The Labrador Sea is one of the few places in the world ocean, where deep water formation takes place. This water is exported from the Labrador Sea to become part of the southward branch of the meridional overturning circulation. Previous observational work has largely focused on the role of deep convection in the interior of the Labrador Sea. Recent evidence from observations and numerical ocean models specifically indicate that processes near the ocean boundaries might be most relevant for both Eulerian downwelling of waters in the Labrador Sea and the fast export of newly transformed waters. We propose to analyze mooring based observations at the western margin of the Labrador Sea together with high resolution numerical model simulations to understand the role both processes play for the meridional overturning circulation in the subpolar North Atlantic. Specifically, we want to test (i) if (and where) downwelling occurs along the margins of the Labrador Sea, (ii) how downwelling relates to the seasonal evolution of convection and eddy activity, (iii) how fast waters newly transformed near the western margin of the Labrador Sea are exported, and (iv) how the two processes (downwelling, fast export) affect the temporal variability of the Atlantic meridional overturning circulation.
The basidiomycete Armillaria mellea s.l. is one of the most important root rot pathogens of forest trees and comprises several species. The aim of the project is to identify the taxa occurring inSwitzerland and to understand their ecological behaviour. Root, butt and stem rots caused by different fungi are important tree diseases responsible for significant economic losses. Armillaria spp. occur world-wide and are important components of many natural and managed forest ecosystems. Armillaria spp. are known saprothrophs as well as primary and secondary pathogens causing root and butt rot on a large number of woody plants, including forest and orchard trees as well as grape vine and ornamentals. The identification of several Armillaria species in Europe warrants research in the biology and ecology of the different species. We propose to study A. cepistipes for the following reasons. First, A. cepistipes is dominating the rhizomorph populations in most forest types in Switzerland. This widespread occurrence contrasts with the current knowledge about A. cepistipes, which is very limited. Second, because the pathogenicity of A. cepistipes is considered low this fungus has the potential for using as an antagonist to control stump colonising pathogenic fungi, such as A. ostoyae and Heterobasidion annosum. This project aims to provide a better understanding of the ecology of A. cepistipes in mountainous Norway spruce (Picea abies) forests. Special emphasis will be given to interactions of A. cepistipes with A. ostoyae, which is a very common facultative pathogen and which often co-occurs with A. cepistipes. The populations of A. cepistipes and A. ostoyae will be investigated in mountainous spruce forests were both species coexist. The fungi will be sampled from the soil, from stumps and dead wood, and from the root system of infected trees to determine the main niches occupied by the two species. Somatic incompatibility will be used to characterise the populations of each species. The knowledge of the spatial distribution of individual genets will allow us to gain insights into the mode of competition and the mode of spreading. Inoculation experiments will be used to determine the variation in virulence expression of A. cepistipes towards Norway spruce and to investigate its interactions with A. ostoyae.
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.
Das Auerhuhn ist eine stark gefährdete Brutvogelart der Schweiz. Veränderungen in der Zusammensetzung und Nutzung des Waldes haben dazu geführt, dass sich die Bestände dieses Raufusshuhns in den letzten drei Jahrzehnten halbiert haben. Deshalb sollen die Lebensraumansprüche des attraktiven Waldvogels vermehrt in der Planung und Umsetzung von Waldreservaten und der Bewirtschaftung von Wäldern der höheren Lagen berücksichtigt werden. Auf der kleinen räumlichen Ebene sind die Habitatsansprüche der Art durch Untersuchungen in West- und Mitteleuropa (Storch 1993, 2002, Schroth 1994) und Skandinavien relativ gut bekannt. Dagegen werden die Populationsprozesse auf der Ebene der Landschaft erst in Ansätzen verstanden (Sjöberg 1996, Kurki 2000). Entsprechend konnte man die Bestandsrückgänge in den meisten Gebieten Europas noch nicht stoppen, da einerseits genauere Kenntnisse über das Zusammenspiel und die relative Bedeutung der einzelnen Faktoren fehlen (Habitatqualität, Störungen, Prädatoren, Witterung-Klima, Huftierkonkurrenz), und andererseits noch nicht versucht wurde, die Bestandsentwicklung im grossen landschaftlichen Massstab als Metapopulationsdynamik zu verstehen. Es ist das primäre Ziel dieses Projekts, ein räumlich explizites Metapopulationsmodell des Auerhuhns für einen grossen Landschaftsausschnitt der Schweizer Alpen zu erarbeiten. Dabei sollen die erwähnten Einflussfaktoren möglichst umfassend berücksichtigt werden. Die Arbeit soll modellhaft zeigen, dass für das Verständnis von Populationsvorgängen von raumbeanspruchenden Wildtierarten eine Analyse und Bewertung von lokal bis überregional wirksamen Einflussfaktoren notwendig sind. Die Ergebnisse sollen zudem als konzeptionelle Grundlage für den Nationalen Aktionsplan Auerhuhn und für regionale Artenförderungsprojekte dienen. Folgende Fragen und Themen sind für das Projekt von zentraler Bedeutung: Wie gross ist das landschaftsökologische Lebensraumpotenzial für das Auerhuhn in den Alpen, wie ist es räumlich verteilt? Wie verteilen sich die lokalen Auerhuhnpopulationen in diesen Potenzialgebieten? Wie gross sind die Bestände? Welche Faktoren beeinflussen den Status von Lokal- und Regionalpopulationen? Welche Populationen haben abgenommen oder sind verschwunden, welche sind stabil (Source-Sink-Mechanismen)? Zwischen welchen räumlich getrennten Populationen besteht ein Austausch? Welche Landschaftselemente wirken als Barrieren? Entwickeln einer nicht-invasiven Methode für die genetische Differenzierung von Populationen, sowie für Bestandsschätzungen und Monitoring.
Cydia pomonella granulovirus (CpGV, Baculoviridae) is one of the most important agents for the control of codling moth (CM, Cydia pomonella, L.) in both biological and integrated pest management. The rapid emergence of resistance against CpGV-M, which was observed in about 40 European CM field populations from 2003 on, could be traced back to a single, dominant, sex-linked gene. Since then, resistance management has been based on mixtures of new CpGV isolates (CpGV-I12, -S), which are able to overcome this resistance. Recently, resistance even to these novel isolates was observed in CM field populations. This resistance does not follow the described dominant, sex-linked inheritance trait. At the same time, another isolate CpGV-V15 was identified showing high virulence against these resistant populations. To elucidate this novel resistance mechanism and to identify the resistance gene(s) involved, we propose a comprehensive analysis of this resistance on the cellular and genomic level of codling moth. Because of the lack of previous knowledge of the molecular mechanisms of virus resistance in insects, several different and complementary approaches will be pursued. This study will not only give an in-depth insight into the genetic possibilities for development of baculovirus resistance in CM field populations and how the virus overcomes it, but can also serve as an important model for other baculovirus-host interaction systems.
Traditional Indonesian homegardens harbour often high crop diversity, which appears to be an important basis for a sustainable food-first strategy. Crop pollination by insects is a key ecosystem service but threatened by agricultural intensification and land conversion. Gaps in knowledge of actual benefits from pollination services limit effective management planning. Using an integrative and agronomic framework for the assessment of functional pollination services, we will conduct ecological experiments and surveys in Central Sulawesi, Indonesia. We propose to study pollination services and net revenues of the locally important crop species cucumber, carrot, and eggplant in traditional homegardens in a forest distance gradient, which is hypothesized to affect bee community structure and diversity. We will assess pollination services and interactions with environmental variables limiting fruit maturation, based on pollination experiments in a split-plot design of the following factors: drought, nutrient deficiency, weed pressure, and herbivory. The overall goal of this project is the development of 'biodiversity-friendly' land-use management, balancing human and ecological needs for local smallholders.
Biogeochemical interfaces shape microbial community function in soil. On the other hand microbial communities influence the properties of biogeochemical interfaces. Despite the importance of this interplay, basic understanding of the role of biogeochemical interfaces for microbial performance is still missing. We postulate that biogeochemical interfaces in soil are important for the formation of functional consortia of microorganisms, which are able to shape their own microenvironment and therefore influence the properties of interfaces in soil. Furthermore biogeochemical interfaces act as genetic memory of soils, as they can store DNA from dead microbes and protect it from degradation. We propose that for the formation of functional biogeochemical interfaces microbial dispersal (e.g. along fungal networks) in response to quality and quantity of bioavailable carbon and/or water availability plays a major role, as the development of functional guilds of microbes requires energy and depends on the redox state of the habitat.To address these questions, hexadecane degradation will be studied in differently developed artificial and natural soils. To answer the question on the role of carbon quantity and quality, experiments will be performed with and without litter material at different water contents of the soil. Experiments will be performed with intact soil columns as well as soil samples where the developed interface structure has been artificially destroyed. Molecular analysis of hexadecane degrading microbial communties will be done in vitro as well as in situ. The corresponding toolbox has been successfully developed in the first phase of the priority program including methods for genome, transcriptome and proteome analysis.
The geomagnetic field shields our habitat against solar wind and radiation from space. Due to the geometry of the field, the shielding in general is weakest at high latitudes. It is also anomalously weak in a region around the south Atlantic known as South Atlantic Anomaly (SAA), and the global dipole moment has been decreasing by nearly 10 percent since direct measurements of field intensity became possible in 1832. Due to our limited understanding of the geodynamo processes in Earths core, it is impossible to reliably predict the future evolution of both dipole moment and SAA over the coming decades. However, lack of magnetic field shielding as would be a consequence of further weakening of dipole moment and SAA region field intensity would cause increasing problems for modern technology, in particular satellites, which are vulnerable to radiation damage. A better understanding of the underlying processes is required to estimate the future development of magnetic field characteristics. The study of the past evolution of such characteristics based on historical, archeo- and paleomagnetic data, on time-scales of centuries to millennia, is essential to detect any recurrences and periodicities and provide new insights in dynamo processes in comparison to or in combination with numerical dynamo simulations. We propose to develop two new global spherical harmonic geomagnetic field models, spanning 1 and 10 kyrs, respectively, and designed in particular to study how long the uninterrupted decay of the dipole moment has been going on prior to 1832, and if the SAA is a recurring structure of the field.We will combine for the first time all available historical and archeomagnetic data, both directions and intensities, in a spherical harmonic model spanning the past 1000 years. Existing modelling methods will be adapted accordingly, and existing data bases will be complemented with newly published data. We will further acquire some new archeomagnetic data from the Cape Verde islands from historical times to better constrain the early evolution of the present-day SAA. In order to study the long-term field evolution and possible recurrences of similar weak field structures in this region, we will produce new paleomagnetic records from available marine sediment cores off the coasts of West Africa, Brazil and Chile. This region is weakly constrained in previous millennial scale models. Apart from our main aim to gain better insights into the previous evolution of dipole moment and SAA, the models will be used to study relations between dipole and non-dipole field contributions, hemispheric symmetries and large-scale flux patterns at the core-mantle boundary. These observational findings will provide new insights into geodynamo processes when compared with numerical dynamo simulation results.Moreover, the models can be used to estimate past geomagnetic shielding above Earths surface against solar wind and for nuclide production from galactic cosmic rays.
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.
Electrical conductivity is a key parameter in models of magnetic field generation in planetary interiors through magneto-hydrodynamic convection. Measurements of this key material parameter of liquid metals is not possible to date by experiments at relevant conditions, and dynamo models rely on extrapolations from low pressure/temperature experiments, or more recently on ab-initio calculations combining molecular dynamics and linear response calculations, using the Kubo-Greenwood formulation of transport coefficients. Such calculations have been performed for Fe, Fe-alloys, H, He and H-He mixtures to cover the interior of terrestrial and giant gas planets. These simulations are computationally expensive, and an efficient accurate scheme to determine electrical conductivities is desirable. Here we propose a model that can, at much lower computational costs, provide this information. It is based on Ziman theory of electrical conductivity that uses information on the liquid structure, combined with an internally consistent model of potentials for the electron-electron, electron-atom, and atom-atom interactions. In the proposal we formulate the theory and expand it to multi-component systems. We point out that fitting the liquid structure factor is the critical component in the process, and devise strategies on how this can be done efficiently. Fitting the structure factor in a thermodynamically consistent way and having a transferable electron-atom potential we can then relatively cheaply predict the electrical conductivity for a wide range of conditions. Only limited molecular dynamics simulations to obtain the structure factors are required.In the proposed project we will test and advance this model for liquid aluminum, a free-electron like metal, that we have studied with the Kubo-Greenwood method previously. We will then be able to predict the conductivities of Fe, Fe-light elements and H, He, as well as the H-He system that are relevant to the planetary interiors of terrestrial and giant gas planets, respectively.
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