Skip to main content
U.S. flag

An official website of the United States government

30 results found
Understanding fuel dynamics over large spatial (103-106 ha) and temporal scales (101-103 years) is important in comprehensive wildfire management. We present a modeling approach to simulate fuel and fire risk dynamics as well as impacts of alternative fuel treatments. The approach is implemented…
Author(s): Hong S. He, Bo Z. Shang, Thomas R. Crow, Eric J. Gustafson, Stephen R. Shifley
Keywords: fine fuel, coarse fuel, fire intensity, fire risk, fuel treatment. landscape model, LANDIS
Source: Ecological Modelling. 180: 135?151.
Year: 2004
The BehavePlus fire modeling system is a program for personal computers that is a collection of mathematical models that describe fire and the fire environment. It is a flexible system that produces tables, graphs, and simple diagrams. It can be used for a multitude of fire management applications…
Author(s): Patricia L. Andrews, Collin D. Bevins, Robert C. Seli
Keywords: Fire behavior, fire spread, fire intensity, computer program
Source: Gen. Tech. Rep. RMRS-GTR-106 Revised. Ogden, UT: Department of Agriculture, Forest Service, Rocky Mountain Research Station. 132p.
Year: 2005
Stand-replacing prescribed fires are recommended to regenerate stands of Table Mountain pine (Pinus pungens) in the southern Appalachian Mountains because the species has serotinous cones and its seedlings require abundant sunlight and a thin forest floor. A 350-hectare prescribed fire in…
Author(s): Patrick H. Brose, Thomas A. Waldrop
Keywords: fire intensity, Pinus pungens, prescribed fire, southern Applachian Mountains, Table Mountain pine
Source: In: Moser, W. Keith; Moser, Cynthia E., eds. Fire and forest ecology: innovative silviculture and vegetation management. Tall Timbers Fire Ecology Conference Proceedings, No. 21. Tallahassee, FL: Tall Timbers Research Station: 191-196
Year: 2000
This review focused on the primary literature that described, modeled, or predicted the probability of postfire mortality in ponderosa pine (Pinus ponderosa) and Douglas-fir (Pseudotsuga menziesii). The methods and measurements that were used to predict postfire tree death tended to fall into two…
Author(s): James F. Fowler, Carolyn Hull Sieg
Keywords: Pinus ponderosa, Pseudotsuga menziesii, wildfire, prescribed burn, crown scorch, bole char, ground char, fire intensity
Source: Gen. Tech. Rep. RMRS-GTR-132. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 25 p.
Year: 2004
Prescribed winter burning was done in a precommercially thinned, 9-year-old, natural stand of loblolly and shortleaf pines (Pinus taeda L. and P. echinata Mill.). Growth and survival of 174 loblolly pines were monitored one growing season after this burning. Mortality was highest for pines with…
Author(s): Michael D. Cain
Keywords: Crown scorch, fire intensity, Pinus taeda L
Source: Res. Note SO-312. New Orleans, LA: U.S. Department of Agriculture, Forest Service, Southern Forest Experiment Station. 4 p.
Year: 1985
Author(s): Louis R. Iverson, Daniel A. Yaussy, Joanne Rebbeck, Todd F. Hutchinson, Robert P. Long, Anantha M. Prasad
Keywords: animation of fire, fire intensity, oak forests, oak regeneration, Ohio
Source: International Journal of Wildland Fire. 13: 311-322.
Year: 2004
The fire characteristics chart is proposed as a graphical method ofpresenting two primary characteristics of fire behavior – spread rate and intensity. Its primary use is communicating and interpreting either site-specific predictions of fire behavior or National Fire-Danger Rating System (NFDRS)…
Author(s): Patricia L. Andrews, Richard C. Rothermel
Keywords: fire behavior, fire spread, fire intensity, fire-danger rating, NationalFire-Danger Rating System
Source: Gen. Tech. Rep. INT-131. Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station. 21 p
Year: 1982
This manual documents procedures for estimating the rate of forward spread, intensity, flame length, and size of fires burning in forests and rangelands. Contains instructions for obtaining fuel and weather data, calculating fire behavior, and interpreting the results for application to actual fire…
Author(s): Richard C. Rothermel
Keywords: fire behavior prediction, fire spread, fire intensity, fire growth
Source: Gen. Tech. Rep. INT-143. Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station. 161 p.
Year: 1983
Space and airborne sensors have been used to map area burned, assess characteristics of active fires, and characterize post-fire ecological effects. Confusion about fire intensity, fire severity, burn severity, and related terms can result in the potential misuse of the inferred information by land…
Author(s): Leigh B. Lentile, Zachary A. Holden, Alistair M. S. Smith, Michael J. Falkowski, Andrew T. Hudak, Penelope Morgan, Sarah A. Lewis, Paul E. Gessler, Nate C. Benson
Keywords: burn severity, burned area, ecological change, fire atlas, fire intensity, fire perimeters, fire radiative power, fire severity, Normalized Burn Ratio, Normalized Difference Vegetation Index, radiative energy
Source: International Journal of Wildland Fire. 15(3): 319-­345.
Year: 2006
Fire risk is an ever present management concern in many urban interface regions. To mitigate this risk, land management agencies have expanded their options beyond prescribed fire to include vegetation mastication and other mechanical fuel treatments. This research project examined fire severity…
Author(s): Tim Bradley, Jennifer Gibson, Windy Bunn
Keywords: fire, fire ecology, fuels management, fire severity, fire intensity, vegetation mastication, mechanical fuel treatments
Source: In: Andrews, Patricia L.; Butler, Bret W., comps. 2006. Fuels Management-How to Measure Success: Conference Proceedings. 28-30 March 2006; Portland, OR. Proceedings RMRS-P-41. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. p. 419-428
Year: 2006
https://www.fs.usda.gov/treesearch/search/query?f%5B0%5D=publication_keywords%3Afire%20intensity