"Landschaftsrahmenplanung für die Sächsische Schweiz" Natürliche und kulturgeschichtliche Grundlagen in der Sächsischen Schweiz, Heimatschutz, Natur und Landschaftsschutz, Verwaltungsgliederung, Landschaftsanalyse, Biotopkartierung, Flächenutzung, Landschaftsbelastung und Landschaftschäden, Landschaftsdiagnose und Synthese, Raumgliederung, Landschaftsprognose, Leitbilder für die Raumeinheiten, Zielkonzeption
Der interoperable INSPIRE-Datensatz beinhaltet Daten vom LBGR über die Hydrogeologische Raumgliederung Brandenburg, transformiert in das INSPIRE-Zielschema Geologie. Der Datensatz wird über je einen interoperablen Darstellungs- und Downloaddienst bereitgestellt. --- The compliant INSPIRE data set contains data about the hydrogeological spatial classification in the State of Brandenburg from the LBGR, transformed into the INSPIRE target schema Geology. The data set is provided via compliant view and download services.
Inhaltsverzeichnis des Kartenteils der ersten Gesamtfortschreibung des Regionalpla-nes für die Anhörung entsprechend Sächsisches Landesplanungsgesetz (SächsLPlG): Karte 1 Raumnutzung (1:100 000) Karte 2 Siedlungswesen (1:280 000) Karte 3 Raumstruktur (1:280 000) Karte 4 Tourismus (1:280 000) Karte 5 Landschaftsbereiche mit besonderen Nutzungsanforderungen (1:200 000) Karte 6 Sanierungsbedürftige Bereiche der Landschaft (1:200 000) Karte 7 Tierhaltungsstandorte (1:280 000) Karte 8 Bergbauumgang (1:280 000)
Inhaltsverzeichnis des Kartenteils der ersten Gesamtfortschreibung des Regionalplanes für die Anhörung entsprechend Sächsisches Landesplanungsgesetz (SächsLPlG): Karte 1 Karte "Zentrale Orte und Nahbereiche" (Erläuterungskarte) (1:400 000) Karte 2 Karte "Raumstruktur" (Festlegungskarte) (1:400 000) Karte 3 Karte "Freizeit, Erholung, Tourismus" (Erläuterungskarte) (1:200 000) Karte 4 Karte "Straßennetzausbau" (Erläuterungskarte) (1:400 000) Karte 5 Karte "Sorbisches Siedlungsgebiet" (Erläuterungskarte) (1:400 000) Karte 6 Karte "Ökologisches Verbundsystem und regionale Grünzüge" (Festlegungskarte) (1:100 000) Karte 7 Karte "Landschaftspflege, -sanierung und -entwicklung" (Festlegungskarte) (1:100 000) Karte 8 Karte "Raumnutzung" (Festlegungskarte) Kartenteil zu Anhang 4 (Fachplanerische Inhalte des Landschaftsrahmenplans) Karte "Naturräumliche Gliederung der Region" (1:400 000) Karte "Integriertes Entwicklungskonzept" (1:100 000)
Farm structures are often characterized by regional heterogeneity, agglomeration effects, sub-optimal farm sizes and income disparities. The main objective of this study is to analyze whether this is a result of path dependent structural change, what the determinants of path dependence are, and how it may be overcome. The focus is on the German dairy sector which has been highly regulated and subsidized in the past and faces severe structural deficits. The future of this sector in the process of an ongoing liberalization will be analyzed by applying theoretical concepts of path dependence and path breaking. In these regards, key issues are the actual situation, technological and market trends as well as agricultural policies. The methodology will be based on a participative use of the agent-based model AgriPoliS and participatory laboratory experiments. On the one hand, AgriPoliS will be tested as a tool for stakeholder oriented analysis of mechanisms, trends and policy effects. This part aims to analyze whether and how path dependence of structural change can be overcome on a sector level. In a second part, AgriPoliS will be extended such that human players (farmers, students) can take over the role of agents in the model. This part aims to compare human agents with computer agents in order to overcome single farm path dependence.
The product shows forest structure information on canopy height, total canopy cover and Above-ground biomass density (AGBD) in Germany as annual products in 10 m spatial resolution. The products were generated using a machine learning modelling approach that combines complementary spaceborne remote sensing sensors, namely GEDI (Global Ecosystem Dynamics Investigation; NASA; full-waveform LiDAR), Sentinel-1 (Synthetic-Aperture-Radar; ESA, C-band) and Sentinel-2 (Multispectral Instrument; ESA; VIS-NIR-SWIR). Sample estimates on forest structure from GEDI were modelled in 10 m spatial resolution as annual products based on spatio-temporal composites from Sentinel-1 and -2. The derived products are the first consistent data sets on canopy height, total canopy cover and AGBD for Germany which enable a quantitative assessment of recent forest structure dynamics, e.g. in the context of repeated drought events since 2018. The full description of the method and results can be found in the publication of Kacic et al. (2023).
Within the framework of the GEOSTOR Project, the CO2 storage potential of the Jurassic succession in the German Central Graben was analysed. Twelve potential trap structures were initially mapped along the base of the Kimmeridge Clay Formation, which serves as the primary seal for potential reservoir sandstones within the Central Graben Subgroup. The Kimmeridge Clay Formation is generally continuously distributed across the German Central Graben, with only localized penetrations by rising salt diapirs. In contrast, the Central Graben Subgroup, serving as a potential reservoir unit, exhibits an uneven distribution across the area, limiting the presence and continuity of reservoir rocks within each trap structure. To further delineate the spatial extent of the mapped reservoir structures, the base of the Central Graben Subgroup was used as an additional reference layer. Due to the intermittent nature of Jurassic sandstones within the Central Graben Subgroup, a subsequent analysis classified each structure based on borehole data to confirm the presence of reservoir sands. Structures were categorized as ‘proven,’ ‘not present,’ or ‘uncertain’ depending on sandstone availability and continuity within the trap. All mapped reservoir structures are buried at depths ranging from 2225 to 3043 meters (apex depth) and are considered closed systems, situated within a complex structural network of salt diapirs, faults, and pinch-outs. Capacity calculations were conducted following the method outlined by Fuhrmann et al. (2024), and the horizons used for mapping are based on the work of Müller et al. (2023) and Thöle et al. (2021). Fuhrmann, A., Knopf, S., Thöle, H., Kästner, F., Ahlrichs, N., Stück, H.L., Schlieder-Kowitz, A., Kuhlmann, G., (2024). CO2 storage potential of the Middle Buntsandstein Subgroup-German sector of the North Sea. International Journal of Greenhouse Gas Control 136. Müller, S.M., Jähne-Klingberg, F., Thöle, H., Jakobsen, F.C., Bense, F., Winsemann, J. & Gaedicke, C. (2023). Jurassic to Lower Cretaceous tectonostratigraphy of the German Central Graben, southern North Sea. – Netherlands Journal of Geosciences, 102: e4. DOI:10.1017/njg.2023.4 Thöle, H., Jähne-Klingberg, F., Doornenbal, H., den Dulk, M., Britze, P. & Jakobsen F. (2021). Deliverable 3.8 – Harmonized depth models and structural framework of the NL-GER-DK North Sea. GEOERA 3DGEO-EU; 3D Geomodeling for Europe; project number GeoE.171.005. Report.
Beim Regionalen Raumordnungsprogramm (RROP) handelt es sich um ein strategisches Instrument zur räumlichen Steuerung, Ordnung der unterschiedlichen Nutzungsansprüche. Dabei sollen die miteinander konkurrierenden raumbezogenen Planungen, wie beispielsweise Land- und Forstwirtschaft, gewerbliche Wirtschaft, Verkehr, Naturschutz, Wohnraumbedarf u.v.m aufeinander abgestimmt werden. Das RROP ist somit auf der Ebene des Landkreises ein übergeordnetes und zusammenfassendes Planwerk. Basis für die Vielfalt an Themen bildet das Raumordnungsprogramm 2003 mit der 1. Änderung 2010.
Kartenverzeichnis des rechtskräftigen Regionalplanes in der Fassung der Bekanntmachung vom 16.08.2007: Karte 1 Raumstruktur (1:280 000) Karte 2 Raumnutzung (1:100 000) Karte 3 Siedlungswesen (1:280 000) Karte 4 Zentrale Orte - Lage im Raum (1:280 000) Karte 5 Zentrale Orte - administrative Gliederung (1:280 000) Karte 6 Naturräumliche Gliederung (1:280 000) Karte 7 Kulturlandschaftlich bedeutsame Bereiche (1:280 000) Karte 8 Schutzgebiete nach Naturschutzrecht (1:100 000) Karte 9 Natura 2000 (1:280 000) Karte 10 Windenergienutzung (1:280 000) Karte 11 Sanierungsbedürftige Bereiche der Landschaft/Landschaftspflege (1:200 000) Karte 12 Bergbauumgang (1:280 000) Karte 13 Tierhaltungsstandorte (1:280 000) Karte 14 Tourismus und Erholung (1:280 000)
The pattern of plant nutrient uptake in a soil profile is the result of complex processes occurring at the cellular or sub-cellular levels but affecting the whole-plant behaviour in function of the plant environment that varies strongly in time and space. The plant nutrient acquisition depends on root architecture and growth, on soil properties and heterogeneity, and on the 3-D distribution of nutrients and water. Equally important is how these parameters interact, as for instance how the nutrient distribution and soil properties and heterogeneity impact root growth or how nutrient and water limitation affect assimilate allocation. Mathematical modelling using a spatial resolution that resolves the spatial structure of the root structure and the nutrient and water distribution is therefore needed to quantitatively account for these complex and interacting processes and to predict plant nutrient uptake behaviour under environmental constraints. The main goal of the project is to build a modelling platform able to describe 3-D flow and transport processes in the soil to individual roots of an entire root system (WP1). Model parameters will be derived from specific experiments performed at the plant scale in the research group (WP3) and stored in a specific data warehouse (WP2). The impact of different parameters, which describe root growth and nutrient uptake at the single root scale, on nutrient uptake at the soil profile scale, will be investigated based on scenario analyses (WP4). Data on water and nutrient uptake and root growth from plant and field scale experiments will be compared with model predictions to validate the model. Simulations with the 3-D root scale model will be used to validate hypotheses and parameterizations of larger scale 1-D models that do not describe processes at the scale of individual roots (WP5 and SP10).
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