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Related Experiment Video

Updated: May 11, 2026

Wind Tunnel Experiments to Study Chaparral Crown Fires
09:27

Wind Tunnel Experiments to Study Chaparral Crown Fires

Published on: November 14, 2017

Modeling wildfire incident complexity dynamics.

Matthew P Thompson1

  • 1Rocky Mountain Research Station, United States Forest Service, Missoula, Montana, USA. mpthompson02@fs.fed.us

Plos One
|May 22, 2013
PubMed
Summary
This summary is machine-generated.

Wildfire management faces uncertainty in costs and outcomes. This study models incident complexity dynamics for the U.S. Forest Service, revealing geographic variations in response and containment times to improve cost efficiency.

Related Experiment Videos

Last Updated: May 11, 2026

Wind Tunnel Experiments to Study Chaparral Crown Fires
09:27

Wind Tunnel Experiments to Study Chaparral Crown Fires

Published on: November 14, 2017

Area of Science:

  • Ecological science
  • Environmental management
  • Forestry

Background:

  • Wildfire management is hampered by uncertainty in fire events, consequences, and suppression costs.
  • Rising U.S. Forest Service expenditures strain budgets, impacting non-fire programs and increasing borrowing risks.

Purpose of the Study:

  • To analyze geographic and temporal variations in incident management team responses to wildfires.
  • To understand factors influencing suppression decisions and their impact on costs.
  • To model incident complexity dynamics for U.S. Forest Service fires.

Main Methods:

  • A stochastic dynamic system framework models recurrent decisions in large wildfire management.
  • Daily incident complexity dynamics are analyzed using a first-order Markov chain.
  • Containment is modeled as an absorbing state within the Markov chain.

Main Results:

  • Statistically significant differences in incident complexity dynamics were found between U.S. Forest Service Regions.
  • Probability transition matrices for incident complexity were developed.
  • Expected times until wildfire containment were calculated at national and regional levels.

Conclusions:

  • The findings enhance understanding of geographic variations in wildfire incident management and associated costs.
  • Results can inform future analyses on the economic efficiency of wildfire management strategies.
  • Improved insights into complexity dynamics can aid in optimizing resource allocation and decision-making.