Master thesis - Unlocking the power of tree-ring data for modelling forest carbon dynamics
Image credit: Pixabay.com, https://www.ncei.noaa.gov/news/how-can-tree-rings-teach-us-about-climate
Context: Tree-ring data is available in spades but has only marginally been used in the context of climate impacts on the land carbon cycle.
Aim: This project will develop methods to use information of annual tree-ring anomalies for constraining modelled tree growth and forest dynamics in response to climate variability.
Methods: Vegetation modelling (BiomeEP model) and model-data evaluation and calibration.
Main supervision: Prof. Dr. Benjamin Stocker Co-supervision: Dr. Stefan Klesse, WSL Birmensdorf
