The energetic efficiency of C4 photosynthesis is strongly affected by bundle sheath leakiness, which is commonly assessed with the 'linear version' of the Farquhar model of 13C discrimination, and leaf gas exchange and 13C composition data. But, the linear Farquhar model is a simplification of the full mechanistic theory of ? in C4 plants, potentially generating errors in the estimation of leakiness. In particular, post-photosynthetic C isotope fractionation could cause large errors, but has not been studied in any detail. The present project aims to improve the understanding of the ecological and developmental/physiological factors controlling discrimination and leakiness of the perennial grass Cleistogenes squarrosa. C. squarrosa is the most important member of the C4 community which has spread significantly in the Mongolia grasslands in the last decades. It has an unusually high and variable discrimination, which suggests very high (and potentially highly variable) leakiness. Specifically, we will conduct the first systematic study of respiratory 13C fractionation in light and dark at leaf- and stand-scale in this C4 species, and assess its effect on discrimination and estimates of leakiness. These experiments are conducted in specialized 13CO2/12CO2 gas exchange mesocosms using ecologically relevant scenarios, testing specific hypotheses on effects of environmental drivers and plant and leaf developmental stage on discrimination and leakiness.
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.
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.
Glendonites are pseudomorphs after the mineral ikaite (CaCO3 x 6H2O) and composed of calcite (CaCO3). In the past, they have been used as a paleo-thermometer because the primary mineral ikaite, according to observations and experiments, seems to be formed at temperatures near freezing, high alkalinity and high phosphate concentrations in marine sediments. An enigmatic occurrence of the largest glendonites known world-wide, in the Early Eocene Fur Formation of northwestern Denmark offers the unique possibility to shed more light on the actual mechanism and controlling parameters of ikaite formation. Right in the aftermath of the Paleocene-Eocene thermal maximum, a time known for its global pertubation in the global carbon cycle, the formation of authigenic calcium carbonate concretions start in the Fur Formation. In a specific stratigraphic interval inbetween these concretions, the glendonites can be found. We will investigate if termperature changes or changes in geochemical parameters of the Danish Basin caused the sudden formation of ikaite during a time interval that was based on known paleoclimatic reconstructions (semi tropic) not favorable for ikaite formation.
The sorption of anions in geotechnical multibarrier systems of planned high level waste repositories (HLWR) and of non-ionic and organic pollutants in conventional waste disposals are in the center of recent research. In aquatic systems, persistent radionuclides such as 79Se, 99Tc, 129I exist in a form of anions. There is strongly increasing need to find materials with high sorption capacities for such pollutants. Specific requirements on barrier materials are long-term stability of adsorbent under various conditions such as T > 100 C, varying hydrostatic pressure, and the presence of competing ions. Organo-clays are capable to sorb high amounts of cations, anions and non-polar molecules simultaneously having selectivity for certain ions. This project is proposed to improve the understanding of sorption and desorption processes in organo-clays. Additionally, the modification of material properties under varying chemical and thermal conditions will be determined by performing diffusion and advection experiments. Changes by sorption and diffusion will be analyzed by determining surface charge and contact angles. Molecular simulations on models of organo-clays will be conducted in an accord with experiments with aim to understand and analyze experimental results. The computational part of the project will profit from the collaboration of German partner with the group in Vienna, which has a long standing experience in a modeling of clay minerals.
Dairy farming across Germany displays diverse production systems. Factor endowment, management, technology adoption as well as competitive dynamics in the local or regional land, agribusiness and dairy processing sectors contribute to this differentiation on farm level. These differences impact on the ability of dairy farms and regional dairy production systems to successfully respond to pressures arising from future market and policy changes. The overall objective of the research activities of which this project is a part of, is to develop a thorough understanding of the processes that govern the spatial dynamics of dairy farm development in different regions in Germany. The central hypothesis of this research project is that management system and technological choices differ systematically across local production and market conditions. The empirical approach will focus on the estimation of farm specific nonparametric cost functions for dairy farms located in across Germany differentiated by time and location. A spatially differentiated data base with information on input use, resource availability, as well as local market conditions for land and output markets will be compiled. The nonparametric approach is specifically suited to disclose a more accurate representation of dairy production system heterogeneity across locations and time compared to parametric concepts as it provides the necessary flexibility to accommodate non-linearities relevant for a wide domain of explanatory variables. The methodology employed goes beyond the state of the art of the literature as it combines kernel density estimation with a Bayesian sampling approach to provide theory consistent parameters for each farm in the data sample.The specific methodological hypothesis is that the nonparametric approach is superior to current parametric techniques and this hypothesis is tested using statistical model evaluation. Regarding the farm management and technological choices, we hypothesize that land suitability for feed production determines the farm intensity of dairy production and thus management and technological choices. With respect to the ability of farms to successfully respond to market pressures we hypothesize that farms at the upper and lower tail of the intensity distribution both can generate positive returns from dairy production. These last two hypotheses will be tested using the estimated spatially differentiated farm specific costs and marginal costs.The expected outcomes are of relevance for the agricultural sector and the food supply chain economy as a whole as fundamental market structure changes in the dairy sector are ongoing due to the abolition of the quota regulation in the years 2014/2015. Thus, exact knowledge about differences and development of dairy cost heterogeneity of farms within and between regions are an important factor for the actors involved in the market as well as the political support of this process.
In many plant species, FLOWERING LOCUS T and related proteins are the mobile signal that communicates information on photoperiod from the leaves to the shoots, where the transition to flowering is realized. FT expression is tightly controlled at the transcriptional level so that it is restricted to leaves, occurs only in appropriate photoperiods, and integrates ambient temperature and developmental cues, as well as information on biotic and abiotic stress. We previously established that FT transcription in the model plant Arabidopsis thaliana requires proximal promoter cis-elements and a distal enhancer, both evolutionary conserved among Brassicacea species. In addition, FT transcription is blocked prior vernalization in biannual accessions and vernalization-dependency of FT is controlled through a CArG-box located in the first intron that binds the transcriptional repressor FLOWERING LOCUS C (FLC). Chromatin-mediated repression by the Polycomb Group (PcG) pathway is required for photoperiod-dependent FT regulation and participates in FT expression level modulation in response to other cues.In this project, I propose to explore the available sequence data from the 1001 genome project in Arabidopsis to evaluate how often changes in regulatory cis-elements at FT have occurred and how these translate into an adaptive value. Allele-specific FT expression pattern will be measured in F1 hybrids of different accessions in response to varying environmental conditions. FT alleles that show cis-regulatory variation will be further analyzed to pinpoint the causal regulatory changes and study their effect in more detail. The allotetrapolyploid species Brassica napus is a hybrid of two Brassiceae species belonging to the A- and C-type genome, which are in turn mesopolyploid due to a genome triplication that occurred ca. 10x106 years ago. We will determine allele-specific expression of FT paralogs from both genomes of a collection of B. napus accessions. The plants will be grown in the field in changing environmental conditions to maximize the chance to detect expression variation of the paralogs. We will compare the contribution of the founder genomes to the regulation of flowering time and asses variation in this contribution. A particular focus will be to study the impact of chromatin-mediated repression on allele selection in B. napus.
Die temperatur- und feuchteabhängige Eisnukleationseffizlenz von verschiedenen Aerosolen kann in Laborexperimenten genau charakterisiert und für die Beschreibung von primärer Eisbildung in numerischen Modellen auf verschiedensten Skalen parametrisiert werden. Wenn diese Effizienten als bekannt vorausgesetzt werden, unter welchen Bedingungen und wie oft tritt heterogene Eisnukleation in den verschiedenen Nukleationsmoden tatsächlich in typischen Mischphasenwolken auf? Dieser Frage wird in diesem Projekt mit dem Modell ICON-LES (der Large Eddy Version des neuen icosahedrischen nichthydrostatischen Modells, welches zurzeit am Deutschen Wetterdienst und dem Max-Planck-Institut für Meteorologie in Hamburg entwickelt wird) nachgegangen. Dieses Modell enthält ein Zwei-Momenten-Wolkenphysikschema und wird durch aerosolspezifische Eisnukleationsparameterisierungen ergänzt werden. Zusätzlich wird eine einfache Diagnostik von Aerosolen in Wolkentropfen eingeführt, um zwischen potentiellen Immersionseiskeimen und interstitiellen eisnukleierenden Partikeln, die als Kontakt- oder Depositionseiskeime dienen können, zu unterscheiden. In idealisierten Simulationen von verschiedenen Mischphasenwolkentypen, die in Europa häufig auftreten (Winternebel, Altostratus, orographische Wolken, hochreichende Konvektion) und unter Benutzung von klimatologischen Aerosolfeldern wird das Auftreten von Immersions-, Depositions- und Kontaktgefrieren und die Werte der Eiskeimkonzentrationen statistisch ausgewertet und mit den Sensitivitätsbereichen der INUIT Labor- und Feldmessgeräten verglichen. Zusätzlich wird das bevorzugte räumliche Auftreten dieser Prozesse (z. B. Kontaktgefrieren in den Einmischbereichen an den Wolkenrändern) analysiert und quantifiziert werden. Das Modellsetup für die Fallstudie der konvektiven Wolke wird mit RP3 abgestimmt, so dass ein Vergleich zwischen dem spektralen und dem Zwei-Momenten- Mikrophysikschema möglich ist. Außerdem wird in diesem Projekt zusammen mit WP-F und WP-L eine Schließungsstudie für die Messungen in der Mittelmeerkampagne durchgeführt. Dabei wird untersucht, welche Parameter zu den größten Unsicherheiten in der Vorwärtsberechnung von potentiellen Eiskeimen führen.
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.
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.
| Organisation | Count |
|---|---|
| Bund | 359 |
| Europa | 101 |
| Land | 3 |
| Wirtschaft | 1 |
| Wissenschaft | 154 |
| Type | Count |
|---|---|
| Förderprogramm | 359 |
| License | Count |
|---|---|
| Offen | 359 |
| Language | Count |
|---|---|
| Deutsch | 79 |
| Englisch | 346 |
| Resource type | Count |
|---|---|
| Keine | 271 |
| Webseite | 88 |
| Topic | Count |
|---|---|
| Boden | 307 |
| Lebewesen und Lebensräume | 355 |
| Luft | 255 |
| Mensch und Umwelt | 358 |
| Wasser | 267 |
| Weitere | 359 |