QUIC-Fire: A Fast Tool for Prescribed Fire Planning

Predicting fire behavior is complicated. Current modeling tools work to balance the interplay between many different factors including weather conditions and vegetation structure. Yet these tools are often underutilized because they require high-performance computing resources. Rodman Linn from the Los Alamos National Laboratory, with expertise from SRS researchers Scott Goodrick and Joe O’Brien and additional…  More 

New Directions for Fire Ecology Research

Fire is a complicated process that affects forests in diverse ways. Current methods for predicting fire effects on forests still largely rely on past observations rather than a deep understanding of how fire interacts with a forest environment. In order to more fully understand fire’s effect on an ecosystem, wildland fire must be viewed as…  More 

Predicting Fire Behavior with New 3D Fuel Models

Land managers have a new tool in their firefighting arsenals that models forest fuels in three dimensions. These 3D fuel models developed by the USDA Forest Service have the potential to make firefighting and the management of controlled burns safer and less costly while helping to protect valuable natural resources. The 3D fuels modeling technique…  More