Document


Title

Measurement repeatability of a large-scale inventory of forest fuels
Document Type: Journal Article
Author(s): J. A. Westfall; C. W. Woodall
Publication Year: 2007

Cataloging Information

Keyword(s):
  • biomass
  • cover
  • data quality
  • decomposition
  • duff
  • DWM - down woody material
  • FIA - Forest Inventory and Analysis
  • fire control
  • fire danger rating
  • flammability
  • forest biomass
  • forest fire
  • forest management
  • fuel accumulation
  • fuel management
  • fuels inventory
  • heavy fuels
  • herbaceous vegetation
  • leaves
  • litter
  • measurement bias
  • sampling
  • shrubs
  • statistical analysis
  • wildfires
  • woody fuels
Record Maintained By:
Record Last Modified: June 21, 2018
FRAMES Record Number: 46815
Tall Timbers Record Number: 22628
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

An efficient and accurate inventory of forest fuels at large scales is critical for assessment of forest fire hazards across landscapes. The Forest Inventory and Analysis (FIA) program of the USDA Forest Service conducts a national inventory of fuels along with blind remeasurement of a portion of inventory plots to monitor and improve data quality. The goal of this study was to evaluate the measurement repeatability/biases of FIA's national inventory of fuels and suggest opportunities for improving data quality and application of sampling protocols. Results indicated that more than half of the attributes did not attain the desired levels of repeatability and about one-third exhibited a non-zero measurement bias. However, the bias generally had little affect on plot-level estimates. A number of factors that contributed to these results were examined and a holistic approach that considers all aspects of inventory was suggested to improve measurement repeatability. Published by Elsevier B.V.

Citation:
Westfall, J. A., and C. W. Woodall. 2007. Measurement repeatability of a large-scale inventory of forest fuels. Forest Ecology and Management, v. 253, no. 1-3, p. 171-176. 10.1016/j.foreco.2007.07.014.