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Table 2 General linear models assessing variation in song thrush song characteristics that differed significantly between studied habitats

From: Habitat-related differences in song structure and complexity in a songbird with a large repertoire

Model

AICC

ΔAICC

w i

ER

Whistle minimum frequency

 HABITAT

740.66

0.00

0.39

 

 HABITAT + MALES

742.05

1.40

0.19

2.01

 HABITAT + HOUR

742.10

1.44

0.19

2.05

Whistle peak frequency

 HABITAT

776.56

0.00

0.34

 

 HABITAT + HOUR

777.53

0.97

0.21

1.62

 HABITAT + DAY

777.79

1.23

0.18

1.85

 HABITAT + DAY + HOUR

778.32

1.76

0.14

2.41

 HABITAT + NOISE

778.40

1.84

0.13

2.51

Syllable repertoire

 NOISE + DAY

684.54

0.00

0.32

 

 NOISE

685.04

0.50

0.25

1.28

 NOISE + DAY + HOUR

685.72

1.18

0.18

1.80

 NOISE + DAY + MALES

686.24

1.70

0.14

2.34

 NOISE + MALES

686.43

1.89

0.12

2.58

Whistle repertoire

 NOISE

567.04

0.00

0.30

 

 NOISE + MALES

567.17

0.13

0.29

1.07

 NOISE + HOUR

568.48

1.43

0.15

2.05

 NOISE + DAY + HOUR

568.74

1.69

0.13

2.33

 NOISE + DAY

568.76

1.72

0.13

2.36

Twitter repertoire

 NOISE + DAY

664.54

0.00

0.41

 

 NOISE + DAY + HOUR

666.03

1.49

0.19

2.11

Twitter fraction

 NOISE + DAY

736.76

0.00

0.27

 

 NOISE

737.13

0.37

0.22

1.20

 HABITAT + DAY

737.42

0.66

0.19

1.39

 DAY

737.58

0.83

0.18

1.51

 HABITAT

738.10

1.34

0.14

1.96

Linearity index

 NOISE

− 85.43

0.00

0.36

 

 NOISE + DAY

− 84.26

1.17

0.20

1.80

 NOISE + HOUR

− 83.78

1.65

0.16

2.28

 NOISE + MALES

− 83.73

1.70

0.15

2.34

  1. Models with the highest probability (ΔAICC < 2) are shown. The Akaike weight (wi) and evidence ratio (ER) were calculated on the basis of Akaike’s Information Criterion corrected for small sample size (see “Methods” for details). Predictor codes: DAY, day of season; HOUR, hour after sunrise; NOISE, background noise level; HABITAT, habitat type; MALES, other singing males in hearing range during recording