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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