Table 2.

Estimated coefficients of explanatory variables in the constructed models of Cx. tarsalis abundance. Single variable indicates the explanatory variables which are assessed individually. Final model represents the final fitted model with the lowest AICc value. Full model is model fitted with all created explanatory variables.

Variables	Single variable			Final model			Full model
	Coef.	95% CI		Coef.	95% CI		Coef.	95% CI
Intercept				−3.48 *	−4.05 to −2.91		−3.93 *	−4.6 to −3.25
Weather
Monthly mean temperature	0.25 *	0.22 to 0.26		0.22 *	0.2 to 0.25		0.22 *	0.19 to 0.25
1 month lagged temperature	0.08 *	0.07 to 0.1		0.07 *	0.05 to 0.09		0.06 *	0.04 to 0.09
Winter mean temperature	−0.04 *	−0.06 to −0.01					−0.03 *	−0.06 to −0.01
Monthly mean degree days	0.28 *	0.23 to 0.33					0.032	−0.04 to 0.1
Monthly total precipitation	−0.003 *	−0.004 to −0.001		0.0033 *	0.002 to 0.005		0.0032 *	0.002 to 0.005
1 month lagged precipitation	0.006 *	0.005 to 0.007		0.0042 *	0.003 to 0.005		0.0037 *	0.002 to 0.004
2 month lagged precipitation	0.005 *	0.004 to 0.006		0.0033 *	0.002 to 0.004		0.003 *	0.002 to 0.005
Land cover 1
Forest	−0.48 *	−0.91 to −0.04		−0.54 *	−0.9 to −0.17		−0.59 *	−0.95 to −0.22
Water	−0.11 *	−0.47 to −0.26					0.03	−0.28 to 0.34

Coef.: estimated variable coefficient; * P < 0.05; ¹ agriculture land was used as a reference group.