Recent years have highlighted an increasing vulnerability to wildfires in Europe driven by climate, land use change, and socio-economic factors. Under future projected warming and drying patterns, Mediterranean areas emerge as one of the most wildfire-sensitive regions. This study combines high-resolution climate projections from three CMIP6 models (ACC, ECE, MPI) under three SSP scenarios with a wildfire modeling framework to assess wildfire danger and hazard for historical baseline (1985–2014) and a near-future period (2035–2064) in Sardinia, Italy. Climate variables were statistically downscaled to 1 km2 resolution and used to calculate Fire Weather Index (FWI) and Daily Severity Rating (DSR). Then, using the Minimum Travel Time algorithm and probabilistic fire simulations, we generated spatially explicit estimates of burn probability, fire intensity and crown fire probability at 150 m resolution. Despite model-dependent differences in magnitude, all scenarios consistently point to warmer, drier, and more fire-prone conditions. Results indicate a systematic shift toward more severe fire danger under future scenarios, with a marked increase in the days reaching very high FWI and DSR values, particularly from May to October, which evidences nearly doubled frequencies under SSP5-8.5 scenarios. Similarly, simulated wildfire hazard outputs show significant increases, with hotspots expanding towards western and inland Sardinia, particularly with ECE (+ 250% of annual area burned moving from baseline to 2035–2064, under SSP5-8.5). These results provide detailed spatial assessments of future potential wildfire impacts in a fire-prone Mediterranean region and offer insights to support fire and land management in landscapes highly susceptible to wildfire occurrence.
Wildfire dynamics in high-elevation Andean ecosystems remain insufficiently assessed under projected climate change conditions, particularly in Ecuador, where spatially explicit fire-behavior modeling is limited. This study evaluates the sensitivity of wildfire hazard to climate change in Molleturo Parish, Azuay Provin...
María Mercedes Ojeda-Muñoz, Juan Gabriel Mollocana-Lara, C. Alvarez· Natural Hazards· 0 citations
Escaped powerline‐caused fires (EPFs) are increasing in fire‐prone regions, including Alberta, Canada, underscoring growing tensions between expanding powerlines and managing wildfire risk. As fire‐conducive weather becomes more frequent, it remains unclear how future infrastructure can be planned to minimize wildfire...
Xue-Zheng Zong, Xian-Li Wang, D. Castellanos-Acuña et al.· Geophysical Research Letters· 0 citations
Wildfires in Canada are intensifying due to anthropogenic climate change, with far-reaching impacts on ecosystems, human well-being, and the global climate system. However, the long-term societal costs of future wildfires and the extent to which they will be shaped by climate change remain poorly quantified. Here, we p...
S. Kou-Giesbrecht, S. Curasi, Renée Hall et al.· Environmental Research: Clim...· 0 citations
Wildland fire activity is expected to change substantially under future climate warming, with important implications for ecosystems, air quality, and climate feedbacks. In this Review, we compare land surface, Earth system, statistical, and machine learning model approaches that are used to project future fire activity...
Cynthia H. Whaley, Yang Li, Isabelle Valiquette et al.· Communications Earth & Envir...· 0 citations
Wildfires are increasingly driven by extreme weather and climate variability, posing risks to ecosystems, infrastructure, and human health. This study examines the severe KwaZulu-Natal wildfire of August 4, 2024, using an integrated, process-based framework that combines satellite fire detections, tree cover change dat...
F. Fazel-Rastgar, S. Mthembu· Air quality, atmosphere and...· 0 citations
Climate change and socioeconomic development jointly amplify global flood threats, yet integrated projections remain limited. Here we developed a stacking ensemble framework combining the Coupled Model Intercomparison Project Phase 6 (CMIP6) multi-model precipitation data with population, economic, and land-use trend...