Table 1 Properties of the selected trait-climate relationships.

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

Traits*

Observations

Mean

Lower and upper boundaries#

Environmental factors$

R2 adjusted

P-value

Log Nmass

877

0.33

−0.02, 0.65

−MAT

0.156

<0.01

Log Narea

2485

0.26

−0.15, 0.65

+RAD, −log (MAP)

0.086

<0.01

Log LMA

3084

1.96

1.48, 2.60

+MAT, −log (MAP)

0.129

<0.01

LAI

1337

0.79

0.00, 3.10

+MAP, −RAD

0.638

<0.01

  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. The lower and upper boundaries were based on the 2.5 and 97.5 quantiles, respectively, of all individual observations. The environmental factors are MAT (mean annual temperature), MAP (mean annual precipitation) and RAD (solar radiation). “+” indicates a positive relationship and “−” indicates a negative relationship in regression analysis.
Back to article page