Table 1.

Lowest AICC model fits (β) and p-values for above-ground biomass (AGB), basal area (BA), BA-weighted wood mass density (WMDBA) and stem density (SD) without (OLS) and with (SEVM) spatial filters to account for the spatial structure in the dataset. TA, average mean annual temperature; Tmin, minimum monthly temperature; TWARMQ, warmest quarter temperature; PA, precipitation per annum; Pmin, precipitation in the driest month; PWETQ, precipitation in the wettest quarter; C : N, carbon: nitrogen ratio; ∑B, sum of bases; principal components analysis first two axes on soil structure, PC1 relating to sand content, and PC2 clay–silt content; FE, distance to the nearest forest edge; FA, area of forest fragment (numbering of the spatial filters is inconsequential).

variableAGB, OLS modelAGB, SEVM modelBA, OLS modelBA, SEVM modelWMD_BA, OLS modelWMD_BA, SEVM modelstem density, OLS modelstem density, SEVM model
βpβpBpβpβpβpβpβp
constant766.54<0.001332.65<0.00164.12<0.00154.17<0.0010.42854<0.0010.44157<0.001634.47<0.001648.59<0.001
PA0.130.0050.16<0.0010.0060.002
Pmin0.000610.002
PWETQ−0.170.062−0.33<0.001−0.0070.0650.0910.006
TA79.160.0020.010070.008−10.840.047−8.750.09
Tmin0.01021<0.001
TWARMQ−90.83<0.001−1.54<0.001−0.9080.017
C : N ratio−7.040.08−0.005990.029
∑B−6.870.11
PC1 sand−0.004650.011
PC2 clay20.680.04314.200.1221.95<0.0011.320.0130.011360.0450.009430.0911.780.142
FE−0.150.07−0.200.016−2.520.06−2.220.085
FA−0.000110.079−0.000130.033
filter no. 1607.76<0.00114.620.021
filter no. 2483.37<0.00113.170.0580.23125<0.001
filter no. 3−406.32<0.001
filter no. 4−260.810.043−21.53<0.001
filter no. 6−0.177820.003
filter no. 70.167510.005−197.360.024
filter no. 100.167510.005
filter no. 12185.260.033