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Data points intensively sampling 46 North American biomes were used to predict the geographic distribution of biomes from climate variables using the Random Forests classification tree. Techniques were incorporated to accommodate a large number of classes and to predict the future occurrence of climates beyond the contemporary climatic range of the biomes. Errors of prediction from the statistical model averaged 3.7%, but for individual biomes, ranged from 0% to 21.5%. In validating the ability of the model to identify climates without analogs, 78% of 1528 locations outside North America and 81% of land area of the Caribbean Islands were predicted to have no analogs among the 46 biomes. Biome climates were projected...
Categories: Data;
Types: Downloadable,
Map Service,
Raster;
Tags: British Columbia,
Data Visualization & Tools,
Idaho,
Landscapes,
Map Layer Service, All tags...
Montana,
Northwest CASC,
Other Landscapes,
Random Forests classification tree,
Science Tools For Managers,
Washington,
climate change impacts,
climate niche modeling,
land management alternatives,
vegetation model, Fewer tags
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This map is part of a series that are all created using essentially the same method, as outlined in section 2.2 of this paper: Crookston, NL, GE Rehfeldt, GE Dixon, AR Weiskittel. 2010. Addressing climate change in the forest vegetation simulator to assess impacts on landscape forest dynamics. Forest Ecology and Management. 260:1198-1211. The values are species viability scores in the range of 0 to 1, where low numbers indicate that the climate is not consistent with where the species grows and high numbers indicates consistency.
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