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Título
Building patterns and fuel features drive wildfire severity in wildland-urban interfaces in Southern Europe
Autor
Facultad/Centro
Área de conocimiento
Título de la revista
Landscape and Urban Planning
Cita Bibliográfica
Fernández-García, V., Beltrán-Marcos, D., & Calvo, L. (2023). Building patterns and fuel features drive wildfire severity in wildland-urban interfaces in Southern Europe. Landscape and Urban Planning, 231, Article e104646. https://doi.org/10.1016/J.LANDURBPLAN.2022.104646
Editorial
Elsevier
Fecha
2023
ISSN
0169-2046
Resumen
[EN] Fire danger analysis is crucial for landscape planning, which is particularly relevant in vulnerable areas such as the wildland-urban interface (WUI). The aim of our work is to investigate the capacity of fuel characteristics to predict burn severity in different WUI typologies classified according to nearby building density criteria. To achieve this goal, we selected 23 wildfires across Southern Europe, in which we differentiated non WUI areas, isolated, scattered, dense and very dense WUIs. Moreover, we spatialized burn severity and different fuel metrics using multispectral and radar satellite imagery. This information was used to analyze burn severity, and to identify its drivers in the different WUI typologies through analysis of variance, correlation analysis and machine learning models. Our results indicate that burn severity is lower in WUIs of clustered buildings than in non-WUI areas, which were also the most homogeneous in terms of vegetation cover. Moreover, we found that vegetation biophysical properties related to the amount of living fuel (fraction of vegetation cover and fraction of absorbed photosynthetically active radiation) showed the highest influence on burn severity in all WUI typologies. We also found that burn severity is less predictable in dense and very dense WUIs than in the rest, which can be attributed to their greater landscape complexity, presence of artificial structures and efficiency of extinction efforts. Our results serve to guide landscape management strategies, and impulse next-generation fire danger models, which should be based not only on synoptic fire weather indices but also on landscape-scale susceptibility to severe fires
Materia
Palabras clave
Peer review
SI
ID proyecto
- info:eu-repo/grantAgreement/AEI/Programa Estatal de I+D+i Orientada a los Retos de la Sociedad/AGL2017-86075-C2-1-R/ES/Severidad en grandes incendios en sístemas forestales propensos al fuego: condicionantes, efectos en la previsión de servicios y soluciones de gestión pre- y post-incendio/FIRESEVES
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