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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