FAME Lab (Banner graphic thanks to Carole Guizzetti)
  
FAME Lab Home  >  Research  >  Graduate Student Abstracts  >  McKenzie  
Modeling large-scale fire effects: concepts and applications

Ph.D. Dissertation Abstract by Don McKenzie (1998)

Climatic changes anticipated for the next century are expected to alter the effects of fire on large-scale vegetation patterns. It is unlikely that future interactions between fire and vegetation can be predicted from knowledge of current and historic patterns. Thus, there is a need for simulation models that will produce realistic large-scale projections. Three topics were addressed in this paper: 1) the difficulties in applying current fine-scale models across coarse scales, 2) qualitative modeling at continental scales, and 3) semi-qualitative modeling at regional scales. A review of extrapolation problems revealed that a variety of methods have been developed by modelers; each has its advantages and disadvantages. A continental-scale model of vegetation changes expected from increased fire frequency suggested the large-scale patterns would be more homogeneous as a result of new dominant vegetation in fire-sensitive ecosystems. A regional-scale model that predicted fire frequency from environmental variables and vegetation types produced GIS coverages of mean fire return intervals at 1 km resolution for the Interior Columbia River Basin, and demonstrated a semi-qualitiative method that can be used in the absence of fully quantitative data.

Metadata for this project are available.

Fire and Mountain Ecology Lab   College of Forest Resources   University of Washington   Seattle WA   98195-2100
  http://www.cfr.washington.edu/research.fme