Your privacy, your choice

We use essential cookies to make sure the site can function. We also use optional cookies for advertising, personalisation of content, usage analysis, and social media.

By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some third parties are outside of the European Economic Area, with varying standards of data protection.

See our privacy policy for more information on the use of your personal data.

for further information and to change your choices.

Skip to main content

Table 4 Attributes of the different models of bark thickness at breast height (BTBH). Model following Eq. 8 is shown when altitude effect is significant. The statistical significance is indicated by: NS: p ≥ 0.1; *:p < 0.05; **: p < 0.01; ***: p < 0.001. R2 is the coefficient of determination. RMSErel is the relative Root Mean Square Error. AIC is the Akaike Information Criterion. PME is the propagation of measurement error for Norway spruce only. The models in bold correspond to the model finally retained in this study. It must be remembered that the different parameters a to d are model-dependent. Standard errors are given in Appendix Table 9

From: Modelling bark volume for six commercially important tree species in France: assessment of models and application at regional scale

Species

Model

a

b

c

d

R2

RMSErel (%)

AIC

PME

silver fir

Eq. 4

-2.691 ***

-0.4013 ***

1.057 ****

/

0.71

30.3

-228055

/

 

Eq. 5

0.04036 ***

-0.1022 ***

0.4081 ***

-0.0003595 ***

0.72

30

-228593

/

 

Eq. 6

0.000844 ***

0.02087 ***

0.01906 ***

-0.02074 ***

0.72

30.3

-228170

/

 

Eq. 7

0.02473 ***

0.9021 ***

/

/

0.71

30.4

-227940

/

 

Eq. 8

/

0.892 ***

5.838 10− 06***

0.0199 ***

0.73

29.5

-229444

/

Norway spruce

Eq. 4

-3.227 ***

0.2666 ***

0.7861 ***

/

0.69

32.3

-391076

4.49

 

Eq. 5

0.02452 ***

0.08554 ***

-0.04756 NS

− 8.34 10− 05 NS

0.71

31.5

-393323

5.12

 

Eq. 6

0.00187 ***

0.01356 ***

0.03483 ***

-0.03145 ***

0.7

32.2

-391443

5.67

 

Eq. 7

0.02408 ***

0.8723 ***

/

/

0.69

32.4

-391007

0.84

 

Eq. 8

/

0.8178 ***

5.218 10− 06***

0.01859 ***

0.72

30.7

-395525

0.19

Douglas fir

Eq. 4

-2.996 ***

0.8389 ***

0.8468 ***

/

0.76

32

-152100

/

 

Eq. 5

0.01911 ***

0.1259 ***

-0.1548 NS

0.0005875 ***

0.76

32.3

-151799

/

 

Eq. 6

0.001364 ***

0.02312 ***

0.03851 ***

-0.009671 *

0.76

32

-152133

/

 

Eq. 7

0.04552 ***

1.1180 ***

/

/

0.77

30.5

-153769

/

sessile oak

Eq. 4

-2.878 ***

-0.0314 NS

0.6863 ***

/

0.66

27.9

-401069

/

 

Eq. 5

0.01264 ***

0.4552 ***

-0.9218 ***

/

0.68

27.5

-402398

/

 

Eq. 6

0.002125 ***

0.03915 ***

-0.02089***

0.006342 ***

0.66

27.9

-401006

/

 

Eq. 7

0.02748 ***

0.6759 ***

/

/

0.67

27.9

-401172

/

pedunculate oak

Eq. 4

-2.777 ***

-0.1084 ***

0.7357 ***

/

0.68

27

-351586

/

 

Eq. 5

0.02695 ***

0.2846 ***

-0.5018 ***

-0.0002738 ***

0.69

27

-351588

/

 

Eq. 6

0.00166 ***

0.04279 ***

-0.02609***

0.009523 ***

0.68

27

-351552

/

 

Eq. 7

0.02858 ***

0.6958 ***

/

/

0.68

26.8

-351992

/

European beech

Eq. 4

-3.775 ***

0.00143 NS

0.8498 ***

/

0.64

38.7

-431527

/

 

Eq. 5

0.01327 ***

0.05339 ***

-0.1006 **

-0.0001094 ***

0.66

37.6

-434014

/

 

Eq. 6

0.0004547***

0.01204 ***

0.0008586 NS

-0.002298 ***

0.64

38.7

-431563

/

 

Eq. 7

0.01149 ***

0.8516 ***

/

/

0.65

37.3

-434761

/

 

Eq. 8

/

0.8844 ***

3.134 10− 06***

0.01023 ***

0.68

36

-437788

/