Document


Title

Predicting wildfires
Document Type: Journal Article
Author(s): Patricia L. Andrews; Mark A. Finney; M. Fischetti
Publication Year: 2007

Cataloging Information

Keyword(s):
  • catastrophic fires
  • dead fuels
  • fire danger rating
  • fire dependent species
  • fire intensity
  • fire management
  • fire size
  • fire suppression
  • firefighting personnel
  • forest management
  • fuel accumulation
  • fuel management
  • litter
  • rate of spread
  • thinning
  • wildfires
Record Maintained By:
Record Last Modified: January 3, 2019
FRAMES Record Number: 46164
Tall Timbers Record Number: 21833
TTRS Location Status: In-file
TTRS Call Number: Fire 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.

Description

This article examines the growing number of wildfires in the United States. Forest fires are being fueled by deadwood and debris that have been allowed to accumulate by the caretakers of the land. The use of computer modeling is aiding in the prediction of where fires will occur and is helping land managers better plan their firefighting strategy. Software is emerging that can gauge how future fires might be mitigated by thinning forests or allowing some fires to burn.

Online Link(s):
Citation:
Andrews, P., M. Finney, and M. Fischetti. 2007. Predicting wildfires. Scientific American, v. 297, no. 2, p. 46-54.