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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)