Sediment erosion and transport is critical to the ecological and commercial health of aquatic habitats from watershed to sea. There is now a consensus that microorganisms inhabiting the system mediate the erosive response of natural sediments ('ecosystem engineers') along with physicochemical properties. The biological mechanism is through secretion of a microbial organic glue (EPS: extracellular polymeric substances) that enhances binding forces between sediment grains to impact sediment stability and post-entrainment flocculation. The proposed work will elucidate the functional capability of heterotrophic bacteria, cyanobacteria and eukaryotic microalgae for mediating freshwater sediments to influence sediment erosion and transport. The potential and relevance of natural biofilms to provide this important 'ecosystem service' will be investigated for different niches in a freshwater habitat. Thereby, variations of the EPS 'quality' and 'quantity' to influence cohesion within sediments and flocs will be related to shifts in biofilm composition, sediment characteristics (e.g. organic background) and varying abiotic conditions (e.g. light, hydrodynamic regime) in the water body. Thus, the proposed interdisciplinary work will contribute to a conceptual understanding of microbial sediment engineering that represents an important ecosystem function in freshwater habitats. The research has wide implications for the water framework directive and sediment management strategies.
Rain-cracking limits the production of many soft and fleshy fruit including sweet cherries world wide. Cracking is thought to result from increased water uptake through surface and pedicel. Water uptake increases fruit volume, and hence, turgor of cells (Pcell) and the pressure inside the fruit (Pfruit) and subjects the skin to tangential stress and hence, strain. When the strain exceeds the limits of extensibility the fruit cracks. This hypothesis is referred to as the Pfruit driven strain cracking. Based on this hypothesis cracking is related to two independent groups of factors: (1) water transport characteristics and (2) the intrinsic cracking susceptibility of the fruit defined as the amount of cracking per unit water uptake. The intrinsic cracking susceptibility thus reflects the mechanical constitution of the fruit. Most studies focussed on water transport through the fruit surface (factors 1), but only little information is available on the mechanical constitution (i.e., Pfruit and Pcell, tensile properties such as fracture strain, fracture pressure and modulus of elasticity of the exocarp; factors 2). The few published estimates of Pfruit in sweet cherry are all obtained indirectly (calculated from fruit water potential and osmotic potentials of juice extracts) and unrealistically high. They exceed those measured by pressure probe techniques in mature grape berry by several orders of magnitude. The objective of the proposed project is to test the hypothesis of the Pfruit driven strain cracking. Initially we will focus on establishing systems of widely differing intrinsic cracking susceptibility by varying species (sweet and sour cherry, Ribes and Vaccinium berries, plum, tomato), genotype (within sweet cherry), stage of development and temperature. These systems will then be used for testing the hypothesis of Pfruit driven strain cracking. We will quantify Pfruit und Pcell by pressure probe techniques and compression tests and the mechanical properties of the exocarp using biaxial tensile tests. When the presence of high Pfruit and Pcell is confirmed by direct measurements, subsequent studies will focus on the mode of failure of the exocarp (fracture along vs. across cell walls) and the relationship between failure thresholds and morphometric characteristics of the exocarp. However, when Pfruit und Pcell are low, the hypothesis of Pfruit driven strain cracking must be rejected and the mechanistic basis for low pressures (presence of apoplastic solutes) clarified on a temporal (in the course of development) and a spatial scale (exocarp vs. mesocarp). We focus on sweet cherry, because detailed information on this species and experience in extending the short harvest period is available. Where appropriate, other cracking susceptible species (sour cherry, plum, Vaccinium, Ribes, tomato) will be included to further extend the experimental period and to maximize the range in intrinsic cracking susceptibility.
In recent years science has taken an increased interest in mineralization processes in tropical soils in particular under minimal tillage operations. Plant litter quality and management strongly affect mineralization-nitrification processes in soil and hence the fate of nitrogen in ecosystems and the environment. Plant secondary metabolites like lignin and polyphenols are poorly degradable and interact with proteins (protein binding capacity) and hence protect them from microbial attack. Nitrification, a microbiological process, directly and indirectly influences the efficiency of recovery of N in the vegetation as well as the loss of N (through denitrification and leaching) causing environmental pollution to water bodies and contributes to global warming (e.g. the greenhouse gas N2O is emitted as a by-product of nitrification and denitrification). Nitrifiers comprise a relatively narrow species diversity (at least as known to date) and are generally thought to be sensitive to low soil pH and stress. Despite these properties nitrification occurs in acid tropical soils with high levels of aluminium and manganese. Thus the main objective of the project will be the identification of micro-organisms and mechanisms responsible for mineralization-nitrification processes in acid tropical soils and the influence of long-term litter input of different chemical qualities and minimal tillage options. The project will include the use of stable isotopes (15N, 13C), mass spectrometry, gas chromatography (CO2, N2O), biochemical methods (PLFA) and molecular biology (16s rRNA., PCR, DGGE)
Das Ziel des Projektes ist die skalenabhängige Evaluierung von Niederschlagsprognosen der DWD-Modellkette (LM/GME) bezüglich dynamischer Parameter und Wolkeneigenschaften. Ein neu entwickelter dynamischer Zustandsindex (DSI), die mit der spezifischen Feuchte gewichtete Divergenz sowie Wolkentyp, Bedeckung und Höhe der Wolkenobergrenze sind die Evaluierungsparamater. Der DSI wurde aus den ursprünglichen Gleichungen abgeleitet und beschreibt die Abweichungen von einem verallgemeinerten dynamischen Gleichgewicht, verursacht durch Instationarität und diabatische Prozesse. Die Evaluierung konzentriert sich auf die Wechselwirkungen zwischen der synoptischen und konvektiven Skala, die häufig die Ursache für extreme Niederschlagsereignisse sind. Sie untersucht die Beziehung zwischen den synoptisch-skaligen Prozessen und der konvektiven Parameterisierung. Eine Voraussetzung der Evaluierung ist eine vom Modell unabhängige feldmäßige Analyse des täglichen Niederschlages und der Wolkenparameter in der Gitterauflösung des LM/GME. Ein schon existierendes Analyseschema der synoptischen Beobachtungen wird weiter verbessert und erweitert durch Satellitendaten. Diese liefern kontinuierliche Wolkendaten und Niederschlagsraten. Die Genauigkeit der analysierten Felder wird mit Hilfe moderner statistischer Methoden abgeschätzt. In einem weiteren Schritt werden die getesteten dynamischen Parameter zu einer quasi-prognostischen Niederschlagsvorhersage oder als Prediktoren für einen MOS-Ansatz verwendet.
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.
Previous studies indicated that the development and biogeochemistry of paddy soils relates to the parent material, thus the original soil paddies derive from. The proposed research focuses on redox-mediated changes in mineral composition and mineral-associated organic matter (OM) during paddy transformation of different soils. We plan to subject soil samples to a series of redox cycles, in order to mimic paddy soil formation and development. Soils with strongly different properties and mineral composition as well as at different states of paddy transformation; ranging from unchanged soils to fully developed paddy soils, are to be included. We hypothesize that dissolved organic matter is one key driver in redox-mediated transformations, serving as an electron donator as well as interacting with dissolved metals and minerals. The extent of effects shall depend on the parent soil's original mineral assemblage and organic matter and their mutual interactions. The experimental paddy soil transformation will tracked by analyses of soil solutions, of the (re-)distribution of carbon (by addition of 13C-labelled rice straw), of indicative biomolecules (sugars, amino sugars, fatty acids, lignin) and of minerals (including the redox state of Fe). For analyses of organic matter as well as of mineral characteristics we plan to utilize EXAFS and XPS, for Fe-bearing minerals also Mößbauer spectroscopy. This approach of experimental pedology seems appropriate to give insight into the major factors during paddy soil formation and development.
Die Bildung der Eis Phase in der Troposphäre stellt einen wichtigen Fokus der aktuellen Atmosphärenforschung dar. Durch heterogene Nukleation entstehen bei Temperaturen oberhalb von -37°C primäre Eiskristalle an sogenannten eiskeimbildenden Partikeln (INP, engl, ice nucleating particles). Die räumliche Verteilung der INP und deren Quellen variieren stark. In der Atmosphäre finden sich INP nur in sehr geringer Anzahlkonzentration, oft weniger als ein Partikel pro Liter, und sie stellen nur eine kleine Untergruppe des gesamten atmosphärischen Aerosols dar. Ziel dieses Antrages ist es die Anzahlkonzentrationen von eiskeimbildenden Partikeln und deren Variabilität in der Atmosphäre zu messen. Außerdem sind Laborstudien geplant, in denen unser Verständnis über die chemischen und biologischen Eigenschaften der Partikel, die die Eisbildung initiieren, verbessert werden soll. Mit dem von unserer Arbeitsgruppe entwickelten Eiskeimzahler FINCH (Fast Ice Nucleaus CHamber) sollen die atmosphärischen Anzahlkonzentrationen von INP bei verschiedenen Gefriertemperaturen und Übersättigungen an mehreren Standorten gemessen werden. Die Kopplung von FINCH mit einem virtuellen Gegenstromimpaktor (CVI, engl, counter-flow virtual impactor, Kooperation mit RP2), die während lNUIT-1 entwickelt und getestet wurde, soll nun weiter charakterisiert und Messungen damit fortgesetzt werden. Bei dieser Methode werden die Eispartikel, die in FINCH gebildet werden, von den unterkühlten Tröpfchen und inaktivierten Partikeln separiert und mit weiteren Messmethoden untersucht. In Kooperation mit RP2 und RP8 planen wir hierbei die Charakterisierung der INP mittels Größen- und Aerosolmassenspektrometer sowie die Sammlung der INP auf Filtern oder Impaktorplatten zur anschließenden Analyse mit einem Elektronenmikroskop (ESEM, engl. DFG fomi 54.011 -04/14 page 3 of 6 Environmental Scanning Electron Microscopy). Die Feldmessdaten werden von umfangreichen Laborstudien an den Forschungseinrichtungen AIDA (RP6) und LACIS (RP7) ergänzt. Dort soll das Immersionsgefrieren von verschiedenen Testpartikeln aus biologischem Material (z.B. Zellulose), porösem Material (z.B. Zeolith) und Mineralstaub mit geringem organischem Anteil im Detail untersucht werden. Des Weiteren planen wir Labormessungen, bei denen eine verbesserte Charakterisierung der Messunsicherheiten von FINCH erarbeitet werden soll. Außerdem werden regelmäßige Tests und Kalibrierungen mit FINCH durchgeführt, für die Standardroutinen festgelegt werden sollen. Um die Rolle der INP bei der Wolken- und Niederschlagsbildung sowie bei den Wolkeneigenschaften abzuschätzen, werden die gewonnenen Messergebnisse am Ende als Eingabeparameter für erweiterte Wolkenmodelle (Kooperation mit WP-M) dienen.
Die Sea-Surface Microlayer (SML) als dünne Grenzschicht trennt Hydrosphäre und Atmosphäre. Häufig sind die Konzentrationen bestimmter Verbindungen in der SML höher, entweder durch physikalische Konzentration aus dem darunter liegenden Wasser, durch Produktion in der SML oder durch atmosphärische Ablagerungen. Ein bekannter Aspekt ist die durchweg höhere Konzentration von chromophoren gelösten organischen Stoffen (CDOM) in der SML im Vergleich zum darunter liegenden Wasser. Kürzlich haben wir gezeigt, dass die inhärenten optischen Eigenschaften (IOP) â€Ì d.h. die Lichtstreu- und Absorptionseigenschaften von Wasser und seinen Bestandteilen â€Ì der SML genutzt werden können Komponenten in der SML zu charakterisieren und nützliche Informationen für den Strahlungstransfer und für Fernerkundungsstudien zu liefern. Darüber hinaus war unsere frühere Forschung zu optischen Eigenschaften in der SML unsere Motivation hier vorzuschlagen, IOPs und apparente optischen Eigenschaften (AOPs) â€Ì abgeleitet aus spektralradiometrischen Messungen des Lichtfeldes â€Ì sowie die Fluoreszenz zur Charakterisierung von organischen Stoffen (OM) und deren Transformation für die Echtzeitbewertung der SML als biologischen und chemischen Lebensraum zu nutzen. Hiermit können wir in außergewöhnlicher Weise die Kurzzeitdynamik relevanter biologischer und chemischer Treiber in der SML untersuchen.
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.
In this project we experimentally explore the transport of engineered inorganic nanoparticles (EINP) through soils. This is done for original EINPs and some pre-aged form. Transport of NPs in soil is expected to be different from that of reactive solutes, in that hydrodynamic drag, inertial and shear forces as well as the affinity to water-gas interfaces are expected to be more relevant. Hence, the mobility of EINPs in soil is highly sensitive to the morphology of the porous structure and the dynamics of water saturation.This project provides the pore network structure for natural soils using X-ray micro-tomography to allow for an up-scaling of pore-scale interactions explored by project partners to the scale of soil horizons. The pore structure is represented by a network model suitable for pore scale simulations including the dynamics of water-gas interfaces.Pore network simulations will be compared to column experiments for conservative tracers as well as for unaltered and pre-aged EINPs (obtained from INTERFACE). This includes steady state flow scenarios for saturated (ponding) and unsaturated conditions as well as for transient flow to explore the impact of moving water-gas interfaces. The final goal is to arrive at a consistent interpretation of experimental findings and numerical simulations to develop a module for modelling EINP transfer through soil as a function of particle properties, soil structural characteristics and external forcing in terms of flux boundary conditions.
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