TABLE 1.

Univariate regression models to predict seasonal synchrony^a

Model	Parameter	Parameter estimate	Pr > |t|	Pr > F	AIC value
Latitude	Intercept	−32.21	0.002	<0.001	179
	Slope	0.96	<0.001
Monthly mean Tmax	Intercept	22.36	<0.001	<0.001	179.4
	Slope	−0.92	<0.001
Tmaxannual cycle amplitude	Intercept	−15.78	<0.001	<0.001	168.23
	Slope	1.7	<0.001
Tmax annual cycle phase	Intercept	248.47	<0.001	<0.001	178.67
	Slope	−1.11	<0.001
Tmax biannual cycle amplitude	Intercept	3.14	0.043	<0.001	176.37
	Slope	6.31	<0.001
Tmax biannual cycle phase	Intercept	11.68	0.574	0.9	193.77
	Slope	−0.01	0.903
Monthly mean Tmin	Intercept	11.79	<0.001	<0.001	178.44
	Slope	−0.87	<0.001
Tmin annual cycle magnitude	Intercept	−12.06	0.011	<0.001	174.43
	Slope	1.59	<0.001
Tmin annual cycle phase	Intercept	207.07	<0.001	<0.001	183.66
	Slope	−0.9	0.001
Tmin biannual cycle amplitude	Intercept	5.72	<0.001	<0.001	182.13
	Slope	4.77	0.001
Tmin biannual cycle phase	Intercept	22.76	<0.001	<0.001	186.82
	Slope	−0.06	<0.001
Monthly mean VPD	Intercept	22.19	<0.001	0.005	187.78
	Slope	−0.02	0.005
VPD annual cycle magnitude	Intercept	−9.52	0.08	0.002	187.49
	Slope	0.04	0.002
VPD annual cycle phase	Intercept	219.12	0.001	0.002	185.17
	Slope	−0.98	0.002
VPD biannual cycle amplitude	Intercept	3.08	0.304	0.04	188.3
	Slope	0.13	0.04
VPD biannual cycle phase	Intercept	14.22	0.005	0.29	192.2
	Slope	−0.06	0.29

^aResults for the model with the lowest AIC are shown in boldface. Pr > F, P value associated with the F score for the model; Pr > |t|, 2-tailed P value for testing the null hypothesis that the parameter estimate is 0; T_max, maximum daily temperature; T_min, minimum daily temperature; VPD, vapor pressure deficit.