Forecasting of Wildfire Probability Occurrence: Case Study of a Mediterranean Island of Italy

The growing need to address natural and human-induced disasters while protecting territory remains a key focus for the scientific community. Effective emergency management, especially during wildfires, requires coordinated responses to safeguard lives and assets. This study develops hazard maps to aid emergency planning in Italy and estimate territorial resilience indicators. Focusing on wildfire ignition hazards in Ischia, the study uses a probabilistic model based on fifteen years of wildfire data (2009–2023). By analyzing ignition points and employing a Poisson distribution, it correlates ignition probabilities with vegetation types. The hazard maps reveal that wildfire risk is primarily influenced by the wildland–urban interface and vegetation characteristics, emphasizing the need to integrate territorial and urban factors into wildfire forecasting. The findings also suggest areas for refining the model to enhance risk mitigation strategies.

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Publication Details

Journal
Land
Published
2025-01-29
DOI
https://doi.org/10.3390/land14020277
Citations
4
Primary Topic
Fire effects on ecosystems
Type
article
Field-Weighted Citation Impact
4.42

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article

Forecasting of Wildfire Probability Occurrence: Case Study of a Mediterranean Island of Italy

Angelo Libertà, Marta Galuppi, Davide Berardi, Mara Lombardi
4 citations
Land
Fire effects on ecosystems
4.42
article

Forecasting of Wildfire Probability Occurrence: Case Study of a Mediterranean Island of Italy

Angelo Libertà, Marta Galuppi, Davide Berardi, Mara Lombardi
article en
4 citations

Abstract

The growing need to address natural and human-induced disasters while protecting territory remains a key focus for the scientific community. Effective emergency management, especially during wildfires, requires coordinated responses to safeguard lives and assets. This study develops hazard maps to aid emergency planning in Italy and estimate territorial resilience indicators. Focusing on wildfire ignition hazards in Ischia, the study uses a probabilistic model based on fifteen years of wildfire data (2009–2023). By analyzing ignition points and employing a Poisson distribution, it correlates ignition probabilities with vegetation types. The hazard maps reveal that wildfire risk is primarily influenced by the wildland–urban interface and vegetation characteristics, emphasizing the need to integrate territorial and urban factors into wildfire forecasting. The findings also suggest areas for refining the model to enhance risk mitigation strategies.

LandVol. 14(2)
Sapienza University of Rome (IT)
European Commission
Openalex Percentile: Top 7%
Fire effects on ecosystems
4.42
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