In the last decades agricultural policy has gained increasingly in complexity. Nowadays it influences the food and agricultural sector from the global market down to the farm level. Widespread research questions, like the impact of the WTO negotiations on the farm structure, most often require comprehensive modeling frameworks. Thus, different types of models are utilized according to their comparative advantages and combined in a strategically useful way to more accurately represent micro and macro aspects of the food and agricultural sector. Consequently, in recent years we have seen an increase in the development and application of model linkages. Given this background, the overall objective of this subproject is a systematic sensitivity analysis of model linkages that gradually involves more and more characteristics of the linkage and the corresponding transfer of results between models. In addition, the project aims to answer the following specific question: How does structural change at the farm level influence aggregate supply and technical progress? Under which conditions is it possible to derive macro-relationships from micro-relationships? How does the aggregation level influence the model results and how can possible problems be overcome? This procedure is used to quantify the effects and to derive conditions for optimal interaction of the connected models. The analysis is based on the general equilibrium model GTAP (Global Trade Analysis Project) and the farm group model FARMIS (Farm Modelling Information System) which are employed in conjunction to analyze the effects of WTO negotiations on the farm level.
We consider clay minerals, iron oxides and charcoal as major components controlling the formation of interfaces relevant for sorption of organic chemicals, as they control the assemblage of organic matter and mineral particles. We studied the formation of interfaces in batch incubation experiments with inoculated artificial soils consisting of model compounds (clay minerals, iron oxide, char) and natural soil samples. Results show a relevant contribution of both iron oxides and clay minerals to the formation of organic matter as sorptive interfaces for hydrophobic compounds. Thus, we intend to focus our work in the second phase on the characterization of the interface as formed by organic matter associated with clay minerals and iron oxides. The interfaces will be characterized by the BET-N2 and ethylene glycol monoethyl ether (EGME) methods and 129Xe and 13C NMR spectroscopy for determination of specific surface area, sorptive domains in the organic matter and microporosity. A major step forward is expected by the analysis of the composition of the interface at different resolution by reflected-light microscopy (mm scale), SEM (scanning electron microscopy, micrometer scale) and secondary ion mass spectrometry at the nanometer scale (nanoSIMS). The outcomes obtained in combination with findings from cooperation partners will help to unravel the contribution of different types of soil components on the formation and characteristics of the biogeochemical interfaces and their effect on organic chemical sorption.
Prehistoric pits are filled with ancient topsoil material, which has been preserved there over millennia. A characteristic of these pit fillings is that their colour is different depending on the time the soil material was relocated. Soil colour is the result of soil forming processes and soil properties, and it could therefore indicate the soil characteristics present during that specific period. To the best of our knowledge, no investigation analysed and explained the reasons for these soil colour changes over time. The proposed project will investigate soil parameters from pit fillings of different archaeological periods in the loess area of the Lower Rhine Basin (NW-Germany). It aims to implement the measurement of colour spectra as a novel analytical tool for the rapid analyses of a high number of soil samples: the main goal is to relate highresolution colour data measured by a spectrophotometer to soil parameters that were analysed by conventional pedogenic methods and by mid infrared spectroscopy (MIRS), with a main focus on charred organic matter (BPCAs). This tool would enable us to quantify the variation of soil properties over a timescale of several millennia, during different prehistoric periods at regional scale and for loess soils in general. Detailed information concerning changing soil properties on a regional scale is necessary to determine past soil quality and it helps to increase our understanding of prehistoric soil cultivation practices. Furthermore, these information could also help to increase our understanding about agricultural systems in different archaeological periods.
Über dem Nordatlantik und Europa wird die Variabilität der großräumigen Wetterbedingungen von quasistationären, langandauernden und immer wiederkehrenden Strömungsmustern â€Ì sogenannten Wetterregimen â€Ì geprägt. Diese zeichnen sich durch das Auftreten von Hoch- und Tiefdruckgebieten in bestimmten Regionen aus. Verlässliche Wettervorhersagen auf Zeitskalen von einigen Tagen bis zu einigen Monaten im Voraus hängen von einer korrekten Darstellung der Lebenszyklen dieser Strömungsregime in Computermodellen ab. Um das zu erreichen müssen insbesondere Prozesse, die günstige Bedingungen zur Intensivierung von Tiefdruckgebieten aufrecht erhalten, und Prozesse, die den Aufbau von stationären Hochdruckgebieten (blockierende Hochs) begünstigen, richtig wiedergegeben werden. Aktuelle Forschung deutet stark darauf hin, dass Atmosphäre-Ozean Wechselwirkungen, insbesondere entlang des Golfstroms, latente Wärmefreisetzung in Tiefs, und Kaltluftausbrüche aus der Arktis dabei eine entscheidende Rolle spielen. Dennoch mangelt es an grundlegendem Verständnis wie solche Luftmassentransformationen über dem Ozean die großskalige Höhenströmung beeinflussen. Darüber hinaus ist die Relevanz solcher Prozesse für Lebenszyklen von Wetterregimen unerforscht. In dieser anspruchsvollen drei-jährigen Kollaboration zwischen KIT und ETH Zürich streben wir an ein ganzheitliches Verständnis zu entwickeln, wie Wärmeaustausch zwischen Ozean und Atmosphäre und diabatische Prozesse in der Golfstromregion die Variabilität der großräumigen Strömung über dem Nordatlantik und Europa prägen. Zu diesem Zweck werden wir ausgefeilte Diagnostiken zur Charakterisierung von Luftmassen mit neuartigen Diagnostiken zur Bestimmung des atmosphärischen Energiehaushaltes verbinden und damit den Ablauf von Wetterregimen und Regimewechseln in aktuellen hochaufgelösten numerischen Modelldatensätzen und mit Hilfe von eigenen Sensitivitätsstudien untersuchen. Dazu werden wir unsere Expertise in größräumiger Dynamik und Wettersystemen, sowie Atmosphäre-Ozean Wechselwirkungen â€Ì insbesondere während arktischen Kaltluftausbrüchen â€Ì und der Lagrangeâ€Ìschen Untersuchung atmosphärischer Prozesse nutzen. Im Detail werden wir (i) ein dynamisches Verständnis entwickeln, wie Luftmassentransformationen entlang des Golfstroms die Höhenströmung über Europa beeinflussen, mit Fokus auf blockierenden Hochdruckgebieten, (ii) die Bedeutung von Luftmassentransformationen und diabatischer Prozesse für den Erhalt von Bedingungen, die die Intensivierung von Tiefdruckgebieten während bestimmter Wetterregimelebenszyklen bestimmen, untersuchen, (iii) diese Erkenntnisse in ein einheitliches und quantitatives Bild vereinen, welches die Prozesse, die den Einfluss des Golfstroms auf die großräumige Wettervariabilität prägen, zusammenfasst und (iv) die Güte dieser Prozesse in aktuellen numerischen Vorhersagesystemen bewerten. Diese Grundlagenforschung wird wichtige Erkenntnisse zur Verbesserung von Wettervorhersagemodellen liefern.
Comprehension of belowground competition between plant species is a central part in understanding the complex interactions in intercropped agricultural systems, between crops and weeds as well as in natural ecosystems. So far, no simple and rapid method for species discrimination of roots in the soil exists. We will be developing a method for root discrimination of various species based on Fourier Transform Infrared (FTIR)-Attenuated Total Reflexion (ATR) Spectroscopy and expanding its application to the field. The absorbance patterns of FTIR-ATR spectra represent the chemical sample composition like an individual fingerprint. By means of multivariate methods, spectra will be grouped according to spectral and chemical similarity in order to achieve species discrimination. We will investigate pea and oat roots as well as maize and barnyard grass roots using various cultivars/proveniences grown in the greenhouse. Pea and oat are recommendable species for intercropping to achieve superior grain and protein yields in an environmentally sustainable manner. To evaluate the effects of intercropping on root distribution in the field, root segments will be measured directly at the soil profile wall using a mobile FTIR spectrometer. By extracting the main root compounds (lipids, proteins, carbohydrates) and recording their FTIR-ATR spectra as references, we will elucidate the chemical basis of species-specific differences.
Changes in agroecosystem management (e.g. landscape diversity, management intensity) affect the natural control of pests. The effects of agricultural change on this ecosystem service, however, are not universal and the mechanisms affecting it remain to be understood. As biological control is effectively the product of networks of interactions between pests and their natural enemies, food web analysis provides a versatile tool to address this gap of knowledge. The proposed project will utilize a molecular food web approach and examine, for the first time, how changes in plant fertilisation and landscape complexity affect quantitative aphid-parasitoid-hyperparasitoid food webs on a species-specific level to unravel how changes in food web interactions affect parasitoid aphid control. Based on the fieldderived data, cage experiments will be conducted to assess how parasitoid diversity and identity affect parasitoid interactions and pest control, complementing the field results. The work proposed here will take research on parasitoid aphid control one step further, as it will provide a clearer understanding of how plant fertilization affects whole aphid-parasitoid food webs in both simple and complex landscapes, allowing for further improvements in natural pest control.
Fusarium species of the Gibberella fujikuroi species complex cause serious diseases on different crops such as rice, wheat and maize. An important group of plant pathogens is the Gibberella fujikuroi species complex (GFC) of closely related Fusarium species which are associated with specific hosts; F. verticillioides and F. proliferatum are particularly associated with maize where they can cause serious ear-, root-, and stalk rot diseases. Two other closely related species of the GFC, F. mangiferae and F. fujikuroi, which share about 90Prozent sequence identity with F. verticillioides, are pathogens on mango and rice, respectively. All of these species produce a broad spectrum of secondary metabolites such as phytohormones (gibberellins, auxins, and cytokinins), and harmful mycotoxins, such as fumonisin, fusarin C, or fusaric acid in large quantities. However, the spectrum of those mycotoxins might differ between closely related species suggesting that secondary metabolites might be determinants for host specificity. In this project, we will study the potential impact of secondary metabolites (i.e. phytohormones and certain mycotoxins) and some other species-specific factors (e.g. species-specific transcription factors) on host specificity. The recently sequenced genomes of F. mangiferae and F. fujikuroi by our groups and the planned sequencing of F. proliferatum will help to identify such determinants by genetic manipulation of the appropriate metabolic pathway(s).
The increasing proportion of carbon fibre reinforced plastics (CFRP) in different branches of industry will result in an increasingly larger quantity of CFRP wastes in future. With regard to improved management of natural resources, it is necessary to add these fibres that require energy-intensive production to effective recycling management. But high-quality material recycling is only ecoefficient if the recycled fibres can be used to produce new high-quality and marketable products. Tests carried out up to now indicate that very good results can be expected for large-scale recycling of carbon fibres by means of pyrolysis. The waste pyrolysis plant (WPP) operated in Burgau is the only large-scale pyrolysis plant for municipal wastes in Germany. Use of this plant to treat CFRP wastes represents a unique opportunity for the whole Southern German economy and in particular the Augsburg economic region. In a study funded by the Bavarian State Ministry of the Environment and Health ('Bayerisches Staatsministerium für Umwelt und Gesundheit'), the specific implementation options for the recovery of carbon fibres from composites by means of large-scale pyrolysis have been under investigation since November 2010. To this end, in the first step a development study was carried out, which in particular examined the options for modifying the Burgau WPP for the recycling of CFRP. The knowledge acquired from the pyrolysis tests, the fibre tests and the economic feasibility study confirmed the positive assessment of the overall concept of CFRP recycling in Burgau. As an overall result, unlimited profitability was found for all scenarios with regard to investments in CFRP recycling in Burgau WPP. The work on the development study was carried out by bifa Umweltinstitut GmbH together with the Augsburg-based 'function integrated lightweight construction project group ('Funktionsintegrierter Leichtbau' - FIL) of the Fraunhofer Institute for Chemical Technology (ICT). Methods: analysis and moderation of social processes, economy and management consulting, process engineering
Sandy soils of the arid/semiarid dune fields of the Palestinian Gaza Strip and the Israeli western Negev are extensively covered by biological soil crusts (BSC), which stabilize the surface and prevent desertification. Political discussions in Israel suggest transferring a large part of this sand belt to the Gaza Strip within a final peace accord. Inappropriate land uses may lead to destruction of the BSC and initiate desertification, as already occurring in parts of the Gaza Strip. In this interdisciplinary project the influence of environmental factors on the vitality, stability and the recovery potential of the BSC will be investigated in order to evaluate the carrying capacity of this fragile landscape, in relation to rainfall, soil and relief conditions. A transect stretching from the Mediterranean coast in the Palestinian Gaza Strip (370 mm rainfall) to 65 km southwards in Israel ( Nizzana , less than 100 mm rainfall) has been selected. The interactions of molecular biological, physiological, physical and soil chemical processes, expressed in specific characteristics of the BSC and the underlying soil, will be assessed from the molecular to the landscape scale.
Subproject 3 will investigate the effect of shifting from continuously flooded rice cropping to crop rotation (including non-flooded systems) and diversified crops on the soil fauna communities and associated ecosystem functions. In both flooded and non-flooded systems, functional groups with a major impact on soil functions will be identified and their response to changing management regimes as well as their re-colonization capability after crop rotation will be quantified. Soil functions corresponding to specific functional groups, i.e. biogenic structural damage of the puddle layer, water loss and nutrient leaching, will be determined by correlating soil fauna data with soil service data of SP4, SP5 and SP7 and with data collected within this subproject (SP3). In addition to the field data acquired directly at the IRRI, microcosm experiments covering the broader range of environmental conditions expected under future climate conditions will be set up to determine the compositional and functional robustness of major components of the local soil fauna. Food webs will be modeled based on the soil animal data available to gain a thorough understanding of i) the factors shaping biological communities in rice cropping systems, and ii) C- and N-flow mediated by soil communities in rice fields. Advanced statistical modeling for quantification of species - environment relationships integrating all data subsets will specify the impact of crop diversification in rice agro-ecosystems on soil biota and on the related ecosystem services.
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