Background and Objectives: The project area is located in the Ashanti Region of Ghana / West Africa in the transition zone of the moist semideciduous forest and tropical savannah zone. Main land use in this region is subsistence agriculture with large fallow areas. As an alternative land-use, forest plantations are under development by the Ghanaian wood processing company DuPaul Wood Treatment Ltd. Labourers from the surrounding villages are employed as permanent or casual plantation workers. Within three forest plantation projects of approximately 6,000 ha, DuPaul offers an area of 164 ha (referred to as Papasi Plantation) - which is mainly planted with Teak (Tectona grandis) - for research purposes. In return, the company expects consultations to improve the management for sustainable timber and pole production with exotic and native tree species. Results: In a first research approach, the Papasi Plantation was assessed in terms of vegetation classification, timber resources (in qualitative and quantitative terms) and soil and site conditions. A permanent sampling plot system was established to enable long-term monitoring of stand dynamics including observation of stand response to silvicultural treatments. Site conditions are ideally suited for Teak and some stands show exceptionally good growth performances. However, poor weed management and a lack of fire control and silvicultural management led to high mortality and poor growth performance of some stands, resulting in relative low overall growth averages. In a second step, a social baseline study was carried out in the surrounding villages and identified landowner conflicts between some villagers and DuPaul, which could be one reason for the fire damages. However, the study also revealed a general interest for collaboration in agroforestry on DuPaul land on both sides. Thirdly, a silvicultural management concept was elaborated and an improved integration of the rural population into DuPaul's forest plantation projects is already initiated. If landowner conflicts can be solved, the development of forest plantations can contribute significantly to the economic income of rural households while environmental benefits provide long-term opportunities for sustainable development of the region. Funding: GTZ supported PPP-Measure, Foundation
In hydrology, the relationship between water storage and flow is still fundamental in characterizing and modeling hydrological systems. However, this simplification neglects important aspects of the variability of the hydrological system, such as stable or instable states, tipping points, connectivity, etc. and influences the predictability of hydrological systems, both for extreme events as well as long-term changes. We still lack appropriate data to develop theory linking internal pattern dynamics and integral responses and therefore to identify functionally similar hydrological areas and link this to structural features. We plan to investigate the similarities and differences of the dynamic patterns of state variables and the integral response in replicas of distinct landscape units. A strategic and systematic monitoring network is planned in this project, which contributes the essential dynamic datasets to the research group to characterize EFUs and DFUs and thus significantly improving the usual approach of subdividing the landscape into static entities such as the traditional HRUs. The planned monitoring network is unique and highly innovative in its linkage of surface and subsurface observations and its spatial and temporal resolution and the centerpiece of CAOS.
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.
Im letzten Jahrzehnt war der grönländische Eisschild mehreren Extremereignissen ausgesetzt, mit teils unerwartet starken Auswirkungen auf die Oberflächenmassebilanz und den Eisfluss, insbesondere in den Jahren 2010, 2012 und 2015. Einige dieser Schmelzereignisse prägten sich eher lokal aus (wie in 2015), während andere fast die gesamte Eisfläche bedeckten (wie in 2010).Mit fortschreitendem Klimawandel ist zu erwarten, dass extreme Schmelzereignisse häufiger auftreten und sich verstärken bzw. länger anhalten. Bisherige Projektionen des Eisverlustes von Grönland basieren jedoch typischerweise auf Szenarien, die nur allmähliche Veränderungen des Klimas berücksichtigen, z.B. in den Representative Concentration Pathways (RCPs), wie sie im letzten IPCC-Bericht genutzt wurden. In aktuellen Projektionen werden extreme Schmelzereignisse im Allgemeinen unterschätzt - und welche Konsequenzen dies für den zukünftigen Meeresspiegelanstieg hat, bleibt eine offene Forschungsfrage.Ziel des vorgeschlagenen Projektes ist es, die Auswirkungen extremer Schmelzereignisse auf die zukünftige Entwicklung des grönländischen Eisschildes zu untersuchen. Dabei werden die unmittelbaren und dauerhaften Auswirkungen auf die Oberflächenmassenbilanz und die Eisdynamik bestimmt und somit die Beiträge zum Meeresspiegelanstieg quantifiziert. In dem Forschungsprojekt planen wir zudem, kritische Schwellenwerte in der Häufigkeit, Intensität sowie Dauer von Extremereignissen zu identifizieren, die - sobald sie einmal überschritten sind - eine großräumige Änderung in der Eisdynamik auslösen könnten.Zu diesem Zweck werden wir die dynamische Reaktion des grönländischen Eisschilds in einer Reihe von Klimaszenarien untersuchen, in denen extreme Schmelzereignisse mit unterschiedlicher Wahrscheinlichkeit zu bestimmten Zeitpunkten auftreten, und die Dauer und Stärke prognostisch variiert werden. Um indirekte Effekte durch verstärktes submarines Schmelzen hierbei berücksichtigen zu können, werden wir das etablierte Parallel Ice Sheet Model (PISM) mit dem Linearen Plume-Modell (LPM) koppeln. Das LPM berechnet das turbulente submarine Schmelzen aufgrund von Veränderungen der Meerestemperatur und des subglazialen Ausflusses. Es ist numerisch sehr effizient, so dass das gekoppelte PISM-LPM Modell Ensemble-Läufe mit hoher Auflösung ermöglicht. Folglich kann eine breite Palette von Modellparametern und Klimaszenarien in Zukunftsprojektionen in Betracht gezogen werden.Mit dem interaktiv gekoppelten Modell PISM-LPM werden wir den Beitrag Grönlands zum Meeresspiegelanstieg im 21. Jahrhundert bestimmen, unter Berücksichtigung regionaler Veränderungen von Niederschlag, Oberflächen- und Meerestemperaturen, und insbesondere der Auswirkungen von Extremereignissen. Ein Hauptergebnis wird eine Risikokarte sein, die aufzeigt, in welchen kritischen Regionen Grönlands zukünftige extreme Schmelzereignisse den stärksten Eisverlust zur Folge hätten.
In Fragebogen-Untersuchungen zur Lärmwirkung wurden bisher sehr unterschiedliche Operationalisierungen von Wirkungsvariablen (wie z.B. Belästigung, Störung von Aktivitäten) und außer-akustischen Faktoren (sog. Moderatoren wie z.B. Lärmempfindlichkeit, misfeasance) verwendet. Deshalb hat sich die Arbeitsgruppe community response der International Commission on the Biological Effects of Noise (ICBEN, Team No. 6) als langfristiges Ziel die Entwicklung von Fragebogen-Guidelines und die Formulierung eines Muster-Fragebogens für die Lärmwirkungsforschung gesetzt. D.h. es soll ein Vorschlag erarbeitet werden, in welcher Form globale und spezifische Lärmwirkungen in Befragungen erhoben werden sollten. Um dieses Vorhaben zu unterstützen, hat der Arbeitskreis Ökologische Lärmforschung die Erstellung einer systematischen Übersicht über vorhandene Fragebögen aus Lärmwirkungsstudien auf internationaler Ebene in Angriff genommen. Diese Übersicht soll es u.a. ermöglichen, die Struktur von verschiedenen Fragebögen sowie die in ihnen verwendeten Operationalisierungen für Lärmwirkungs- und Moderatorvariablen (hinsichtlich Art der Frageformulierung sowie der Antwortformate) zu vergleichen. Für den/die einzelne/n Lärmforscher/in bietet diese Übersicht die Möglichkeit, sich auf sehr effiziente Art und Weise darüber zu informieren, wie bestimmte Konstrukte in bisherigen Untersuchungen operationalisiert worden sind bzw. welche Alternativen zu den bereits selbst angewandten Operationalisierungen bestehen. Nach einer systematischen Ermittlung von Namen und Adressen einschlägiger Lärmforscher/innen, wurden diese um die Zusendung von Fragebögen sowie ergänzender Materialien aus eigenen Lärmwirkungsstudien gebeten. Die zugesandten Fragebögen werden gegebenenfalls übersetzt und mit der Methode der qualitativen Inhaltsanalyse ausgewertet. Hierbei werden die Fragebögen im Hinblick auf formelle Aspekte (z.B. Jahr der Erhebung, Sprache, Art der Befragungsmethode) wie auch im Hinblick auf strukturelle Aspekte (z.B. Umfang des Fragebogens, abgefragte Variablengruppen, Antwortformate) ausgewertet. Hauptgegenstand der Auswertung ist aber insbesondere die Auswertung der Lärmwirkungsvariablen (z.B. die Abfrage der globalen Lärmbelästigung, Aktivitätenstörungen, Kommunikationsstörungen) sowie der Moderatorvariablen (z.B. Lärmempfindlichkeit, Lärmbewältigungsvermögen, misfeasance). Parallel dazu wurde eine Datenbank entwickelt, in der die Ergebnisse der Analysen dargestellt und verwaltet werden. Diese Datenbank wird ab November 2001 im Internet unter http://www.eco.psy.ruhr-uni-bochum.de/nqd für jede/n interessierte/n Forscher/in zugänglich und nutzbar sein. Langfristig ist darüber hinaus geplant, ein Archiv mit den Original-Fragebögen aufzubauen, in dem einzelne Fragebögen auf Wunsch eingesehen werden können.
For surface soils, the mechanisms controlling soil organic C turnover have been thoroughly investigated. The database on subsoil C dynamics, however, is scarce, although greater than 50 percent of SOC stocks are stored in deeper soil horizons. The transfer of results obtained from surface soil studies to deeper soil horizons is limited, because soil organic matter (SOM) in deeper soil layers is exposed to contrasting environmental conditions (e.g. more constant temperature and moisture regime, higher CO2 and lower O2 concentrations, increasing N and P limitation to C mineralization with soil depth) and differs in composition compared to SOM of the surface layer, which in turn entails differences in its decomposition. For a quantitative analysis of subsoil SOC dynamics, it is necessary to trace the origins of the soil organic compounds and the pathways of their transformations. Since SOM is composed of various C pools which turn over on different time scales, from hours to millennia, bulk measurements do not reflect the response of specific pools to both transient and long-term change and may significantly underestimate CO2 fluxes. More detailed information can be gained from the fractionation of subsoil SOM into different functional pools in combination with the use of stable and radioactive isotopes. Additionally, soil-respired CO2 isotopic signatures can be used to understand the role of environmental factors on the rate of SOM decomposition and the magnitude and source of CO2 fluxes. The aims of this study are to (i) determine CO2 production and subsoil C mineralization in situ, (ii) investigate the vertical distribution and origin of CO2 in the soil profile using 14CO2 and 13CO2 analyses in the Grinderwald, and to (iii) determine the effect of environmental controls (temperature, oxygen) on subsoil C turnover. We hypothesize that in-situ CO2 production in subsoils is mainly controlled by root distribution and activity and that CO2 produced in deeper soil depth derives to a large part from the mineralization of fresh root derived C inputs. Further, we hypothesize that a large part of the subsoil C is potentially degradable, but is mineralized slower compared with the surface soil due to possible temperature or oxygen limitation.
Recent discussions on the path eco-hydromorphic research has followed in the past decades highlight the need for greater ecological input into this field. Traditional approaches have been criticized for being largely correlation-based (Vaughan et al., 2009) ecological black boxes (Leclerc, 2005) and strongly relying on weak, disproven and/or outdated assumptions about the dynamics of stream biota (Lancaster & Downes, 2010). In recognition of this, process-oriented research aiming at elucidating and quantifying causal mechanisms has been proposed as a promising approach, though challenging, to study the relations between flow, morphodynamics and biological populations in running waters. In terms of levels of biological organization, it has been recognized that processes determining the response of aquatic biota to hydromorphological alteration occur mainly at the population level. In this sense, relating demographic rates to flow and morphology seems to offer great potential for progress (Lancaster & Downes, 2010). Thus, tapping into existing ecological knowledge (e.g., key patch approach for habitat networks, Verboom et al. 2001; metapopulation theory, Levins 1970; Hanski & Gaggiotti 2004, landscape-scale estimations of habitat suitability and carrying capacity, Reijnen et al. 1995; Duel et al. 1995 2003; population-level viability estimations; Akçakaya 2001; resource utilization scales, ONeill et al. 1988; habitat-use patterns, Milne et al. 1989) in order to link ecology to hydromorphology at a more fundamental level constitutes an important path towards better science and management.
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.
This project is aimed at the characterization of the systemic reprogramming in barley, which modulates the compatible interaction with the biotrophic leaf pathogen Blumeria graminis f.sp. hordei upon root infestation with the mutualistic endophyte Piriformospora indica. We have recently shown that the basidiomycete P. indica - upon successful establishment in the roots - reprograms barley to salt stress tolerance, resistance to root diseases and higher yield (Waller et al., 2005). Successful powdery mildew infections in barley leaves are also disturbed by the mutualistic fungus. These processes are associated with a strong change in plant metabolism, especially with a drastic alteration of leaf and root antioxidants. On the basis of these findings we will perform an in-depth analysis of the barley metabolome (B6) and transcriptome (B7) with two specific foci: First, to elucidate the process of establishment of the mutualistic fungus within the barley roots; second, to characterize elements of the systemic response in leaves leading to an interruption or failure of compatibility processes required for successful establishment of biotrophic leaf pathogens like Blumeria. New gene candidates will be pre-selected systematically for their regulatory role in compatibility by means of transiently transformed barley leaves upon Blumeria inoculation. Stable transgenic barley and maize lines (B3) generated with verified gene candidates and genes identified by other projects (A1, A2, B5, B6) will be tested with Blumeria and P. indica. By comparing candidate genes in the different plant - microbe systems, we will identify common regulatory processes, metabolites and metabolic networks implicated in compatibility including those required for successful interactions with mutualistic fungi.
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