000148259 001__ 148259
000148259 005__ 20250115160155.0
000148259 0247_ $$2doi$$a10.1071/WF24109
000148259 0248_ $$2sideral$$a141718
000148259 037__ $$aART-2024-141718
000148259 041__ $$aeng
000148259 100__ $$aScarpa, Carla
000148259 245__ $$aModelling wildfire activity in wildland–urban interface (WUI) areas of Sardinia, Italy
000148259 260__ $$c2024
000148259 5060_ $$aAccess copy available to the general public$$fUnrestricted
000148259 5203_ $$aBackground: 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.
000148259 536__ $$9info:eu-repo/grantAgreement/EC/H2020/101003890/EU/FIREURISK - DEVELOPING A HOLISTIC, RISK-WISE STRATEGY FOR EUROPEAN WILDFIRE MANAGEMENT/FirEUrisk$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 101003890-FirEUrisk$$9info:eu-repo/grantAgreement/ES/MICINN/PID2020-116556RA-I00
000148259 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc$$uhttp://creativecommons.org/licenses/by-nc/3.0/es/
000148259 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000148259 700__ $$aElia, Mario
000148259 700__ $$aD’Este, Marina
000148259 700__ $$aSalis, Michele
000148259 700__ $$0(orcid)0000-0002-0477-0796$$aRodrigues, Marcos$$uUniversidad de Zaragoza
000148259 700__ $$aArca, Bachisio
000148259 700__ $$aDuce, Pierpaolo
000148259 700__ $$aFiori, Maria Antonella Francesca
000148259 700__ $$aPellizzaro, Grazia
000148259 7102_ $$13006$$2010$$aUniversidad de Zaragoza$$bDpto. Geograf. Ordenac.Territ.$$cÁrea Análisis Geográfico Regi.
000148259 773__ $$g33, 12 (2024), [16 pp.]$$pInt. j. wildland fire$$tInternational Journal of Wildland Fire$$x1049-8001
000148259 8564_ $$s5530575$$uhttps://zaguan.unizar.es/record/148259/files/texto_completo.pdf$$yVersión publicada
000148259 8564_ $$s2770813$$uhttps://zaguan.unizar.es/record/148259/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000148259 909CO $$ooai:zaguan.unizar.es:148259$$particulos$$pdriver
000148259 951__ $$a2025-01-15-15:05:56
000148259 980__ $$aARTICLE