Terrestrial gross carbon dioxide uptake: Global distribution and covariation with climate

Christian Beer; Markus Reichstein; Enrico Tomelleri; Philippe Ciais; Martin Jung; Nuno Carvalhais; Christian Rödenbeck; M. Altaf Arain; Dennis Baldocchi; Gordon B. Bonan; Alberte Bondeau; Alessandro Cescatti; Gitta Lasslop; Anders Lindroth; Mark Lomas; Sebastiaan Luyssaert; Hank Margolis; Keith W. Oleson; Olivier Roupsard; Elmar Veenendaal; Nicolas Viovy; Christopher Williams; F. Ian Woodward; Dario Papale

doi:10.1126/science.1184984

Terrestrial gross carbon dioxide uptake: Global distribution and covariation with climate

Christian Beer
, Markus Reichstein
, Enrico Tomelleri
, Philippe Ciais
, Martin Jung
, Nuno Carvalhais
, Christian Rödenbeck
, M. Altaf Arain
, Dennis Baldocchi
, Gordon B. Bonan
, Alberte Bondeau
, Alessandro Cescatti
, Gitta Lasslop
, Anders Lindroth
, Mark Lomas
, Sebastiaan Luyssaert
, Hank Margolis
, Keith W. Oleson
, Olivier Roupsard
, Elmar Veenendaal

Nicolas Viovy, Christopher Williams, F. Ian Woodward, Dario Papale

Terrestrial Sciences

Max Planck Institute for Biogeochemistry
Université Versailles St-Quentin
NOVA University Lisbon
McMaster University
University of California at Berkeley
National Center for Atmospheric Research
Potsdam Institute for Climate Impact Research
European Commission Joint Research Centre Institute
Lund University
University of Sheffield
University of Antwerp
Université Laval
Centre de coopération internationale en recherche agronomique pour le développement
Tropical Agricultural Research and Higher Education Center
Wageningen University & Research
Clark University
Tuscia University

Research output: Contribution to journal › Article › peer-review

2375 Scopus citations

Abstract

Terrestrial gross primary production (GPP) is the largest global CO ₂ flux driving several ecosystem functions. We provide an observation-based estimate of this flux at 123 ± 8 petagrams of carbon per year (Pg C year^-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.

Original language	English
Pages (from-to)	834-838
Number of pages	5
Journal	Science
Volume	329
Issue number	5993
DOIs	https://doi.org/10.1126/science.1184984
State	Published - Aug 13 2010

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10.1126/science.1184984

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Beer, C., Reichstein, M., Tomelleri, E., Ciais, P., Jung, M., Carvalhais, N., Rödenbeck, C., Arain, M. A., Baldocchi, D., Bonan, G. B., Bondeau, A., Cescatti, A., Lasslop, G., Lindroth, A., Lomas, M., Luyssaert, S., Margolis, H., Oleson, K. W., Roupsard, O., ... Papale, D. (2010). Terrestrial gross carbon dioxide uptake: Global distribution and covariation with climate. Science, 329(5993), 834-838. https://doi.org/10.1126/science.1184984

@article{8e2dec749aee40b7b05903214da9495c,

title = "Terrestrial gross carbon dioxide uptake: Global distribution and covariation with climate",

abstract = "Terrestrial gross primary production (GPP) is the largest global CO 2 flux driving several ecosystem functions. We provide an observation-based estimate of this flux at 123 ± 8 petagrams of carbon per year (Pg C year-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.",

author = "Christian Beer and Markus Reichstein and Enrico Tomelleri and Philippe Ciais and Martin Jung and Nuno Carvalhais and Christian R{\"o}denbeck and Arain, \{M. Altaf\} and Dennis Baldocchi and Bonan, \{Gordon B.\} and Alberte Bondeau and Alessandro Cescatti and Gitta Lasslop and Anders Lindroth and Mark Lomas and Sebastiaan Luyssaert and Hank Margolis and Oleson, \{Keith W.\} and Olivier Roupsard and Elmar Veenendaal and Nicolas Viovy and Christopher Williams and Woodward, \{F. Ian\} and Dario Papale",

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doi = "10.1126/science.1184984",

language = "English",

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Beer, C, Reichstein, M, Tomelleri, E, Ciais, P, Jung, M, Carvalhais, N, Rödenbeck, C, Arain, MA, Baldocchi, D, Bonan, GB, Bondeau, A, Cescatti, A, Lasslop, G, Lindroth, A, Lomas, M, Luyssaert, S, Margolis, H, Oleson, KW, Roupsard, O, Veenendaal, E, Viovy, N, Williams, C, Woodward, FI & Papale, D 2010, 'Terrestrial gross carbon dioxide uptake: Global distribution and covariation with climate', Science, vol. 329, no. 5993, pp. 834-838. https://doi.org/10.1126/science.1184984

TY - JOUR

T1 - Terrestrial gross carbon dioxide uptake

T2 - Global distribution and covariation with climate

AU - Beer, Christian

AU - Reichstein, Markus

AU - Tomelleri, Enrico

AU - Ciais, Philippe

AU - Jung, Martin

AU - Carvalhais, Nuno

AU - Rödenbeck, Christian

AU - Arain, M. Altaf

AU - Baldocchi, Dennis

AU - Bonan, Gordon B.

AU - Bondeau, Alberte

AU - Cescatti, Alessandro

AU - Lasslop, Gitta

AU - Lindroth, Anders

AU - Lomas, Mark

AU - Luyssaert, Sebastiaan

AU - Margolis, Hank

AU - Oleson, Keith W.

AU - Roupsard, Olivier

AU - Veenendaal, Elmar

AU - Viovy, Nicolas

AU - Williams, Christopher

AU - Woodward, F. Ian

AU - Papale, Dario

PY - 2010/8/13

Y1 - 2010/8/13

N2 - Terrestrial gross primary production (GPP) is the largest global CO 2 flux driving several ecosystem functions. We provide an observation-based estimate of this flux at 123 ± 8 petagrams of carbon per year (Pg C year-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.

AB - Terrestrial gross primary production (GPP) is the largest global CO 2 flux driving several ecosystem functions. We provide an observation-based estimate of this flux at 123 ± 8 petagrams of carbon per year (Pg C year-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.

UR - https://www.scopus.com/pages/publications/77955623505

U2 - 10.1126/science.1184984

DO - 10.1126/science.1184984

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C2 - 20603496

AN - SCOPUS:77955623505

SN - 0036-8075

VL - 329

SP - 834

EP - 838

JO - Science

JF - Science

IS - 5993

ER -

Terrestrial gross carbon dioxide uptake: Global distribution and covariation with climate

Abstract

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