Das Projekt "Biodiversität und Raumentwicklung" untersucht Zusammenhänge zwischen Biodiversität und Raumentwicklung auf Landschaftsebene. Dafür analysieren wir Daten des Schweizer Mittelands im Allgemeinen sowie der Kantone Aargau und Luzern im Speziellen für möglichst verschiedene Organismengruppen und unterschiedliche Aspekte der Biodiversität. Die Resultate werden kartographisch dargestellt und können zur Visualisierung von Szenarien der Landschaftsentwicklung eingesetzt werden.
Tree species migration can considerably slow down biome boundary shifts. We develop methods to simulate migration reliably and efficiently with coarse resolution.
ENNIS is a project that seeks to understand how the evolutionary history of the ecological niche can influence whether species become invasive in regions to which they are introduced.
Spatial interpolation of biological and biophysical variables is of central interest to many landscape ecologists. In this study, scientists evaluated the utility, accuracy, and effectiveness of ordinary kriging, inverse-distance weighting, and thin-plate smoothing splines with tensions using soil samples from the Omo Basin, Ethiopia.
In the scientific part of the project "Landscape Monitoring Switzerland", basic knowledge for new indicators of landscape quality is developed. This includes both landscape ecological and social scientific approaches.
Greenhouse gases emitted from vegetation feed back on the atmospheric chemistry and climate. We aim to simulate such vegetation produced greenhouse gases and to provide information on emissions from other sources.
High resolution climate maps were generated for NW-Wyoming (USA) in order to measure tree species realized niches. The goal of this study was to define species parameters for a spatially-explicit, dynamic forest simulation model.
A forest ecosystem model, extended with an avalanche module, is used to study the feedback between climate change driven ecosystem and land use dynamics.
This project is supported by the Swiss National Science Foundation. It belongs to the group of projects aiming to improve the TreeMig forest landscape model for climate change impact assessments on regional to continental scales.