Table 1.

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

	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	*

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.

MAT mean annual temperature, age stand age, TAP total annual precipitation, |lat| absolute latitude.