for any further analysis or interpretation of the data.