This project is part of the doctoral training unit FORFUS: Forest function under stress
This PhD project focuses on developing cutting-edge mathematical and computational models to better understand the critical role of mycorrhizal fungi in tree-soil interactions. Trees rely on their root systems not only to absorb nutrients and water but also to exchange carbon with soil ecosystems. Mycorrhizal fungi, forming symbiotic networks with tree roots, act as essential mediators in these processes, mobilizing nutrients and enhancing water uptake for the tree.
The project aims to create a robust Partial Differential Equation (PDE)-based modeling framework that links the dynamic growth of tree roots with the expanding network of mycorrhizal hyphae. This innovative approach will test the hypothesis that a dynamic root-fungal system is more effective at carbon-for-nutrient exchange than static root systems. By integrating insights from soil structure, moisture, and nutrient availability, the model will provide a comprehensive understanding of how trees adapt and thrive in diverse environments.
This interdisciplinary project merges approaches from neuro-biology, soil and plant science, leveraging existing research and controlled laboratory experiments. Advanced computational techniques will enable rapid simulations, paving the way for innovative applications in tree ecology and environmental management.
Prof. Stéphane Bordas, University of Luxembourg
About Stanislaus Schymanski
I am a Senior Lead Research and Technology Associate at LIST, where I started a group on "Water and vegetation in a changing environment" (WAVE) in 2017, funded through an ATTRACT fellowship by the Luxembourg Research Fund (FNR). I hold a degree in Biology from the University of Freiburg (Germany) and a PhD in Environmental Engineering from the University of Western Australia. Between my PhD and current employment, I worked as a scientist at the Max Planck Instutute for Biogeochemistry in Jena (2007-2011) and the Swiss Federal Institute of Technology (ETH) in Zurich (2011-2017). Throughout my career, I have been investigating the interactions between vegetation, soil and atmosphere and the resulting hydrologic behaviour of hillslopes and catchments. In search of general laws guiding these interactions, my research focuses on physical constraints, biological adjustments and macroscopic extremum principles such as maximum net carbon profit or maximum entropy production. I combine mathematical analysis with numerical modelling to generate hypotheses and engage in lab and field observations to test these hypotheses and formulate new questions.
Being a strong advocate for Open Science, I am maintaining a Python package for reproducible and transparent mathematical modelling (https://essm.readthedocs.io) and contributing to the development of an open science platform (https://renkulab.io), which I am also using for my research. I am also editor of the open access and open-review journal Hydrology and Earth System Science (HESS).
Skill & Expertise