December 3, 2021 2:48 am
Data-based wildfire risk model for Mediterranean ecosystems – case study of the Concepción metropolitan area in central Chile
Edilia Jaque Castillo, Alfonso Fernández, Rodrigo Fuentes Robles, and Carolina G. Ojeda
Nat. Hazards Earth Syst. Sci., 21, 3663–3678, https://doi.org/10.5194/nhess-21-3663-2021, 2021
Wildfires pose risks to lives and livelihoods in many regions of the world. Particularly in Chile’s central-south region, climate change, widespread land use change, and urban growth tend to increase the likelihood of fire occurrence. Our work focused on the Concepción metropolitan area, where we developed a model using machine learning in order to map wildfire risks. We found that the interface between urban areas and forestry plantations presents the highest risks.