Confidence in the full output of the 2016 EUSeaMap broad-scale predictive model, produced by EMODnet Seabed Habitats. Values are on a range from 1 (low confidence) to 3 (high confidence). Confidence is calculated by amalgamating the confidence values of the underlying applicable habitat descriptors used to generate the habitat value in the area in question. Habitat descriptors differ per region but include: Biological zone Energy class Oxygen regime Salinity regime Seabed Substrate Riverine input Confidence in habitat descriptors are driven by the confidence in the source data used to determine the descriptor, and the confidence in the threshold/margin (areas closer to a boundary between two classes will have lower confidence). Confidence values are also available for each habitat descriptor and input data layer.

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.

Output of the 2016 EUSeaMap broad-scale predictive model, produced by EMODnet Seabed Habitats and aggregated into the predominant habitats of the Marine Strategy Framework Directive. 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.

"Abstract: " Hydrodynamic database build with the MARS3D model along the french manche and atlantic coast at high spatial (500m) and temporal (1h) resolution "Details:" Seabed habitats maps are build from statistics models which need some data that describe the physical environment of the different species. Theses environmental factors are the salinity, temperature and shear stress (from waves and current) on the sea floor. Statistics are based on realistic and inter-annual simulations from 3D ocean models.Models output are currently available at a uniform resolution of 2.5 km along the whole French coast,as a part of the PREVIMER project (http://www.previmer.org) To increase the horizontal resolution of the model to 500m grid spacing, an on-line grid refinement technique has been carried out with the AGRIF library. (http://www-ljk.imag.fr/MOISE/AGRIF/) Seven zooms (with 500m resolution) have been implemented in the 2.5 km MANGAE configuration. From this configuration, an hindcast of six years (from 2010 to 2015) has been simulated and cover the french coast from spain to pas-de-calais area : "Main features of the hindcast" Horizontal resolution : 500m Vertical resolution : 40 sigma levels Temporal resolution : 1 Hour "Available physical parameters" ◦ 2D : Sea surface height and barotropic velocities (U and V components) ◦ 3D : Temperature, Salinity and baroclinic velocities