Table 2.
A comparison of the ten generalised linear models analysing the probability of fledge success of Mauritius parakeet nestlings over the three experimental breeding seasons (2013/14 to 2015/16).
| Rank | Model | K | AICc | ΔAICc | AICc weights |
|---|---|---|---|---|---|
| 1 | SF + T + F + F2 + T*SF | 8 | 446.90 | 0.00 | 0.42 |
| 2 | SF + T + T*SF | 6 | 448.22 | 1.32 | 0.22 |
| 3 | F + F2 | 5 | 450.27 | 3.37 | 0.08 |
| 4 | SF + F + F2 | 6 | 450.28 | 3.38 | 0.08 |
| 5 | Null model | 3 | 451.28 | 4.38 | 0.05 |
| 6 | T + F + F2 | 6 | 451.46 | 4.56 | 0.04 |
| 7 | SF | 4 | 451.55 | 4.64 | 0.04 |
| 8 | SF + T + F + F2 | 7 | 451.90 | 5.00 | 0.03 |
| 9 | T | 4 | 452.48 | 5.57 | 0.03 |
| 10 | SF + T | 5 | 453.12 | 6.22 | 0.02 |
Factors related to fledge success include treatment (T), distance to the nearest supplementary feeding station (SF) and the linear (F) and quadratic terms (F2) of dam age based on Akaike’s information criterion corrected for finite sample size (AICc) and weights (AICc weights). All models were run with the nesting female and breeding season as random intercept effects. K denotes the number of parameters in each model and models are ranked according to their ΔAICc.