The Bureau of Land Management (BLM) Fire Jobs Portal provides information about the types of positions BLM Fire has to offer, helpful hints for applying, contact information for local BLM fire managers and links to USAJOBS for current vacancies.
Hazard and Risk Portal
Definition: Hazard - A fuel complex defined by kind, arrangement, volume, condition, and location that forms a special threat of ignition and resistance to control. Risk - The chance of fire starting as determined by the presence and activity of causative agents.
(National Wildfire Coordinating Group/Fire Research And Management Exchange System)
The hazard and risk topic page contains resources related to the study of hazards associated with wildland fire in the environment as well as risk management and risk assessment.
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The BehavePlus fire modeling system is a Windows based computer program that can be used for any fire management application that involves modeling fire behavior and fire effects.
FERGI (Fire-Enhanced Runoff and Gully Initiation Model) is a post fire, erosion prediction utility.
The Fire Severity Mapping System Project (FIRESEV) provides fire managers with critical information about the potential ecological effects of wildland fire at multiple levels of thematic, spatial, and temporal detail.
The Fuel Treatment Effectiveness in Alaska project was designed to assess the effectiveness of maturing treatment projects in terms of previously defined risk reduction and fire behavior objectives in order to better understand the contribution of fuel treatments to the broader economics of wildfire management in Alaska.
The purpose of this site is to provide maps for wildland firefighting resources to build situational awareness before and while responding to wildland fires.
This site was developed to showcase the results of the JFSP-funded project "A Review of Available Economic and Financial Biomass Information and Tools for Federal Land Managers in the West."
Resources for NAFRI (National Advanced Fire and Resource Institute) courses.
Scientists from the USFS Rocky Mountain Research Station and the University of Montana conducted a study in which observed data were used to produce statistical models describing the probability of high severity fire as a function of fuel, topography, climate, and fire weather.