This file was created by scanning the printed publication. Errors identified by the software have been corrected; however, some errors may remain. he did research on field measurement of fuel properties and fire-danger rating systems while with the Lake States Forest Experiment Station. In 1965, he transferred to the Intermountain Fire Sciences Laboratory, Missoula, MT, where he conducted research on the physical properties, inventory, and prediction of fuels. Since 1979, he has been leader of a project that investigates fire effects and use. DENNIS G. SIMMERMAN is a forester with the Fire Effects and Use research work unit at the Intermountain Fire Sciences Laboratory. Previously he worked with the Fire Technology research work unit. He earned a B.S. degree in forestry from the University of Arizona. ACKNOWLEDGMENT The competent and enthusiastic assistance of several individuals contributed materially to this publication. They are Station. Their technical suggestions, locating of study areas, and rating of fire potentials are greatly appreciated. Patricia Andrew's assistance in developing the fire prediction methodology was especially helpful. This report explains how to appraise fuels and flam-mability in aspen forests as a means for choosing good opportunities for prescribed burning and for determining the environmental conditions favorable for a successful burn. The appraisal process is based on a study of physical fuel properties and vegetation occurring in southeastern Idaho and western Wyoming. Fuels were classified into five types: aspen/shrub, aspen/tall forb, aspen/low forb, mixed/ shrub, and mixedlforb, based on overstory composition , shrub coverage, and quantity of herbaceous vegetation. The fuel types are illustrated with color photographs accompanied by information on fuel loadings, vegetational characteristics, adjective fire behavior ratings , and ratings for probability of a successful burn. To aid in writing fire prescriptions the report includes tables of predicted fireline intensity and rate of spread as a function of fine fuel moisture content, vegetation curing, windspeed, and slope. Grazing reduced fire behavior potential by 80 to 90 percent of ungrazed conditions. The authors discuss how fire behavior is affected by downed woody fuel accumulations, leaf fall, small conifers, canopy closure , and rodent activity. Adjective ratings of fire intensity, rate of spread, torching, and resistance to contol incorporate the influence of downed woody fuel accumulations and conifers. The aspen/shrub type is the most flammable, followed by mixed/shrub. The aspen/tall forb is intermediate in flammabilty and has about one-half of the fire intensity potential of aspen/shrub. The aspen/low …
[1]
D. R. Betters,et al.
Understory herbage production as function of Rocky Mountain aspen stand density
,
1982
.
[2]
D. D. V. Hooser,et al.
Forest resources of the Rocky Mountain states
,
1983
.
[3]
William C. Fischer.
Planning and evaluating prescribed fires--a standard procedure
,
1978
.
[4]
R. A. Norum.
Predicting wildfire behavior in black spruce forests in Alaska.
,
1982
.
[5]
J. F. Thilenius,et al.
Classification of quaking aspen stands in the Black Hills and Bear Lodge mountains
,
1976
.
[6]
James K. Brown.
Bulk densities of nonuniform surface fuels and their application to fire modeling
,
1981
.
[7]
G. M. Byram,et al.
A Drought Index for Forest Fire Control
,
1968
.
[8]
Dale L. Bartos,et al.
Aspen succession in the Intermountain West: a deterministic model
,
1983
.
[9]
P. Andrews.
BEHAVE : Fire Behavior Prediction and Fuel Modeling System - BURN Subsystem, Part 1
,
1986
.
[10]
G. Gruell,et al.
Relationships among aspen, fire, and ungulate browsing in Jackson Hole, Wyoming
,
1974
.
[11]
R. Jaynes.
A hydrologic model of aspen-conifer succession in the western United States
,
1978
.
[12]
W. Humphries,et al.
A Preliminary Quantification of the Impacts of Aspen to Conifer Succession on Water Yield Within the Colorado River Basin (A Process Aggravating the Salt Pollution Problem)
,
1983
.
[13]
E. J. Hopkins,et al.
Influence of fire on Aspen suckering
,
1964
.
[14]
R. Burgan,et al.
BEHAVE : Fire Behavior Prediction and Fuel Modeling System -- FUEL Subsystem
,
1984
.
[15]
W. Humphries,et al.
A preliminary quantification of the impacts of aspen to conifer succession on water yield. II. Modeling results
,
1984
.
[16]
Fire control planning in the Northern Rocky Mountain region
,
1936
.
[17]
N. Debyle.
Managing wildlife habitat with fire in the aspen ecosystem
,
1985
.