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. 2019 Mar 18;9:4779. doi: 10.1038/s41598-019-41323-w

Table 1.

A comparison of the ten generalised linear models analysing (a) the predicted probability of BFDV infection in 45-day old Mauritius parakeet nestlings over seven breeding seasons (2009/10 to 2015/16), and (b) individual BFDV load in 45-day old Mauritius parakeet nestlings over the three experimental breeding seasons (2013/14 to 2015/16).

Rank Model K AICc ΔAICc AICc weights
(a)
1 T + SF + NN 6 764.25 0.00 0.66
2 T + SF + NN + T*SF 7 766.18 1.94 0.25
3 T + NN 5 769.43 5.19 0.05
4 T + SF 5 771.14 6.89 0.02
5 SF + NN 5 771.95 7.70 0.01
6 SF + T + T*SF 6 773.16 8.91 0.01
7 NN 4 775.27 11.03 0.00
8 SF 4 778.97 14.73 0.00
9 T 4 779.83 15.58 0.00
10 Null model 3 785.42 21.17 0.00
(b)
1 Null model 4 −1817.35 0.00 0.98
2 SF 5 −1808.64 8.72 0.01
3 T 5 −1806.27 11.08 0.00
4 NN 5 −1806.07 11.28 0.00
5 T + SF 6 −1797.50 19.86 0.00
6 SF + NN 6 −1796.81 20.54 0.00
7 T + NN 6 −1794.96 22.40 0.00
8 SF + T + T*SF 7 −1786.76 30.59 0.00
9 T + SF + NN 7 −1785.65 31.70 0.00
10 T + SF + NN + T*SF 8 −1774.94 42.42 0.00

Management factors related to BFDV prevalence include treatment (T), distance to the nearest supplementary feeding station (SF) and distance to nearest neighbouring nest site (NN) 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.