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WIR! - rECOmine - TERZINN II

Das Projekt "WIR! - rECOmine - TERZINN II" wird/wurde ausgeführt durch: Fraunhofer-Institut für Keramische Technologien und Systeme.

Ir-arme hocheffiziente MEA für PEM Elektrolysestack im MW-Bereich

Das Projekt "Ir-arme hocheffiziente MEA für PEM Elektrolysestack im MW-Bereich" wird/wurde ausgeführt durch: Heraeus Precious Metals GmbH & Co. KG.

Baustoffe aus CO2-basierter Carbonfaser und Granit, Teilvorhaben: Entwicklung und Bau von Bahnschwellen auf CFS Basis

Das Projekt "Baustoffe aus CO2-basierter Carbonfaser und Granit, Teilvorhaben: Entwicklung und Bau von Bahnschwellen auf CFS Basis" wird/wurde gefördert durch: Bundesministerium für Wirtschaft und Klimaschutz. Es wird/wurde ausgeführt durch: Richter & Müller GmbH.

Forest management in the Earth system

Das Projekt "Forest management in the Earth system" wird/wurde gefördert durch: Deutsche Forschungsgemeinschaft. Es wird/wurde ausgeführt durch: Max-Planck-Institut für Meteorologie.The majority of the worlds forests has undergone some form of management, such as clear-cut or thinning. This management has direct relevance for global climate: Studies estimate that forest management emissions add a third to those from deforestation, while enhanced productivity in managed forests increases the capacity of the terrestrial biosphere to act as a sink for carbon dioxide emissions. However, uncertainties in the assessment of these fluxes are large. Moreover, forests influence climate also by altering the energy and water balance of the land surface. In many regions of historical deforestation, such biogeophysical effects have substantially counteracted warming due to carbon dioxide emissions. However, the effect of management on biogeophysical effects is largely unknown beyond local case studies. While the effects of climate on forest productivity is well established in forestry models, the effects of forest management on climate is less understood. Closing this feedback cycle is crucial to understand the driving forces behind past climate changes to be able to predict future climate responses and thus the required effort to adapt to it or avert it. To investigate the role of forest management in the climate system I propose to integrate a forest management module into a comprehensive Earth system model. The resulting model will be able to simultaneously address both directions of the interactions between climate and the managed land surface. My proposed work includes model development and implementation for key forest management processes, determining the growth and stock of living biomass, soil carbon cycle, and biophysical land surface properties. With this unique tool I will be able to improve estimates of terrestrial carbon source and sink terms and to assess the susceptibility of past and future climate to combined carbon cycle and biophysical effects of forest management. Furthermore, representing feedbacks between forest management and climate in a global climate model could advance efforts to combat climate change. Changes in forest management are inevitable to adapt to future climate change. In this process, is it possible to identify win-win strategies for which local management changes do not only help adaptation, but at the same time mitigate global warming by presenting favorable effects on climate? The proposed work opens a range of long-term research paths, with the aim of strengthening the climate perspective in the economic considerations of forest management and helping to improve local decisionmaking with respect to adaptation and mitigation.

FArm MOnitoring via Real-Time SOil Sensing, Teilvorhaben 1

Das Projekt "FArm MOnitoring via Real-Time SOil Sensing, Teilvorhaben 1" wird/wurde gefördert durch: Bundesministerium für Bildung und Forschung. Es wird/wurde ausgeführt durch: Christian-Albrechts-Universität zu Kiel, Institut für Pflanzenbau und Pflanzenzüchtung, Abteilung Grünland und Futterbau/Ökologischer Landbau.

FArm MOnitoring via Real-Time SOil Sensing, Teilvorhaben 2

Das Projekt "FArm MOnitoring via Real-Time SOil Sensing, Teilvorhaben 2" wird/wurde gefördert durch: Bundesministerium für Bildung und Forschung. Es wird/wurde ausgeführt durch: Fraunhofer-Einrichtung für Mikrosysteme und Festkörper-Technologien.

FArm MOnitoring via Real-Time SOil Sensing

Das Projekt "FArm MOnitoring via Real-Time SOil Sensing" wird/wurde ausgeführt durch: Christian-Albrechts-Universität zu Kiel, Institut für Pflanzenbau und Pflanzenzüchtung, Abteilung Grünland und Futterbau/Ökologischer Landbau.

AZV Project West Greenland

Das Projekt "AZV Project West Greenland" wird/wurde gefördert durch: Deutsche Forschungsgemeinschaft / Deutscher Akademischer Austausch Dienst. Es wird/wurde ausgeführt durch: Universität Münster, Institut für Ökologie der Pflanzen.The AZV (Altitudinal Zonation of Vegetation) Project was initiated in the year 2002. On the basis of a detailed regional study in continental West Greenland the knowledge about altitudinal vegetation zonation in the Arctic is aimed to be enhanced. The main objectives of the project are: a) considering the regional study: characterize mountain vegetation with regard to flora, vegetation types, vegetation pattern and habitat conditions, investigate the differentiation of these vegetation characteristics along the altitudinal gradient, develop concepts about altitudinal indicator values of species and plant communities, extract suitable characteristics for the distinction and delimitation of vegetation belts, assess altitudinal borderlines of vegetation belts in the study area. b) considering generalizations: test the validity of the altitudinal zonation hypothesis of the Circumpolar Arctic Vegetation Map ( CAVM Team 2003), find important determinants of altitudinal vegetation zonation in the Arctic, develop a first small scale vegetation map of entire continental West Greenland. Field work consists of vegetational surveys according to the Braun-Blanquet approach, transect studies, soil analyses, long-time-measurements of temperature on the soil surface and vegetation mapping in three different altitudinal vegetation belts (up to 1070 m a.s.l.).

Biopores in the subsoil: Formation, nutrient turnover and effects on crops with distinct rooting systems (BioFoNT)

Das Projekt "Biopores in the subsoil: Formation, nutrient turnover and effects on crops with distinct rooting systems (BioFoNT)" wird/wurde gefördert durch: Deutsche Forschungsgemeinschaft. Es wird/wurde ausgeführt durch: Universität Bonn, Institut für Organischen Landbau.Perennial fodder cropping potentially increases subsoil biopore density by formation of extensive root systems and temporary soil rest. We will quantify root length density, earthworm abundance and biopore size classes after Medicago sativa, Cichorium intybus and Festuca arundinacea grown for 1, 2 and 3 years respectively in the applied research unit's Central Field Trial (CeFiT) which is established and maintained by our working group. Shoot parameters including transpiration, gas exchange and chlorophyll fluorescence will frequently be recorded. Precrop effects on oilseed rape and cereals will be quantified with regard to crop yield, nutrient transfer and H2-release. The soil associated with biopores (i.e. the driloshpere) is generally rich in nutrients as compared to the bulk soil and is therefore supposed to be a potential hot spot for nutrient acquisition. However, contact areas between roots and the pore wall have been reported to be low. It is still unclear to which extent the nutrients present in the drilosphere are used and which potential relevance subsoil biopores may have for the nutrient supply of crops. We will use a flexible videoscope to determine the root-soil contact in biopores. Nitrogen input into the drilosphere by earthworms and potential re-uptake of nitrogen from the drilosphere by subsequent crops with different rooting systems (oilseed rape vs. cereals) will be quantified using 15N as a tracer.

Die Anwendung Maschinellen Lernens bei der Fertigung von Festoxidzellen ( Machine-Learning for Solid Oxide Cells )

Das Projekt "Die Anwendung Maschinellen Lernens bei der Fertigung von Festoxidzellen ( Machine-Learning for Solid Oxide Cells )" wird/wurde ausgeführt durch: Forschungszentrum Jülich GmbH, Institut für Energie- und Klimaforschung (IEK), IEK-1: Werkstoffsynthese und Herstellungsverfahren.

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