Table 2.
Model rank | Fledgling sampling unit | Age class | d.f. | logLik | AICc | Δ AICc | AICc ω | R2 |
---|---|---|---|---|---|---|---|---|
a. Dataset with fledgling samples only; weighted UniFrac | ||||||||
1 | + | 9 | –69.994 | 180.2 | 0.00 | 1.000 | 0.14 | |
2 | 1 | –124.672 | 257.3 | 77.11 | <0.001 | 0.00 | ||
b. Dataset with fledgling samples only; unweighted UniFrac | ||||||||
1 | + | 9 | –349.406 | 739.1 | 0.00 | 1.000 | 0.19 | |
2 | 1 | –426.972 | 861.9 | 138.89 | <0.001 | 0.00 | ||
c. Dataset with fledgling and adult samples from 2015 only; weighted UniFrac | ||||||||
1 | + | 2 | 117.497 | –222.9 | 0.00 | 1.000 | 0.26 | |
2 | 1 | 93.184 | –178.3 | 46.58 | <0.001 | 0.00 | ||
d. Dataset with fledgling and adult samples from 2015 only; unweighted UniFrac | ||||||||
1 | + | 2 | 58.705 | –105.3 | 0.00 | 1.000 | 0.24 | |
2 | 1 | 35.970 | –67.9 | 43.42 | <0.001 | 0.00 |
The parameters included in the model are indicated by “+” and degrees of freedom (d.f.), log likelihood (logLik), Akaike Information Criterion for small sample sizes (AICc), delta AICc (Δ AICc), AIC weight (AICc ω), and R2 are shown. Models are ranked according to model support (from the smallest AICc to the largest).