Table 1.

Results of the structural equation modeling carried out to test the effects of species richness on carbon stocks (AGC) via functional diversity and functional dominance

	Est.std	SE	Z	p‐value	Est.std	SE	Z	p‐value
	Full mediation				Partial mediation
Regressions
Path from species richness to Fric	0.69	0.14	5.02	<.001	0.69	0.14	5.02	<.001
Path from species richness to Feve	0.02	0.19	0.09	.926	0.02	0.19	0.09	.926
Path from species richness to CWM (PHm)	0.06	0.19	0.32	.750	0.06	0.19	0.32	.750
Path from species richness to CWM (SLA)	−0.18	0.19	−0.99	.324	−0.18	0.19	−0.99	.324
Path from species richness to CWM (WD)	0.38	0.18	2.20	.028	0.38	0.18	2.20	.028
Path from Fric to AGC	0.47	0.16	3.04	.002	0.24	0.19	1.27	.203
Path from Feve to AGC	−0.39	0.14	−2.70	.007	−0.38	0.14	−2.75	.006
Path from CWM (PHm) to AGC	−0.10	0.22	−0.46	.642	−0.16	0.21	−0.77	.440
Path from CWM (SLA) to AGC	−0.37	0.18	−2.06	.039	−0.30	0.17	−1.74	.081
Path from CWM (WD) to AGC	−0.21	0.19	−1.09	.275	−0.33	0.20	−1.66	.096
Path from species richness to AGC					0.41	0.20	2.00	.046
Residual correlations
Path from CWM (WD) to CWM (SLA)	0.45	0.15	3.02	.003	0.45	0.15	3.02	.003
Path from CWM (WD) to CWM (PHm)	−0.71	0.09	−7.50	<.001	−0.71	0.09	−7.50	<.001
Path from CWM (SLA) to CWM (PHm)	−0.63	0.11	−5.54	<.001	−0.63	0.11	−5.54	<.001
Path from Feve to Fric	0.29	0.17	1.69	.090	0.29	0.17	1.69	.090
Model fit statistics
AIC	306.2				304.2
p‐value (chi‐square)	.115				.275
R 2	0.45				0.52

Est.std, path standardized coefficients; SE, standard error; Fric, functional richness; Feve, functional evenness; CWM, community weight mean; PHm, maximum plant height; SLA, specific leaf area; WD, wood density.