Gap filling strategies for defensible annual sums of net ecosystem exchange

Citation
E. Falge et al., Gap filling strategies for defensible annual sums of net ecosystem exchange, AGR FOR MET, 107(1), 2001, pp. 43-69
Citations number
49
Categorie Soggetti
Agriculture/Agronomy
Journal title
AGRICULTURAL AND FOREST METEOROLOGY
ISSN journal
01681923 → ACNP
Volume
107
Issue
1
Year of publication
2001
Pages
43 - 69
Database
ISI
SICI code
0168-1923(20010301)107:1<43:GFSFDA>2.0.ZU;2-U
Abstract
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.