Table 1. Results of multilevel Poisson regression with nest ID as a random factor.

Variable	Incidence rate ratio (95% C.I.)	chi2	z	p
nest base		5.56		0.06
power pole vs platform	0.69 (0.51–0.94)		−2.35	0.019
wild vs. platform	0.98 (0.75–1.29)		−0.15	0.88
power pole vs. wild	0.708 (0.484–1.036)		1.78	0.075
distance (km)	0.920 (0.88–0.96)		−3.60	<0.001
preci April (mm)	0.997 (0.995–0.999)		−3.46	<0.001
preci May (mm)	0.996 (0.994–0.997)		−5.42	<0.0001
preci June (mm)	0.997 (0.995–0.999)		−3.19	<0.001

Rate ratios (95% confidence intervals) are shown with chi² or z test statistics and p values. An observation–level random effect was included to model possible overdispersion. Variance of i) random effects “nest ID”: 0.076 (95% C.I.: 0.035–0.17), p<0.05 and ii) observation-level random effect: 0 (exact 1.86e-23), n.s. The overall model explained 28.7% of the variance of which the random factor nest ID explained 13.2% and the fixed effects nest base, distance and precipitation in April, May and June 15.5%.