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. 2015 Jul 9;112(30):E4065–E4074. doi: 10.1073/pnas.1421946112

Table S5.

Stepwise multiple regressions between the three phenology groups and local oceanic conditions

Phenology group Regression equation df AIC F
Species with earlier phenology
 Full dataset Y = 0.0436 + 0.9120XSST + 0.2355XZoo − 0.3823XAR1 86 75.2 26.6***
 Bias-corrected dataset Y = -0.0250 + 1.2574XSST + 0.3690XZoo 87 116.6 10.2***
Species with no long-term, linear trend in phenology
 Full dataset Y = 0.0121 105 N/A N/A
 Bias-corrected dataset Y = -0.0093 − 0.2898XAR1 104 152.7 9.3**
Species with later phenology
 Full dataset Y = 0.0518 − 0.4556XSST + 1.3534XUpw 40 33.8 7.5**
 Bias-corrected dataset Y = 0.0268 − 1.2713XSST + 1.8838XUpw 40 44.3 11.0***

In the regression equations, Y refers to CT anomalies of species in each phenology group, whereas XSST, XZoo, and XUpw are the CT of CalCOFI SST, CalCOFI mesozooplankton volume, and the Bakun upwelling index, respectively. XAR1 is a first-order autoregressive term. Only the final regression model with the lowest AIC is shown. The bias-corrected dataset removes all data from May, September, and December, because missing data during these months in the 2000s could potentially affect results of this analysis. N/A, statistic could not be estimated because the null model provided the best fit to the data. Significance levels of regressions are indicated as follows: **P < 0.01; ***P < 0.001.