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. 2009 Feb 27;75(8):2476–2483. doi: 10.1128/AEM.02633-08

TABLE 1.

Univariate regression models to predict seasonal synchronya

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
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.