Pacific madrone viability score, 2030 (Hadley GCM, A2 emissions scenario)

Feb 1, 2011
Dataset was used in a scientifically peer-reviewed publication
Description:
This dataset portrays the viability score (scale of 0 - 1.0) for Pacific madrone (Arbutus menzeisii) in western North America in 2030, using the Met Office Hadley Centre (UK) general circulation model (GCM) and A2 emission scenario (high emissions, regionally diverse world, rapid growth) to model future climate.

(From Crookston et al. 2010): To develop the climate profile, we used a data from permanent sample plots largely from Forest Inventory and Analysis (FIA, Bechtold and Patterson, 2005) but supplemented with research plot data to provide about 117,000 observations (see Rehfeldt et al., 2006, 2009) describing the presence and absence of numerous species. The Random Forests classification tree of Breiman (2001), implemented in R by Liaw and Wiener (2002), was then used to predict the presence or absence of species from climate variables. The Random Forests algorithm outputs statistics (i.e., vote counts) that reflect the likelihood (proportion of the total votes cast) that the climate at a location would be suitable for a species. We interpret this likelihood as a viability score: values near zero indicate a low suitability while those near 1.0 indicate a suitability so high that the species is nearly always present in that climate.
Data Provided By:
USDA Forest Service, Rocky Mountain Research Station - Moscow Forestry Sciences Laboratory
Content date:
2030
Citation:
Title: Addressing climate change in the forest vegetation simulator to assess
impacts on landscape forest dynamics
Credits: Nicholas Crookston, Gerald Rehfeldt, Gary Dixon, and Aaron Weiskittel
Publication Date: 2010
Publisher: Forest Ecology and Management
Other Citation Info: Crookston, N., Rehfeldt, G., Dixon, G., and A. Weiskittel. 2010. 
Addressing climate change in the forest vegetation simulator to assess impacts on landscape forest dynamics. Forest Ecology and Management 260: 1198-1211.
Contact Organization:
Moscow Forest Sciences Laboratory
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Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 3.0 License.
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