Filters: Tags: genetic adaptation (X)
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This dataset portrays the viability score (scale of 0 - 1.0) for Quaking aspen (Populus tremuloides) in western North America in 2030, using the Geophysical Fluid Dynamics Laboratory - Princeton University, NOAA Research (GFDLCM21) 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....
This dataset portrays the viability score (scale of 0 - 1.0) for California black oak (Quercus kelloggii) in western North America in 2030, using the Geophysical Fluid Dynamics Laboratory - Princeton University, NOAA Research (GFDLCM21) 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...
This dataset portrays the viability score (scale of 0 - 1.0) for Western hemlock (Tsuga heterophylla) in western North America in 2090, using the Canadian Center of Climate Modeling and Analysis (CGCM3) 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...
This dataset portrays the viability score (scale of 0 - 1.0) for Alaska cedar (Chamaecyparis nootkatensis) in western North America in 2090, using the Canadian Center of Climate Modeling and Analysis (CGCM3) 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...
This dataset portrays the "current" (2010) viability score (scale of 0 - 1.0) for Ponderosa pine (pinus ponderosa) in western North America. It serves as the base condition for future species-climate profiles. (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...
This dataset portrays the "current" (2010) viability score (scale of 0 - 1.0) for Englemann spruce (Picea englemannii) in western North America. It serves as the base condition for future species-climate profiles. (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...
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