Integrating remote sensing, GIS, and spatial statistics: a case study of invasive plants and wildfire on the Cerro Grande Fire, Los Alamos, New Mexico
Document Type: Conference Paper
Author(s): M. A. Kalkhan; E. J. Martinson; P. N. Omi; T. J. Stohlgren; G. W. Chong; M. A. Hunter
Editor(s): R. T. Engstrom; K. E.M. Galley; W. J. de Groot
Publication Year: 2004

Cataloging Information

  • catastrophic fires
  • Cerro Grande Fire
  • coniferous forests
  • distribution
  • ecosystem dynamics
  • elevation
  • fire case histories
  • fire intensity
  • fire regimes
  • fire severity
  • fuel types
  • GIS
  • habitat types
  • introduced species
  • invasive plants
  • invasive species
  • Juniperus
  • kriging
  • landscape ecology
  • Los Alamos
  • Mexico
  • multiphase design
  • multiscale sampling
  • national forests
  • native species (plants)
  • New Mexico
  • New Mexico
  • Ordinary Least Squares method
  • photography
  • Pinus edulis
  • Pinus ponderosa
  • prescribed fires (escaped)
  • remote sensing
  • sampling
  • spatial information
  • spatial statistics
  • statistical analysis
  • trend surface
  • variogram
  • wildfires
Record Maintained By:
Record Last Modified: June 1, 2018
FRAMES Record Number: 42465
Tall Timbers Record Number: 17541
TTRS Location Status: In-file
TTRS Call Number: Tall Timbers shelf
TTRS Abstract Status: Okay, Fair use, 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.


Investigating spatial relationships among fuels, wildfire severity, and post-fire invasion by exotic plant species through linkage of multiphase sampling design and multiscale nested sampling field plots, pre- and post-fire, can be accomplished by integrating spatial information with spatial statistical models. This technique provides useful information and tools for describing ecological and environmental characteristics, including landscape-scale fire regimes, invasive plants, and hotspots of diversity (native and exotic plants) for the Cerro Grande fire site, Los Alamos, New Mexico. To predict the distribution, presence, and patterns of native and exotic species, we used modeling of large- and small-scale variability by integrating field data and spatial information (eight bands of Landsat Thematic Mapper [TM] data, six derived vegetation indices, six bands of tasseled cap transformations, elevation, slope, aspect) and spatial statistics. We present the results of trend surface models that describe the large-scale spatial variability using stepwise multiple regressions based on the Ordinary Least Squares (OLS) method. Models with small variance were selected. In addition, the residuals from the trend surface model based on the OLS estimates were modeled using ordinary kriging for modeling small-scale variability based on a Gaussian semi-variogram. The final surfaces were obtained by combining two models (the trend surface based on the OLS and the kriging surface of residuals). All models were selected based on the lowest values of standard errors, modified Akaike's Information Criterion (AICC) statistics, and high R2. For large-scale spatial variability models using the OLS procedure, R2 values ranged from 10.04% to 58.6% and all variables were significant at a < 0.05 level. When the kriging model was added with the OLS model, R2 values ranged from 60% to 84%. This new technique will help natural resource management teams to identify areas vulnerable to invasion by exotic plant species and predict their consequent potential for wildfire. © 2004, Tall Timbers Research, Inc.

Kalkhan, M. A., E. J. Martinson, P. N. Omi, T. J. Stohlgren, G. W. Chong, and M. A. Hunter. 2004. Integrating remote sensing, GIS, and spatial statistics: a case study of invasive plants and wildfire on the Cerro Grande Fire, Los Alamos, New Mexico, in Engstrom, R. T., Galley, K. E. M., and de Groot, W. J., Proceedings 22nd Tall Timbers Fire Ecology Conference: Fire in temperate, boreal, and montane ecosystems. Kananaskis Village, Alberta, Canada. Tall Timbers Research, Inc.,Edmonton, Alberta, Canada [Imperial Printing Ltd.]. p. 191-199,