Evaluating fuelbreak strategies for compartmentalizing a fire-prone forest landscape in Alberta, Canada

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(5), P. e0321722 - e0321722

Published: May 21, 2025

Large wildfires, the dominant natural disturbance type in North American forests, can cause significant damage to human infrastructure. One well-known approach reduce threat of wildfires is strategic removal forest fuels linear firebreaks that segment landscapes into distinct compartments. However, limited and financial resources make it difficult plan compartmentalization effectively. In this study, we developed a simulation-optimization assist with planning wildfire risk mitigation efforts Red Rock-Prairie Creek area Alberta, Canada, rugged, fire-prone landscape. First, used spatial fire growth model calculate matrix spread likelihoods between all pairs locations landscape guide allocation firebreaks. Then, formulated firebreak problem potential We depicted as network patches containing hazardous solved critical edge programming (CERP) partially fragment minimize adjacent areas. compared CERP other fuel treatment strategies intended fire-threat measures such burn likelihood exposure. Compared these strategies, solutions demonstrated better capacity evenly spaced compartments effectively minimized along prevailing wind paths. Our provide several for reducing habitat could activities regions.

Language: Английский

Postbp: A Python Library to Analyze Outputs from Wildfire Growth Models

Published: Jan. 1, 2024

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Language: Английский

PostBP: A Python library to analyze outputs from wildfire growth models

MethodsX, Journal Year: 2024, Volume and Issue: 13, P. 102816 - 102816

Published: June 21, 2024

Language: Английский