Chuixiang Yi, Queens College, City University of New York
Runze Li, ORNL Environmental Sciences Division
John Wolbeck, Pennsylvania State University
Xiyan Xu, Queens College, City University of New York
Mats Nilsson, Sveriges lantbruksuniversitet
Luis Aires, Polytechnic Institute of Leiria
John D. Albertson, Duke University
Christof Ammann, Forschungsanstalt Agroscope Reckenholz-Tanikon
M. Altaf Arain, McMaster University
Alessandro C. De Araujo, Instituto Nacional de Pesquisas Da Amazonia
Marc Aubinet, Université de Liège
Mika Aurela, Finnish Meteorological Institute
Zoltán Barcza, Eötvös Loránd Tudományegyetem
Alan Barr, Environment and Climate Change Canada
Paul Berbigier, Centre INRAE Nouvelle-Aquitaine Bordeaux
Jason Beringer, Monash University
Christian Bernhofer, Technische Universität Dresden
Andrew T. Black, The University of British Columbia
Paul V. Bolstad, University of Minnesota Twin Cities
Fred C. Bosveld, Royal Netherlands Meteorological Institute
Mark S.J. Broadmeadow, Forest Research
Nina Buchmann, ETH Zürich
Sean P. Burns, National Center for Atmospheric Research
Pierre Cellier, AgroParisTech
Jingming Chen, University of Toronto
Jiquan Chen, The University of Toledo
Philippe Ciais, CNRS Centre National de la Recherche Scientifique
Robert Clement, The University of Edinburgh
Bruce D. Cook, NASA Goddard Space Flight Center
Peter S. Curtis, The Ohio State University
D. Bryan Dail, University of Maine
Ebba Dellwik, Technical University of Denmark
Christopher A. Williams, Clark UniversityFollow

Document Type



Understanding the relationships between climate and carbon exchange by terrestrial ecosystems is critical to predict future levels of atmospheric carbon dioxide because of the potential accelerating effects of positive climate-carbon cycle feedbacks. However, directly observed relationships between climate and terrestrial CO2exchange with the atmosphere across biomes and continents are lacking. Here we present data describing the relationships between net ecosystem exchange of carbon (NEE) and climate factors as measured using the eddy covariance method at 125 unique sites in various ecosystems over six continents with a total of 559 site-years. We find that NEE observed at eddy covariance sites is (1) a strong function of mean annual temperature at mid- and high-latitudes, (2) a strong function of dryness at mid- and low-latitudes, and (3) a function of both temperature and dryness around the mid-latitudinal belt (45°N). The sensitivity of NEE to mean annual temperature breaks down at ∼16 ®C (a threshold value of mean annual temperature), above which no further increase of CO,.2uptake with temperature was observed and dryness influence overrules temperature influence. © 2010 lOP Publishing Ltd.

Publication Title

Environmental Research Letters

Publication Date









biomes, climate control, dryness, eddy flux, global carbon cycle, NEE, photosynthesis, respiration, temperature, terrestrial carbon sequestration

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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Geography Commons



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