Drivers and Trends in the Size and Severity of Forest Fires Endangering WUI Areas: A Regional Case Study

Author:

Rodriguez-Jimenez Fernando1ORCID,Fernandes Paulo M.2ORCID,Fernández-Guisuraga José Manuel23ORCID,Alvarez Xana4ORCID,Lorenzo Henrique1ORCID

Affiliation:

1. CINTECX, GeoTECH Research Group, Universidade de Vigo, 36310 Vigo, Spain

2. Centro de Investigação e de Tecnologias Agroambientais e Biológicas, CITAB, Inov4Agro, Universidade de Trás-os-Montes e Alto Douro, 5000-801 Vila Real, Portugal

3. Departamento de Biodiversidad y Gestión Ambiental, Facultad de Ciencias Biológicas y Ambientales, Universidad de León, 24071 León, Spain

4. School of Forestry Engineering, Universidade de Vigo, 36005 Pontevedra, Spain

Abstract

This study explored, for the first time, the drivers shaping large fire size and high severity of forest fires classified as level-2 in Spain, which pose a great danger to the wildland–urban interface. Specifically, we examined how bottom-up (fuel type and topography) and top-down (fire weather) controls shaped level-2 fire behavior through a Random Forest classifier at the regional scale in Galicia (NW Spain). We selected for this purpose 93 level-2 forest fires. The accuracy of the RF fire size and severity classifications was remarkably high (>80%). Fire weather overwhelmed bottom-up controls in controlling the fire size of level-2 forest fires. The likelihood of large level-2 forest fires increased sharply with the fire weather index, but plateaued at values above 40. Fire size strongly responded to minimum relative humidity at values below 30%. The most important variables explaining fire severity in level-2 forest fires were the same as in the fire size, as well as the pre-fire shrubland fraction. The high-fire-severity likelihood of level-2 forest fires increased exponentially for shrubland fractions in the landscape above 50%. Our results suggest that level-2 forest fires will pose an increasing danger to people and their property under predicted scenarios of extreme weather conditions.

Funder

Agencia Estatal de Investigación

Fundação para a Ciência e Tecnologia

Fundación Ramón Areces

Publisher

MDPI AG

Subject

Forestry

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