Skip to main content

Table 5 Summary of the model selection procedure for taxonomic diversity index of mammals

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

 

int

x1

x2

x3

x4

k

log()

AIC

Δi

wi

R2

 

15.98

0.39

0.58

1.60

 

5

113.07

237.35

0.00

0.30

0.50

15.98

 

0.51

1.60

 

4

 114.29

236.36

0.01

0.29

0.48

15.98

  

1.72

 

3

 116.15

238.76

1.42

0.15

0.44

16.17

 

0.51

1.54

0.25

5

114.21

239.62

2.28

0.09

0.48

15.98

0.29

 

 1.74

 

4

 115.50

239.79

2.45

0.09

0.45

15.99

0.39

0.58

1.59

0.02

6

113.07

239.86

2.51

0.08

0.50

SW

1.00

0. 47

0.77

1.00

0.18

 

β

15.99

0.37

−0.54

−1.62

0.14

SE

0.35

0.27

0.27

0.29

0.71

  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-))