Table 3 Coefficients of county-based spatial autoregressive models.

Estimates of the coefficients of the spatial autoregressive models developed to assess the relationship between county-based independent variables and significant gain and loss of forest cover [presented as coefficient (SE)]. See Materials and Methods for details on these spatial autoregressive models.

ParameterForest lossForest gain
R20.4780.742
Intercept2.61 × 10−5 (0.0006)−0.0004 (0.0019)
NFCP−0.0007 (0.0004)0.0070* (0.0015)
GDP per capita in 20000.0014 (0.0005)−0.0023 (0.0018)
Change (2010–2000) in GDP−2.04 × 10−7 (6.109 × 10−7)1.36 × 10−7 (2.02 × 10−6)
Grain production in 20004.01 × 10−6 (1.91 × 10−5)−1.10 × 10−5 (6.32 × 10−5)
Change (2010–2000) in grain production8.43 × 10−7 (2.20 × 10−6)−2.77 × 10−6 (7.18 × 10−6)
Meat production in 2000−2.29 × 10−5 (0.0001)6.21 × 10−5 (0.0003)
Change (2010–2000) in meat production−2.17 × 10−6 (1.73 × 10−6)4.10 × 10−6 (5.72 × 10−6)
Total population in 20001.34 × 10−5 (2.13 × 10−5)8.30 × 10−5 (7.03 × 10−5)
Change (2010–2000) in total population4.47 × 10−7 (1.48 × 10−5)−3.10 × 10−5 (4.88 × 10−5)
Rural labor in 2000−3.94 × 10−5 (4.00 × 10−5)−0.0002 (0.0001)
Change (2010–2000) in rural labor−1.31 × 10−6‡ (6.21 × 10−7)−6.45 × 10−6† (2.05 × 10−6)
Spatial autoregressive term0.6922* (0.0195)0.8493* (0.0122)

*P < 0.001.

P < 0.01.

P < 0.05.