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Table 2 Summary of the model selection procedure for taxonomic diversity index of plants

From: Diversity of plants and mammals as indicators of the effects of land management types in woodlands

 

int

x1

x2

x3

x4

df

log()

AIC

Δi

wi

R2

 

1.48

 

−0.08

0.09

 

4

9.75

−10.71

0.00

0.47

0.20

1.47

 

− 0.08

0.10

0.06

5

10.11

−9.03

1.68

0.20

0.21

1.48

0.01

−0.08

0.09

 

5

9.82

−8.44

2.26

0.15

0.20

1.47

0.01

−0.08

0.10

0.06

6

10.13

−6.55

4.16

0.06

0.21

 

1.48

  

0.07

 

3

6.04

−5.61

5.10

0.04

0.09

 

1.48

 

−0.06

  

3

5.39

−4.33

6.38

0.02

0.06

 

1.47

  

0.08

0.05

4

6.28

−3.78

6.93

0.01

0.09

 

1.48

0.00

 

0.07

 

4

6.04

−3.30

7.41

0.01

0.09

 

1.50

 

−0.06

 

−0.05

4

5.72

−2.65

8.06

0.01

0.08

SW

1.00

0.23

1.00

0.96

0.28

 

β

1.48

0.01

−0.08

0.09

0.06

SE

0.03

0.03

0.03

0.03

0.08

  1. Model averaging was carried out with a 95% confidence subset of models. For each model of the subset, we reported parameter estimates, total number of estimable parameters (k), the log-likelihood log(), AIC criterion, Δi = AICi – minAIC, Akaike weight (wi), and adjusted R2. Models are ordered in terms of Δi for AIC. At the bottom of the table, we reported model-averaged estimates β with their standard errors (SE) and their sum of weights (SW), for the four variables (quantitative variables: x1 - DW in tree, x2 - DW on ground, x3 - DW removed; categorical variable: x4 - land management type (protected area/grazed woodlands-intercept-))