We have
used the Environmental Evaluation Modeling System (EEMS) to create fuzzy logic
models to assess the potential for ecological impacts of climate change in Utah
and the Colorado Plateau. The first of these models combined soil
characteristics with potential evapotranspiration for a metric of site
sensitivity to climate change. The second used changes over time in
precipitation, minimum temperature, maximum temperature, and aridity to produce
a measure of climate change exposure. This model was run for time periods
2015-2030 and 2045-2060 using each of five climate futures as well as the
ensemble mean of the five futures. The third model combined the results of the
first two models for a metric of potential climate impacts.
Results
reveal a complex pattern of site sensitivity across the study area with areas
of high sensitivity locally driven by soil pH, wind erodibility, and low
available water capacity. Climate exposure increases for all models through
time and is more strongly influenced by changes in minimum temperature in the
northern portion of the region and changes in maximum temperature in the
southern portion. Precipitation change has virtually no influence. Potential
climate impacts are generally highest along the southern portion of the study
area and lowest in the Wasatch and Uinta mountains as well as the mountain
ranges to the south of the Great Salt Lake.