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Type: Conference Paper
Author(s): Kelly B. Scott; Brian P. Oswald; Kenneth W. Farrish; Daniel Unger
Editor(s): Leon F. Neuenschwander; Kevin C. Ryan; Greg E. Gollberg
Publication Date: 2000

Fuel load prediction equations that make use of aerial photographs were developed for Mixed Conifer, Ponderosa pine (Pinus ponderosa Dougl. Ex Laws.) and Pinyon-Juniper (Pinus edulis Engelm.) (Juniperus monosperma Engelm.) cover types from one time measurements made in the Santa Fe watershed located in the Sangre de Cristo Mountains of northern New Mexico. Additional fuel sampling occurred at Los Alamos National Laboratory (LANL) located in the Jemez Mountains of northern New Mexico. Use of these or similar prediction equations may be limited to certain regions and community types that exhibit similar regional characteristics such as terrain, soils, and weather conditions. This was demonstrated when the prediction equations developed from the Santa Fe watershed data set was applied to both the watershed and LANL data sets for comparison. The results of the watershed data set were favorable and exhibited a high degree of relative accuracy. The results from the LANL data set did not share the same degree of accuracy but rather exhibited a high degree of error. This may strongly indicate possible limitations for applied use of prediction equations of this nature to regions that exhibit similar characteristics such as terrain, soils and weather. Small difference in site characteristics, such as the amount of precipitation or evapotranspiration that occurs, may have an effect on the amount of bio-mass or fuels generated on one site that is not reflected on another site even though they may be within a few miles of each other.Applied use of the prediction equations required less time than traditional fuel sampling performed on-site, but suffered from a loss of accuracy. It is strongly suggested that additional study of this method be undertaken to generate more accurate and reliable equations. Hopefully, more accurate equations may augment existing fuel sampling techniques and be put to practical use in the future for fire planning purposes. © University of Idaho 2000. Abstract reproduced by permission.

Online Links
Citation: Scott, K., B. Oswald, K. Farrish, and D. Unger. 2000. The use of aerial photography for development of fuel loading prediction models within three cover types in the Jemez and Sangre de Cristo Mountains of New Mexico, 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. 41-48,

Cataloging Information

Fire Ecology    Fuels    Mapping    Models
Alaska    California    Eastern    Great Basin    Hawaii    Northern Rockies    Northwest    Rocky Mountain    Southern    Southwest    International    National
  • biomass
  • catastrophic fires
  • community ecology
  • coniferous forests
  • cover
  • cover type
  • crowns
  • dead fuels
  • decomposition
  • digital data collection
  • evapotranspiration
  • fire management
  • fire suppression
  • fuel accumulation
  • fuel loading
  • fuel management
  • fuel models
  • fuel moisture
  • GIS
  • Idaho
  • JFSP - Joint Fire Science Program
  • Juniperus
  • Juniperus monosperma
  • litter
  • live fuels
  • Los Alamos
  • Mexico
  • mountains
  • national forests
  • New Mexico
  • overstory
  • photography
  • Pinus edulis
  • Pinus ponderosa
  • post fire recovery
  • precipitation
  • remote sensing
  • sampling
  • soils
  • statistical analysis
  • understory vegetation
  • watersheds
  • woody fuels
  • woody plants
Tall Timbers Record Number: 19512Location Status: In-fileAbstract Status: Fair use, Okay, Reproduced by permission
Record Last Modified:
Record Maintained By: FRAMES Staff (
FRAMES Record Number: 44192

This bibliographic record was either created or modified by Tall Timbers 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 Tall Timbers.