Perhaps one of the most critical decisions made by firefighters during daily fire management operations is the identification of suitable safety zones.

Whitebark pine has been rapidly declining on many National Forests in the northwestern United States over the last three decades because of blister rust infections and mountain pine beetle outbreaks, which have been exacerbated by recent warmer climates. 

FireBGCv2 is a highly successful modeling platform that has been designed to iteratively generate fire regimes and ecological dynamics on real world landscapes.

This project is aimed at elucidating the effect of interactions of fire, insect outbreaks, windthrow, and climate on fuel and fire behavior using simulation modeling.

It is generally assumed that insect and disease epidemics, such as those caused by the mountain pine beetle, predispose damaged forests to high fire danger by creating highly flammable fuel conditions.

Many land management agencies are exploring a wide variety of fuel treatments to lower fire intensities and severities and to restore ecosystems to historical conditions.

Designing fuel sampling methods that accurately and efficiently assesses fuel loads at relevant spatial scales requires knowledge of each sample method’s strengths and tradeoffs.

FireStem is a computer model designed to aid fire managers in predicting tree mortality based on fire behavior and intensity.

Wind is one of the most critical environmental factors affecting fire behavior and intensity.

Natural resource managers use a variety of computer-mediated presentation methods to communicate with the public about ecosystem dynamics and management practices.

Pollutant emissions from wildand fires can degrade air quality on local, regional, and continental scales.