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Forest Structure - Sentinel-1/2, GEDI - Germany, Yearly

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).

MEPHYSTO: Combining population dynamics and drought related ecophysiology in the regional forest model TreeMig

The project is part of the COST action FP0603 Forest models for research and decision support in sustainable forest management (http://www.cost.esf.org/index.php?id=143&action number=FP0603) which aims at extending the scope of forest models from growth only to population dynamics and ecophysiology. Rationale: For sustainable forest management over large areas and for simulating different forest functions especially under changing conditions, different aspects of the system forest' must be modelled jointly: ecophysiological/biogeochemical processes, population dynamics, spatial interactions, and horizontal/vertical species stand structure. We develop a forest model with a stand-size grain suitable to be applied on large areas for assessment of, e.g., climate change or management effects on forest functions. This is achieved by merging and if necessary up- and down-scaling model functions of ecophysiological and population dynamical processes contained in existing models (single tree physiology, local scale ecophysiological, empirical forest growth, spatio-temporal forest landscape, and dynamic global vegetation models). Drought is predicted to occur more frequently with climate change, thus the main focus is on drought and the mechanisms how it affects the trees. Research questions: What are the mechanisms by which drought affects trees? Which is the best (sufficiently accurate and efficient) way to model and simulate these mechanisms? How can population dynamics and ecophysiology be combined in a landscape scale model concerning - allocation of water and carbohydrates to trees and organs? - spatial heterogeneity of soil water and trees? Methods: The project builds on the climate-driven forest landscape model TreeMig (Lischke et al., 2006). Process descriptions from various existing models are compiled, evaluated and included into TreeMig. This involves a thorough scaling of process formulations. Drought effects, involving soil water balance, stomata regulation, photosynthesis, CO2 fertilization effects, allocation of carbohydrates, dynamics of reserve pools and the relationship between these and regeneration, growth and mortality are studied in literature and other models and included into MEPHYSTO.

Spatial heterogeneity and substrate availability as limiting factors for subsoil C-turnover

In subsoils, organic matter (SOM) concentrations and microbial densities are much lower than in topsoils and most likely highly heterogeneously distributed. We therefore hypothesize, that the spatial separation between consumers (microorganisms) and their substrates (SOM) is an important limiting factor for carbon turnover in subsoils. Further, we expect microbial activity to occur mainly in few hot spots, such as the rhizosphere or flow paths where fresh substrate inputs are rapidly mineralized. In a first step, the spatial distribution of enzyme and microbial activities in top- and subsoils will be determined in order to identify hot spots and relate this to apparent 14C age, SOM composition, microbial community composition and soil properties, as determined by the other projects within the research unit. In a further step it will be determined, if microbial activity and SOM turnover is limited by substrate availability in spatially distinct soil microsites. By relating this data to root distribution and preferential flow paths we will contribute to the understanding of stabilizing and destabilizing processes of subsoil organic matter. As it is unclear, at which spatial scale these differentiating processes are effective, the analysis of spatial variability will cover the dm to the mm scale. As spatial segregation between consumers and substrates will depend on the pore and aggregate architecture of the soil, the role of the physical integrity of these structures on SOM turnover will also be investigated in laboratory experiments.

NUR: Build4People, Verbesserung der Lebensqualität durch nachhaltige urbane Transformation; Teilprojekt 4 'Urbane Grün- und Freiflächen'.

INSPIRE Geology / Hydrogeologische Raumgliederung BB

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.

Global database of key seagrass structure, biomass and production variables

Seagrass meadows provide valuable socio-ecological ecosystem services, including a key role in climate change mitigation and adaption. Understanding the natural history of seagrass meadows across environmental gradients is crucial to decipher the role of seagrasses worldwide. This database comprises of data compiled from peer-previewed publications (1975-2020; based on a Web of Science search) containing 11 individual measures of seagrass meadow structure (e.g. percent cover), biomass (e.g. above-ground biomass) and productivity (e.g. shoot production). Each row of data also includes biological, spatial and temporally relevant information such as bioregion, latitude, longitude, sampling year and genera. This compiled database will facilitate a deeper understanding of spatial and temporal patterns in seagrass meadow structure, biomass and production characteristics globally.

Hydrogeologische Raumgliederung BB

Der Datensatz beinhaltet Daten vom LBGR über die Hydrogeologische Raumgliederung Brandenburgs und wird über je einen Darstellungs- und Downloaddienst bereitgestellt. Die Karte gibt einen Überblick zu den hydrogeologischen Raumgliederungen Brandenburgs. Die Gliederungseinheiten tragen den angewandten Charakter von Nutzungsräumen. Sie werden anhand von Wassereinzugsgebieten und Charakteristiken dazugehöriger Grundwasserdynamik beschrieben. Für das Territorium einer hydrogeologischen Einheit werden vergleichbare Grundwasserverhältnisse vorausgesetzt.

Regionales Raumordnungsprogramm Landkreis Lüneburg

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.

Karten Regionalplan, rechtskräftig (Region Plauen)

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)

Regionales Raumordnungsprogramm 2020 Beikarte Windenergie Landkreis Rotenburg (Wümme) - WMS

Diese Kurzbeschreibung entspricht dem <abstract> aus dem GetCapabilities-Dokument. - Diese Vorlage ist für WMS / View-Service eingerichtet. Für die Beschreibung eines WFS müssen Sie die entsprechenden Werte ändern und auch das Schlagwort infoFeatureAccessService setzen.

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