Variance structures in carbon flux measurements are dampened when gap-filling. Gap-filling methods that do not use static windows better preserve variance. Autocorrelation among gap-filled data is much higher than that of observed data. Multiple environmental variables should be included in gap-filling methods. Altered averaging times for measured NEE could help retain variance structures.