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Table 4 Classification accuracy and difference by species of pre-fire and post-fire tree mortality models. Cutoff = 0.5. NA = not applicable.

From: Predicting Post-Fire Tree Mortality for 12 Western US Conifers Using the First Order Fire Effects Model (FOFEM)

Species Pre-fire model accuracy Post-fire model accuracy Difference
Correctly predicted mortality (%) Correctly predicted survival (%) Total correct (%) Correctly predicted mortality (%) Correctly predicted survival (%) Total correct (%) Mortality difference Survival difference Total difference
Lodgepole pine and whitebark pine 76.7 71.4 73.1 88.9 88.6 88.7 +12.2 +17.2 +15.6
Engelmann spruce 71.0 0.0 68.2 88.7 78.2 86.1 +17.7 +78.2 +17.9
Red fir 50.0 84.1 82.8 63.2 87.4 85.2 +13.2 +3.3 +2.4
Subalpine fir 93.4 79.1 90.6 96.3 89.5 95.0 +2.9 +10.4 +4.4
White fir 80.0 74.8 77.6 81.2 77.1 79.3 +1.2 +2.3 +1.7
Incense cedar 75.7 93.4 91.7 67.5 92.8 90.3 −8.2 −0.6 −1.4
Ponderosa pines and Jeffrey pine—scorch 79.3 80.5 80.1 84.8 79.8 81.8 +5.5 −0.7 +1.7
Ponderosa pines and Jeffrey pine—kill NA NA NA 87.1 85.3 86.0 NA NA NA
Douglas-fir 85.8 76.9 78.9 81.5 82.4 82.1 −4.3 +5.5 +3.2
Western larch 54.5 93.2 90.5 68.4 93.8 92.5 +13.9 +0.6 +2.0
Sugar pine 81.4 80.4 80.8 84.2 85.8 85.1 +2.8 +5.4 +4.3