Selecting the optimal locations and timing for prescribed burning is challenging when considering uncertainties in weather, fire behavior, and future fire suppression. In this study, we present a sample average approximation (SAA) based multistage...
Alaska Reference Database
The Alaska Reference Database originated as the standalone Alaska Fire Effects Reference Database, a ProCite reference database maintained by former BLM-Alaska Fire Service Fire Ecologist Randi Jandt. It was expanded under a Joint Fire Science Program grant for the FIREHouse project (The Northwest and Alaska Fire Research Clearinghouse). It is now maintained by the Alaska Fire Science Consortium and FRAMES, and is hosted through the FRAMES Resource Catalog. The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.
The suggestion has been made within the wildland fire community that the rate of spread in the upper portion of the fire danger spectrum is largely independent of the physical fuel characteristics in certain forest ecosystem types. Our review and...
The annual national report of the Forest Health Monitoring (FHM) program of the Forest Service, U.S. Department of Agriculture, presents forest health status and trends from a national or multistate regional perspective using a variety of sources,...
The Interagency Fuels Treatment Decision Support System (IFTDSS) is a web-based application designed to make fuels treatment planning and analysis more efficient and effective. IFTDSS provides access to data and models, all in one place, through one...
Wildland fires occupy the biosphere as both an ecological process essential for maintaining species diversity and a hazard to human lives, infrastructure and activities. Fire managers’ ability to anticipate fire behavior is key to maximizing ecological...
Technosyva is a company of 50 professionals based in San Diego and in Leon, Spain. Since 1997 we focused on developing technology and applications for the wildland fire community, with a strong partnership with research institutions worldwide, and...
A microscale wildfire model (QES-Fire), which dynamically couples the fire front to microscale winds, was developed utilizing a simplified physics rate of spread (ROS) model, a kinematic plume-rise model and a mass-consistent diagnostic wind solver....
Grasses fuel most fires on Earth and strongly influence local fire behaviour through traits that determine how flammable they are. Therefore, grass communities that differ in their species and trait compositions give rise to significant spatial...
An overview of the International Crown Fire Modeling Experiments in Canada's Northwest Territories.
Along with the increase in the frequency of disastrous wildfires and bushfires around the world during the recent decades, scholarly research efforts have also intensified in this domain. This work investigates divisions and trends of the domain of...