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Modeling the interaction between wildfires and windthrows: A pilot case study for Italian Alps
Luca Mauri1, Flavio Taccaliti1, Emanuele Lingua1
1Department of Land, Environment, Agriculture and Forestry, University of Padova, Legnaro (PD), Italy.
Journal of Environmental Management
|November 8, 2024
Summary
Windstorms significantly increase wildfire risk by altering forest fuels. This study quantizes how windthrows (wind-damaged trees) impact wildfire behavior, offering crucial insights for forest management.
Area of Science:
- Forestry Science
- Ecology
- Geospatial Analysis
Background:
- Wildland fires and windthrows are major global forest disturbances.
- The interplay between windthrows and wildfire behavior, particularly in Italian catchments, is understudied.
- Previous research has not fully utilized advanced data processing techniques to analyze this interaction.
Purpose of the Study:
- To conduct a multi-temporal analysis of how windthrows influence wildfire behavior.
- To investigate the impact of the Vaia windstorm on wildfire dynamics in the Veneto region, Italy.
- To provide a framework for effective forest management strategies in disturbed areas.
Main Methods:
- Airborne Laser Scanning (ALS) data processing to map forest attributes and fuels.
- Application of the FlamMap model to simulate wildfire behavior.
- Comparative analysis of wildfire metrics (Rate of Spread, flame length, windspeed, arrival time) before and after the windstorm.
Main Results:
- Windthrown areas showed increased Rate of Spread (RoS) by over 30 m/min, flame length (FL) by over 3 m, and midflame windspeed (WS) by over 1.1 m/s.
- Arrival time (AT) of wildfires decreased by more than 30 min in windthrown areas.
- Regression analysis confirmed strong correlations between windthrow extent and changes in wildfire behavior (R² values up to 0.93).
Conclusions:
- Windthrows critically alter wildfire behavior, increasing spread rate and intensity.
- ALS data and modeling provide effective tools for assessing wildfire risk in disturbed forests.
- Findings support proactive planning and management strategies for wind-damaged forest ecosystems.
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