Table 2.
Factor | Estimate | SE | z | P |
---|---|---|---|---|
Intercept | − 4.143 | 0.724 | − 5.724 | < 0.001 |
Hamburg 2011 vs Hanover 2010 | 0.787 | 0.742 | 1.060 | 0.890 |
Hanover 2015 vs Hamburg 2011 | − 0.846 | 1.203 | − 0.703 | 0.980 |
Hanover 2017 vs Hamburg 2011 | − 1.206 | 0.783 | − 1.540 | 0.622 |
Hanover 2018 vs Hamburg 2011 | 0.490 | 0.681 | 0.719 | 0.978 |
Hanover 2015 vs Hanover 2010 | − 0.059 | 1.286 | − 0.046 | 1.000 |
Hanover 2017 vs Hanover 2010 | − 0.419 | 0.909 | − 0.461 | 0.997 |
Hanover 2018 vs Hanover 2010 | 1.277 | 0.811 | 1.574 | 0.599 |
Hanover 2017 vs Hanover 2015 | − 0.360 | 1.313 | − 0.274 | 1.000 |
Hanover 2018 vs Hanover 2015 | 1.336 | 1.246 | 1.072 | 0.886 |
Hanover 2018 vs Hanover 2017 | 1.696 | 0.854 | 1.986 | 0.334 |
Mellendorf 2018 vs Hanover 2010 | − 0.191 | 0.756 | − 0.253 | 1.000 |
Mellendorf 2018 vs Hanover 2015 | − 0.132 | 1.211 | − 0.109 | 1.000 |
Mellendorf 2018 vs Hanover 2017 | 0.228 | 0.796 | 0.286 | 1.000 |
Mellendorf 2018 vs Hanover 2018 | − 1.468 | 0.699 | − 2.102 | 0.272 |
Mellendorf 2018 vs Hamburg 2011 | − 0.979 | 0.559 | − 1.750 | 0.481 |
Coinfection present in the nest | 1.528 | 0.574 | 2.662 | 0.008 |
Notes: The full model was significantly different from a null model containing only the random factor “nest ID” (χ2 = 14.0, df = 6, P = 0.029). Multiple comparisons between levels of the factor “location/year” were performed using Tukeyʼs contrasts with single-step P-value adjustment. Significant P-values (P < 0.05) are shown in bold
Abbreviation: SE, standard error