Das Projekt "Z1: Data Warehouse" wird vom Umweltbundesamt gefördert und von Philipps-Universität Marburg, Fachgebiet Klimageographie und Umweltmodellierung durchgeführt. The overall objective of the proposal is the continuous provision of central data services to the DFG research unit 816. Based on our conceptual design and technical implementation of the research unit's data warehouse (FOR816dw) which is already operational since the very beginning of phase one, further enhancements especially related to the powerful web-interfaces for data upload, query, download and visualization will be incorporated during the second phase. The FOR816dw system ensures that administrative and scientific datasets and corresponding meta-information are safely stored and long-term accessible at a single location. It also forms the centre of the overall integration concept of the research unit. Beside this computer-science services, the subproject will also continue to act as main help desk for all other subprojects.
Das Projekt "A6: Response of element cycles in a tropical mountain rain forest to environmental and land-use change" wird vom Umweltbundesamt gefördert und von Karlsruher Institut für Technologie (KIT), Institut für Geographie und Geoökologie durchgeführt. The north Andean forest is affected by climate-driven acid and base depositions and will experience increasing N input in the future. Based on our knowledge of element cycling in the Reserva Biologica San Francisco, we aim at developing scenarios of possible responses of the study forest to expected environmental change. We will evaluate the available data series and complete the parameterization of a catchment-based hydrologic model (CATFLOW). We will assume the joint change scenarios of the Research Unit. The developed scenarios will be validated by continuing the Long-term Ecosystem Study and the Nutrient Management Experiment (NUMEX). The Long-term Ecosystem Study was established in 1998. For greater than 11 years, a unique data set of weekly records of all major water and element fluxes has been collected. In the interdisciplinary NUMEX experiment, established in 2007, we continuously add N, P, N+P, and Ca twice per year to native forest in a block design at ca. 2000 m a.s.l. to explore the forest response to low-level nutrient input. For the next phase, a joint 15N pulse chasing experiment will be conducted to further explore the fate of added N. We contribute by setting up a complete flux budget of the applied isotope label.
Das Projekt "Unesco-Programm MAB, Projekt 6: der Einfluss des Menschen auf Hochgebirgsoekosysteme" wird vom Umweltbundesamt gefördert und von ESRI durchgeführt.
Das Projekt "Internationale Konferenz: Der Alpenprozess - Ein Beispiel für andere Bergregionen vom 26. bis 29.06.2002 in Berchtesgaden" wird vom Umweltbundesamt gefördert und von Elke Steinmetz durchgeführt.
Das Projekt "Workshop 'Erhaltung der Biologischen Vielfalt in Ländern der Kaukasus-Region (Aserbaidschan, Georgien, Armenien)' vom 28.-31.10.2004 in Tbilissi/Georgien" wird vom Umweltbundesamt gefördert und von Bundesamt für Naturschutz durchgeführt.
Das Projekt "Long-range transport of nutrients into the mountainous rain forest of southern Ecuador" wird vom Umweltbundesamt gefördert und von Technische Universität München, Wissenschaftszentrum Weihenstephan für Ernährung, Landnutzung und Umwelt, Fachgebiet für Ökoklimatologie durchgeführt. Rain and fog-water measurements along an altitude profile between 1800 and 3185 m in the ECSF area and analyses of ion composition of rain and fog-water samples show episodes of significantly enhanced nitrogen and sulphur input into this ecosystem, with annual deposition rates being comparable to those of polluted central Europe. By means of back trajectories it could be shown that biomass burning in the Amazon is the likely source of this additional nitrate, ammonia and sulphate fertilizer . First oxygen isotope analyses of nitrate in fog-water samples confirm photochemical conversion of precursor substances emitted from fires. This project aims at quantifying the atmospheric deposition of nutrients by rain- and fogwater and the anthropogenic contribution resulting from biomass burning, atmospheric transformation and long-range transport, by applying stable isotope analyses and combining remote sensing data (NOAA, MODIS) and modeling methods (FLEXTRA trajectory-modeling). ENVISAT-data will provide atmospheric distributions of NO2, H2CO and CO. Along with back trajectories and chemical and isotopic analyses of wet and dry deposition samples these methods will enable a better understanding of the impact of the ongoing landuse changes in the south American tropics and the tropical mountain forest ecosystem.
Das Projekt "A7: Changes in soil internal N cycle and trace gas fluxes under elevated nutrient input" wird vom Umweltbundesamt gefördert und von Universität Göttingen, Büsgen-Institut, Abteilung Ökopedologie der Tropen und Subtropen durchgeführt. Although projections are that N deposition will increase strongly in the tropics, its effects on tropical forests are still largely descriptive. In the proposed project we plan to continue on-going measurements of soil-atmosphere fluxes of N2O, NO, CH4 and CO2 (NUMEX experiment). Our early results suggest that after the first year of flux measurements there are already substantial changes in the microbial processes nitrification and denitrification. Furthermore there are indications that N cycling rates have increased in plots that receive N addition at moderate rates. We plan to conduct measurements using 15N pool dilution and a 15N pulse chase experiment to assess quantitatively how microbial N cycling has changed in forest soils and to translate the short-term N fluxes to long-term fates of NH4 + and NO3 - in forest soils exposed to chronic N addition. Another focus will be potential feedbacks of N deposition on the soil carbon cycling by measuring heterotrophic CO2 respiration. During the first phase, our group discovered in cooperation with A5 that tank bromeliads are a substantial source of Methane. We plan a series of measurement to determine the size of these CH4 emissions from different elevations.
Das Projekt "Central data services" wird vom Umweltbundesamt gefördert und von Philipps-Universität Marburg, Fachgebiet Klimageographie und Umweltmodellierung durchgeführt. The overall objective of the proposal is the continuous provision of central data services to the DFG research unit 816. Based on our conceptual design and technical implementation of the research units data warehouse (FOR816dw) which is already operational since the very beginning of phase one, further enhancements especially related to the powerful web-interfaces for data upload, query, download and visualization will be incorporated during the second phase. The FOR816dw system ensures that administrative and scientific datasets and corresponding meta-information are safely stored and long-term accessible at a single location. It also forms the centre of the overall integration concept of the research unit which is supervised by the PI of this proposal. Beside this computer-science services, the subproject will also continue to act as main help desk for all other subprojects.
Das Projekt "B1: The biology of southern bracken in the anthropogenic ecosystem in the San Francisco valley of South Ecuador" wird vom Umweltbundesamt gefördert und von Universität Bayreuth, Fachgruppe Biologie, Bayreuther Zentrum für Ökologie und Umweltforschung (BayCEER), Lehrstuhl für Pflanzenphysiologie durchgeführt. Bracken covers about 40% of the pastures in the San Francisco valley and it is still spreading. Preliminary results suggest that bracken is composed of 2 species Pteridium arachnoideum and caudatum and several genetically differing lines. The taxonomic composition of bracken in the research area will be analysed using morphological characters, allozyme analysis and DNA-microsatellites. In a firetriggered succession, bracken outcompetes the pasture grass Setaria. This process is simulated by a model which is based on field measurements (ecological, ecophysiological, radiation data) assuming competition for light as the decisive factor. An extra module simulates the effect of burning on the competition. The model shall be extended to a third plant life form, the bush Baccharis latifolia, which is very common in the bracken-infested pastures. It shall also be applied to the effects of grazing and of bracken control measures which have been running for 2.5 years. The bracken control experiment has meanwhile merged in a repastorization experiment which shall be continued. Invasion and spreading of bracken since 1975 will be traced from Landsat scenes and the current appearance and further spreading of a bracken blight disease, a potential means of biocontrol shall be followed with QuickBird scenes.
Das Projekt "D5: Functional soil landscape modelling in the Andean mountain forest zone: impact of land use and natural disturbances" wird vom Umweltbundesamt gefördert und von Universität Bayreuth, Bayreuther Zentrum für Ökologie und Umweltforschung (BayCEER), Abteilung für Bodenphysik durchgeführt. Spatial patterns of soil types and related hydrological, mechanical, chemical and biological properties considerably affect ecosystem behaviour and functioning on the local as well as on the landscape scale. In the tropical montane forests of Southern Ecuador landslides are assumed to have significant impact on pedogenesis, pedodiversity, landscape evolution and biodiversity. Consequently, soil landscape modelling needs to take into account the main governing factors of landslide dynamics like topography, soil hydrology, and vegetation development. Based on comprehensive datasets from previous funding periods and ongoing research our project aims at functional soil landscape modeling with special focus on pedodiversity and landslide risk assesment. Results will further be used for disturbance analyses, and hydrological modelling on the local, catchment and landscape scale in close cooperation with other working groups. Soil landscape modelling will be conducted using advanced statistical models like classifcication and regression trees (CART) and artificial neuronal networks (ANN). Hydrological modeling is conducted using GIS segmentation algorithms together with process based 2D- and 3D- hillslope and catchment models. Special attention will be directed to spatial heterogeneity and parameter uncertainty. A total of 8 existing monitoring plots provide us with throughfall, matric potential, water content and discharge data of subcatchments for model calibrations. Occurrence and relevance of preferential flow can be assessed with the help of dye tracer image analyses from previous funding periods.
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