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. 2016 Jun 16;11(6):e0156827. doi: 10.1371/journal.pone.0156827

Table 6. Model description of root biomass (RB) estimates.

No Model Adjusted R2 RSE AIC S% CF
1 ln(RB) = a + bln(DBH) 0.790 0.391 -75.16 30.7 1.079
2 (-) ln(RB) = a + bln(DBH) + e(ln(DBH))2 0.785 0.396 -75.16. 30.8 1.081
3 (-) ln(RB) = a + bln(DBH) + dln(H) 0.789 0.392 -73.93 30.7 1.079
4 (-) ln(RB) = a + bln(DBH) + cln(WD) + dln(H) 0.856 0.324 -88.26 22.2 1.053
5 (-) ln(RB) = a + bln(DBH) + e(ln(DBH))2 + f(ln(DBH))3 + cln(WD) 0.854 0.326 -87.73 22.5 1.054
6 ln(RB) = a + bln(DBH2HWD) 0.854 0.326 -85.48 23.3 1.054
7 ln(RB) = a + bln(DBH) + cln(WD) 0.857 0.323 -89.52 22.8 1.053
8 ln(RB) = a + bln(DBH2H) + cln(WD) 0.854 0.326 -86.61 22.3 1.054
9 ln(RB) = a + bln(AGB) 0.860 0.322 -90.6 25.5 1.053

DBH, H, WD and AGB are predictors of the models and indicate stem diameter at breast height, tree height, wood density and above ground biomass, respectively. The results are significant at a 95% confidence interval. RSE: residual standard errors of estimate, AIC: Akaike Information Criterion, S%: average standard error of the estimate, CF: correction factor, (-) indicates the model has a predictor that was not significantly different from 0.