Table 2.

Most competitive models describing Leucocytozoon prevalence as assessed using tissue samples collected from northern pintails in 2011–2012 from Alaska, California, and Japan where psi (Ψ) is the estimate of prevalence and rho (ρ) is the estimate of detection probability from occupancy models.

Predicting Leucocytozoon infection							Parameters for top Leucocytozoon model
Model	QAICc	ΔQAICc	QAICc weights	Model likelihood	No. of parameters	Deviance		Estimate	s.e.	Lower c.i.	Upper c.i.
{Ψ Region + Age, ρ Alaska vs Others}	748.293	0.000	0.419	1.000	6	45.242	ρ Alaska	0.948	0.012	0.920	0.967
{Ψ Region, ρ Alaska vs Others}	748.418	0.125	0.394	0.940	5	47.395	ρ California + Japan	0.820	0.041	0.727	0.886
{Ψ Region + Sex, ρ Alaska vs Others}	750.393	2.100	0.147	0.350	6	47.342	Ψ Alaska adult	0.747	0.040	0.662	0.816
{Ψ Sub-region + Age, ρ Alaska vs Others}	753.616	5.324	0.029	0.070	9	44.455	Ψ Alaska juvenile	0.673	0.034	0.604	0.736
{Ψ Sub-region + Sex, ρ Alaska vs Others}	755.851	7.559	0.010	0.023	9	46.690	Ψ California adult	0.261	0.061	0.160	0.395
{Ψ Sub-region, ρ Alaska vs Others}	759.989	11.696	0.001	0.003	11	46.730	Ψ California juvenile	0.198	0.049	0.119	0.310
{Ψ Sub-region * Age, ρ Alaska vs Others}	760.405	12.112	0.001	0.002	13	43.029	Ψ Japan adult	0.879	0.052	0.737	0.950
{Ψ Sub-region * Sex, ρ Alaska vs Others}	764.483	16.190	0.000	0.000	14	45.042
{Ψ Sub-region * Age * Sex, ρ Alaska vs Others}	779.647	31.354	0.000	0.000	24	39.286	Variance inflation = 2.102
{Ψ Sub-region * Age * Sex, ρ Region}	781.732	33.439	0.000	0.000	25	39.252
{Ψ Sub-region * Age * Sex, ρ Sub-region}	784.460	36.168	0.000	0.000	28	35.593
{Ψ Sub-region * Age * Sex, ρ}	791.674	43.381	0.000	0.000	23	53.428
{Ψ Sub-region * Age * Sex, ρ Sub-region * Sex}	794.998	46.705	0.000	0.000	34	33.220
{Ψ Sub-region * Age * Sex, ρ Sub-region * Age * Sex}	804.649	56.356	0.000	0.000	44	20.941
{Ψ Sub-region * Age * Sex, ρ Sub-region * Age * Sex * Run}	833.859	85.566	0.000	0.000	66	0.000