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  Cross-site evaluation of eddy covariance GPP and RE decomposition techniques

Desai, A. R., Richardson, A. D., Moffat, A. M., Kattge, J., Hollinger, D. Y., Barr, A., Falge, E., Noormets, A., Papale, D., Reichstein, M., & Stauch, V. J. (2008). Cross-site evaluation of eddy covariance GPP and RE decomposition techniques. Agricultural and Forest Meteorology, 148(6-7), 821-838. doi:10.1016/j.agrformet.2007.11.012.

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資料種別: 学術論文

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BGC1118.pdf (出版社版), 2MB
 
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BGC1118.pdf
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 作成者:
Desai, A. R., 著者
Richardson, A. D., 著者
Moffat, A. M.1, 著者           
Kattge, Jens2, 著者           
Hollinger, D. Y., 著者
Barr, A., 著者
Falge, E., 著者
Noormets, A., 著者
Papale, D., 著者
Reichstein, M.3, 著者           
Stauch, V. J., 著者
所属:
1Department Biogeochemical Systems, Prof. M. Heimann, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497755              
2TRY: Global Initiative on Plant Traits, Dr. J. Kattge, Research Group Organismic Biogeochemistry, Dr. C. Wirth, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497793              
3Research Group Biogeochemical Model-data Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497760              

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キーワード: eddy correlation; carbon balance; net ecosystem exchange; GPP; RE NET ECOSYSTEM EXCHANGE; CARBON-DIOXIDE EXCHANGE; CO2 FLUX; SOIL RESPIRATION; FOREST; UNCERTAINTY; MODELS; TERM; GROWTH; USA
 要旨: Eddy covariance flux towers measure net exchange of land-atmosphere flux. For the flux of carbon dioxide, this net ecosystem exchange (NEE) is governed by two processes, gross primary production (GPP) and a sum of autotrophic and heterotrophic respiration components known as ecosystem respiration (RE). A number of statistical flux-partitioning methods, often developed to fill missing NEE data, can also be used to estimate GPP and RE from NEE time series. Here we present results of the first comprehensive, multi-site comparison of these partitioning methods. An initial test was performed with a subset of methods in retrieving GPP and RE from NEE generated by an ecosystem model, which was also degraded with realistic noise. All methods produced GPP and RE estimates that were highly correlated with the synthetic data at the daily and annual timescales, but most were biased low, including a parameter inversion of the original model. We then applied 23 different methods to 10 site years of temperate forest flux data, including 10 different artificial gap scenarios (10% removal of observations), in order to investigate the effects of partitioning method choice, data gaps, and intersite variability on estimated GPP and RE. Most methods differed by less than 10% in estimates of both GPP and RE. Gaps added an additional 6-7% variability, but did not result in additional bias. ANOVA showed that most methods were consistent in identifying differences in GPP and RE across sites, leading to increased confidence in previously published multi-site comparisons and syntheses. Several methods produced outliers at some sites, and some methods were systematically biased against the ensemble mean. Larger model spread was found for Mediterranean sites compared to temperate or boreal sites. For both real and synthetic data, high variability was found in modeling of the diurnal RE cycle, suggesting that additional study of diurnal RE mechanisms could help to improve partitioning algorithms. (C) 2007 Elsevier B.V. All rights reserved.

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言語: eng - English
 日付: 2008
 出版の状態: 出版
 ページ: -
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 識別子(DOI, ISBNなど): DOI: 10.1016/j.agrformet.2007.11.012
ISI: ://000257006200001
その他: BGC1118
 学位: -

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出版物 1

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出版物名: Agricultural and Forest Meteorology
種別: 学術雑誌
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出版社, 出版地: Amsterdam : Elsevier
ページ: - 巻号: 148 (6-7) 通巻号: - 開始・終了ページ: 821 - 838 識別子(ISBN, ISSN, DOIなど): CoNE: https://pure.mpg.de/cone/journals/resource/954928468040
ISSN: 0168-1923