Figure Legend
Fig. 1 Bivariate relationships of plot-level aboveground biomass with taxonomic diversity metrics
Fig. 2 Bivariate relationships of aboveground biomass with multiple-trait functional diversity [Fric: functional richness; FEve: functional evenness; FDiv: functional divergence; FDis: functional dispersion], single-trait functional diversity [FDvar WD: functional divergence of Wood Density; FDvar Hmax: functional divergence of Plant maximum height]; functional dominance [CWM WD: community-weighted mean trait value of Wood Density; CWM Hmax: community-weighted mean trait value of Plant Maximum Height]; and structural diversity [CV DBH: tree diameter variation; CV Ht: tree height variation; CV Nbp: variation of number of primary branches]
Fig. 3 Relative importance of structural diversity, functional dominance, multiple- and single-trait functional diversity metrics used as predictors in the multiple linear model. Statistical fit summaries are presented in Table 1
Fig. 4 Structural Equation Model-fit path summary relating AGB to species richness via functional evenness and structural diversity metrics (Significant paths (P < 0.05) are represented with solid arrows and non-significant paths (P > 0.05) by dashed arrows. The single-pointed arrows represent causal paths and double-pointed arrows the residual correlations. The values without parentheses are the standardized path coefficients. The values with parentheses are the coefficients of determination. CV DBH: tree diameter variation; CV Nbp: variation of number of primary branches. Detailed statistics are shown in Tables 2-3.