Modelling wildfire activity in wildland–urban interface (WUI) areas of Sardinia, Italy
Scarpa, Carla ; Elia, Mario ; D’Este, Marina ; Salis, Michele ; Rodrigues, Marcos (Universidad de Zaragoza) ; Arca, Bachisio ; Duce, Pierpaolo ; Fiori, Maria Antonella Francesca ; Pellizzaro, Grazia
Resumen: Background: Wildfire frequency, magnitude and impacts in wildland–urban interface (WUI) areas are increasing in the Mediterranean Basin.Aims: We investigated the role played by socio-economic, vegetation, climatic, and zootechnical drivers on WUI wildfire patterns (area burned and wildfire ignitions) in Sardinia, Italy. Methods: We defined WUI as the 100-m buffer area of the anthropic layers. We created a comprehensive and multi-year dataset of explanatory variables and wildfires, and then trained a set of models and evaluated their performances in predicting WUI fires. We used the best models to assess the single variable’s importance and map wildfire patterns. Key results: Random Forest and Support Vector Machine were the best performing models. In broad terms, wildfire patterns at WUI were influenced by socio-economic factors and herbaceous vegetation types. Conclusions: Machine learning models can be useful tools to predict wildfire ignitions and area burned at WUI in Mediterranean areas. Implications: Improved knowledge of the main drivers of wildfires at WUI in fire-prone Mediterranean areas can foster the development or optimisation of wildfire risk reduction and prevention strategies.
Idioma: Inglés
DOI: 10.1071/WF24109
Año: 2024
Publicado en: International Journal of Wildland Fire 33, 12 (2024), [16 pp.]
ISSN: 1049-8001
Factor impacto JCR: 2.9 (2024)
Categ. JCR: FORESTRY rank: 17 / 92 = 0.185 (2024) - Q1 - T1
Factor impacto SCIMAGO: 0.789 - Forestry (Q1) - Ecology (Q1)
Financiación: info:eu-repo/grantAgreement/EC/H2020/101003890/EU/FIREURISK - DEVELOPING A HOLISTIC, RISK-WISE STRATEGY FOR EUROPEAN WILDFIRE MANAGEMENT/FirEUrisk
Financiación: info:eu-repo/grantAgreement/ES/MICINN/PID2020-116556RA-I00
Tipo y forma: Article (Published version)
Área (Departamento): Área Análisis Geográfico Regi. (Dpto. Geograf. Ordenac.Territ.)
You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes.
Exportado de SIDERAL (2025-09-22-14:51:25)
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Idioma: Inglés
DOI: 10.1071/WF24109
Año: 2024
Publicado en: International Journal of Wildland Fire 33, 12 (2024), [16 pp.]
ISSN: 1049-8001
Factor impacto JCR: 2.9 (2024)
Categ. JCR: FORESTRY rank: 17 / 92 = 0.185 (2024) - Q1 - T1
Factor impacto SCIMAGO: 0.789 - Forestry (Q1) - Ecology (Q1)
Financiación: info:eu-repo/grantAgreement/EC/H2020/101003890/EU/FIREURISK - DEVELOPING A HOLISTIC, RISK-WISE STRATEGY FOR EUROPEAN WILDFIRE MANAGEMENT/FirEUrisk
Financiación: info:eu-repo/grantAgreement/ES/MICINN/PID2020-116556RA-I00
Tipo y forma: Article (Published version)
Área (Departamento): Área Análisis Geográfico Regi. (Dpto. Geograf. Ordenac.Territ.)
You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes. Exportado de SIDERAL (2025-09-22-14:51:25)
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Record created 2025-01-15, last modified 2025-09-23