Table 1.

Summary of the Poisson regression models for inter-annual tick density of the complete time series (model I) and the mean seasonal cycle (model II)

	Model I				Model II
	Estimate	SD	t	p	Estimate	SD	t	p
Intercept	5.3937	2.3657	2.280	< 0.05	25.9312	7.4417	3.485	< 0.05
T(0, 0)	− 0.1432	0.0439	− 3.259	< 0.01	− 0.2167	0.0859	− 2.523	< 0.05
T(6, 4)	− 0.2173	0.0398	− 5.453	< 0.001
rH(1, 0)	− 0.0686	0.0235	− 2.915	< 0.01	− 0.3110	0.0846	− 3.676	< 0.05
Hare	0.0076	0.0017	4.325	< 0.001
Factor(season) II	2.6083	1.1723	2.225	< 0.05	3.0718	1.4277	2.152	< 0.1
Factor(season) III	2.5290	1.2095	2.091	< 0.05	3.3341	1.4626	2.280	< 0.1
Factor(season) VI	3.5022	1.1741	2.983	< 0.01	3.7859	1.4449	2.620	< 0.05

For each explanatory variable, the parameter estimate, the standard error SE, the t value (test statistics), and the p value (significance) are given. Note that factor(season) I is not listed, as it is defined as default. Parameters T(6, 4) and Hare determining the year-to-year variation of the tick density are not needed in model II (mean seasonal cycle)