Table 4.
Modela | k | AICc | ΔAICc | w |
---|---|---|---|---|
Presence-absence | ||||
Location + Host + Clinical signs | 12 | 285.5 | 0 | 0.73 |
Host + Clinical signs | 11 | 287.66 | 2.16 | 0.25 |
Location + Clinical signs | 8 | 292.68 | 7.18 | 0.02 |
Clinical signs | 5 | 300.82 | 15.32 | 0 |
Location + Host | 10 | 306.28 | 20.78 | 0 |
Host | 7 | 309.3 | 23.8 | 0 |
Location | 6 | 314.84 | 29.33 | 0 |
Intercept | 3 | 333.89 | 48.40 | 0 |
Abundance | ||||
Location + Host + Clinical signs | 12 | 647.05 | 0 | 0.98 |
Host + Clinical signs | 9 | 655.27 | 8.22 | 0.02 |
Location + Clinical signs | 8 | 661.88 | 14.84 | 0 |
Clinical signs | 5 | 680.07 | 33.02 | 0 |
Location + Host | 10 | 706.29 | 59.24 | 0 |
Host | 7 | 714.92 | 67.87 | 0 |
Location | 6 | 737.93 | 90.88 | 0 |
Intercept | 3 | 756.46 | 109.41 | 0 |
Models are ranked based on corrected Akaike’s Information Criteria (AICc) and relative fits are shown with Akaike weights (w) which sum to 1. K is number of parameters. Random intercepts for all presence-absence models were by year and site, and for all abundance models were by site. Temperature parameters did not improve model fit (Table S2) so model results are shown from the full dataset without temperature. See Table 2 for model descriptions.