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

Forest Ecosystems

Table 4 Model parameters derived from regression analysis and statistical parameters

Output	Model	Independent variable	Number of observations	Parameter estimates				Fit statistics			Correction factor (CF)
Output	Model	Independent variable	Number of observations	a ₀	exp(a ₀)	b ₀	p	r ² _adj	Se	NRMSE	Correction factor (CF)
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	10^b	d _overbark	174	–	0.033	0.161	<0.001	0.797	0.084	0.672	–

^aLength was excluded as a predictor variable as the VIF value was greater than 10 (10.737) indicating a high degree of multicollinearity
^bStandard linear model (see Eq. 4)