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Table 2 Summary of the estimated parameters, resulting AIC and relative variance of the response logAGR explained by the fixed effects, random intercepts and residuals (unexplained) for the three tested models

From: Developing a framework for growth modelling in a managed southern black beech forest

Model

 

M1

M2

M3

 

Est.

95%CI

p value

Est.

95%CI

p value

Est.

95%CI

p value

λ 1

0.20

(0.13; 0.30)

<0.001

0.37

(0.20; 0.71)

0.003

−0.66

(−1.07; −0.26)

0.002

α

0.45

(0.31; 0.60)

<0.001

0.45

(0.30; 0.60)

<0.001

   

λ 2

      

2.25

(0.25; 4.25)

0.028

λ 3

      

−0.42

(−3.28; 2.45)

0.775

λ 4

   

0.05

(−0.02; 0.12)

0.139

−0.02

(−0.04; −0.01)

0.010

β

−1.84

(−2.34; −1.33)

<0.001

−1.23

(−1.71; −0.75)

<0.001

−1.20

(−1.83; −0.57)

0.007

AIC

 

630.80

  

626.71

  

627.76

 

Var. fixed

45%

  

51%

  

51%

 

Var. intercept

9%

  

3%

  

4%

 

Var. residuals

46%

  

46%

  

45%

 
  1. Significant p values (p value < 0.05) are shown in italic