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WFS - Hintergrundwerte von Böden

Der WFS-Dienst Hintergrundwerte von Böden liefert die beiden Layer "Hintergrundwerte Anorganik" und "Hintergrundwerte Organik". Der erste Layer "Hintergrundwerte Anorganik" enthält die aggregierten Leitsubstrate der Bodenbildung. Die Leitsubstrate dienen zur Zusammenfassung der Böden nach ihrem Ausgangsgestein bei der Berechnung von Hintergrundwerten für anorganische Stoffe. Für die Auswertung der Hintergrundwerte Anorganik wurden Analysedaten für 16 Elemente von ca. 19.000 Standorten mit bis zu 40.000 Proben aus dem Fachinformationssystem Boden herangezogen. Der zweite Layer "Hintergrundwerte Organik" basiert auf der Karte der Raumkategorien für den Landesentwicklungsplan (LEP) von 2013. Dieser teilt Sachsen in drei Raumkategorien ein, welche die Grundage für die Berechnung von Hintergrundwerten für organische Stoffe bilden. Die Leitsubstrate dienen zur Zusammenfassung der Böden. Für die Auswertung der Hintergrundwerte wurden je nach Stoff Analysedaten aus dem Fachinformationssystem Boden von bis zu 2.300 Proben an 2.200 Standorten für 10 Einzelstoffe bzw. Stoffgruppen herangezogen.

Grundwassermessstelle DEGM_DEMV_25360014: Möderitz

Stammdaten und Analysedaten zu den Grundwassermessstellen im EUA-Messnetz: Messtelle DEGM_DEMV_25360014 (Möderitz)

GTS Bulletin: FTDL40 EDZW - Forecast (details are described in the abstract)

The FTDL40 TTAAii Data Designators decode as: T1 (F): Forecast T1T2 (FT): Aerodrome (VT >= 12 hours) A1A2 (DL): Germany (The bulletin collects reports from stations: EDOP;SCHWERIN PARCHIM ;EDDC;DRESDEN ;EDDB;BERLIN-Brandenburg INT ;EDDV;HANNOVER ;EDDW;BREMEN ;EDFH;FRANKFURT-HAHN ;EDDR;SAARBRUECKEN ;EDDS;STUTTGART ;EDDT;BERLIN-TEGEL INT ;EDDM;MUNICH INT ;EDDN;NUERNBERG;EDDP;LEIPZIG HALLE ;EDDK;COLOGNE BONN ;EDDL;DUESSELDORF INT ;EDDE;ERFURT ;EDDF;FRANKFURT AM MAIN INT ;EDDG;MUENSTER OSNABRUECK ;EDDH;HAMBURG ;)

Towards pollen accumulation rates as a measure of plant abundance a case study in NE-Germany

The aim of my study is to calibrate PAR from small lakes against tree biomass, which can be used to achieve quantitative estimates of biomass in the past. Furthermore, the relation between pollen percentages and plant abundance will also be investigated. As study area, the state Brandenburg was chosen, because it has a large number of lakes and is covered by different plant communities, like conifer forest, mixed forest, deciduous forest and open land. These are situated on a range of soil types in a terrain with little altitudinal differences. Lakes in different types of landscape were selected. They were of almost uniform size, mostly ranging from 100-300 m in diameter and without inflow and outflow. Deeper lakes in proportion to the lake size were preferred, to avoid lakes with a high pollen redeposition. In order to have an effective fieldwork and to get the broadest possible data spectrum for modeling, the relevant pollen source area of pollen (Sugita, 1994) was estimated, based on the map CORINE. The calculation shows that the pollen source area is approximately 5-6 km. However, we also sampled lakes which are situated closer together, especially when the landscape structure was very heterogenic at the small scale. From the surface samples of 50 lakes, the pollen percentages of different taxa will be compared with the information from the forest inventory data for different distances around the lakes to evaluate theoretical considerations of pollen source area. These data are available at the data base Datenspeicher Wald, which contains information about cover, age and biomass for the different tree species. This information was collected during the time of the German Democratic Republic (DDR) and is in the most continued. Concurrently, 15 of the short cores are selected for dating by 210Pb. PAR will be calculated based on the sedimentation rates obtained for these cores, so that PAR can be compared to tree biomass for different time slices over the past 50 years.

Moderne Seespiegelschwankungen des Lake Abaya, Süd-Äthiopien - Die Analyse eines Process-Response-Systems im Wirkungsfeld zwischen Human Impact und natürlichen Wasserhaushaltsschwankungen

Gegenstand des Forschungsvorhabens sind die modernen Seespiegelschwankungen des Lake Abaya, eines Rift-Valleys-Sees im südlichen Äthiopien und die Erfassung des hierfür verantwortlichen Ursachengefüges. Die Seespiegelstände des Lake Abaya unterliegen seit 1989 einem kontinuierlichem Anstieg, während in demselben Zeitraum die jährlichen Abflussmengen der Tributäre abnehmen. Der natürliche Wasserhaushalt wird durch den seit Anfang der 70er Jahre des 20. Jahrhunderts kontinuierlich zunehmenden Bevölkerungsdruck und der damit einhergehenden Intensivierung der Landnutzung und der hieraus resultierenden drastischen Zunahme der Bodenerosion überprägt. Die raum-zeitliche Bewertung der Abflussbildungs- und Erosionsprozesse im Einzugsgebiet erfordert zunächst die Bilanzierung des Sedimentationsverhaltens, vorgenommen mit Hilfe sedimentologischer Analyse von Delta- und Schwemmfächerablagerungen. Die Datierung dieser sehr jungen Sedimente erfolgt mit Hilfe der Analyse der radioaktiven Isotope 137Cs und 210Pb. Gleichzeitig soll anhand des organischen Pollutants DDT und seiner metabolisierten Abbauprodukte DDE und DDD eine alternative Möglichkeit der Altersdatierung dieser sehr jungen Sedimente überprüft werden. Der sich in Raum und Zeit verändernde Einfluss des Menschen auf den Landschaftshaushalt wird für den Zeitraum ab 1981 über die Veränderungen des Vegetationsbedeckungsgrades (NVDI) auf der Grundlage von NOAA-AVHRR Bilddaten erfasst. Durch Einbeziehung von Zensusdaten dienen die NDVI-Daten dann als Grundlage einer räumlichen Gewichtung des Landnutzungsverhaltens. Die Verknüpfung dieser Datenreihen mit den Analysen des aktuellen Wasser- und Schwebstoffhaushaltes unter Einbeziehung der Klimamessreihen erlaubt schließlich die Modellierung des Wasser- und Schwebstoffhaushaltes für die letzten 20 Jahre des 20. Jahrhunderts. Unter Einbeziehung der Ergebnisse der Sedimentanalyse in diese Modellierungsansätze sollen so schließlich für das 20. Jahrhundert der Wasserhaushalt, der Schwebstoffhaushalt und die Bodenerosionsgefährdung in Raum und Zeit modelliert werden.

Grundwassermessstelle DEGM_DEMV_16450006: Poseritz UP

Stammdaten und Analysedaten zu den Grundwassermessstellen im EUA-Messnetz: Messtelle DEGM_DEMV_16450006 (Poseritz UP)

Mean Deep Ocean volume-weighted stacks

Mean Deep Ocean stacked records weighted by ocean basin volume are also provided for: benthic δ18O, MDOT and δ18Oseawater and compiled from records described for the non-weighted stacks. The weighted stacks were created using basin weights defined using fixed deep ocean volume fractions following the volumetric approach of Lisiecki and Stern (2016) (see their Table S2), and renormalised to unity at each time step to reflect the ocean volume represented by the available records.

Atlantic, Pacific and Mean Deep Ocean temperature and δ¹⁸Oseawater stacks

Stacked deep-water (>2500m) deconvolved benthic Mg/Ca–δ18O records spanning the past 1.5 Myr for: the North Atlantic comprising IODP Site U1385 [Uvigerina peregrina and Globobulimina affinis] and DSDP Site 607 [Cibicidoides wuellerstorfi, Oridorsalis umbonatus, and Uvigerina spp.] (Sosdian and Rosenthal, 2009; Ford et al., 2016); the Pacific incorporating ODP Sites 1123 [Uvigerina spp.] (Elderfield et al., 2012) and Site 1208 [Uvigerina spp.] (Ford and Raymo, 2020); and, Mean Deep Oceans including all of the above plus ODP Site 1094 [Melonis pompilioides] (Hasenfratz et al., 2019). To investigate changes in abyssal ocean density stratification across the Middle Pleistocene Transition estimates of deep-water temperature and δ18Oseawater were generated with error propagation using PSU Solver in MATLAB (Thirumalai, Quinn and Marino, 2016). PSU Solver-derived δ18O, temperature and δ18Oseawater records for each site were interpolated on a 3 kyr interval and bootstrapped. Stacks were manually created by first identifying gaps in each site's original data and then averaging the means and errors across each age interval.

In-situ soil moisture and -temperature time series measurements during SwabianMOSES campaign 2023

As part of the hydro-meteorological measurement campaign SwabianMOSES 2023 time-domain transmission soil moisture sensors and temperature sensors with custom-made logger systems were used to measure time series of these soil state variables. The aim of these investigations was to provide data on physical soil properties used in a cross-disciplinary approach for a better understanding of hydro-meteorological extremes (such as high precipitation events and droughts). Each measurement site consisted of sensors at three depths with two sensors each. Logger systems were installed at six different observation sites which were distributed across the whole campaign target area in the vicinity of the Swabian Jura in Germany. Decisions on the specific installation depths were made during the installation at the respective sites based on the constitution of the local soil profiles. Installation protocols with a brief soil profile description and photos are part of this dataset. The dataset contains the values of location and time (UTC), soil temperature (in °C), relative permittivity and soil moisture (in % vol) derived from permittivity. Determination of soil moisture was done using the formula of Topp et al. (1980). As sensors, the SMT100 soil moisture sensor with integrated temperature measurement were used. All sensors were installed within the upper 50cm below ground. The exact depths for each sensor are listed in the comments.

In-situ soil moisture and -temperature time series, point measurements and cosmic-ray neutron rover surveys during SwabianMOSES campaign 2023

As part of the hydro-meteorological measurement campaign SwabianMOSES 2023 time-domain transmission (TDT) soil moisture sensors and temperature sensors with custom-made logger systems were used to measure time series of these soil state variables. In addition, a stationary cosmic-ray neutron sensor was deployed at the KITcube site near Villingen-Schwenningen to provide continuous soil moisture data for an area of between 10 and 20 hectares. For mapping the spatial distribution of soil moisture, several mobile CRNS campaigns have been conducted with a car across the Lindach catchment and beyond before and after prospective rain events. During these mobile CRNS measurements, in-situ soil moisture measurements were conducted, using a handheld time-domain reflectometry soil moisture sensor. The aim of these investigations was to provide data on physical soil properties used in a cross-disciplinary approach for a better understanding of hydro-meteorological extremes (such as high precipitation events and droughts). Regarding the TDT-sensors, each measurement site consisted of sensors at three depths with two sensors each. Logger systems were installed at six different observation sites which were distributed across the whole campaign target area in the vicinity of the Swabian Jura in Germany. Decisions on the specific installation depths were made during the installation at the respective sites based on the constitution of the local soil profiles. Installation protocols with a brief soil profile description and photos are part of this dataset. The dataset contains the values of location and time (UTC), soil temperature (in °C), relative permittivity and soil moisture (in % vol) derived from permittivity. Determination of soil moisture was done using the formula of Topp et al. (1980). As sensors, the SMT100 soil moisture sensor with integrated temperature measurement were used. All sensors were installed within the upper 50cm below ground. The exact depths for each sensor are listed in the comments.

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