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

Feb 1, 2011
Dataset was used in a scientifically peer-reviewed publication
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:
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
Contact Person(s):
Use Constraints:
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 3.0 License.
Layer Type:
Currently Visible Layer:
All Layer Options:
Layers in this dataset are based on combinations of the following options. You may choose from these options to select a specific layer on the map page.
Spatial Resolution:
Other Information:
Time Period:
Layer Accuracy:
Attribute Accuracy:
FGDC Standard Metadata XML
Click here to see the full FGDC XML file that was created in Data Basin for this layer.
Original Metadata XML
Click here to see the full XML file that was originally uploaded with this layer.
This dataset is visible to everyone
Dataset Type:
Layer Package
Downloaded by 1 Member
Bookmarked by 1 Group
Included in 1 Public Map
Included in 1 Public Gallery

About the Uploader

Conservation Biology Institute

The Conservation Biology Institute (CBI) provides scientific expertise to support the conservation and recovery of biological diversity in its natural state through applied research, education, planning, and community service.