Marieke Wesselkamp

Marieke Wesselkamp is a postgraduate researcher in the Department of Biometry and Environmental System Analysis at the Albert Ludwig University of Freiburg, Germany. She is affiliated with the Faculty of Biology and works under the supervision of Prof. Dr. Carsten F. Dormann. Her research integrates advanced statistical modeling, machine learning, and environmental science to tackle challenges in ecosystem and climate modeling.

Her research interests focus on environmental modeling, particularly through the application of machine learning and spatial statistics in ecological systems. She specializes in process-guided AI, where ecological principles are embedded into neural networks to improve predictive accuracy. Her work spans carbon cycle modeling, land surface forecasting, and climate change adaptation using spatially varying coefficient models and GIS tools.

The recent publications highlight a strong trend toward integrating mechanistic ecological understanding with data-driven models. Her work demonstrates how hybrid modeling approaches—combining neural networks with ecological constraints—can outperform traditional models in predicting ecosystem dynamics. The focus areas include carbon turnover, land surface state emulation, and spatial modeling for conservation planning.

Marieke has not received any publicly listed scientific awards or honors based on the available information.

She is actively involved in research projects but there is no mention of her supervising students or securing independent grants. However, her collaborations with leading institutions such as the Max-Planck Institute and international teams indicate strong integration into the academic research community.

She is part of the research team led by Prof. Dormann, which focuses on biometry, environmental system analysis, and statistical ecology. The group emphasizes interdisciplinary methods, combining field data, modeling, and computational techniques to address pressing environmental challenges.