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  Terrestrial Gross Carbon Dioxide Uptake: Global Distribution and Covariation with Climate

Beer, C., Reichstein, M., Tomelleri, E., Ciais, P., Jung, M., Carvalhais, N., et al. (2010). Terrestrial Gross Carbon Dioxide Uptake: Global Distribution and Covariation with Climate. Science, 329(5993), 834-838. doi:10.1126/science.1184984.

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 Creators:
Beer, Christian1, Author           
Reichstein, Markus1, Author           
Tomelleri, Enrico1, Author           
Ciais, Philippe, Author
Jung, Martin1, Author           
Carvalhais, Nuno1, Author           
Rödenbeck, Christian2, Author           
Arain, M. Altaf, Author
Baldocchi, Dennis, Author
Bonan, Gordon B., Author
Bondeau, Alberte, Author
Cescatti, Alessandro, Author
Lasslop, Gitta1, Author           
Lindroth, Anders, Author
Lomas, Mark, Author
Luyssaert, Sebastiaan, Author
Margolis, Hank, Author
Oleson, Keith W., Author
Roupsard, Olivier, Author
Veenendaal, Elmar, Author
Viovy, Nicolas, AuthorWilliams, Christopher, AuthorWoodward, F. Ian, AuthorPapale, Dario, Author more..
Affiliations:
1Research Group Biogeochemical Model-data Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497760              
2Inverse Data-driven Estimation, Dr. C. Rödenbeck, Department Biogeochemical Systems, Prof. M. Heimann, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497785              

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 Abstract: Terrestrial gross primary production (GPP) is the largest global CO2 flux driving several ecosystem functions. We provide an observation-based estimate of this flux at 123 {+/-} 8 Pg C a-1 using eddy covariance flux data and various diagnostic models. Tropical forests and savannahs account for 60%. GPP over 40% of the vegetated land is associated with precipitation. State-of-the-art process-oriented biosphere models used for climate predictions exhibit a large between-model variation of GPP's latitudinal patterns and show higher spatial correlations between GPP and precipitation, suggesting the existence of missing processes or feedback mechanisms which attenuate the vegetation response to climate. Our estimates of spatially distributed GPP and its covariation with climate can help improve coupled climate-carbon cycle process models.

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 Dates: 2010
 Publication Status: Issued
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 Identifiers: DOI: 10.1126/science.1184984
Other: BGC1366
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Title: Science
Source Genre: Journal
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Publ. Info: Washington, D.C. Washington, D.C. : American Association for the Advancement of Science American Association for the Advancement of Science
Pages: - Volume / Issue: 329 (5993) Sequence Number: - Start / End Page: 834 - 838 Identifier: CoNE: https://pure.mpg.de/cone/journals/resource/991042748276600
ISSN: 0036-8075