Die dargestellten Gebiete bilden die Schwerpunktvorkommen der Zielarten des Wiesenvogelschutzprogramms (Uferschnepfe, Kiebitz, Brachvogel, Rotschenkel, Bekassine, Austernfischer, Braunkehlchen und Wachtelkönig) auf landwirtschaftlich genutzten Flächen ab. Vor dem Hintergrund der Schirmartenfunktion der ausgewählten Arten bilden sie die prioritäre Kulisse für die Umsetzung des Wiesenvogelschutzprogramms im Rahmen des Niedersächsischen Wegs. Es sind zum einen die für die ausgewählten Wiesenvogelarten wichtigen EU-Vogelschutzgebiete (EU-VSG) und zum anderen Gebiete außerhalb der EU-VSG mit noch signifikanten Brutvorkommen abgebildet. Es handelt sich dabei um keine vollständige Verbreitungskarte, da nicht sämtliche Vorkommen aller Zielarten abgedeckt sind. Brutvorkommen auf Flächen außerhalb landwirtschaftlicher Nutzung (Moore, Heiden, Salzwiesen, Truppenübungsplätze) sind hier nicht dargestellt. Die Identifizierung der Landnutzung erfolgte auf Basis der Daten aus ATKIS-DLM (2017) sowie auf Basis der landwirtschaftlichen Feldblöcke (SLA, 2021).Die Darstellung differenziert nach Besiedlung durch die Zielarten (Brutvorkommen Limikolen - Brutvorkommen Braunkehlchen - Vorkommen von Limikolen und Braunkehlchen). Die landesweit wichtigsten Brutvorkommen der Zielart Wachtelkönig werden dadurch mit abgedeckt und werden nicht gesondert dargestellt.
Für das Projekt werden insbesondere stenöke oder chorologisch bedeutsame Arten ausgewählt. Bis jetzt sind Verbreitungskarten für über 220 Pilzarten publiziert worden. Ziel ist ein deutschlandweites Bestandsmonitoring für Pilze mit starker standörtlicher oder ökologischer Bindung (Bioindikationsfunktion) und eine Klassifizierung von Verbreitungstypen mitteleuropäischer Pilze.
This brochure summarizes the revised empirical critical loads for N compared to 2011. 40 % of ecosystems react more sensitively to N than previously assumed. The ecosystems studied have been visualized to make them easier to understand. Two maps show the distribution of natural and semi-natural ecosystems on the one hand and the distribution of forest ecosystems in Europe and the neighboring countries of Eastern Europe, the Caucasus and Central Asia ( EECCA ) on the other. This brochure was developed as a low-threshold information tool for scientists, but also for politicians and the interested public in the EU and the EECCA countries. Veröffentlicht in Broschüren.
The SuK-Nord (INSPIRE) shows the geological distribution of aggregates (sand and gravel) in Northern Germany, especially north of the southernmost maximum of the Scandinavian inland ice sheet (Saalian and Elsterian glaciation). According to the Data Specifications on Mineral Resources (D2.8.III.21) and Geology (D2.8.II.4_v3.0) the content of the map is stored in two INSPIRE-compliant GML files: SuK_Nord_EarthResource_polygon.gml contains the distribution of aggreagtes (sand and gravel) as polygons. SuK_Nord_GeomorphologicFeature.gml contains the southernmost maximum of the Scandinavian inland ice sheet (Saalian and Elsterian glaciation) as lines. The GML files together with a Readme.txt file are provided in ZIP format (SuK_Nord-INSPIRE.zip). The Readme.text file (German/English) contains detailed information on the GML files content. Data transformation was proceeded by using the INSPIRE Solution Pack for FME according to the INSPIRE requirements.
Nicht-konventionelle KW (INSPIRE) presents the results of the NiKo project according to data specifications Energy Resources (D2.8.III.20) und Geology (D2.8.II.4_v3.0). NiKo stands for „unconventional hydrocarbons“, „Nicht-konventionelle Kohlenwasserstoffe“ in German. In the NiKo project the Federal Institute for Geosciences and Natural Resources (BGR) has investigated the potential resources for shale oil and shale gas in Germany. The study was published in 2016 as a report titled „Schieferöl und Schiefergas in Deutschland – Ressourcen und Umweltaspekte“ (available in German only). The colloquial terms shale oil and shale gas refer to oil and natural gas resources in sedimentary shale rock formations, with high organic matter content. In the study, seven formations were identified to have a shale oil and/or gas potential in Germany and their distribution has been mapped in small scale. For each of the formations the organic-rich facies distribution is provided and, if appropriate, the regional potential resource distribution: Fischschiefer (Oligocene), Blättertone (Barremium - Lower-Aptian), Wealden (Berriasium), Posidonienschiefer (Lower-Toarcium), Middel-Rhaetium (Oberkeuper), Permokarbon (Stefanium - Rotliegend) und Lower Carboniferous (Upper Alaunschiefer (Kulm-Facies) + Kohlenkalk-Facies). Corresponding to the overview maps in the report two GML-files for these layers are provided, omitting however the sub-category “possible potential regions”. Bituminous facies distribution (0-5000 m Tiefe) – data specification Geology: GeologicUnit.Distribution_of_bituminous_facies.gml Distribution shale oil and shale gas – potential resources (1000 - 5000 m Tiefe) – data specification Energy Resources: FossilFuelRessource_Potential_resource_regions.gml The distribution maps of the potential resources for shale oil and gas are based on geoscientific criteria. Further non-geoscientific limiting criteria, e.g. exclusion areas, have not been taken into account for the assessment. These assessments are based on appraisements of input parameters naturally with large uncertainties for the potential resources and their distribution in the deep underground. Based on the incipient exploration status of unconventionals in Germany, these resources are considered as undiscovered. The assessed shale oil and gas resources for Germany, represent the order of magnitude of potential resources. Reference: BGR 2016 - Schieferöl und Schieferöl in Deutschland- Potenziale und Umweltaspekte https://www.bgr.bund.de/DE/Themen/Energie/Downloads/Abschlussbericht_13MB_Schieferoelgaspotenzial_Deutschland_2016.html
Datensammlung zur Verbreitung bzw. Vorkommen epixyler und epipetrischer Flechten im Gebiet von Koeln und Umgebung. Langfristiges Ziel - Erstellung einer Verbreitungskarte dieser Flechten in Abhaengigkeit von Siedlungsdichte und Immissionsbelastung.
SWACI is a research project of DLR supported by the State Government of Mecklenburg-Vorpommern. Radio signals, transmitted by modern communication and navigation systems may be heavily disturbed by space weather hazards. Thus, severe temporal and spatial changes of the electron density in the ionosphere may significantly degrade the signal quality of various radio systems which even may lead to a complete loss of the signal. By providing specific space weather information, in particular now- and forecast of the ionospheric state, the accuracy and reliability of impacted communication and navigation systems shall be improved. According to the pioneer work of Sir E. Appleton the vertical structure of the terrestrial ionosphere may be divided into different layers (D, E, F1, F2) with different physical characteristics. The layers are primarily characterized by its height and peak electron density. The spatial plasma distribution is generated from actual TEC maps by applying a first version of the empirical electron density model NEDM-v1. In correspondence with the update rate of TEC maps the time resolution of the 3 D images is 5 minutes. For details see http://swaciweb.dlr.de/index.php?id=303&L=1 and http://presentations.copernicus.org/EGU2011-7324_presentation.pdf.
Ziel des Projektes ist die Dokumentation des aktuellen Vorkommens indigener und synanthroper Pflanzensippen im Gebiet Verbreitungskarten in 1/64 Messtischblattraster). Durch Vergleich der aktuellen Verbreitung der Pflanzensippen mit historischen Quellen (Lit., Herb., hist. Karten, Luftbild) soll der Florenwandel dargestellt werden.
It is well established that reduced supply of fresh organic matter, interactions of organic matter with mineral phases and spatial inaccessibility affect C stocks in subsoils. However, quantitative information required for a better understanding of the contribution of each of the different processes to C sequestration in subsoils and for improvements of subsoil C models is scarce. The same is true for the main controlling factors of the decomposition rates of soil organic matter in subsoils. Moreover, information on spatial variabilities of different properties in the subsoil is rare. The few studies available which couple near and middle infrared spectroscopy (NIRS/MIRS) with geostatistical approaches indicate a potential for the creation of spatial maps which may show hot spots with increased biological activities in the soil profile and their effects on the distribution of C contents. Objectives are (i) to determine the mean residence time of subsoil C in different fractions by applying fractionation procedures in combination with 14C measurements; (ii) to study the effects of water content, input of 13C-labelled roots and dissolved organic matter and spatial inaccessibility on C turnover in an automatic microcosm system; (iii) to determine general soil properties and soil biological and chemical characteristics using NIRS and MIRS, and (iv) to extrapolate the measured and estimated soil properties to the vertical profiles by using different spatial interpolation techniques. For the NIRS/MIRS applications, sample pretreatment (air-dried vs. freeze-dried samples) and calibration procedures (a modified partial least square (MPLS) approach vs. a genetic algorithm coupled with MPLS or PLS) will be optimized. We hypothesize that the combined application of chemical fractionation in combination with 14C measurements and the results of the incubation experiments will give the pool sizes of passive, intermediate, labile and very labile C and N and the mean residence times of labile and very labile C and N. These results will make it possible to initialize the new quantitative model to be developed by subproject PC. Additionally, we hypothesize that the sample pretreatment 'freeze-drying' will be more useful for the estimation of soil biological characteristics than air-drying. The GA-MPLS and GA-PLS approaches are expected to give better estimates of the soil characteristics than the MPLS and PLS approaches. The spatial maps for the different subsoil characteristics in combination with the spatial maps of temperature and water contents will presumably enable us to explain the spatial heterogeneity of C contents.
Nach Darstellung der Standortverhaeltnisse im Bereich der ca. 70 noch bestehenden Oberharzer Stauteiche - die zur Versorgung des Harzer Bergbaus mit Wasserkraft angelegt wurden - werden das Artengefuege und die Verbreitung ihrer Pflanzengesellschaften durch Tabellen bzw. Verbreitungskarten erlaeutert. Von einigen Teichen sind Vegetationskarten bzw. -transekte erarbeitet worden. Aspekte der Entwicklung des Teichgebietes bei Aenderung der Nutzung und Vorschlaege fuer die Erhaltung der auch aus kultur- und baugeschichtlicher Sicht wertvollen Anlagen runden die Arbeit ab.
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