The aim of the Biodiversity/Theoretical Ecology group is to understand how diversity on different levels impacts ecosystem functioning and ecosystem services.
To assess future ecosystem functioning and the supply of ecosystem services, it is essential to understand how variability on different levels influences the dynamics of an ecosystem.
We look at variability on the trait to landscape level. For this, we use different modelling approaches to simulate the dynamics of populations and ecosystems. By including variability on different levels, we can assess the importance of diverse structures in an ecosystem.
Savannas as characterised by highly variable precipitation and the risk of degradation is high. We use the ecohydrological model EcoHyD to assess the coupled dynamics of water and vegetation in savannas. Understanding these is a prerequisite to predict the impacts of climate change and land use on the ecosystem. The following projects analyse long-term savanna dynamics:
The project aims at evaluating buffer mechanisms on different levels of an ecosystem in the species-rich Mediterranean-type shrublands by an ecohydrological modeling approach.
The project aims at assessing the linkage between plant traits and the provision of ecosystem services and trade-offs among them under the impact of environmental change to improve future restoration outcomes in Mediterranean-type ecosystems.
The project aims at analysing whether climate change induced shifts in vegetation cover stabilize or destabilze soil moisture in drylands with the ecohydrological model SOILWAT.
The project aims at figuring out whether the current representation of grass species in models is sufficient to estimate the response of grasslands to climate change or whether the representation of more trait variability and thus biodiversity is required.
The project aims at assessing the influence of biological soil crusts on dryland hydrology on different spatial scales with a modelling approach. A special focus is put on the impacts of future environmental changes on these interactions. This allows for the assessment of long-term ecological processes and landscape development under future climate change conditions.
Integrating the holistic trophic-network approach into the framework of biodiversity-ecosystem functions relations by using an Ecological Network Analysis (ENA) tools applied to the empirical long-term and large-scale biodiversity experiment data on grassland ecosystems. With this study, we will elucidate the hidden effects of biodiversity loss on material and energy flows through the above- and below-ground trophic networks and ultimately its impacts on ecosystem stability.
As part of the Collaborative Research Centre 973: ‘Priming and Memory of Organismic Responses to Stress’, this project will focus on the simulation and modelling of the dynamics within microbial communities of different species compositions under the influence of heat stress.
The project aims to understand the role of grazing on community assembly at zonal alpine grasslands (meadow, steppe and desert-steppe) in the perspectives of growth form composition and functional trait diversity, and to determine effects of changes in alpine growth form composition or plant functional trait diversity on the spatial productivity variation of alpine grasslands.
The aim of this project is to characterize ecosystem condition, in terms of degradation or regeneration stadia, ecosystem services provision and associated biotic and abiotic drivers of differently impacted Bosques altoandinos.
ClimateCost (the Full Costs of Climate Change) is a major research project on the economics of climate change, funded from the European Community's Seventh Framework Programme.
The objective of the project is to advance knowledge in three areas:
Within ClimateCost, we assessed the impacts of various climate change scenarios on various ecosystems to contribute to the integrated assessment approachment.
Humans greatly benefit from ecosystems by their services. For five selected ecosystem services, we monitor the annual change using modelling techniques and national statistics. With this, we want to test, whether it is possible to detect critical changes in service provision and its causes.
Bromeliads are tropical epiphytic plants that harbor small aquatic food webs between their leaves, consisting of protists and detritivorous and predatory insect larvae.In a modelling study, we investigate the dynamics of different functional groups and their interactions dependent on expernal drivers accompanied with experimental studies in the Petermann group.