Due to the variety of processes occurring simultaneously and their complex interactions, a quantitative understanding of elemental cycling typically requires the use of (mathematical) models.

Integrating process-based knowledge from different disciplines into numerical models allows us to test our understanding of the natural environment, to reason on natural variability and, potentially, to predict responses to natural variations and human activity.

Our research interests encompass a wide variety of environmental systems, covering spatial scales from micro to kilometers and time scales from seconds to thousands of years.