Agent-Based methods for representing anthropogenic fire in Dynamic Global Vegetation Models (DGVMs)

This project aims to i) create landscape-scale Agent-Based modelling (ABM) of anthropogenic fire for case study locations (e.g. Mediterranean Basin, Tropical Africa), ii) develop methods to emulate results from (i) to apply at broader scales. Outcomes will improve our understanding about how ABM may contribute to improving representation of anthropogenic fire in wildfire models and DGVMs.