Articles | Volume 19, issue 19
https://doi.org/10.5194/acp-19-12361-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/acp-19-12361-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 Oct 2019
Research article |
| 07 Oct 2019
| 07 Oct 2019
Contrasting effects of CO2 fertilization, land-use change and warming on seasonal amplitude of Northern Hemisphere CO2 exchange
Department of Geography, Ludwig-Maximilians-Universität, Luisenstr. 37, 80333, Munich, Germany
Philippe Ciais
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91191
Gif-sur-Yvette, France
Frédéric Chevallier
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91191
Gif-sur-Yvette, France
Christian Rödenbeck
Max Planck Institute for Biogeochemistry, 07745, Jena, Germany
Ashley P. Ballantyne
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91191
Gif-sur-Yvette, France
Department of Ecosystem and Conservation Sciences, University of Montana, Missoula, Montana 59812, USA
Fabienne Maignan
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91191
Gif-sur-Yvette, France
Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA 91125, USA
Marcos Fernández-Martínez
Centre of Excellence PLECO (Plants and Ecosystems), Department of Biology, University of Antwerp, 2610 Wilrijk, Belgium
Pierre Friedlingstein
College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter EX4 4QF, UK
Josep Peñuelas
CSIC, Global Ecology Unit CREAF–CEAB–UAB, Bellaterra, 08193, Catalonia, Spain
CREAF, Cerdanyola del Vallès, 08193, Catalonia, Spain
Shilong L. Piao
Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China
Stephen Sitch
College of Life and Environmental Sciences, University of Exeter, Exeter EX4 4RJ, UK
William K. Smith
School of Natural Resources and the Environment, University of Arizona, Tucson, AZ 85721, USA
Xuhui Wang
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91191
Gif-sur-Yvette, France
Zaichun Zhu
School of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen, 518055, China
Vanessa Haverd
CSIRO Oceans and Atmosphere, Canberra, 2601, Australia
Etsushi Kato
Institute of Applied Energy (IAE), Minato, Tokyo 105-0003, Japan
Atul K. Jain
Department of Atmospheric Sciences, University of Illinois, Urbana, IL 61801, USA
Sebastian Lienert
Climate and Environmental Physics, Physics Institute and Oeschger Centre for Climate Change Research,
University of Bern, Bern 3012, Switzerland
Danica Lombardozzi
Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO 80302, USA
Julia E. M. S. Nabel
Max Planck Institute for Meteorology, 20146 Hamburg, Germany
Philippe Peylin
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91191
Gif-sur-Yvette, France
Benjamin Poulter
Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20816, USA
Dan Zhu
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91191
Gif-sur-Yvette, France
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35 citations as recorded by crossref.
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- Satellite-observed increasing coupling between vegetation productivity and greenness in the semiarid Loess Plateau of China is not captured by process-based models F. Tian et al. 10.1016/j.scitotenv.2023.167664
- Climate change driven by LUCC reduced NPP in the Yellow River Basin, China W. Wang et al. 10.1016/j.gloplacha.2024.104586
- Constraining Uncertainty in Projected Gross Primary Production With Machine Learning M. Schlund et al. 10.1029/2019JG005619
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- Integrating the evidence for a terrestrial carbon sink caused by increasing atmospheric CO2 A. Walker et al. 10.1111/nph.16866
- Modelling Cycles in Climate Series: The Fractional Sinusoidal Waveform Process T. Proietti & F. Maddanu 10.2139/ssrn.3945978
- Multi-year observations reveal a larger than expected autumn respiration signal across northeast Eurasia B. Byrne et al. 10.5194/bg-19-4779-2022
- The direct and indirect effects of the environmental factors on global terrestrial gross primary productivity over the past four decades Y. Chen et al. 10.1088/1748-9326/ad107f
- Agricultural fertilization significantly enhances amplitude of land-atmosphere CO2 exchange D. Lombardozzi et al. 10.1038/s41467-025-56730-z
- Diagnosing destabilization risk in global land carbon sinks M. Fernández-Martínez et al. 10.1038/s41586-023-05725-1
- Elevated CO2 concentrations contribute to a closer relationship between vegetation growth and water availability in the Northern Hemisphere mid-latitudes Y. Song et al. 10.1088/1748-9326/ad5f43
- Seasonal CO2 amplitude in northern high latitudes Z. Liu et al. 10.1038/s43017-024-00600-7
- An emergent constraint on the thermal sensitivity of photosynthesis and greenness in the high latitude northern forests J. Liu & P. Wennberg 10.1038/s41598-024-56362-1
- Siberian and temperate ecosystems shape Northern Hemisphere atmospheric CO 2 seasonal amplification X. Lin et al. 10.1073/pnas.1914135117
- The Orbiting Carbon Observatory-2 (OCO-2) and in situ CO2 data suggest a larger seasonal amplitude of the terrestrial carbon cycle compared to many dynamic global vegetation models R. Lei et al. 10.1016/j.rse.2024.114326
- Spatially resolved evaluation of Earth system models with satellite column-averaged CO2 B. Gier et al. 10.5194/bg-17-6115-2020
- Siberian 2020 heatwave increased spring CO2 uptake but not annual CO2 uptake M. Kwon et al. 10.1088/1748-9326/ac358b
- How Well Do We Understand the Land‐Ocean‐Atmosphere Carbon Cycle? D. Crisp et al. 10.1029/2021RG000736
- No increase is detected and modeled for the seasonal cycle amplitude of δ13C of atmospheric carbon dioxide F. Joos et al. 10.5194/bg-22-19-2025
- Spatial distributions of XCO2 seasonal cycle amplitude and phase over northern high-latitude regions N. Jacobs et al. 10.5194/acp-21-16661-2021
- Observational Constraints on the Response of High‐Latitude Northern Forests to Warming J. Liu et al. 10.1029/2020AV000228
- Dominant effect and threshold response of soil moisture on global vegetation greening in the 21st century G. Chen et al. 10.1016/j.catena.2025.109008
- Causes of slowing‐down seasonal CO2 amplitude at Mauna Loa K. Wang et al. 10.1111/gcb.15162
- Exploring the environmental drivers of vegetation seasonality changes in the northern extratropical latitudes: a quantitative analysis * X. Kong et al. 10.1088/1748-9326/acf728
- Modelling cycles in climate series: The fractional sinusoidal waveform process T. Proietti & F. Maddanu 10.1016/j.jeconom.2022.04.008
- Spatial Inhomogeneity of Atmospheric CO2 Concentration and Its Uncertainty in CMIP6 Earth System Models C. Xie et al. 10.1007/s00376-023-2294-4
Discussed (final revised paper)
Latest update: 11 Jul 2025
Short summary
Here we show that land-surface models improved their ability to simulate the increase in the amplitude of seasonal CO2-cycle exchange (SCANBP) by ecosystems compared to estimates by two atmospheric inversions. We find a dominant role of vegetation growth over boreal Eurasia to the observed increase in SCANBP, strongly driven by CO2 fertilization, and an overall negative effect of temperature on SCANBP. Biases can be explained by the sensitivity of simulated microbial respiration to temperature.
Here we show that land-surface models improved their ability to simulate the increase in the...
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