Correction to: Morphological variation of fine root systems and leaves in primary and secondary tropical forests of Hainan Island, China

Table 3 Regression results from least-squares linear models in the form of trait ~ variable. Table to accompany Fig. 5. Models were fit separately by forest type

Trait (units)	Forest type	Variable (units)	β	Se	P	F(1,148)	R ²	RMSE
Specific root length (m g⁻¹)	Secondary	Soil BS (%)	0.026	0.018	n.s	1.94	0.01	3.11
	Primary	Soil BS (%)	0.117	0.055	*	4.53	0.03	3.38
	Secondary	Soil P (g kg⁻¹)	2.34	8.48	n.s	0.08	< 0.01	3.13
	Primary	Soil P (g kg⁻¹)	32.41	12.83	*	6.38	0.04	3.36

*p < 0.05, **p < 0.01, ***p < 0.001
^aModel coefficient estimates (β), standard errors (se), and associated probabilities (p) are given for each variable by forest type (intercept terms are not shown). Regression F-statistics (F) and coefficients of determination (R²) and root-mean-squared error (RMSE) are given for each model. The F(1,148) critical value at α = 0.05 is 3.905. Italicized model coefficients show significant ANCOVA interaction terms between forest type and soil variable (p < 0.05). n.s. non-significant, Probabilities are denoted as follows:

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