Table 1. Mixed-effect candidate models for the effect of noise playback on mass-dependent FCM concentrations (natural log-transformed).
Modela,b | K c | ΔAICc d | wi e |
Treatmentf | 5 | 0 | 0.66 |
Treatment + Location | 6 | 2.4 | 0.20 |
Treatment + Location + Treatment:Location | 7 | 4.7 | 0.06 |
Null- random effects only | 4 | 5.5 | 0.04 |
Treatment + Season | 6 | 6.5 | 0.03 |
Treatment + Season + Treatment:Season | 7 | 10.0 | <0.01 |
Treatment + NoiseType + Treatment:NoiseType | 7 | 10.8 | <0.01 |
Treatment + Location + NoiseType + Treatment:Location + Treatment:NoiseType | 9 | 11.2 | <0.01 |
Treatment + NoiseType + Season + Treatment:Season + Treatment:NoiseType | 9 | 20.7 | <0.01 |
Treatment + MaxSize + Treatment:MaxSize | 7 | 25.3 | <0.01 |
Treatment + NoiseType + Season + Treatment:NoiseType + Treatment:Season + Treatment:NoiseType:Season | 11 | 27.3 | <0.01 |
Treatment + SpeakerDistance + Treatment:SpeakerDistance | 7 | 27.5 | <0.01 |
Treatment + NoiseType + MaxSize + Treatment:NoiseType + Treatment:MaxSize | 10 | 35.4 | <0.01 |
Treatment + NoiseType + SpeakerDistance + Treatment:NoiseType + Treatment:SpeakerDistance | 9 | 38.2 | <0.01 |
Treatment + NoiseType + MaxSize + Treatment:NoiseType + Treatment:MaxSize + Treatment:NoiseType:MaxSize | 12 | 45.1 | <0.01 |
Treatment + NoiseType + SpeakerDistance + Treatment:NoiseType + Treatment:SpeakerDistance + Treatment:NoiseType:SpeakerDistance | 11 | 60.4 | <0.01 |
Abbreviations of predictor variables in methods.
All models contain lek pairing and year as a random effect.
Number of parameters in the model.
Difference in AICc (Akaike's Information criteria for small sample size) values from the top ranking model.
Akaike weight (Probability that the model is the best fit model giving the data and model candidate set).
Model with substantial support (ΔAICc <2).