Database creation for assessing the impacts of extreme events on the conservation of plant diversity, coastal habitats and biological invasions

- Collection and manipulation of forest data in high species diversity experiments- Conceptualisation and implementation of individual-based models (IBM) for studying tree interactions- Use of advanced machine learning algorithms for prediction of forest growth data (16896 observations), with 77% accuracy on validation data- Selection of predictors by Permutation Feature Importance

Mathematical models applied to the natural sciences