modeling
Performance of Fire Danger Indices and Their Utility in Predicting Future Wildfire Danger Over the Conterminous United States
Modeling Wildland Firefighters’ Assessments of Structure Defensibility
Optimizing the implementation of a forest fuel break network
Avoided wildfire impact modeling with counterfactual probabilistic analysis
Exploring and Testing Wildfire Risk Decision-Making in the Face of Deep Uncertainty
We integrated a mechanistic wildfire simulation system with an agent-based landscape change model to investigate the feedbacks among climate change, population growth, development, landowner decision-making, vegetative succession, and wildfire.
DUET - Distribution of Understory using Elliptical Transport: A mechanistic model of leaf litter and herbaceous spatial distribution based on tree canopy structure
Heterogeneity in surface fuels produced by overstory trees and understory vegetation is a major driver of fire behavior and ecosystem dynamics.
A comparison of smoke modelling tools used to mitigate air quality impacts from prescribed burning
Background. Prescribed fire is a land management tool used extensively across the United States. Owing to health and safety risks, smoke emitted by burns requires appropriate manage- ment. Smoke modelling tools are often used to mitigate air pollution impacts. However, direct comparisons of tools’ predictions are lacking. Aims.
Projecting live fuel moisture content via deep learning
Background: Live fuel moisture content (LFMC) is a key environmental indicator used to monitor for high wildfire risk conditions. Many statistical models have been proposed to predict LFMC from remotely sensed data; however, almost all these estimate current LFMC (nowcasting models).
An aridity threshold model of fire sizes and annual area burned in extensively forested ecoregions of the western USA
Wildfire occurrence varies among regions and through time due to the long-term impacts of climate on fuel structure and short-term impacts on fuel flammability.
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