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Fire Effects Portal
Definition: The physical, biological, and ecological impacts of fire on the environment.
(National Wildfire Coordinating Group/Fire Research And Management Exchange System)
The fire effects topic page contains resources and activities related to the study and management of the effect of wildland fire on the environment.
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Fire Effects Information System
The Fire Effects Information System is an online collection of reviews of the scientific literature about fire effects on plants and animals and about fire regimes of plant communities in the United States.
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The ArcBurn project is designed to integrate cultural resources information into fire management decision processes.
The Assessing Burn Severity project is a JFSP-funded project investigating the spatial variability in fire effects and to explore relationships between burn severity and fuels, fire behavior, local weather, and topography.
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.
FFI (FEAT/FIREMON Integrated) is a monitoring software tool designed to assist managers with collection, storage and analysis of ecological information.
The FFI-DataDepot is an online data repository for fire effects monitoring data collected using the FEAT/FIREMON Integrated (FFI) software application.
The Fire and Fire Surrogates Study (FFS) assessed the effects of fire and fire surrogate fuel treatments, specifically, quantifying the costs and ecological consequences of alternative fire and fire surrogate restorative treatments in a number of forest types and conditions across the US.
The Fire Behavior Assessment Team (FBAT) is a unique fire module that monitors wildfires and prescribed fires to support USFS strategic goals through information delivery during and after incidents.
Fire Effects Monitoring and Inventory Protocol (FIREMON) is an agency independent plot level sampling system designed to characterize changes in ecosystem attributes over time.
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.
FireWorks is an educational program about the science of wildland fire, designed for students in grades 1-12. The FireWorks program consists of a curriculum and a trunk of materials, including laboratory equipment, specimens, CDs, books, and kits of specialized materials for teachers. Content focuses on the physical science of fire behavior, human influences on fire, and fire ecology.
Researching long term (>10 yrs) response in fuel loads and vegetation composition after large and severe wildfires across five fire-adapted ecosystems in the western US, including Alaska.
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.
The Southwest FireCLIME document library is an annotated bibliography of published research related to the interactions between climate change, wildfire, and subsequent ecosystem effects in the southwestern U.S. The 190 publications contained in the library were identified through a comprehensive literature review, and have each been summarized to distill the outcomes as they pertain to fire and climate.
The Southwest Fire Science Consortium is partnering with FRAMES to help fire managers access important fire science information related to the Southwest's top ten fire management science issues.
The vision of the World of Wildland Fire is to provide and connect fire science educators and trainers with scientifically solid and peer-reviewed teaching tools and techniques, using state-of-the-art materials, which will be free and accessible to all.