Heightened awareness of global change issues within both science and politi
cal communities has increased interest in using the global network of eddy
covariance flux towers to more fully understand the impacts of natural and
anthropogenic phenomena on the global carbon balance. Comparisons of net ec
osystem exchange (F-NEE) responses are being made among biome types, phenol
ogy patterns, and stress conditions. The comparisons are usually performed
on annual sums of F-NEE; however, the average data coverage during a year i
s only 65%. Therefore, robust and consistent gap filling methods are requir
ed.
We review several methods of gap filling and apply them to data sets availa
ble from the EUROFLUX and AmeriFlux databases. The methods are based on mea
n diurnal variation (MDV), look-up tables LookUp, and nonlinear regressions
(Regr.), and the impact of different gap filling methods on the annual sum
of FNEE is investigated. The difference between annual F-NEE filled by MDV
compared to F-NEE filled by Regr. ranged from -45 to +200 g C m(-2) per ye
ar (MDV-Regr.). Comparing LookUp and Regr. methods resulted in a difference
(LookUp-Regr.) ranging from -30 to +150g Cm-2 per year.
We also investigated the impact of replacing measurements at night, when tu
rbulent mixing is insufficient. The nighttime correction for low friction v
elocities (u(*)) shifted annual F-NEE on average by +77 g C m(-2) per year,
but in certain cases as much as +185 g C m-2 per year.
Our results emphasize the need to standardize gap filling-methods for impro
ving the comparability of flux data products from regional and global flux
networks. (C) 2001 Elsevier Science B.V. All rights reserved.