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Table 4 Climate niche models developed for each tree species and two shrub community types

From: Potential influence of wildfire in modulating climate-induced forest redistribution in a central Rocky Mountain landscape

Species Model predictorsa (tolerance) LogB AUC Model presence (n) Validation presence (n)
Grand fir MTCM (1.35) LogMAP (0.04) logGSP (0.08) 510.2 0.93 971 930
Subalpine fir DD5 (134.25) LogMAP (0.09) PRATIO (0.07) 424.0 0.89 1224 1220
Engelmann spruce SDI (0.03) DD5 (268.50) LogMAP (0.04) 238.6 0.86 779 772
Whitebark pine MTWM (0.86) MTCM (0.68) 227.1 0.93 348 351
Limber pine MTWM (1.72) MTCM (0.68) PRATIO (0.05) 63.6 0.93 78 69
Lodgepole pine SDI (0.03) MTCM (2.03) LogMAP (0.04) 247.1 0.81 1142 1149
Ponderosa pine MTWM (1.72) MMINDD0 (375.70) 247.7 0.89 584 552
LogMAP (0.04)     
Aspen MTWM (1.72) MTCM (1.35) LogMAP (0.04) 122.5 0.87 309 293
Douglas-fir ADI (0.01) MTWM (0.86) MTCM (1.35) 327.1 0.82 2268 2218
Mountain shrub MTWM (1.72) MMINDD0 (375.70) 11.9 0.66 101 93
PRATIO (0.05) logGSP (0.12)     
Semi-arid shrub-grass ADI (0.01) SDI (0.03) MTCM (0.68) 271.5 0.81 1420 1185
  1. aRefer to Table 1 for predictor abbreviation descriptions. Tolerance = parameter indicating the breadth of the surrounding sample space required to make an estimate for a given point in the model (specifically, the standard deviation of the Gaussian weighting function for each predictor, given in original units for each predictor). LogB = log10 (likelihood ratio), indicating improvement of a new model over the naïve model (i.e., where the probability of encountering the species is the average frequency of occurrence of the species). LogB values vary with number of presence points; thus, is not a good comparison metric among species models. AUC = area under receiver operating characteristic (calculated for validation on the new sites). Model presence = number of presence points for the model (out of 4445). Validation presence = number of presence points in the validation dataset (out of 4443)