We investigate human impacts on the community composition of macroinvertebrates and fish in Swiss rivers with statistical analyses of existing monitoring data, food web analyses, and computer models.
Landuse and climate change effects on soil erosion and water quality in the Kagera Transboundary Watershed in the Upper Catchment of Lake Victoria Basin.
With continuing population growth, increasing affluence and economic development, and diet change towards more meat consumption, the demand for food will also increase.
Calibration of watershed-scale models suffer from a number of conceptual and technical issues, which we believe require a more careful consideration by the scientific community.
Application of a Spatially Explicit Bio-physical Crop Model to Assess Drought Impact on Crop Yield and Crop-Drought Vulnerability in Sub-Saharan Africa.
Scalable Bayesian inference framework for uncertainty quantification in stochastic models using thousands of processors in parallel at the Swiss Supercomputing Center and ETH Zurich.
Development of a semi-distributed hydrological model with a “flexible” approach. Testing and comparing of different model structures to combine modeling and experimenting into a learning process.
We compare invasions in aquatic and terrestrial ecosystems primarily at large (national) spatial scales and among several higher-level taxa (insects, molluscs, crustaceans, all major vertebrate classes, and plants).
Community detection consists of extracting the affinity between agents of a system, which is extracted from quantities such as the frequency of interactions.