Aims: Floods in small and medium-sized river catchments have often been a focus of attention in the past. In contrast to large rivers like the Rhine, the Elbe or the Danube, discharge can increase very rapidly in such catchments; we are thus confronted with a high damage potential combined with almost no time for advance warning. Since the heavy precipitation events causing such floods are often spatially very limited, they are difficult to forecast; long-term provision is therefore an important task, which makes it necessary to identify vulnerable regions and to develop prevention measures. For that purpose, one needs to know how the frequency and the intensity of floods will develop in the future, especially in the near future, i.e. the next few decades. Besides providing such prognoses, an important goal of this project was also to quantify their uncertainty. Method: These questions were studied by a team of meteorologists and hydrologists from KIT and GFZ. They simulated the natural chain 'large-scale weather - regional precipitation - catchment discharge' by a model chain 'global climate model (GCM) - regional climate model (RCM) - hydrological model (HM)'. As a novel feature, we performed so-called ensemble simulations in order to estimate the range of possible results, i.e. the uncertainty: we used two GCMs with different realizations, two RCMs and three HMs. The ensemble method, which is quite standard in physics, engineering and recently also in weather forecasting has hitherto rarely been used in regional climate modeling due to the very high computational demands. In our study, the demand was even higher due to the high spatial resolution (7 km by 7 km) we used; presently, regional studies use considerably larger grid boxes of about 100 km2. However, our study shows that a high resolution is necessary for a realistic simulation of the small-scale rainfall patterns and intensities. This combination of high resolution and an ensemble using results from global, regional and hydrological models is unique. Results: By way of example, we considered the low-mountain range rivers Mulde and Ruhr and the more alpine Ammer river in this study, all of which had severe flood events in the past. Our study confirms that heavy precipitation events will occur more frequently in the future. Does this also entail an increased flood risk? Our results indicate that in any case, the risk will not decrease. However, each catchment reacts differently, and different models may produce different precipitation and runoff regimes, emphasizing the need of ensemble studies. A statistically significant increase of floods is expected for the river Ruhr in winter and in summer. For the river Mulde, we observe a slight increase of floods during summer and autumn, and for the river Ammer a slight decrease in summer and a slight increase in winter.
This project will provide quantitative estimates of the flow of low-salinity warm water through the Indonesian Gateway on suborbital timescales during MIS 2 and 3 (focusing on Dansgaard Oeschger (D-O) oscillations) and will assess the Indonesian Throughflow (ITF) s impact on the hydrography of the eastern Indian Ocean and global thermohaline circulation during this critical interval of high climate variability. ITF fluctuations, associated with sea level change, temperature and salinity variations in the West Pacific Warm Pool (WPWP) strongly influence precipitation over Australia, the strength of the southeast-Asian summer monsoon, and the intensity of warm meridional currents in the Indian Ocean. We will test the hypothesis that increased ITF is associated with warm interstadials of MIS 3, whereas a strong reduction in ITF occurred during stadials. We will use as main proxies planktonic and benthic foraminiferal isotopes in conjunction with Mg/Ca temperature estimates and radiogenic isotopes (mainly Nd) as tracers of Pacific water masses along depth transects in the Timor Passage and the eastern Indian Ocean. This project will provide the paleoceanographic framework that will be crucial to validate and refine circulation models of D-O events and high-frequency climate variability on a global scale.
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.
Organic matter (OM) composition and dynamic in subsoils is thought to be significantly different from those in surface soils. This has been suggested by increasing apparent 14C ages of bulk soil OM with depth suggesting that the amount of fresh, more easily degradable components is declining. Compositional changes have been inferred from declining ä13C values and C/N ratios indicative for stronger OM transformation. Beside these bulk OM data more specific results on OM composition and preservation mechanisms are very limited but modelling studies and results from incubation experiments suggest the presence and mineralization of younger, 'reactive carbon pool in subsoils. Less refractory OM components may be protected against degradation by interaction with soil mineral particles and within aggregates as suggested by the very limited number of more specific OM analysis e.g., identification of organic compound in soil fractions. The objective of this project is to characterize the composition, transformation, stabilization and bioavailability of OM in subsurface horizons on the molecular level: 1) major sources and compositional changes with depth will be identified by analysis of different lipid compound classes in surface and subsoil horizons, 2) the origin and stabilization of 'reactive OM will be revealed by lipid distributions and 14C values of soil fractions and of selected plant-specific lipids, and 3) organic substrates metabolized by microbial communities in subsoils are identified by distributional and 14C analysis of microbial membrane lipids. Besides detailed analyses of three soil profiles at the subsoil observatory site (Grinderwald), information on regional variability will be gained from analyses of soil profiles at sites with different parent material.
On 18 Januar 1986 at the east-looking slope of the Kleiner Watzmann in the Berchtesgaden National Park a snow avalanche came down from an elevation of about 2.000 m to the Königssee near St. Bartholomae (610 m above see level). It destroyed 12 to 15 ha of old growth forests dominated by beech (Fagus sylvatica); about 2.000 m3 of wood were thrown down. The soil survace was not intensively effected by the snow avalange. Because the area is situated in the central protection zone of the national park no clearing procedure was done, and a free stand develeopment without any direct impact of man is allowed to take place. In 1989 permanent plots (3 transects, each starting in the surrounding forest and crossing to avalanche area) were established. Vegetation and stand structure records were carried out in 1989, 1994 and 1999. Vegetation development in the first place is characterised by (1) a re-establishment of the tree layer by the (beech) trees, which were bent to the ground but not killed by the avalanche, (2) by seedling and sapling establishment (especially Acer and Fraxinus, but not by pioneer trees) and (3) by continuing floristic composition of the ground vegetation (coverage increasing or decresing depending on the light conditions).
Nutrient and water supply for organisms in soil is strongly affected by the physical and physico-chemical properties of the microenvironment, i.e. pore space topology (pore size, tortuosity, connectivity) and pore surface properties (surface charge, surface energy). Spatial decoupling of biological processes through the physical (spatial) separation of SOM, microorganisms and extracellular enzyme activity is apparently one of the most important factors leading to the protection and stabilization of soil organic matter (SOM) in subsoils. However, it is largely unknown, if physical constraints can explain the very low turnover rates of organic carbon in subsoils. Hence, the objective of P4 is to combine the information from the physical structure of the soil (local bulk density, macropore structure, aggregation, texture gradients) with surface properties of particles or aggregate surfaces to obtain a comprehensive set of physical important parameters. It is the goal to determine how relevant these physical factors in the subsoil are to enforce the hydraulic heterogeneity of the subsoil flow system during wetting and drying. Our hypothesis is that increasing water repellency enforces the moisture pattern heterogeneity caused already by geometrical factors. Pore space heterogeneity will be assessed by the bulk density patterns via x-ray radiography. Local pattern of soil moisture is evaluated by the difference of X-ray signals of dry and wet soil (project partner H.J. Vogel, UFZ Halle). With the innovative combination of three methods (high resolution X-ray radiography, small scale contact angle mapping, both applied to a flow cell shaped sample with undisturbed soil) it will be determined if the impact of water repellency leads to an increase in the hydraulic flow field heterogeneity of the unsaturated sample, i.e. during infiltration events and the following redistribution phase. An interdisciplinary cooperation within the research program is the important link which is realized by using the same flow cell samples to match the spatial patterns of physical, chemical, and biological factors in undisturbed subsoil. This cooperation with respect to spatial pattern analysis will include the analysis of enzyme activities within and outside of flow paths and the spatial distribution of key soil properties (texture, organic carbon, iron oxide content) evaluated by IR mapping. To study dissolved organic matter (DOM) sorption in soils of varying mineral composition and the selective association of DOM with mineral surfaces in context with recognized flow field pattern, we will conduct a central DOM leaching experiment and the coating of iron oxides which are placed inside the flow cell during percolation with marked DOM solution. Overall objective is to elucidate if spatial separation of degrading organisms and enzymes from the substrates may be interconnected with defined physical features of the soil matrix thus explaining subsoil SOM stability and -dynami
Im Gegensatz zu klassischen Sonnenblumen enthalten HO-Sonnenblumen ein Öl mit einem Anteil der Ölsäure (C18:1) von über 75 Prozent. Gleichzeitig ist der Gehalt an Linolsäure (C18:2) deutlich reduziert. HO-Öl kann sowohl im Nahrungsmittelbereich, als Brat-, Frittierfett oder Salatöl, als auch in technisch-chemischen Anwendungen, z.B. für Tenside in Waschmitteln, oder zur Erstellung von Kunststoffen, verwendet werden. Im Rahmen eines Kooperationsprojektes mit der LSA wurde am Institut für Molekulare Physiologie und Biotechnologie der Pflanzen (IMBIO) der Universität Bonn (Arbeitsgruppe Prof. H. Schnabl) eine partielle Protoplastenfusion zwischen H. maximiliani und H. annuus durchgeführt. Die aus der Fusion entstandenen Pflanzen (P0) wurden in Bonn getestet. Die P1-Generation wurde ab 2002 an der Landessaatzuchtanstalt (LSA) weitergeführt. An den P2-Samen wurden Fettsäureanalysen durchgeführt. Dadurch wurden zwei Pflanzen (HO-Max1, HO-Max2) gefunden, die erhöhte Ölsäuregehalte aufwiesen (größer 80 Prozent). Beide Pflanzen gehen auf unterschiedliche Fusionsprodukte zurück. Im Sommer 2003 wurden Samen weitergeführt, die zuvor mittels Halbkornanalytik auf hohen Ölsäuregehalt selektiert wurden. Um herauszufinden, ob sich diese Pflanzen von den beiden weiteren HO-Quellen der Sonnenblume (Pervenets, HA435) unterscheiden, wurden Kreuzungen zwischen Pflanzen mit unterschiedlichen HO-Quellen durchgeführt. Stand der Arbeiten: Die bisher vorliegenden Ergebnisse deuten auf unterschiedliche, aber eng gekoppelte Gene hin, die in den unterschiedlichen HO-Quellen verantwortlich sind für die Ausprägung des Merkmals hochölsäurehaltig.
Outbreaks of foodborne illness linked to consumptions of fresh, or partially processed, agricultural products are a growing concern in industrialized and developing countries. The incidence of human pathogens on fresh fruits and vegetables is often related to the use of recycled wastewaster in surface irrigation as well as high amounts of animal manure in agricultural management practice. Thereby the soil inhabiting fauna plays an important role in the transport and dissemination of microorganisms. The focus of the proposed project is on nematodes, well known vectors for bacteria and viruses in soil. The major goals are to: (1) survey human pathogens in soil and on/in free-living and plant parasitic nematodes in agriculture field sites irrigated with recycled wastewater or fertilized with fresh animal manure in Israel and the Palestinian Authority, (2) assess the function of nematodes as vectors in transmitting bacteria from microbial hot spots to plants, and (3) localize bacteria on and/or within the nematode and identify bacterial factors required for survival in the nematode host. Understanding the mechanisms involved in dissemination of human pathogens by nematodes will enhance the ability to develop practical means to minimize contamination of fresh produce and increase safety in food production.
Laminierte Seesedimente sind unschätzbare Informationsquellen zur Geschichte der Umwelt und des Klimas direkt aus der Lebenssphäre des Menschen. Ein exzellentes Beispiel dafür ist der Sihailongwan-Maarsee aus NE-China. In einem immer noch dicht bewaldeten Vulkangebiet gelegen, bieten seine Sedimente ein ungestörtes Abbild der Monsunvariationen über zehntausende von Jahren. Nur die letzten ca. 200 Jahre zeigen einen deutlichen lokalen anthropogenen Einfluss. Das Monsunklima der Region mit Hauptniederschlägen während des Sommers und extrem kalten Wintern unter dem Einfluss des Sibirischen Hochdrucksystems bildet die Voraussetzung für die Bildung von saisonal deutlich geschichteten Sedimenten (Warven), die in dem tiefen Maarsee dann auch überwiegend ungestört erhalten bleiben. Insbesondere die Auftauphase im Frühjahr bringt einen regelmässigen Sedimenteintrag in den See, der das Gerüst für eine derzeit bis 65.000 Jahre vor heute zurückreichende Warvenchronologie bildet. Für das letzte Glazial zeigen Pollenspektren aus dem Sihailongwan-Profil Vegetationsvariationen im Gleichklang mit bekannten klimatischen Variationen des zirkum-nordatlantischen Raumes (Dansgaard-Oeschger-Zyklen) zu dieser Zeit. Der Einfluss dieser Warmphasen auf das Ökosystem See war jedoch sehr unterschiedlich. So sind die Warven aus den Dansgaard-Oeschger (D/O) Zyklen 14 bis 17 mit extrem dicken Diatomeenlagen (hauptsächlich Stephanodiscus parvus/minutulus) denen vom Beginn der spätglazialen Erwärmung zum Verwechseln ähnlich, während Warven aus dem D/O-Zyklus 8 kaum Unterschiede zu überwiegend klastischen Warven aus kalten Interstadialen aufweisen. Gradierte Ereignislagen mit umgelagertem Bodenmaterial sind deutliche Hinweise auf ein Permafrost-Regime während der Kaltphasen. Auch während des Spätglazials treten deutliche klimatische Schwankungen auf, die der in europäischen Sedimentarchiven definierten Gerzensee-Oszillation und der Jüngeren Dryas zeitlich exakt entsprechen. Das frühe Holozän ist von einer Vielzahl Chinesischer Paläoklima-Archive als Phase mit intensiverem Sommermonsun bekannt. Überraschenderweise sind die minerogenen Fluxraten im Sihailongwan-See während des frühen Holozäns trotz dichter Bewaldung des Einzugsgebietes sehr hoch. Sowohl Mikrofaziesanalysen der Sedimente als auch geochemische Untersuchungen deuten auf remoten Staub als Ursache dieses verstärkten klastischen Eintrags hin. Der insbesondere in den letzten Jahrzehnten zunehmende Einfluss des Menschen zeigt sich in den Sedimenten des Sihailongwan-Maarsees vor allem in einem wiederum zunehmenden Staubeintrag und einer Versauerung im Einzugsgebiet. Der anthropogene Einflusss auf die lokale Vegetation ist immer noch gering.
Die Effizienz des Beuteerwerbs bestimmt, ob Tiere erfolgreich Nachkommen großziehen und gleichzeitig ihre eigene Körperkondition erhalten und Prädation vermeiden können, ob sie also eine hohe Fitness (gemessen als lebenslangen Fortpflanzungserfolg) erreichen können. Die Effizienz des Beuteerwerbs könnte auch Auswirkungen auf die Dynamik von Tierpopulationen haben: an Orten mit geringen energetischen Kosten sollte ein Populationszuwachs zu verzeichnen sein, während erhöhte Nahrungssuchkosten eher zu einer Populationsabnahme führen sollten. Es gibt zahlreiche Studien zum Beuteerwerb von Tieren, die sich darauf konzentrieren, die räumliche Verteilung der Tiere zu beschreiben. Dagegen sind die Mechanismen, die zu dieser Verteilung führen, weitgehend noch nicht untersucht. Diese Lücke könnte durch den Einsatz neuer Methoden in der Analyse von Tierbewegungen geschlossen werden. Durch den Einsatz von dreidimensionalen Beschleunigungsmessern können Daten des Habitats mit Beschleunigungsdaten der Tierbewegungen verschnitten werden. Die energetische Kosten der Bewegungen im potentiellen Beuteraum werden berechnet, und in eine Energie-Landschaft (Energy landscape) übertragen. Ich schlage hier vor, diese neue Technologie und Methodik anzuwenden, um den Einfluss der Effizienz des Beuteerwerbs auf die Dynamik von Tierpopulationen zu untersuchen. Ich werde Energielandschaften für Eselspinguine als Modellart für einen Antarktischen Prädator modellieren, der sehr erfolgreich auf jüngste Umweltveränderungen reagiert hat. Ich werde untersuchen, wie sich die Effizienz des Beuteerwerbs zwischen Populationen im optimalen Habitat (Antarktische Halbinsel, Populationszuwachs) und suboptimalen Habitat (Falklandinseln, stark schwankende Populationen) unterscheidet. Durch den Vergleich der Nutzung von Energielandschaften werde ich untersuchen, welche Bedingungen zu hoher Körperkondition und Fortpflanzungserfolg der Eselspinguine führen und die erfolgreiche Expansion der Art in antarktischem Habitat ermöglichen. Die Ergebnisse sollen dazu beitragen, zu verstehen, wie Tiere auf veränderte Umweltbedingungen reagieren, wie sie derzeit durch die Einflüsse des Klimawandels entstehen.
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