Using satellite imagery and insolation model output as indicator variables to map interactions among fire and forest dwelling microbes [abstract]
Document Type: Conference Paper
Author(s): G. I. McDonald; M. Moeur; J. Evans; T. M. Rice; Eva K. Strand
Publication Year: 2000

Cataloging Information

  • Armillaria
  • decay
  • decomposition
  • distribution
  • disturbance
  • fire management
  • fire regimes
  • GIS - geographic information system
  • GPS - global positioning system
  • Idaho
  • land management
  • microorganisms
  • moisture
  • national forests
  • Oregon
  • pest control
  • plant communities
  • plant diseases
  • remote sensing
  • sampling
  • soil moisture
  • succession
  • watersheds
  • wilderness areas
  • wilderness fire management
Record Maintained By:
Record Last Modified: October 2, 2020
FRAMES Record Number: 38213
Tall Timbers Record Number: 12775
TTRS Location Status: In-file
TTRS Call Number: Fire File (Fire Conference 2000)
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.


Behavior and biology of many forest pests are tied to major forest disturbances and succession. The principle disturbance in the forests of the western United States is fire. Fire regimes as well as distribution and behavior of forest pests and beneficial microbes such as pathogenic and saprophytic Armillaria are all strongly associated with plant communities. Thus, mapping of plant communities would facilitate our ability to understand, predict, and manage interaction among these ecological processes. Preliminary attempts to map potential vegetation subseries (subdivision of climax forest series) using Landsat images and a solar insolation model produced a "reasonableā€ classification for a portion of the Eagle Cap Wilderness on the Wallowa Whitman National Forest in northeastern Oregon and suggested a potential mapping method. This paper compares the accuracy of two methods of vegetation mapping on a watershed in the Priest River Experimental Forest in northern Idaho. The first method integrates satellite imagery, insolation and several other variables using most similar neighbor analysis (MSN). MSN assigns values using a multivariate difference function to create classes based on the similarity of the training samples to the global variables. The second approach merges a potential vegetation coverage based on a landtype classification system and an aggregation of insolation coverage to create a classification based on preexisting vegetation data. Plant communities were determined on 300 ground-truth plots of 15-rn radius (506 in2) on the 780-hectare watershed. The center of each plot was established using differential GPS. The final product of this endeavor will be a subseries map of the watershed that should facilitate understanding interactions among fire, decomposition, soil moisture, and pest regimes.

McDonald, G. I., M. Moeur, J. Evans, T. M. Rice, and E. Strand. 2000. Using satellite imagery and insolation model output as indicator variables to map interactions among fire and forest dwelling microbes [abstract], Proceedings of Fire Conference 2000: The First National Congress on Fire Ecology, Prevention and Management, 27 November-December 1, 2000, San Diego, CA. [program volume]. University Extension, University of California Davis,Davis, CA.