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Biota

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  • Standorte der Schafhalter im Landkreis Diepholz

  • Standorte der Gehegewildhalter im Landkreis Diepholz

  • TMAP parameter group: Counts of migratory birds (MIGB). Counts of Migratory Birds in the Wadden Sea The trilateral Monitoring and Assessment Program was established in 1994 and contains 28 chemical, biological, geological and common parameter. Analyses enable an assessment on the trilateral agreed ecological targets. Results are published as Quality status report regularly. Investigations are done with regard to the following issues of concern primarily (Kellermann, A. et al. 1994): - Effects of climate change on the morphology, - Effects of pollutant inputs (nutrients and contaminants) on processes, species and communities, - Effects of fisheries on species and communities, - Effects of recreational activities on species, - Effects of agricultural utilization on salt marsh communities. TMAP Parameter Gruppe: Counts of migratory birds (MIGB). Counts of Migratory Birds in the Wadden Sea Das 1994 zum Schutz des Wattenmeeres eingeführte Trilateral Monitoring and Assessment Program (TMAP, deutsch: Trilaterales Monitoring und Bewertungsprogramm) umfasst ein Monitoring von insgesamt 28 chemischen, biologischen, geologischen und allgemeinen Parametern. Eine Auswertung der Monitoringdaten ermöglicht eine Beurteilung des Zustandes im Wattenmeer vor dem Hintergrund der trilateral vereinbarten ökologischen Entwicklungsziele. Die Ergebnisse werden etwa alle fünf Jahre im Qualitätszustandsbericht veröffentlicht. Dabei stehen Erhebungen zu folgenden Komplexen im Vordergrund (Kellermann, A. et al. 1994): - Folgen möglicher Klimaänderungen auf Hydrologie, Morphologie und Habitate des Wattenmeeres, - Auswirkungen von Nähr- und Schadstoffeinträgen auf geochemische und biologische Prozesse sowie auf Arten und Lebensgemeinschaften des Wattenmeeres, - den Auswirkungen der Muschel- und Garnelenfischerei auf Arten und Lebensgemeinschaften, - Auswirkungen von Freizeitaktivitäten auf Arten (vor allem Vögel und marine Säuger) sowie - Auswirkungen landwirtschaftlicher Nutzung auf die Lebensgemeinschaften der Salzwiesen.

  • Description: Spatial distribution of selected demersal fish 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: 2000 to 2014, mainly spring and autumn data (EIA data), but also summer and winder data (AWI data) Sampling standards: Data of EIAs follow the standard investigation concept StUK 1-3 (BSH 2007), AWI data mainly collected in accordance with the ICES sampling standard (Rumohr 1999). Sampling gears: EIA-data with 7-8 m (partly 6 m) beam trawl (haul: 15 min), AWI-data with a 2-3 m beam trawl (haul: 5-15 min); trawling speed 3-4 kn, codend mesh size 10 mm Sampling: 1 haul per station and sampling date, data were recorded on board or subsamples were stored frozen for further analysis, analysis of abundance and biomass (kg wet weight) per species Data analysis: science information system of demersal fish data, examination of quality and plausibility, data harmonisation, product computation by AWI Product description: Grid: 10x10 km²; available selectable parameter: number of stations, minimum, maximum, mean, median and standard deviation of density (km-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! Note: Data refer exclusively to demersal fish species spectrum! Cited literature 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.

  • This product consists of global gap free Leaf area index (LAI) time series, based on MERIS full resolution Level 1B data. It is produced as a series of 10-day composites in geographic projection at 300m spatial resolution. The processing chain comprises geometric correction, radiometric correction and pixel identification, LAI calculation with the BEAM MERIS vegetation processor, re-projection to a global grid, and temporal aggregation selecting the measurement closest to the mean value. After the LAI pre-processing we applied time series analysis to fill data gaps and filter outliers using the technique of harmonic analysis in combination with mean annual and multiannual phenological data. Data gaps are caused by clouds, sensor limitations due to the solar zenith angle (less than 10 degrees), topography and intermittent data reception. We applied our technique for the whole period of observation (Jul 2002 - Mar 2012). Validation, was performed using VALERI and BigFoot data.

  • The density classes of harbour porpoises (average number of sighted individuals per km²) are shown seasonally in a grid of 6 minutes of latitude x 10 minutes of longitude.

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