Table 1 Parameters of the mixed-effects multiple regression model (Eq. (1)).

From: Forest production efficiency increases with growth temperature

 

Estimate

Std Error

df

t value

p value

Significance

Random intercepts

      

 ‘Micromet’

0.23

     

 ‘Scaling | biometric’

0.14

     

Intercept (β0) Slopes:

0.19

0.106

24

1.77

0.09

n.s.

 MAT (β1)

0.0060

0.0025

136

2.45

0.016

*

 age (β2)

−0.00038

0.000116

136

−3.28

0.0013

**

 TAP (β3)

6.8E–5

2.07E–05

136

3.28

0.0014

**

 |lat| (β4)

0.0039

0.0016

136

2.45

0.016

*

  1. Parameter estimate of coefficients in Eq. (1) and their standard errors (Std. Error), degrees of freedoms (df), t- and p values of the two-sided t-test and the ANOVA (*p < 0.05, **p < 0.01, ***p < 0.001). The squared Pearson’s correlation coefficient and the squared Spearman’s correlation values are both equal to 0.31.
  2. MAT mean annual temperature, age stand age, TAP total annual precipitation, |lat| absolute latitude.
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