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.