Aboveground carbon storage is driven by functional trait composition and stand structural attributes rather than biodiversity in temperate mixed forests recovering from disturbances

Table 2 The best multiple model obtained from a series of linear mixed-effect models for predicting aboveground C storage based on 260 plots

Predictors	Beta	t	P
Niche complementarity hypothesis
PDF
MNTD	0.09	3.94	< 0.001
FDis
FEve	0.05	2.56	0.011
Stand structure attributes
BA	0.26	11.9	< 0.001
H_d
CV_DBH	0.13	6.21	0.001
Mass ratio hypothesis
CWM_MH	0.22	7.56	< 0.001
CWM_WD	0.13	5.19	< 0.001
Topographic factor
Elevation
Slope
Disturbance levels	− 0.21	3.27	0.001
Model statistics	R ² _m	R ² _c	AICc
Model statistics	0.72	0.81	73.5

Standardized regression coefficient (beta), t test, P value, conditional (c) and marginal (m) R² (both fixed and random effects (R²_c) and fixed effects only (R²_m)) and a corrected Akaike Information Criterion for small data sets (AICc) are given. The model selection table is provided in Table S5 (Electronic supplementary material). Variable abbreviations are given in Fig. 2

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