Scheduling removals for fuels management
Document Type: Conference Proceedings
Author(s): John Hof; Philip N. Omi
Editor(s): Philip N. Omi; Linda A. Joyce
Publication Year: 2003

Cataloging Information

  • fuel profiles
  • fuels management
  • mathematical models
  • Monte Carlo simulations
Record Maintained By:
Record Last Modified: April 10, 2018
FRAMES Record Number: 13217


We explore management science options for scheduling the placement of fuels reductions. First, we look at approaches for creating and maintaining a prespecified set of forest conditions that are deemed desirable from a fuels management perspective. This approach is difficult because the pre-specified forest is hard to determine and because it is an any-aged forest management problem that is intrinsically nonlinear. Second, we look at capturing the spatial relationships suggested by fire behavior in long-term fuels management. This approach is difficult because fire origins and behavior can be quite random and unpredictable. It is necessary to accept a particular fire event (analogous to the 500-year flood in flood-control planning) as the target for fuels management. Overall, we conclude that long-term fuels management presents a formidable problem for management scientists. Numerically intense stochastic programming methods, such as Monte Carlo repetitions with a fire simulator, may be the most promising approach.

Online Link(s):
Link to this document (10.3 MB; pdf)
Hof, John; Omi, Philip. 2003. Scheduling removals for fuels management. Pages 367-378. In: Omi, Philip N.; Joyce, Linda A. (technical editors). Fire, Fuel Treatments, and Ecological Restoration: Conference Proceedings: 16-18 April 2002: Fort Collins, Colorado. Proceedings RMRS-P-29. Fort Collins, CO: USDA Forest Service, Rocky Mountain Research Station.