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Table 4 Model parameters derived from regression analysis and statistical parameters

From: Above-ground woody biomass allocation and within tree carbon and nutrient distribution of wild cherry (Prunus avium L.) – a case study

Output Model Independent variable Number of observations Parameter estimates Fit statistics Correction factor (CF)
a 0 exp(a 0) b 0 p r 2 adj Se NRMSE
Whole tree biomass 1 d 1.3m a 39 −2.216 0.109 2.450 <0.001 0.991 0.138 0.025 1.010
Stem biomass 2 d 1.3m a 39 −2.228 0.108 2.290 <0.001 0.988 0.146 0.027 1.011
Branch biomass 3 d 1.3m a 39 −4.625 0.010 2.965 <0.001 0.969 0.316 0.098 1.051
Individual branch biomass 4 bd origin 370 −3.540 0.029 2.868 <0.001 0.959 0.470 0.047 1.117
Total bark biomass 5 d 1.3m a 20 −3.244 0.039 2.258 <0.001 0.991 0.137 0.015 1.009
Stem bark biomass 6 d 1.3m a 20 −3.165 0.042 1.900 <0.001 0.992 0.105 0.037 1.006
Branch bark biomass 7 d 1.3m a 20 −5.321 0.005 2.848 <0.001 0.958 0.377 0.024 1.080
Individual branch bark biomass 8 bd origin 69 −4.560 0.010 2.669 <0.001 0.975 0.304 0.102 1.047
Bark percentage by sectional diameter 9 d overbark 85 3.928 50.805 −0.522 <0.001 0.807 0.233 0.003 1.028
Bark thickness by diameter class 10b d overbark 174 0.033 0.161 <0.001 0.797 0.084 0.672
  1. aLength was excluded as a predictor variable as the VIF value was greater than 10 (10.737) indicating a high degree of multicollinearity
  2. bStandard linear model (see Eq. 4)