S. Sierra - Limitation of Species Model Results

Sep 2, 2010 (Last modified Sep 10, 2010)
Created by Dominique Bachelet
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Description
How to interpret results from species models in the S Sierras:

1. Low density of met stations means the climate data used in species models have an inherently high degree of uncertainty (data were interpolated across complex terrain using the few station records that exist for the area)
2. There are several rivers that criss-cross the area. These riparian areas provide cool moist conditions decoupling with the projected regional warming that is used by the species model. They can provide refugia for species in need of shade or moisture.
3. if we had a layer that showed roads and trails we would also be able to look at potential risk for fire ignitions (due to humans) and potential for invasive expansion.


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Dominique Bachelet
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About the Map Author

Dominique Bachelet
climate change scientist with Oregon State University

Dominique received her Master’s degree in 1978 in Lille (France) and her Ph.D. in 1983 from Colorado State University with a thesis focused on biogeochemical cycles in the shortgrass prairie. In 1984 she went to U.C. Riverside as a postdoc simulating nitrogen fixing shrubs in the Sonoran desert then...