Table 2. Slopes and effects' strength of the relationships between climate change indicators and temperature and landscape gradients.

		CTIcat		CTIeur		CAL
	Predictors	b	ηp 2	b	ηp 2	b	ηp 2
Agricultural gradientN = 1431	Intercept	13.044		11.886		53.491
	Temperature	0.179	0.50	0.086	0.15	-0.472	0.24
	Gradient	-0.003	0.41	-0.002	0.16	0.011	0.27
Wildfire gradientN = 551	Intercept	13.057		11.832		52.487
	Temperature	0.175	0.48	0.096	0.19	-0.421	0.22
	Gradient	-0.002	0.32	-0.003	0.42	0.013	0.41
Urban gradientN = 439	Intercept	13.682		11.826		52.574
	Temperature	0.148	0.27	0.085	0.11	-0.422	0.15
	Gradient	-0.004	0.43	-0.001	0.03	0.011	0.25

Regression coefficients corresponding to the multiple regression models shown in Table 1. Partial Eta squared values (η_p ²) are given as a measure of the strength of the effect of each model term.