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Optimizing prescribed fire allocation for managing fire risk in central Catalonia.

Fermín J Alcasena1, Alan A Ager2, Michele Salis3

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This study optimized prescribed fire treatments in Bages County, Spain, to strategically reduce wildfire risk. Spatial optimization identified key forest locations to disrupt fire spread, lower emissions, and protect communities from large fires.

Keywords:
Fire modelingMediterranean areasPrescribed firesProduction possibility frontiersTreatment optimization

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Area of Science:

  • Forestry and Wildfire Management
  • Spatial Optimization and Ecological Modeling
  • Environmental Risk Assessment

Background:

  • Wildfire risk is increasing in fire-prone regions like Catalonia, Spain.
  • Effective fuel management is crucial for mitigating wildfire impacts on ecosystems and communities.
  • Existing strategies often lack spatial optimization for maximum impact.

Purpose of the Study:

  • To identify optimal locations for prescribed fire treatments in Bages County.
  • To disrupt major wildfire spread and reduce ember emissions.
  • To minimize the risk of large fires impacting residential areas.

Main Methods:

  • Spatial optimization techniques were employed for treatment allocation.
  • Fire spread, hazard, and exposure metrics were modeled under extreme weather.
  • Node influence grids and crown fraction burned were analyzed.

Main Results:

  • Strong trade-offs were identified among different fire exposure metrics.
  • Optimized treatment mosaics were developed for prescribed fire allocation.
  • Specific opportunities for achieving multiple wildfire management objectives were revealed.

Conclusions:

  • The developed methods enhance the efficiency of prescribed fire investments.
  • The framework supports wildfire management programs for resilient ecosystems and community safety.
  • This approach is adaptable for optimizing prescribed fire in other Mediterranean and global fire-prone regions.