Evaluation of estimates of crown condition in forest monitoring: comparison between visual estimation and automated crown image analysis

Table 2 Results of four linear regression models using DBH increment as the dependent variable

Model	AIC	R ²	Independent variable	Coefficient	SRC	P value	Partial R ^{2 a}
Model A	99.0	0.188	Intercept	2.952		<0.001
Model A	99.0	0.188	DBH	−0.039	−0.434	0.005	0.188
Model B	92.4	0.377	Intercept	3.164		<0.001
			DBH	−0.029	−0.327	0.023	0.136
			VT (f23)^b	−0.763	−0.416	0.013	0.159
			VT (f4)^b	−0.864	−0.480	0.004	0.210
Model C	99.5	0.218	Intercept	2.632		<0.001
			DBH	−0.039	−0.434	0.005	0.194
			DSO	2.521	0.173	0.241	0.037
Model D	95.3	0.331	Intercept	2.093		<0.001
			DBH	−0.029	−0.327	0.028	0.127
			DSO	5.488	0.377	0.024	0.134
			CT (top-loss)^c	−0.874	−0.407	0.019	0.144

ISSN: 1297-966X