|
 Perhaps one of the most critical decisions made by firefighters during daily fire management operations is the identification of suitable safety zones.
|
|
 The accumulation of canopy and surface fuels, coupled with a general warming of the climate, have contributed to an increase in the frequency, severity, and size of wildfires in the western United States.
|
|
 Before this project, Utah and eastern Nevada lacked dendrochronologically crossdated, site-specific fire and vegetation histories that provide crucial information for scientifically based fire, land, and natural resource management.
|
|
A fire severity mapping system for real time fire management application and long-term planning.
|
|
 Whitebark pine (Pinus albicaulis) forests are declining across most of their range in North America because of the combined effects of three factors:
|
|
 Fire research over the last four decades has identified surface fuel loadings as important variables for determining the behavior and effects of wildland fires.
|
|
 This study will develop, evaluate, and compare methods or approaches to measure crown fuels and incorporate the crown fuel information into landscape-scale land use and planning processes.
|
|
 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.
|
Severe fire seasons of the past decade in the western United States have spurred many government agencies to manage lands to reduce fire intensity and severity to ultimately protect human life and property.
Central Oregon currently lacks the site-specific fire and forest histories that are necessary for scientifically based land-management planning in the region.
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.
FireStem is a computer model designed to aid fire managers in predicting tree mortality based on fire behavior and intensity.
WindNinja is a computer program that computes spatially varying wind fields for wildland fire application.
Two research projects investigated effectiveness of hands-on learning techniques for increasing understanding of wildland fire and changing attitudes about fire and fuel management.
The Remote Sensing Lab is using data collected from the Terra and Aqua satellites.