Tracking suitable habitat for tree populations under climate change in western North America: gridded species distribution data

Gridded species distribution maps, corresponding to the paper:Gray, L. K. and Hamann, A. 2013. Tracking suitable habitat for tree populations under climate change in western North America. Climatic Change 117: 289–303. [DOI: https://doi.org/10.1007/s10584-012-0548-8, PDF: https://tinyurl.com/2644zkuy]Note that additional grids are included that were not part of the publication, which includes species distribution grids that also use soil variables as predictors as well as lower frequency species that could not be well modeled with the available plot data. We recommend to use habitat projections for species included in the publications (black spruce | Douglas-fir | Engelmann Spruce | lodgepole pine | Pacific silver fir | ponderosa pine | Sitka spruce | tamarack | trembling aspen | western hemlock | western larch | western redcedar | western white pine | white spruce | yellow cedar)We recommend using the files that end in "_co", standing for "climate only". Files ending in "_cs", standing for "climate & soils" constrain habitat shifts under future projections because climate and soil variables are to some degree autocorrelated, and it is not generally recommended to use static variables in future projections of species distribution models.The file names further include the strings "_Freq" standing for "species frequency" or "_Count", standing for "Count of presence" under multiple model runs. Frequency is the average frequency of model runs for 9 AOGCMs, Count means that the number of models that predict presence above threshold values, quantifying uncertainty due to different future climate projections (see Fig. 2 of the publication or the species maps linked above).The strings: gs "_6190", "_9706", "_2020", "_2050", "_2080" in the file names stand for climate periods: 1961-1990 (baseline), 1997-2006 (recent decade), 2011-2040, 2041-2070, 2071-2100 (projected climate averages).The projection is available in the download folders together with an outline shape file of the study area. Rename the .prj file to the same name as the grid you would like to import or display, and it will be picked up by the software. In plain text, the projection is: PROJCS["Lambert Conformal Conic",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-95.0],PARAMETER["Standard_Parallel_1",49.0],PARAMETER["Standard_Parallel_2",77.0],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]]