Table 2.

Model coefficients for the best-fit models for tick abundance in Illinois by region, species, and lifestage using generalized linear models

Species	Life-stage	Region	Intercept		Tmax		DP		VPmax		VPmin		Precip
			Count	Zeros	Count	Zeros	Count	Zeros	Count	Zeros	Count	Zeros	Count	Zeros
Dermacentor variabilis	Adulta	Central	−0.01	208.31	0.09	−6.96					−0.87	−11.19
		South	27.96	41.57	−1.49	−7.14			1.12	9.42	−4.23	−23.87
	Nymphb	Central		−23.94		0.68
		South		−6.47										0.02
Amblyomma americanum	Adulta	Central	−1.89	303.31	0.07	−10.47
		South	2.96	441.83	−0.08	−12.87							0.01	−0.62
	Nympha	Central	−19.65	2.02	1.59	2.04			−1.32	−3.26
		South	−6.89	75.29	0.65	−8.29			−0.51	7.42
Ixodes scapularis	Adultc	Central	60.72	16.92	0.41	−0.53							−0.90	−0.03
		South	5.74	43.30			33.41	−5.78	−24.59	1.95	57.05	6.86
	Nymphc	Central	0.03	163.43									0.00	−1.77
		South	1.36	−1.65									−0.01	0.01

Monthly climate variables were T_max (average daily maximum temperature), DP (average daily dew point), VP_max (average daily maximum vapor pressure deficit), VP_min (average daily minimum vapor pressure deficit), and Precip (total precipitation).

^a Zero-inflated negative binomial models.

^b Logistic regression models.

^c Zero-inflated Poisson models.