Document


Title

Research and development supporting risk-based wildfire effects prediction for fuels and fire management: status and needs
Document Type: Journal Article
Author(s): Kevin Hyde; Matthew B. Dickinson; Gil Bohrer; David E. Calkin; Louisa B. Evers; Julie W. Gilbertson-Day; Tessa Nicolet; Kevin C. Ryan; Christina L. Tague
Publication Year: 2013

Cataloging Information

Keyword(s):
  • decision support
  • fire intensity
  • fire management
  • fuel management
  • integrated assessment
  • post-fire recovery
  • rate of spread
  • research
  • spatial scale
  • temporal
  • temporal scale
  • wildfire management
  • wildfires
  • wildlife habitat management
Record Maintained By:
Record Last Modified: September 17, 2019
FRAMES Record Number: 51725
Tall Timbers Record Number: 28677
TTRS Location Status: In-file
TTRS Call Number: Journals - I
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

Wildland fire management has moved beyond a singular focus on suppression, calling for wildfire management for ecological benefit where no critical human assets are at risk. Processes causing direct effects and indirect, long-term ecosystem changes are complex and multidimensional. Robust risk-assessment tools are required that account for highly variable effects on multiple values-at-risk and balance competing objectives, to support decision making. Providing wildland fire managers with risk-analysis tools requires a broad scientific foundation in fire behaviour and effects prediction as well as high quality computer-based tools and associated databases. We outline a wildfire risk-assessment approach, highlight recent developments in fire effects science and associated research needs, and recommend developing a comprehensive plan for integrated advances in wildfire occurrence, behaviour and effects research leading to improved decision support tools for wildland fire managers. We find that the current state of development in fire behaviour and effects science imposes severe limits on the development of risk-assessment technology. In turn, the development of technology has been largely disconnected from the research enterprise, resulting in a confusing array of ad hoc tools that only partially meet decision-support needs for fuel and fire management. We make the case for defining a common risk-based analytic framework for fire-effects assessment across the range of fire-management activities and developing a research function to support the framework.

Online Link(s):
Citation:
Hyde, Kevin D.; Dickinson, Matthew B.; Bohrer, Gil; Calkin, David E.; Evers, Louisa; Gilbertson-Day, Julie; Nicolet, Tessa; Ryan, Kevin C.; Tague, Christina L. 2013. Research and development supporting risk-based wildfire effects prediction for fuels and fire management: status and needs. International Journal of Wildland Fire 22(1):37-50.