Keyword

Biota

271 record(s)

 

Provided by

Type of resources

Available actions

Topics

Keywords

Contact for the resource

Update frequencies

Service types

From 1 - 10 / 271
  • Standorte der Gehegewildhalter im Landkreis Diepholz

  • Standorte der Schafhalter im Landkreis Diepholz

  • 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.

  • 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.

  • The density classes of harbour porpoises are shown seasonally in a grid of 6 minutes of latitude x 10 minutes of longitude.

  • Spatial and temporal distribution of noise emissions due to pile driving during the foundation of wind turbines in offshore projects in the German Exclusive Economic Zone EEZ. Source of data: MarinEARS Noise Registry (Marine Explorer and Registry of Sound); visit https://marinears.bsh.de Description of data: Start and end date of the construction phase with noise emissions due to pile driving during the foundation of wind turbines, per area of offshore wind farm visualized by coloration.

  • The BOREAS TE-20 team collected several data sets for use in developing and testing models of forest ecosystem dynamics. This data set contains measurements of site characteristics conducted in the SSA from 18-Jul-1994 to 30-Jul-1994. [ This document was provided by NASA's Global Change Master Directory. For more information on the source of this metadata please visit http://gcmd.nasa.gov/r/geoss/[GCMD]BOREAS_TE20SITE ]

  • Productivity of old, unlogged stands of southern Appalachian cove forest was studied and compared to young stands. Tree growth increments and allometric relationships were the basis for estimation of NPP. Measurements of tree diameter at 1.37 m above ground were made at the beginning the study. Radial increment cores were taken from a subset of trees. Above-ground net primary production (ANPP) was estimated using regional species-specific allometric relationships for tree mass. Estimation procedures were outlined by Busing et al. (1993).Old stands of mixed deciduous (and mixed deciduous-Tsuga) were selected for their gentle terrain, accessibility and history of study. From 1988 to 1992, seven old-growth stands were sampled with plots (0.6-1.0 ha each). The total area of old-growth forest sampled was 5.4 ha. Radial increments over the previous decade were used to provide estimates of tree diameter growth. Young stands, dominated by the deciduous species Liriodendron tulipifera, provided comparative information.The climate is perhumid mesothermal with seasonal temperature variation, but precipitation is distributed throughout the year. The Gatlinburg SW, Tennessee station mean annual temperature is 13.2 degrees centigrade. Mean annual precipitation is 141 cm. Detailed long-term climate data for this station are available from the Southeast Regional Climate Center (http://www.dnr.state.sc.us/climate/sercc/). The Gatlinburg SW station is at 445 m asl, whereas the study sites are at elevations from 720 to 1140 m. The Alum Cave Bluffs Parking Area station at 1173 m asl is more representative of the study sites, but long-term data are not readily available. Shanks (1954), Stephens (1969), and Busing et al. (2005) have documented the 1947-1950 data from this station (http://water.usgs.gov/pubs/ds/2005/115/). Mean annual temperature is 9.9 degrees centigrade. Mean annual precipitation is 200 cm. Estimates of annual ANPP for stands of various ages ranged from 6 to 13 Mg/ha. Stand biomass of the old stands was high for temperate deciduous forests (>300 Mg/ha above ground); however, ANPP was average (6-10 Mg/ha/yr) and tended to be lower than that of young stands (12-13 Mg/ha/yr) on similar sites. [ This document was provided by NASA's Global Change Master Directory. For more information on the source of this metadata please visit http://gcmd.nasa.gov/r/geoss/[GCMD]npp_gsm ]

Barrierefreiheit | Datenschutz | Impressum