Table 2.

Selected multiple regression models for nymph (R² = 0.642, F = 26.151, df = 101, P < 0.0001) and adult (R²=0.622, F=29.036, df=159, P < 0.0001) densities. Statistics presented include the standard error term (SE), sum of square (SS), the F-statistic, and the probability value (P).

Regression models for density estimates	Estimate	SE	SS	F	P
Parameters of nymph model
Intercept	−328.2980	112.5677			<0.0044
Year	0.3198	0.0575	19.1783	30.8890	<0.0001
Week	−0.1573	0.0197	39.6316	63.8317	<0.0001
Latitude	−4.2799	0.6687	25.4376	40.9704	<0.0001
Longitude	1.5254	0.3261	13.5799	21.8722	<0.0001
Forest	−2.0926	0.4678	12.4262	20.0139	<0.0001
Min. winter temp	−0.0488	0.0189	12.0414	19.3941	<0.0001
Summer prec	−0.0832	0.0104	13.5668	21.8510	<0.0001
Parameters of adult model
Intercept	−97.8929	136.7179			0.4750
Year	0.1993	0.0628	11.3173	10.0868	0.0018
Week	0.1183	0.0101	154.7724	137.9450	<0.0001
Latitude	−3.9760	0.9998	15.8149	15.8149	0.0001
Longitude	1.7186	0.4485	14.6829	14.6829	0.0002
Forest	−1.8023	0.5519	10.6665	10.6665	0.0013
Urban	0.8306	0.4016	4.2773	4.27730	0.0402
Forest × urban	−8.2613	1.8078	20.8835	20.8835	<0.0001
Min winter temp	−0.0588	0.0216	7.4265	7.42650	0.0071
Winter prec	−0.0374	0.0111	11.3635	11.3635	0.0009

Notes: Abbreviations are: prec, precipitation; min, minimum; temp, temperature. Interaction is marked with × between variables.