Research Database
Displaying 1 - 4 of 4
Burning from the ground up: the structure and impact of Prescribed Burn Associations in the United States
Year: 2025
Background: To combat losses and threats from fire exclusion and extreme wildfire events, communities in the United States are increasingly self-organizing through locally led Prescribed Burn Associations (PBAs) to plan and implement prescribed burns on private lands.Aim: Our study aimed to document the expansion of PBAs and provide insight into their structure, function, and impacts.Methods: Leaders from 135 known PBAs across the United States were invited to participate in an online survey.Key results: Survey results demonstrate a widespread emergence of PBAs in the United States,…
Publication Type: Journal Article
Trajectories of community fire adaptation: Social diversity, social fragmentation and the temporal evolution of wildfire action
Year: 2025
There is increasing acknowledgement that the unique characteristics (i.e., social contexts) of human communities influence variable means for adapting to the growing risks posed by wildland fire. However, there has been less work documenting how community social contexts evolve over time, and the ways they might influence collective mitigations pursued in partnership with professionals when addressing wildfire planning. We conducted 73 semi-structured interviews with 112 residents, emergency management professionals, government officials and members of community organizations in two Nevada…
Publication Type: Journal Article
Complexities in post-wildfire governance: lessons from Colorado’s 2020 wildfires
Year: 2025
Background: The increasing size and severity of western U.S. wildfires in recent years has generated greater attention towards post-wildfire response and recovery. Post-fire governance requires coordinating response and recovery capacities across jurisdictions, landscapes, and time scales. The presence of wildfire on federal public lands necessitates federal agency involvement in both suppression and recovery efforts, and program coordination with lower levels of government and non-governmental organizations. Using semi-structured interviews, we investigated experiences of leaders across the…
Publication Type: Journal Article
Fire Intensity and spRead forecAst (FIRA): A Machine Learning Based Fire Spread Prediction Model for Air Quality Forecasting Application
Year: 2025
Fire activities introduce hazardous impacts on the environment and public health by emitting various chemical species into the atmosphere. Most operational air quality forecast (AQF) models estimate smoke emissions based on the latest available satellite fire products, which may not represent real-time fire behaviors without considering fire spread. Hence, a novel machine learning (ML) based fire spread forecast model, the Fire Intensity and spRead forecAst (FIRA), is developed for AQF model applications. FIRA aims to improve the performance of AQF models by providing realistic, dynamic fire…
Publication Type: Journal Article