Providing confidence in regional maps in predicting where nonnative species are invading the forested landscape.Author(s): Dennis M. Jacobs; Victor A. Rudis
Source: McRoberts, R.; Reams, G.A.; van Deusen, P.C.; [and others] NC-252. St. Paul, MN: U.S. Department of Agriculture, Forest Service, North Central Research Station: 17-19.
Publication Series: Miscellaneous Publication
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DescriptionNonnative invasive plant species introduced to the South during the past century threaten to forest resources. Knowing their extent is important for strategic management and planning. We used U.S. Department of Agriculture, Forest Service, Forest Inventory and Analysis (FTA) field observations at ground-sampled locations to model the geographic occurrence probability of forest land in the sampled region, and selected nonnative invasive species in ground-sampled forest land locations. We chose kriging to interpolate and map features geostatistically, and to portray quantitative confidence in the estimates across the sampled region.
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CitationJacobs, Dennis M.; Rudis, Victor A. 2005. Providing confidence in regional maps in predicting where nonnative species are invading the forested landscape. McRoberts, R.; Reams, G.A.; van Deusen, P.C.; [and others] NC-252. St. Paul, MN: U.S. Department of Agriculture, Forest Service, North Central Research Station: 17-19.
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