148259 20260217205443.0 doi 10.1071/WF24109 sideral 141718 ART-2024-141718 eng Scarpa, Carla Modelling wildfire activity in wildland–urban interface (WUI) areas of Sardinia, Italy 2024 Access copy available to the general public Unrestricted 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. info:eu-repo/grantAgreement/EC/H2020/101003890/EU/FIREURISK - DEVELOPING A HOLISTIC, RISK-WISE STRATEGY FOR EUROPEAN WILDFIRE MANAGEMENT/FirEUrisk This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 101003890-FirEUrisk info:eu-repo/grantAgreement/ES/MICINN/PID2020-116556RA-I00 info:eu-repo/semantics/openAccess by-nc https://creativecommons.org/licenses/by-nc/4.0/deed.es 2.9 2024 FORESTRY 17 / 92 = 0.185 2024 Q1 T1 0.789 2024 Forestry 2024 Q1 Ecology 2024 Q1 5.0 2024 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Elia, Mario D’Este, Marina Salis, Michele Rodrigues, Marcos Universidad de Zaragoza (orcid)0000-0002-0477-0796 Arca, Bachisio Duce, Pierpaolo Fiori, Maria Antonella Francesca Pellizzaro, Grazia 3006 010 Universidad de Zaragoza Dpto. Geograf. Ordenac.Territ. Área Análisis Geográfico Regi. 33, 12 (2024), [16 pp.] Int. j. wildland fire International Journal of Wildland Fire 1049-8001 5530575 http://zaguan.unizar.es/record/148259/files/texto_completo.pdf Versión publicada 2770813 http://zaguan.unizar.es/record/148259/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:148259 articulos driver 2026-02-17-20:17:20 ARTICLE