A risk-based comparison of potential fuel treatment trade-off models
Document Type: Conference Paper
Author(s): David R. Weise; Richard A. Kimberlin; Michael J. Arbaugh; Jimmie D. Chew; J. Greg Jones; James Merzenich; Jan W. van Wagtendonk; Marc R. Wiitala
Editor(s): Leon F. Neuenschwander; Kevin C. Ryan; Greg E. Gollberg
Publication Year: 2000

Cataloging Information

  • air quality
  • Alabama
  • biogeochemical cycles
  • catastrophic fires
  • computer programs
  • digital data collection
  • disturbance
  • ecosystem dynamics
  • fire frequency
  • fire hazard reduction
  • fire management
  • fire regimes
  • Florida
  • fuel accumulation
  • fuel appraisal
  • fuel inventory
  • fuel loading
  • fuel management
  • fuel models
  • fuel types
  • GIS
  • grasses
  • Idaho
  • JFSP - Joint Fire Science Program
  • land management
  • land use planning
  • logging
  • Michigan
  • Montana
  • mortality
  • national parks
  • New Mexico
  • overstory
  • prescribed fires (escaped)
  • rate of spread
  • recreation
  • remote sensing
  • risk assessment
  • shrubs
  • smoke management
  • surface fires
  • surface fuels
  • thinning
  • topography
  • understory vegetation
  • Utah
  • wildfires
  • wildland fuels
  • Yosemite National Park
Record Maintained By:
Record Last Modified: September 28, 2022
FRAMES Record Number: 44197
Tall Timbers Record Number: 19520
TTRS Location Status: In-file
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.


Understanding the trade-off between short-term and long-term consequences of fire impacts on ecosystems is needed before a comprehensive fuels management program can be implemented nationally. We are comparing three vegetation models that may be used to predict the effects of various fuel management treatments at seven locations in major U.S. fuel types. The models being implemented and evaluated are the Fire Effects Trade-off Model (FETM), the SIMulating vegetative Patterns and Processes at landscape scaLEs/ Multi-resource Analysis and Geographic Information System (SIMPPLLE/MAGIS), the Vegetation Disturbance Dynamics TooI/Tools for Exploratory Landscape Scenario Analyses (VDDT/TELSA), and SAFE Forests. We will evaluate the implementation of each model and estimate the uncertainty associated with predictions from the four models using simulation. This uncertainty is a component of the risk associated with a fuel management program. The model comparison will identify model components that are needed for a national strategic fire planning model. © University of Idaho 2000. Abstract reproduced by permission.

Online Link(s):
Weise, D. R., R. Kimberlin, M. Arbaugh, J. Chew, G. Jones, J. Merzenich, J. W. van Wagtendonk, and M. Wiitala. 2000. A risk-based comparison of potential fuel treatment trade-off models, in Neuenschwander, L. F., Ryan, K. C., and Gollberg, G. E., Joint Fire Science Conference and Workshop Proceedings: 'Crossing the Millennium: Integrating Spatial Technologies and Ecological Principles for a New Age in Fire Management'. Boise, Idaho. University of Idaho and the International Association of Wildland Fire,Moscow, ID and Fairfield, WA. Vol. II, p. 96-102,