Inventory of faults and tectonic boundaries in Denmark at various regional scales

Confidence in kinetic energy due to waves values, produced by EMODnet Seabed Habitats for the 2016 EUSeaMap broad-scale predictive habitat maps. Values are on a range from 1 (Low confidence) to 3 (High confidence). The confidence assessment considered factors such as: • Quality of training data and methods used to construct the model. • Temporal resolution. • Spatial resolution Detailed information on the confidence assessment in Populus J. et al 2017. EUSeaMap, a European broad-scale seabed habitat map. Ifremer. http://doi.org/10.13155/49975

Oxygen regime class layer in the Black Sea produced by EMODnet Seabed Habitats as an input layer for the 2016 EUSeaMap broad-scale habitat model. The map of oxygen regime classes was produced using underlying potential density anomaly at the seabed and thresholds derived from statistical analyses or expert judgement on known conditions. Detailed information on the modelling process is found in the EMODnet Seabed Habitats technical report and its appendices (Populus et al, 2017, link in Resources).

Output of the 2016 EUSeaMap broad-scale predictive model, produced by EMODnet Seabed Habitats and aggregated into the Benthic Broad Habitat Types of the Marine Strategy Framework Directive (as defined in the Commission Decision 17 May 2017). 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 and Iceland 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 Technical report (See Online Resources) 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. For details on methodology see: Populus J. And Vasquez M. (Eds), 2017. EUSeaMap, a European broad-scale seabed habitat map. Ifremer Available from: http://archimer.ifremer.fr/doc/00388/49975/

Confidence in kinetic energy due to currents values, produced by EMODnet Seabed Habitats for the 2016 EUSeaMap broad-scale predictive habitat maps. Values are on a range from 1 (Low confidence) to 3 (High confidence). Detailed information on the confidence assessment in Populus J. et al 2017. EUSeaMap, a European broad-scale seabed habitat map. Ifremer. http://doi.org/10.13155/49975

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). For each grid cell, the confidence in final habitat class was the minimum of all relevant habitat descriptor confidence scores. Confidence values are also available for each habitat descriptor and input data layer. It is important to note that a habitat type confidence score is only relevant to that particular level of the classification system. For example, a cell of A3.1 high energy infralittoral rock with ‘low’ energy class confidence, ‘moderate’ biozone confidence and ‘high’ substrate type confidence would have an overall ‘low’ confidence. However, moving up the hierarchy to EUNIS level two (A3 infralittoral rock) removes the energy class; therefore, the confidence of the EUNIS level two habitat type would only consider the ‘moderate’ biozone confidence and ‘high’ substrate type confidence, resulting in an overall ‘moderate’ confidence. For details on methodology see: Populus J. And Vasquez M. (Eds), 2017. EUSeaMap, a European broad-scale seabed habitat map. Ifremer Available from: http://archimer.ifremer.fr/doc/00388/49975/

The map sheet: 1. Carte des principaux groupements de macrophytes benthiques du lagon sud-ouest de Nouvelle Calédonie. Scale of 1:4 000 000 to 1:250 000. Date of publication: unknown.

REGIS stands for REgionaal Geohydrologisch InformatieSysteem, which is the National hydro-geological model for the Netherlands. Version II.1 is an extension and revision of the hydro-geological model version II.0 (REGIS II). REGIS has been developed by TNO, the Geological Survey of the Netherlands in cooperation with RIZA (the national water office) and the Provincial authorities. The hydro-geological model is a digital model of the upper part of the Dutch subsurface to a depth of approximately 500 meters. Using ESRI grids and shapefiles, the model shows the depth, thickness and hydraulic properties of hydro-geological units as well as the location of faults. A hydro-geological unit is a unit defined using texture, structure and soil type having (more or less) uniform hydrogeological properties bounded by facies-layers, erosion boundaries and faults. The hydrogeological model is based on the Digital Geological Model (DGM) and the shallow subsurface lithostratigraphical Nomenclature version 1.0 which is available through www.dinoloket.nl

REGIS stands for REgionaal Geohydrologisch InformatieSysteem, which is the National hydro-geological model for the Netherlands. Version II.1 is an extension and revision of the hydro-geological model version II.0 (REGIS II). REGIS has been developed by TNO, the Geological Survey of the Netherlands in cooperation with RIZA (the national water office) and the Provincial authorities. The hydro-geological model is a digital model of the upper part of the Dutch subsurface to a depth of approximately 500 meters. Using ESRI grids and shapefiles, the model shows the depth, thickness and hydraulic properties of hydro-geological units as well as the location of faults. A hydro-geological unit is a unit defined using texture, structure and soil type having (more or less) uniform hydrogeological properties bounded by facies-layers, erosion boundaries and faults. The hydrogeological model is based on the Digital Geological Model (DGM) and the shallow subsurface lithostratigraphical Nomenclature version 1.0 which is available through www.dinoloket.nl

REGIS stands for REgionaal Geohydrologisch InformatieSysteem, which is the National hydro-geological model for the Netherlands. Version II.1 is an extension and revision of the hydro-geological model version II.0 (REGIS II). REGIS has been developed by TNO, the Geological Survey of the Netherlands in cooperation with RIZA (the national water office) and the Provincial authorities. The hydro-geological model is a digital model of the upper part of the Dutch subsurface to a depth of approximately 500 meters. Using ESRI grids and shapefiles, the model shows the depth, thickness and hydraulic properties of hydro-geological units as well as the location of faults. A hydro-geological unit is a unit defined using texture, structure and soil type having (more or less) uniform hydrogeological properties bounded by facies-layers, erosion boundaries and faults. The hydrogeological model is based on the Digital Geological Model (DGM) and the shallow subsurface lithostratigraphical Nomenclature version 1.0 which is available through www.dinoloket.nl