Table 2 Results for selected traits in Gaussian mixture models (GMMs).

From: A novel approach for modelling vegetation distributions and analysing vegetation sensitivity through trait-climate relationships in China

ID

Models*

Overall accuracy (%)

Kappa coefficient (%)

1

Nmass, Narea

65.95

87.51

2

Nmass, LMA

66.24

87.38

3

Nmass, LAI

65.37

87.56

4

Narea, LMA

66.93

87.27

5

Narea, LAI

57.95

89.16

6

LMA, LAI

65.86

87.57

7

Nmass, Narea, LMA

73.46

85.69

8

Nmass, LMA, LAI

72.82

85.91

9

Nmass, Narea, LAI

70.71

86.28

10

Narea, LMA, LAI

70.80

86.17

11

Nmass, Narea, LMA, LAI

68.48

85.85

  1. The traits are Nmass (mass-based leaf nitrogen), Narea (area-based leaf nitrogen), LMA (leaf mass per area) and LAI (leaf area index). Nmass, Narea and LMA were log10-transformed before analysis.
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