McKenzie, Donald2009-10-052009-10-051998b4270317741571518Thesis 47278http://hdl.handle.net/1773/5602Thesis (Ph. D.)--University of Washington, 1998Climatic 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-qualitative method that can be used in the absence of fully quantitative data.v, 131 p.en-USCopyright is held by the individual authors.Theses--ForestryThesis