Document


Title

Landscape fire simulation and fuel treatment optimization [Chapter 9]
Document Type: Book Chapter
Author(s): M. A. Finney
Editor(s): J. L. Hayes; A. A. Ager; R. J. Barbour
Publication Year: 2004

Cataloging Information

Keyword(s):
  • Arizona
  • BEHAVE
  • crown fires
  • FARSITE
  • fine fuels
  • fire growth
  • fire intensity
  • fire management
  • fire regimes
  • fire simulation
  • fire size
  • fire suppression
  • forest management
  • fuel accumulation
  • fuel breaks
  • fuel management
  • fuel treatments
  • ladder fuels
  • Montana
  • Oregon
  • overstory
  • plant growth
  • rate of spread
  • stand characteristics
  • surface fuels
  • thinning
  • understory vegetation
  • wildfires
Record Maintained By:
Record Last Modified: August 6, 2018
FRAMES Record Number: 45849
Tall Timbers Record Number: 21453
TTRS Location Status: Not in file
TTRS Call Number: A13.88:PNW-610
TTRS Abstract Status: Fair use, Okay, Reproduced by permission

This bibliographic record was either created or modified by the Tall Timbers Research Station and Land Conservancy and is provided without charge to promote research and education in Fire Ecology. The E.V. Komarek Fire Ecology Database is the intellectual property of the Tall Timbers Research Station and Land Conservancy.

Description

Fuel teatment effects on the growth and behavior of large wildland fires depend on the spatial arrangements of individual treatment units. Evidence of this is found in burn patterns of wildland fires. During planning stages, fire simulation is most often used to anticipate effects of fuel treatment units. Theoretical modeling shows that random patterns are inefficient in changing large-fire growth rates compared to strategic designs. For complex landscapes, computational methods are being developed to identify optimal placement of fuel treatment units that collectively disrupt fire growth similarly to the strategic patterns. By combining these algorithms with forest simulations over long periods (say 50 years), the long-term effects of various treatment strategies can be compared.

Citation:
Finney, M. A. 2004. Landscape fire simulation and fuel treatment optimization [Chapter 9], in JL Hayes, AA Ager, and RJ Barbour eds., Methods for integrated modeling of landscape change: interior northwest landscape analysis system. Portland, OR, USDA Forest Service, Pacific Northwest Research Station, General Technical Report PNW-GTR-610, p. 117-131.