WFS des rechtskräftigen Regionalen Raumordnungsprogramms des Landkreises Rotenburg (Wümme) in zeichnerischer Darstellung. Das Regionale Raumordnungsprogramm ist aus dem Landesraumordnungsprogramm (LROP) 2017 entwickelt und legt die angestrebte räumliche und strukturelle Entwicklung des Planungsraumes fest.
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.
This dataset compiles a harmonised inventory of historical landslide events and their reported impacts in the Mainz Basin from 70 AD to 2011, derived from an extensive survey of archival and documentary sources. Documentary material was gathered from regional and national libraries, historical societies, institutional repositories, hard to access collections, additionally complemented by structured interviews with long term residents, local authorities, farmers including vineyard owners. Textual, cartographic and documentary sources were systematically catalogued, critically evaluated for reliability as well as dating accuracy. All events were georeferenced wherever possible, then integrated into a common GIS framework. The resulting database consists of an event table, in which each row represents an interpreted landslide event and its associated attributes, and a corresponding spatial dataset of point features. To handle large text corpora from heterogeneous archival materials, AI assisted tools (Gemini Notebook, customised Gemini based workflows) were employed to support document standardisation, information extraction along with the application of predefined classification criteria, with all automatically generated outputs being checked and refined by the authors. The dataset provides a reproducible, source based reconstruction of the chronology, distribution and impacts of historical landslides in the Mainz Basin. The data is intended as a basis for subsequent geomorphological, temporal and statistical analyses, as well as for integration with additional thematic layers such as lithology, topography, land cover and climate.
WMS des rechtskräftigen Regionalen Raumordnungsprogramms des Landkreises Rotenburg (Wümme) in zeichnerischer Darstellung. Das Regionale Raumordnungsprogramm ist aus dem Landesraumordnungsprogramm (LROP) 2017 entwickelt und legt die angestrebte räumliche und strukturelle Entwicklung des Planungsraumes fest.
Soil structure determines a large part of the spatial heterogeneity in water storage and fluxes from the plot to the hillslope scale. In recent decades important progress in hydrological research has been achieved by including soil structure in hydrological models. One of the main problems herein remains the difficulty of measuring soil structure and quantifying its influence on hydrological processes. As soil structure is very often of biogenic origin (macropores), the main objective of this project is to use the influence of bioactivity and resulting soil structures to describe and support modelling of hydrological processes at different scales. Therefore, local scale bioactivity will be linked to local infiltration patterns under varying catchment conditions. At hillslope scale, the spatial distribution of bioactivity patterns will be linked to connectivity of subsurface structures to explain subsurface stormflow generation. Then we will apply species distribution modelling of key organisms in order to extrapolate the gained knowledge to the catchment scale. As on one hand, bioactivity influences the hydrological processes, but on the other hand the species distribution also depends on soil moisture contents, including the feedbacks between bioactivity and soil hydrology is pivotal for getting reliable predictions of catchment scale hydrological behavior under land use change and climate change.
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.
Die Schweiz weist zahlreiche Kulturlandschaften auf, die durch traditionelle Streubauweise als Ausdruck gewachsener landwirtschaftlicher Nutzungsformen gepraegt sind. Davon liegen grosse Teile in Randgebieten, die von Abwanderungen der ansaessigen Bevoelkerung bedroht sind. Mit dem Inkrafttreten des Bundesgesetzes ueber die Raumplanung (RPG) wurde die bauliche Siedlungsentwicklung gesamtschweizerisch auf die Bauzonen beschraenkt und fuer bauliche Veraenderungen ausserhalb der Bauzonen eine Ausnahmeregelung getroffen. Dieses Grundkonzept erweist sich in traditionellen Streusiedlungsgebieten oft als problematisch. Neben der Lokalisierung derartiger Gebiete geht es im vorliegenden Projekt darum, im Rahmen der gesetzlichen Moeglichkeiten und unter Beruecksichtigung der oeffentlichen Interessen geeignete Loesungen aufzuzeigen.
The CRC806-Database platform is the Research Data Management infrastructure of the SFB / CRC 806. The infrastructure is implemented using Open Source software, and implements Open Science, Open Access and Open Data principles. The Collaborative Research Centre (CRC; ‘Sonderforschungsbereich’ or SFB) is designed to capture the complex nature of chronology, regional structure, climatic, environmental and socio-cultural contexts of major intercontinental and transcontinental events of dispersal of Modern Man from Africa to Western Eurasia, and particularly to Europe (Cited from introductory text on: www.sfb806.de).
Dieser Datensatz enthält Daten der Planungsregionen Oberes Elbtal/Osterzgebirge, Region Chemnitz und Oberlausitz-Niederschlesien und deckt im Endausbau den gesamten Freistaat Sachsen ab. Entsprechend des Landesentwicklungsplanes 2013 als fachübergreifendes Gesamtkonzept zur räumlichen Entwicklung, Ordnung und Sicherung des Freistaates Sachsen stellen die Regionalpläne einen verbindlichen Rahmen für die räumliche Entwicklung, Ordnung und Sicherung des Raumes dar. Im Datensatz sind regionalplanerische Festlegungen des Komplexes Raumstruktur enthalten. Die rechtsverbindlichen Pläne werden in der Regel in Maßstäben zwischen 1:300.000 und 1:450.000 erstellt.
Rechtskräftiges Regionales Raumordnungsprogramm des Landkreises Rotenburg (Wümme) in zeichnerischer Darstellung. Das Regionale Raumordnungsprogramm ist aus dem Landesraumordnungsprogramm (LROP) 2017 entwickelt und legt die angestrebte räumliche und strukturelle Entwicklung des Planungsraumes fest.
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