Towards a standardized processing of Net Ecosystem Exchange measured with eddy covariance technique: algorithms and uncertainty estimation

被引:1194
作者
Papale, D. [1 ]
Reichstein, M.
Aubinet, M.
Canfora, E.
Bernhofer, C.
Kutsch, W.
Longdoz, B.
Rambal, S.
Valentini, R.
Vesala, T.
Yakir, D.
机构
[1] Univ Tuscia, Dept Forest Sci & Environm, I-01100 Viterbo, Italy
[2] Max Planck Inst Biogeochem, D-07701 Jena, Germany
[3] Fac Sci Agron Etat Gembloux, B-5030 Gembloux, Belgium
[4] Tech Univ Dresden, Dept Meteorol, Inst Hydrol & Meteorol, D-01062 Dresden, Germany
[5] Ctr Nancy, F-54280 Champenoux, France
[6] CNRS, Dream CEFE, F-34293 Montpellier, France
[7] Univ Helsinki, Dept Phys Sci, FIN-00014 Helsinki, Finland
[8] Weizmann Inst Sci, Dept Environm Sci & Energy Res, IL-76100 Rehovot, Israel
关键词
D O I
10.5194/bg-3-571-2006
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Eddy covariance technique to measure CO2, water and energy fluxes between biosphere and atmosphere is widely spread and used in various regional networks. Currently more than 250 eddy covariance sites are active around the world measuring carbon exchange at high temporal resolution for different biomes and climatic conditions. In this paper a new standardized set of corrections is introduced and the uncertainties associated with these corrections are assessed for eight different forest sites in Europe with a total of 12 yearly datasets. The uncertainties introduced on the two components GPP (Gross Primary Production) and TER (Terrestrial Ecosystem Respiration) are also discussed and a quantitative analysis presented. Through a factorial analysis we find that generally, uncertainties by different corrections are additive without interactions and that the heuristic u(*)-correction introduces the largest uncertainty. The results show that a standardized data processing is needed for an effective comparison across biomes and for underpinning interannual variability. The methodology presented in this paper has also been integrated in the European database of the eddy covariance measurements.
引用
收藏
页码:571 / 583
页数:13
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