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Table 7 Best predictor variables for invasive species occurring in more than 10% of the wildfire sites in Montana, Idaho, and Washington, USA, that burned in July and August between 2003 and 2007. Abbreviations for predictor variables are: sprp = spring precipitation, dNBR = burn severity index, mmin = mean minimum temperature of the coldest month, map = mean annual precipitation, and winp = winter precipitation. xR2 is the cross-validated R2. Bootstrap xR2 is the average fit of 100 models run with the selected predictors and associated standard error (SE). N is the average number of sites contributing to the model estimate at each point on the modeled surface. The tolerance value indicates how broadly a given point estimate is influenced by the surrounding sample space. Sensitivity ranges from 0 to 1 and indicates the relative importance of each predictor in the model

From: Does burn severity affect plant community diversity and composition in mixed conifer forests of the United States Intermountain West one decade post fire?

Species

Plots (n)

xR2

Bootstrap xR2 (SE)

N

Predictor

Sensitivity

Tolerance

Bromus tectorum

89

0.261

0.691 (±0.029)

4.9

sprp

0.110

4.56 (10%)

dNBR

0.056

182.9 (15%)

mmin

0.072

22.8 (20%)

Centaurea stoebe

89

0.275

0.733 (±0.030)

4.5

dNBR

0.182

61.0 (5%)

map

0.040

52.1 (15%)

winp

0.020

50.0 (30%)

Cirsium spp.

89

0.037

0.501 (±0.041)

32.1

mmin

0.065

28.6 (25%)

dNBR

0.025

365.7 (30%)