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Table 3 Statistics of the mixed-effects linear models

From: Variation of cork porosity along the stem in harvested cork oak (Quercus suber L.) trees

Model

Model equation

α0

α1

α2

σTreejj)

σTreej(μ'j)

σβTreej

σβ'Treej

σεij

AIC

BIC

LogLik

M0

CPij = α0 + α1 hHij + μTreej + εij

12.99

−1.44**

 

3.06

   

3.05

904.8

917.1

−448.4

M1

CPij = α0 + α1 hHij + μTreej + βTreej · hHij + εij

12.98

−1.42**

 

3.36

 

0.29

 

3.04

908.2

926.7

−448.1

M2

CPij = α0 + α1 hHij + α2 Amaxij + μTreej + εij

9.01

−0.62*

0.09**

2.30

   

2.74

857.9

873.3

−423.9

M3

CPij = α0 + α1 hHij + μ’Treej + εij

12.98

−1.42**

  

3.03

  

3.04

904.6

917.0

−448.3

M4

CPij = α0 + α1 hHij + μ’Treej + β’Treej · hHij + εij

12.97

−1.40**

  

3.32

 

0.29

3.02

908.0

926.5

−448.0

M5

CPij = α0 + α1 hHij + α2 Dhij + μ’Treej + εij

13.60

−1.50**

−0.01*

 

3.03

  

3.04

906.5

921.9

−448.2

  1. **Significant at the 1% level
  2. *Significant at the 5% level
  3. The response variable was the porosity coefficient (CP). Models M0, M1 and M2 considered the random effects of tree size (i.e. stem diameter at breast height, Dbh). In M2, the fixed part of the model included the height in the stem and the size of lenticular channels (i.e. Amax). Models M3, M4 and M5 considered the random effects of trees’ intrinsic porosity (i.e. the porosity coefficient at breast height, CPbh). In M5, the fixed part of the model included the height in the stem and the stem diameter over cork, Dh