Description: Spatial distribution of selected macrozoobenthic species in the German Bight. Data source: Data from environmental impact assessments (EIA) under the permit procedures of the Federal Maritime and Hydrographic Agency (BSH) in the North Sea EEZ and research data of the Alfred Wegener Institute (AWI), Helmholtz Centre for Polar and Marine Research; time period: 1997 to 2011, mainly spring and autumn data (EIA data), but also summer and winter data (AWI data) Sampling standards: Data of EIAs follow the standard investigation concept StUK 1-3 (BSH 2007), AWI data collected in accordance with the ICES sampling standard (Rumohr 1999). Sampling gears: mainly van Veen grabs (0.1 square metre, 30-95 kg), few stations by box corer (0.1 square metre, 160 kg), Nephrops norvegicus and Goneplax rhomboides sampled by beam trawl and dredge (1-3 m width) Sampling: 1-3 replicates per station, fixation in 4 % buffered formalin seawater solution, dredge and beam-trawl data recorded on board or subsamples frozen stored, abundance and biomass (g wet weight) per species Data analysis: science information system of benthic invertebrate data, examination of quality and plausibility, data harmonisation, product computation by AWI Product description: Grid: 5x5 km² for grab data, 10x10 square kilometre for data on N. norvegicus and G. rhomboides from beam trawl and dredge hauls; available selectable parameter: number of stations, minimum, maximum, mean, median and standard deviation of density (m-2) per species; classification method: natural jenks (Jenks Caspall algorithm), Note: The products contain a different classification of species density! Note: Please regard different value ranges! Rumohr, H. (1999). "Soft bottom macrofauna: Collection, treatment, and quality assurance of samples." ICES Techniques in Environmental Sciences, No. 27: 1-19. BSH (2007): Standard "Investigation of the Impacts of Offshore Wind Turbines on the Marine Environment (StUK 3)", Hamburg. For more information, please visit: https://gdi.bsh.de/en/data/Benthos-Density_Information_Benthos_Dichte_DE.pdf

In this service, information on underwater obstacles is presented, which is available in the "Deutsches Unterwasserhindernisauskunftssystem" (DUWHAS) of the BSH. The data are displayed according to the symbolisation of the international nautical charts (INT 1).

In this service, information on underwater obstacles is presented, which is available in the "Deutsches Unterwasserhindernisauskunftssystem" (DUWHAS) of the BSH. The data are displayed according to the symbolisation of the international nautical charts (INT 1).

Description: Spatial and seasonal distributions of selected species of seabirds in the German Bight. Data source: TOPAS-Windobs Datenbank + TOPAS-FTZobs Datenbank. These are data from Environmental Impact Assessments (EIS) and monitoring studies under the permit procedures of BSH in the North Sea EEZ and research data of the FTZ. Data collection: Ship-based and aircraft-based transect counts. The basis of all ship-based seabird counts is the standardized method described by Tasker et al. (1984) and Garthe et al. (2002). Following this method, seabirds within a transect strip of known length and width were recorded. Thus the number of birds per area (density) can be calculated. Seabird counts from aircrafts are described in Diederichs et al. (2002). It is also a transect based method. Time periods: Ship: June 2000 to Aug. 2013, aircraft: March 2002 to June 2013. Data analysis: Based on all survey years; for each species (or species group) and each species-specific season the mean density [individuals/km²] per raster cell is calculated as "the sum of the counted seabirds divided by the sum of the survey effort inside the raster cell". Species specific correction factors were used for the calculation of the density (Garthe et al. 2007, 2009; Markones and Garthe 2012). For divers separate correction factors were calculated for each single data collection team and then combined into a weighted average. Product description: Vector raster with "3 km x 5 km" raster cells (EPSG 3035). WMS: classification by mean density (5 ranges), visualization by graduated symbols. Bibliography see: ftp://ftp.bsh.de/outgoing/gdi-bsh/public/M/M5/docs/Seebirds_density_bibliography.htm

Description: Spatial distribution of selected macrozoobenthic species in the German Bight. Data source: Data from environmental impact assessments (EIA) under the permit procedures of the Federal Maritime and Hydrographic Agency (BSH) in the North Sea EEZ and research data of the Alfred Wegener Institute (AWI), Helmholtz Centre for Polar and Marine Research; time period: 1997 to 2011, mainly spring and autumn data (EIA data), but also summer and winter data (AWI data) Sampling standards: Data of EIAs follow the standard investigation concept StUK 1-3 (BSH 2007), AWI data collected in accordance with the ICES sampling standard (Rumohr 1999). Sampling gears: mainly van Veen grabs (0.1 square metre, 30-95 kg), few stations by box corer (0.1 square metre, 160 kg), Nephrops norvegicus and Goneplax rhomboides sampled by beam trawl and dredge (1-3 m width) Sampling: 1-3 replicates per station, fixation in 4 % buffered formalin seawater solution, dredge and beam-trawl data recorded on board or subsamples frozen stored, abundance and biomass (g wet weight) per species Data analysis: science information system of benthic invertebrate data, examination of quality and plausibility, data harmonisation, product computation by AWI Product description: Grid: 5x5 km² for grab data, 10x10 square kilometre for data on N. norvegicus and G. rhomboides from beam trawl and dredge hauls; available selectable parameter: number of stations, minimum, maximum, mean, median and standard deviation of density (m-2) per species; classification method: natural jenks (Jenks Caspall algorithm), Note: The products contain a different classification of species density! Note: Please regard different value ranges! Rumohr, H. (1999). "Soft bottom macrofauna: Collection, treatment, and quality assurance of samples." ICES Techniques in Environmental Sciences, No. 27: 1-19. BSH (2007): Standard "Investigation of the Impacts of Offshore Wind Turbines on the Marine Environment (StUK 3)", Hamburg. For more information, please visit: https://gdi.bsh.de/en/data/Benthos-Density_Information_Benthos_Dichte_DE.pdf

Description: Spatial and seasonal distributions of selected species of seabirds in the German Bight. Data source: TOPAS-Windobs Datenbank + TOPAS-FTZobs Datenbank. These are data from Environmental Impact Assessments (EIS) and monitoring studies under the permit procedures of BSH in the North Sea EEZ and research data of the FTZ. Data collection: Ship-based and aircraft-based transect counts. The basis of all ship-based seabird counts is the standardized method described by Tasker et al. (1984) and Garthe et al. (2002). Following this method, seabirds within a transect strip of known length and width were recorded. Thus the number of birds per area (density) can be calculated. Seabird counts from aircrafts are described in Diederichs et al. (2002). It is also a transect based method. Time periods: Ship: June 2000 to Aug. 2013, aircraft: March 2002 to June 2013. Data analysis: Based on all survey years; for each species (or species group) and each species-specific season the mean density [individuals/km²] per raster cell is calculated as "the sum of the counted seabirds divided by the sum of the survey effort inside the raster cell". Species specific correction factors were used for the calculation of the density (Garthe et al. 2007, 2009; Markones and Garthe 2012). For divers separate correction factors were calculated for each single data collection team and then combined into a weighted average. Product description: Vector raster with "10 km x 10 km" raster cells (EPSG 3035). WMS: classification by mean density (5 ranges), visualization by graduated symbols. Bibliography see: ftp://ftp.bsh.de/outgoing/gdi-bsh/public/M/M5/docs/Seebirds_density_bibliography.htm

Description: Spatial and seasonal distributions of selected species of seabirds in the German Bight. Data source: TOPAS-Windobs Datenbank + TOPAS-FTZobs Datenbank. These are data from Environmental Impact Assessments (EIS) and monitoring studies under the permit procedures of BSH in the North Sea EEZ and research data of the FTZ. Data collection: Ship-based and aircraft-based transect counts. The basis of all ship-based seabird counts is the standardized method described by Tasker et al. (1984) and Garthe et al. (2002). Following this method, seabirds within a transect strip of known length and width were recorded. Thus the number of birds per area (density) can be calculated. Seabird counts from aircrafts are described in Diederichs et al. (2002). It is also a transect based method. Time periods: Ship: June 2000 to Aug. 2013, aircraft: March 2002 to June 2013. Data analysis: Based on all survey years; for each species (or species group) and each species-specific season the mean density [individuals/km²] per raster cell is calculated as "the sum of the counted seabirds divided by the sum of the survey effort inside the raster cell". Species specific correction factors were used for the calculation of the density (Garthe et al. 2007, 2009; Markones and Garthe 2012). For divers separate correction factors were calculated for each single data collection team and then combined into a weighted average. Product description: Vector raster with "10 km x 10 km" raster cells (EPSG 3035). WMS: classification by mean density (5 ranges), visualization by graduated symbols. Bibliography see: ftp://ftp.bsh.de/outgoing/gdi-bsh/public/M/M5/docs/Seebirds_density_bibliography.htm

Description: Spatial and seasonal distributions of selected species of seabirds in the German Bight. Data source: TOPAS-Windobs Datenbank + TOPAS-FTZobs Datenbank. These are data from Environmental Impact Assessments (EIS) and monitoring studies under the permit procedures of BSH in the North Sea EEZ and research data of the FTZ. Data collection: Ship-based and aircraft-based transect counts. The basis of all ship-based seabird counts is the standardized method described by Tasker et al. (1984) and Garthe et al. (2002). Following this method, seabirds within a transect strip of known length and width were recorded. Thus the number of birds per area (density) can be calculated. Seabird counts from aircrafts are described in Diederichs et al. (2002). It is also a transect based method. Time periods: Ship: June 2000 to Aug. 2013, aircraft: March 2002 to June 2013. Data analysis: Based on all survey years; for each species (or species group) and each species-specific season the mean density [individuals/km²] per raster cell is calculated as "the sum of the counted seabirds divided by the sum of the survey effort inside the raster cell". Species specific correction factors were used for the calculation of the density (Garthe et al. 2007, 2009; Markones and Garthe 2012). For divers separate correction factors were calculated for each single data collection team and then combined into a weighted average. Product description: Vector raster with "3 km x 5 km" raster cells (EPSG 3035). WMS: classification by mean density (5 ranges), visualization by graduated symbols. Bibliography see: ftp://ftp.bsh.de/outgoing/gdi-bsh/public/M/M5/docs/Seebirds_density_bibliography.htm

In this service, information on underwater obstacles is presented, which is available in the "Deutsches Unterwasserhindernisauskunftssystem" (DUWHAS) of the BSH. The data are displayed according to the symbolisation of the international nautical charts (INT 1).