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Table 6

Coefficient and intercepts of the morphology-based stemflow prediction models for different classes of rainfall depths

Rainfall class	Number of variables	Variables entered in equation	Coefficient	SE	RMSE, mm	Adjusted R²	AIC	F	Pr > F
< 5 mm	2	RR	−8.768	6.390	0.492	0.856	− 14.46	33.56	<0.0001
		LAI	−0.203	0.037
		Intercept	12.53	6.266
5–10 mm	2	RR	5.602	3.036	0.313	0.934	− 25.36	92.90	<0.0001
		LAI	−0.143	0.013
		Intercept	−1.086	2.915
10–20 mm	4	RR	5.117	1.829	0.141	0.944	− 43.57	47.08	<0.0001
		LAI	0.093	0.036
		TH	0.251	0.095
		CA	−0.055	0.013
		Intercept	−3.779	1.829
> 20 mm	3	RR	7.207	2.547	0.192	0.896	− 36.44	32.61	<0.0001
		LAI	−0.067	0.023
		DBH	0.020	0.014
		Intercept	−5.242	2.540

Rainfall class	Number of variables	Variables entered in equation	Coefficient	SE	RMSE, mm	Adjusted R²	AIC	F	Pr > F
< 5 mm	2	RR	−8.768	6.390	0.492	0.856	− 14.46	33.56	<0.0001
		LAI	−0.203	0.037
		Intercept	12.53	6.266
5–10 mm	2	RR	5.602	3.036	0.313	0.934	− 25.36	92.90	<0.0001
		LAI	−0.143	0.013
		Intercept	−1.086	2.915
10–20 mm	4	RR	5.117	1.829	0.141	0.944	− 43.57	47.08	<0.0001
		LAI	0.093	0.036
		TH	0.251	0.095
		CA	−0.055	0.013
		Intercept	−3.779	1.829
> 20 mm	3	RR	7.207	2.547	0.192	0.896	− 36.44	32.61	<0.0001
		LAI	−0.067	0.023
		DBH	0.020	0.014
		Intercept	−5.242	2.540

RR, roughness ratio; LAI, leaf area index; DBH, diameter at breast height; CA, canopy area; TH, tree height; CL, canopy length; R², coefficient of determination; F, F value; Pr, significance probability; SE, standard error; AIC, Akaike information criteria; RMSE, root mean squared error.

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