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  • Areas of high riverine inputs for EUSeaMap 2019 Biological zone model. The map cover the Adriatic Sea (Po river plume), east Mediterranean (Thessaloniki gulf and bay, the Maliakos gulf, and Geras gulf in the Aegean Sea) and the Black Sea (Dnieper-Bug river plume area). These were handled separately in the modelling process. This layer is one of several habitat descriptors used to model biological zone and habitat class. To establish the limit of these areas datasets on salinity and water temperature were used, where possible. Detailed information on the modelling process for the 2016 is found in the EMODnet Seabed Habitats technical report and its appendices (Populus et al, 2017, link in Resources). We are working on an updated report for the 2019 version.

  • Confidence in kinetic energy due to current 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

  • The Regional DataBase, RDG, is a database and estimation system where countries upload catch and sample data for commercial fish species requested in Regional Coordination Groups' Data Call for coordination of sampling of commercial fish species. To upload data, work on data, raise/estimate data and to download data require a password.

  • 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

  • Interim draft habitat output of the EUSeaMap2 (2015) Norwegian Seas broad-scale predictive model, produced by EMODnet Seabed Habitats. The map was produced using a "top-down" modelling approach using the following input datasets: 1. Seabed Substrate (EMODnet Geology) 2. Bathymetry (EMODnet Bathymetry) 3. Light at the Seabed 4. Wave Base (modeled) 5. Biogeographic zone (modelled) 6. Wave energy (modelled) 7. Current energy (modelled) The model, produced in Arc Model Builder (10.1), uses datasets 2 to 5 to determine biological zone, which in combination with seabed substrate and energy data can be used to predict the physical habitat at any one location. The study followed the methodology developped within the EUSeaMap 1 project. For more details about this methodology see documents such as the EUSeaMap 1 final report (Cameron and Askew, 2011), Coltman et al., 2008, or Vasquez et al., 2015 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, supplemented by additional categories in deep sea areas and in areas lacking full data. References: Cameron, A., Askew, N. (eds.), 2011. EUSeaMap - Preparatory Action for development and assessment of a European broad-scale seabed habitat map final report. URL: http://jncc.gov.uk/euseamap Coltman, N., Golding, N., Verling, E., 2008. Developing a broadscale predictive EUNIS habitat map for the MESH study area. 16 pp. URL: http://www.searchmesh.net/pdf/MESH%20EUNIS%20model.pdf Vasquez, M., Mata Chacón, D., Tempera, F., O’Keeffe, E., Galparsoro, I., Sanz Alonso, J.L., Gonçalves, J.M.S., Bentes, L., Amorim, P., Henriques, V., McGrath, F., Monteiro, P., Mendes, B., Freitas, R., Martins, R., Populus, J., 2015. Broad-scale mapping of seafloor habitats in the north-east Atlantic using existing environmental data. Journal of Sea Research, MeshAtlantic: Mapping Atlantic Area Seabed Habitats for Better Marine Management 100, 120–132. doi:10.1016/j.seares.2014.09.011

  • Interim draft habitat output of the EUSeaMap2 (2015) Atlantic Seas broad-scale predictive model, produced by EMODnet Seabed Habitats. The map was produced using a "top-down" modelling approach using the following input datasets: 1. Seabed Substrate (EMODnet Geology & alternative sources) 2. Bathymetry (EMODnet Bathymetry) 3. Light at the Seabed 4. Wave Base (modeled) 5. Wave energy (modelled) 6. Current energy (modelled) The model, produced in Arc Model Builder (10.1), uses datasets 2 to 4 to determine biological zone, which in combination with seabed substrate and energy data can be used to predict the physical habitat at any one location. The study followed the methodology developped within the EUSeaMap 1 project. For more details about this methodology see documents such as the EUSeaMap 1 final report (Cameron and Askew, 2011), Coltman et al., 2008, or Vasquez et al., 2015 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, supplemented by additional categories in deep sea areas and in areas lacking full data. References: Cameron, A., Askew, N. (eds.), 2011. EUSeaMap - Preparatory Action for development and assessment of a European broad-scale seabed habitat map final report. URL: http://jncc.gov.uk/euseamap Coltman, N., Golding, N., Verling, E., 2008. Developing a broadscale predictive EUNIS habitat map for the MESH study area. 16 pp. URL: http://www.searchmesh.net/pdf/MESH%20EUNIS%20model.pdf Vasquez, M., Mata Chacón, D., Tempera, F., O’Keeffe, E., Galparsoro, I., Sanz Alonso, J.L., Gonçalves, J.M.S., Bentes, L., Amorim, P., Henriques, V., McGrath, F., Monteiro, P., Mendes, B., Freitas, R., Martins, R., Populus, J., 2015. Broad-scale mapping of seafloor habitats in the north-east Atlantic using existing environmental data. Journal of Sea Research, MeshAtlantic: Mapping Atlantic Area Seabed Habitats for Better Marine Management 100, 120–132. doi:10.1016/j.seares.2014.09.011

  • 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/

  • Interim draft habitat output of the EUSeaMap2 (2015) Baltic Sea broad-scale predictive model, produced by EMODnet Seabed Habitats. The map was produced using a "top-down" modelling approach using the following input datasets: 1. Seabed Substrate (EMODnet Geology) 2. Bathymetry (EMODnet Bathymetry) 3. Light at the Seabed 4. Wave Base (modeled) 5. Biogeographic zone (modelled) 6. Wave energy (modelled) 7. Current energy (modelled) The model, produced in Arc Model Builder (10.1), uses datasets 2 to 5 to determine biological zone, which in combination with seabed substrate and energy data can be used to predict the physical habitat at any one location. In addition, data on salinity at seabed was included in the model, but was not used to determine the final EUNIS habitat class. The study followed the methodology developped within the EUSeaMap 1 project. For more details about this methodology see documents such as the EUSeaMap 1 final report (Cameron and Askew, 2011), Coltman et al., 2008, or Vasquez et al., 2015 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, supplemented by additional categories in deep sea areas and in areas lacking full data. References: Cameron, A., Askew, N. (eds.), 2011. EUSeaMap - Preparatory Action for development and assessment of a European broad-scale seabed habitat map final report. URL: http://jncc.gov.uk/euseamap Coltman, N., Golding, N., Verling, E., 2008. Developing a broadscale predictive EUNIS habitat map for the MESH study area. 16 pp. URL: http://www.searchmesh.net/pdf/MESH%20EUNIS%20model.pdf Vasquez, M., Mata Chacón, D., Tempera, F., O’Keeffe, E., Galparsoro, I., Sanz Alonso, J.L., Gonçalves, J.M.S., Bentes, L., Amorim, P., Henriques, V., McGrath, F., Monteiro, P., Mendes, B., Freitas, R., Martins, R., Populus, J., 2015. Broad-scale mapping of seafloor habitats in the north-east Atlantic using existing environmental data. Journal of Sea Research, MeshAtlantic: Mapping Atlantic Area Seabed Habitats for Better Marine Management 100, 120–132. doi:10.1016/j.seares.2014.09.011

  • Oxygen regime class layer in the Black Sea produced by EMODnet Seabed Habitats as an input layer for the 2019 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 for the 2016 is found in the EMODnet Seabed Habitats technical report and its appendices (Populus et al, 2017, link in Resources). We are working on an updated report for the 2019 version.

  • Confidence in the depth to seabed, 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 EMODnet Bathymetry project was the source of the depth to the seabed dataset (a digital elevation model (DEM). The project also produced a ‘quality indicator’ based on data relative age, relative sampling effort and number of soundings. The quality indicator scores were categorised into "high", "moderate" and "low" confidence. Detailed information on the confidence assessment is in Populus J. et al 2017. EUSeaMap, a European broad-scale seabed habitat map. Ifremer. http://doi.org/10.13155/49975