Table 2. Coefficients of the pixel-based forest gain model.

Maximum likelihood estimates of the coefficients of the predictor variables obtained in a logistic regression model to assess the probability of forest gain during the 2000–2010 period. See Materials and Methods for details on the logistic regression models developed in the study.

Parameter	Estimate	SE	Wald χ2	P > χ2
Intercept	1.2464	1.1394	1.1966	0.2740
Easting	1.528 × 10−7	1.02 × 10−7	2.2462	0.1339
Northing	−5.61 × 10−7	1.652 × 10−7	11.5298	0.0007
Initial tree cover	0.00415	0.00295	1.9723	0.1602
Distance to main roads	−0.00488	0.00174	7.8691	0.0050
Population density in 2000	−0.00005	0.000015	10.4924	0.0012
CTI	−0.2077	0.0349	35.4714	<0.0001
Elevation	−0.00023	0.000044	27.1876	<0.0001
Slope	−0.00523	0.00781	0.4485	0.5031
Aspect	0.0114	0.00830	1.8695	0.1715
Precipitation	−0.00257	0.00405	0.4027	0.5257
Temperature	0.0743	0.0216	11.7815	0.0006