Table A.7.
Model | K | QAICc | Δ | w | R2 |
---|---|---|---|---|---|
Random effect only (transect) | 2 | 93.8 | 0 | 0.29 | 0.10 |
Body condition | 3 | 94.3 | 0.45 | 0.23 | 0.13 |
Social environment | 3 | 95.3 | 1.51 | 0.13 | 0.11 |
Habitat use | 3 | 95.7 | 1.85 | 0.11 | 0.11 |
Condition and habitat use | 5 | 95.9 | 2.07 | 0.10 | 0.18 |
Number of unique sections | 3 | 96.0 | 2.15 | 0.10 | 0.11 |
Condition and social environment | 5 | 97.8 | 4.00 | 0.04 | 0.13 |
K is the number of parameters estimated. QAICc is a smaller-is-better measure of goodness of fit. Delta (Δ) is the difference between the ‘best’ model with the lowest QAICc and all other models. Akaike’s weight (w) is the relative probabilities of each model given the data. R2 is the conditional R2 that shows the variance explained by fixed and random effects.