Table 1 Summary of multiple linear regression for the seasonal change in Fv/Fm related to environmental factors.

From: Springtime photoinhibition constrains regeneration of forest floor seedlings of Abies sachalinensis after a removal of canopy trees during winter

Dependent variable

Summary measures

Regression coefficients

r 2

P

AIC

Independent variable

Coefficients

P

VIF

Fv/Fm

0.76

<0.001

−210

DOY

0.00313

<0.001

3.35

   

Tmin

0.00630

<0.05

3.37

   

PPFDint

0.00404

<0.001

1.01

    

(Intercept)

0.176

<0.05

 
  1. Initial explanatory factors affecting Fv/Fm: day of year (DOY), daily minimum air temperature (Tmin), and integrated PPFD during the morning (PPFDint). The data of Fv/Fm on May 1 (DOY 122) was excluded for the analysis as an outlier. Stepwise regressions were undertaken to define the subset of effects that would altogether provide the smallest Akaike information criterion (AIC) in subsequent modeling. As a measure of multicollinearity, variance inflation factor (VIF) is demonstrated.
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