TABLE 1.

Univariate regression models to predict seasonal synchronya

ModelParameterParameter estimatePr > |t|Pr > FAIC value
LatitudeIntercept−32.210.002<0.001179
Slope0.96<0.001
Monthly mean TmaxIntercept22.36<0.001<0.001179.4
Slope−0.92<0.001
Tmax annual cycle amplitudeIntercept−15.78<0.001<0.001168.23
Slope1.7<0.001
Tmax annual cycle phaseIntercept248.47<0.001<0.001178.67
Slope−1.11<0.001
Tmax biannual cycle amplitudeIntercept3.140.043<0.001176.37
Slope6.31<0.001
Tmax biannual cycle phaseIntercept11.680.5740.9193.77
Slope−0.010.903
Monthly mean TminIntercept11.79<0.001<0.001178.44
Slope−0.87<0.001
Tmin annual cycle magnitudeIntercept−12.060.011<0.001174.43
Slope1.59<0.001
Tmin annual cycle phaseIntercept207.07<0.001<0.001183.66
Slope−0.90.001
Tmin biannual cycle amplitudeIntercept5.72<0.001<0.001182.13
Slope4.770.001
Tmin biannual cycle phaseIntercept22.76<0.001<0.001186.82
Slope−0.06<0.001
Monthly mean VPDIntercept22.19<0.0010.005187.78
Slope−0.020.005
VPD annual cycle magnitudeIntercept−9.520.080.002187.49
Slope0.040.002
VPD annual cycle phaseIntercept219.120.0010.002185.17
Slope−0.980.002
VPD biannual cycle amplitudeIntercept3.080.3040.04188.3
Slope0.130.04
VPD biannual cycle phaseIntercept14.220.0050.29192.2
Slope−0.060.29
  • a Results 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; Tmax, maximum daily temperature; Tmin, minimum daily temperature; VPD, vapor pressure deficit.