In freshwater sediments, iron oxidation is dominated by phototrophic and chemotrophic (aerobic and nitrate-reducing) Fe(ll)-oxidizing microorganisms. Although these biogeochemical processes have been investigated in detail in laboratory studies, not much is known about their spatial distribution, interactions (e.g. competition) amongst each other, as well as their response towards environmental perturbations (i.e. temperature, geochemical variations (nutrient, organic matter input)). This research proposal aims to investigate the activity, abundance and resource competition between different chemotrophic (aerobic and (autotrophic/mixotrophic) anaerobic nitrate-reducing) and phototrophic ironoxidizing microorganisms. In order to better understand the spatial distribution of nitrate-reducing iron oxidizing bacteria, microbial nitrate-producing and competing, nitrate-depletion processes will also be studied throughout the sedimentary redox gradient. In addition, the activity and abundance of the ironoxidizing processes will be quantified with (geo)microbiological, molecular and novel spectral imaging techniques. Using high resolution geochemical measurements (microsensors) we will characterize the environmental conditions these bacteria experience in order to determine the role of spatial and functional niche competition in microbial iron oxidation and the interconnection to the N-cycle. Iron mineral formation will be investigated as a function of the microbial spatial and temporal activity, depending on environmental perturbations. The proposed research study will strongly improve the understanding of iron cycling, the interconnection to the N-cycle, as well as interactions and competition between phototrophic and chemotrophic metabolisms in aquatic environments.
Irrigation in the Yanqi Basin, Sinkiang, China has led to water table rise and soil salination. A model is used to assess management options. These include more irrigation with groundwater, water saving irrigation techniques and others. The model relies on input data from remote sensing.The Yanqi Basin is located in the north-western Chinese province of Xinjiang.This agriculturally highly productive region is heavily irrigated with water drawn from the Kaidu River. The Kaidu River itself is mainly fed by snow and glacier melt from the Tian Mountain surrounding the basin. A very poor drainage system and an overexploitation of surface water have lead to a series of environmental problems: 1. Seepage water under irrigated fields has raised the groundwater table during the last years, causing strongly increased groundwater evaporation. The salt dissolved in the groundwater accumulates at the soil surface as the groundwater evaporates. This soil salinization leads to degradation of vegetation as well as to a loss of arable farmland. 2. The runoff from the Bostan Lake to the downstream Corridor is limited since large amount of water is used for irrigation in the Yanqi Basin. Nowadays, the runoff is maintained by pumping water from the lake to the river. The environmental and ecological system is facing a serious threat.In order to improve the situation in the Yanqi Basin, a jointly funded cooperation has been set up by the Institute of Environmental Engineering, Swiss Federal Institute of Technology (ETH) , China Institute of Geological and Environmental Monitoring (CIGEM) and Xinjiang Agricultural University. The situation could in principle be improved by using groundwater for irrigation, thus lowering the groundwater table and saving unproductive evaporation. However, this is associated with higher cost as groundwater has to be pumped. The major decision variable to steer the system into a desirable state is thus the ratio of irrigation water pumped from the aquifer and irrigation water drawn from the river. The basis to evaluate the ideal ratio between river and groundwater - applied to irrigation - will be a groundwater model combined with models describing the processes of the unsaturated zone. The project will focus on the following aspects of research: (...)
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).
During microbial turnover of organic chemicals in soil, non-extractable residues (NER) are formed frequently. Studies on NER formation usually performed with radioisotope labelled tracer compounds are limited to localisation and quantitative analyses but their chemical composition is left unknown. Recently, we could show for 2,4-dichlorophenoxyacetic acid and ibuprofen that during microbial turnover in soil nearly all NER were derived from microbial biomass, since degrading bacteria use the pollutant carbon for their biomass synthesis. Their cell debris is subsequently stabilised within soil organic matter (SOM) forming biogenic NER (bioNER). It is still unknown whether bioNER are also formed during biodegradation of other, structurally different compound classes of organic contaminants. Therefore, agricultural soil will be incubated with labelled compounds of five classes of commonly used and emerging pesticides: organophosphate, phenylurea, triazinone, benzothiadiazine and aryloxyphenoxypropionic acid. The fate of the label will be monitored in both living and non-living SOM pools and the formation of bioNER will be quantified for each compound over extended periods of time. In addition, soil samples from long-term lysimeter studies with 14C-labelled pesticide residues (e.g. triazine, benzothiazole and phenoxypropionic acid group) will be also analysed for bioNER formation. The results will be summarised to identify the metabolic conditions of microorganisms needed for bioNER formation and to develop an extended concept of risk assessment including bioNER formation in soils.
Soil structure determines a large part of the spatial heterogeneity in water storage and fluxes from the plot to the hillslope scale. In recent decades important progress in hydrological research has been achieved by including soil structure in hydrological models. One of the main problems herein remains the difficulty of measuring soil structure and quantifying its influence on hydrological processes. As soil structure is very often of biogenic origin (macropores), the main objective of this project is to use the influence of bioactivity and resulting soil structures to describe and support modelling of hydrological processes at different scales. Therefore, local scale bioactivity will be linked to local infiltration patterns under varying catchment conditions. At hillslope scale, the spatial distribution of bioactivity patterns will be linked to connectivity of subsurface structures to explain subsurface stormflow generation. Then we will apply species distribution modelling of key organisms in order to extrapolate the gained knowledge to the catchment scale. As on one hand, bioactivity influences the hydrological processes, but on the other hand the species distribution also depends on soil moisture contents, including the feedbacks between bioactivity and soil hydrology is pivotal for getting reliable predictions of catchment scale hydrological behavior under land use change and climate change.
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.
Die Erforschung von Artbildungs- und Anpassungsprozessen ist zentral, um zu verstehen, wie Biodiversität entsteht und auf wechselnde Umweltbedingungen reagiert.. Ein idealer Ort für solche Studien ist das Südpolarmeer: Es beherbergt eine reiche und hochgradig endemische Fauna. Neuere Studien zeigen, dass viele benthische Arten aus Gruppen von genetisch distinkten Kladen bestehen, die als früher übersehene Arten pleistozänen Ursprungs interpretiert werden. Diese kryptischen Arten können durch molekulare Methoden (z. B. DNA-Barcoding) und z.T. auch durch morphologische Analysen unterschieden werden. Es wird angenommen, dass die Artbildung per Zufall erfolgte, als ehemals große Populationen während glazialer Maxima in kleinen allopatrischen Refugien isoliert wurden, wo sie starker genetischer Drift ausgesetzt waren. Alternative Artbildungsmodelle wurden bislang wegen fehlender molekularer Methoden kaum erforscht. Studien aus anderen Ökosystemen zeigen, dass ökologische Artbildung, d.h. Aufspaltungsereignisse durch unterschiedliche Selektion, ein naheliegendes alternatives Artbildungsmodell ist. In dem hier vorgestellten Projekt sollen erstmals hochauflösende genomische Methoden zusammen mit morphologischen Analysen benutzt werden, um konkurrierende Artbildungsmodelle für das Südpolarmeer zu testen. Als Fallstudie sollen hierfür Muster genetischer Drift und Selektion in einer besonders erfolgreichen Gruppe benthischer Arten des Südpolarmeeres untersucht werden, den Asselspinnen (Pycnogonida). Aufbauend auf vorangehenden Studien sollen genomische Muster neutraler und nicht neutraler Marker bei zwei Artkomplexen untersucht werden: Colossendeis megalonyx und Pallenopsis patagonica. Diese beiden Artkomplexe von Asselspinnen sind aufgrund mehrerer Merkmale hervorragende Modelle für die Themen dieses Antrages: 1) Es existieren zahlreiche genetisch divergente kryptische Arten, 2) erste morphologische Unterschiede wurden gefunden, 3) die weite Verbreitung der Vertreter sowohl auf dem antarktischen Kontinentalschelf als auch in weniger von den Vereisungen betroffenen subantarktischen Regionen, 4) ihre geringe Mobilität. Sollte eine durch genetische Drift bedingte allopatrische Artbildung in glazialen Refugialpopulationen der Hauptantrieb der Evolution sein, ist zu erwarten, dass Zufallsfixierung neutraler Allele und Signaturen von Populations-Bottlenecks in stark vereisten Gebieten am höchsten sind. Wenn andererseits natürliche Selektion der Hauptantrieb der Artbildung war, so sind starke Signaturen von Selektion auf Geno- und Phänotyp zu erwarten. Diese sollte am stärksten bei sympatrischen Arten sein (Kontrastverstärkung). Die Variation entlang von Genomen soll untersucht werden, um das Ausmaß zufälliger bzw. nicht zufälliger Variation einzuschätzen. Das vorgeschlagene Projekt wird ein wichtiger erster Schritt einer systematischen Erforschung der relativen Bedeutung von genetischer Drift und Selektion für die Evolution im Südpolarmeer sein.
(1) Terrestrische Biota der Antarktis sind durch geografische Isolation und inselhafte Verteilung geprägt. Die isolierte Lage der Antarktis und die Beschränkung auf weit voneinander entfernte kleine Habitatflecken haben zu einem hohen Endemiten-Anteil und einer starken Regionalisierung der Fauna und Flora geführt. Genetische Differenzierung, lokale Anpassung und die Evolution kryptischer Arten sind die Folge. Die Biodiversitäts-Konvention (CBD) betrachtet genetische Diversität als einen Eckpfeiler biologischer Vielfalt und stellt sie damit in eine Reihe mit der Diversität von Arten und Ökosystemen. Durch Einschleppung ortsfremder Arten und Homogenisierung bislang getrennter Genpools bedroht der Mensch jedoch zunehmend diese Isolation und genetische Differenzierung vieler antarktischer Biota. (2) Obwohl Flechten als wichtigste Primärproduzenten antarktische terrestrische Lebensräume dominieren, fehlen zurzeit Daten zu ihrer genetischen Struktur und Diversität. Der Umfang inter- und intrakontinentalen Genflusses ist bisher völlig unbekannt. Es ist deswegen derzeit unmöglich, den aktuellen und zukünftigen menschlichen Einfluss auf antarktische Flechtenpopulationen auch nur annähernd abzuschätzen.(3) Wir schlagen vor, mittels molekulargenetischer Daten die populationsgenetische Struktur von sechs weit verbreiteten Flechtenarten mit unterschiedlichen Ausbreitungsstrategien zu untersuchen. Dabei soll die Nullhypothese überprüft werden, dass Flechtenpopulationen genetisch nicht differenziert sind. Zusätzlich wollen wir abschätzen, ob menschliche Aktivitäten zur Einschleppung ortsfremder Arten oder Genotypen und zur Homogenisierung von Genpools beitragen. Hierfür sollen Lokalitäten mit hohem und niedrigem menschlichen Einfluss verglichen werden. Das Projekt schafft damit unverzichtbare Grunddaten für die Entwicklung von Schutzstrategien in der Antarktis.
The magnetosphere of a planet is controlled by a number of factors such as the intrinsic magnetic field, the atmosphere and ionosphere, and the solar wind. Different combinations of these control factors are at work at the terrestrial planets Mercury, Venus, Earth, and Mars, hence they form a very suitable set for quantitative comparative studies. A significant intrinsic dipolar magnetic field is present only on Earth and on Mercury. However, the configuration at Mercury differs considerably from that at Earth because Mercury does not support an atmosphere and ionosphere, the dipolar field is much weaker, the solar wind denser, and the interplanetary magnetic field stronger. Both Mars and Venus have atmospheres but lack a global planetary magnetic field, with regional crustal magnetization being present on Mars. This proposal aims at investigating and comparing electrical current systems in the space environments of terrestrial planets using magnetic vector data collected by orbiting spacecraft such as Venus Express, Mars Global Surveyor, CHAMP (Earth), and MESSENGER (Mercury). We propose to construct data-driven and physically meaningful representations that reveal and quantify the influence of various control factors. To achieve this, we will tailor Empirical Orthogonal Function (EOF) analysis and other multivariate methods to the specifics of planetary magnetic field observations. In contrast to representations that build on predefined functions like spherical harmonics, basis functions in the EOF approach are derived directly from the data. EOFs are designed to extract dominant coherent variations for further interpretation in terms of known physical phenomena, and then, in a regression step, for modeling using suitable control variables. The EOF methodology thus allows quantifying the relative importance of control factors for each planet individually, and thus contributes to the solution of topical science questions. The resulting empirical models will facilitate comparative studies of current systems at the terrestrial planets.
Research question: Agri-environment schemes play an increasingly important role in European CAP (Common Agricultural Policy) to support biodiversity and environment in agricultural landscapes. They have been implemented since 1992 and now cost a yearly 1.7 billion Euro. Still, there is no conclusive evidence that these schemes actually do contribute to the conservation of particularly biodiversity. The primary objective of this project is to evaluate the (cost-) effectiveness of European agri-environment schemes in protecting biodiversity and to determine the primary processes that determine their effectiveness. This project furthermore aims to determine how CAP may be introduced in candidate EU-members without unacceptable loss of biodiversity. It will provide simple guidelines how researchers, governmental authorities may efficiently evaluate agri-environmental measures. Aim: Agri-environment schemes have been used to protect biodiversity and environment in agricultural areas since 1992. Their effectiveness has never been reliably evaluated. This project aims to evaluate the (cost-)effectiveness of agri-environment schemes with respect to biodiversity conservation in five European countries. It will determine the proper scales that have to be addressed for conservation efforts for a range of species groups. It will determine the most important environmental factors that influence the effectiveness of the schemes. Based on this, recommendations will be made how the effectiveness of schemes may be improved and simple guidelines will be produced how ecological effects of agri-environment schemes can be evaluated efficiently by governmental authorities or other institutions. The ecological effects of the introduction of CAP in a candidate EU-member will be investigated to reduce negative side effects of anticipated land-use changes Scientific methods: We will examine the effectiveness of agri-environment schemes by surveying pairs of fields: a field with an agri-environment scheme and a nearby field that is conventionally managed. In five countries, in each country in three areas, and in each area on seven pairs of fields the species richness of birds, plants and three insect groups (pollinators, herbivores, predators) will be determined. Effects of schemes on pollination efficiency and pest control will be examined using indicator communities. Correlative studies will examine the effects of landscape structure, land-use intensity and species pool on the effectiveness of agri-environmental measures. The spatial scale that is relevant to nature conservation efforts will be investigated via the spatial distribution of species groups. The results will be used to formulate recommendations how to improve the effectiveness of agri-environment schemes and to construct a set of simple guidelines how schemes can be evaluated efficiently yet reliably.
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