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 - ranging from groundwater to hydrothermal vents - and cover spatial scales from micrometers (microbial scale) to kilometers (marsh settings), and time scales from seconds to thousands of years.


It is made possible through generous support from the National Science Foundation, the Department of Energy, the Gulf of Mexico Research Initiative, the Department of Agriculture, Georgia Sea Grant, as well as Franklin College.

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