Table 2. Results of multiple regression analysis predicting dominant height at age 24 (H24) and basal area at age 24 (BA24) of Douglas-fir populations from site and population origin climate as independent variables in a Universal response function (URF).

For explanation of acronyms see Table 1. Partial R² refers to the change in the adjusted model R² when the respective variable is removed from the URF. The percent contribution of a particular explanatory variable is calculated as the percentage of its partial R² over the sum of partial R² of all explanatory variables.

		URF for H24 [m]						URF for BA24 [m2ha-1]
Independent variables	Parameter estimate	Confidence interval		p-value	Partial R2	Contribution to sum of partial R2[%]	Parameter estimate	Confidence interval		p-value	Partial R2	Contribution to sum of partial R2[%]
		5%	95%					5%	95%
Intercept	45.14						23.25
MATs	5.973	5.92	6.03	<0.001	0.078	28.05	10.86	10.48	11.24	<0.001	0.099	37.73
MATs 2	-0.457	-0.461	-0.453	<0.001	0.089	32.09	-0.60	-0.63	-0.58	<0.001	0.056	21.27
TDs	1.133	1.106	1.159	<0.001	0.013	4.86	-0.81	-0.93	-0.71	<0.001	0.007	2.55
SHMs	0.529	0.519	0.539	<0.001	0.021	7.65	0.39	0.33	0.46	<0.001	0.004	1.66
SHMs 2	-0.0053	-0.0054	-0.0052	<0.001	0.022	7.96	-0.005	-0.005	0.004	<0.001	0.008	3.09
MATp	1.494	1.459	1.527	<0.001	0.014	4.99	3.81	3.603	4.020	<0.001	0.040	15.47
MATp 2	-0.1318	-0.133	-0.1299	<0.001	0.035	12.77	-0.24	-0.25	-0.23	<0.001	0.047	18.08
MATs*MATp	0.0675	0.064	0.0702	<0.01	0.004	1.59	-0.02	-0.04	-0.01	<0.001	0.0003	0.11
		Model R2.adj						Model R2.adj
Full model		0.88						0.89