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Characterizing wildfire regimes in the United States
Bruce D Malamud1, James D A Millington, George L W Perry
1Environmental Monitoring and Modelling Research Group, Department of Geography, King's College London, Strand, London WC2R 2LS, UK. bruce@malamud.com
Summary
Wildfire statistics reveal consistent scaling patterns across U.S. ecoregions, with variations based on ignition source and location. This analysis aids in classifying wildfire regimes for better hazard estimation.
Area of Science:
- Ecology
- Geoscience
- Forestry
Background:
- Wildfires are a significant ecological phenomenon in the United States.
- Understanding wildfire dynamics is crucial for effective land management and hazard assessment.
Purpose of the Study:
- To analyze wildfire statistics across the conterminous United States in a spatially and temporally explicit manner.
- To investigate wildfire occurrence as a function of ecoregion, ignition source, and decade.
- To classify wildfire regimes for probabilistic hazard estimation.
Main Methods:
- Utilized a high-resolution dataset of 88,916 wildfires from 1970-2000.
- Examined frequency-area power-law behavior in 18 different ecoregions.
- Compared scaling of burned areas using normalized power-law exponents.
- Calculated recurrence intervals for wildfires of specific burned areas.
Main Results:
- Wildfires exhibit robust frequency-area power-law behavior across diverse U.S. ecoregions.
- A systematic east-to-west gradient in wildfire-burned area scaling was identified.
- Eastern U.S. wildfires showed higher power-law exponents for anthropogenic versus lightning ignition sources.
- Recurrence intervals were calculated for probabilistic hazard estimation.
Conclusions:
- Wildfire behavior exhibits predictable scaling laws that vary geographically and by ignition source.
- The findings provide a framework for classifying wildfire regimes and improving hazard assessment.
- This research offers a novel approach to wildfire risk management, analogous to earthquake hazard estimation.