Articles | Volume 13, issue 17
https://doi.org/10.5194/bg-13-5121-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-13-5121-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
14 Sep 2016
Research article |
| 14 Sep 2016
Role of CO2, climate and land use in regulating the seasonal amplitude increase of carbon fluxes in terrestrial ecosystems: a multimodel analysis
Fang Zhao
CORRESPONDING AUTHOR
Department of Atmospheric and Oceanic Science, University of Maryland,
College Park, MD 20742, USA
Potsdam Institute for Climate Impact Research, Telegraphenberg, 14412
Potsdam, Germany
Ning Zeng
Department of Atmospheric and Oceanic Science, University of Maryland,
College Park, MD 20742, USA
Earth System Science Interdisciplinary Center, University of Maryland,
College Park, MD 20742, USA
Ghassem Asrar
Joint Global Change Research Institute, Pacific Northwest National
Laboratory, College Park, MD 20742, USA
Pierre Friedlingstein
University of Exeter, College of Engineering Mathematics and Physical Sciences, Exeter, EX4 4QF, UK
Akihiko Ito
Center for Global Environmental Research, National Institute for
Environmental Studies, 305-0053 Tsukuba, Japan
Atul Jain
Department of Atmospheric Sciences, University of Illinois, Urbana, IL
61801, USA
Eugenia Kalnay
Department of Atmospheric and Oceanic Science, University of Maryland,
College Park, MD 20742, USA
Etsushi Kato
Global Environment Program Research & Development Division, the
Institute of Applied Energy (IAE), 105-0003 Tokyo, Japan
Charles D. Koven
Earth Sciences Division, Lawrence Berkeley National Laboratory,
Berkeley, CA 94720, USA
Ben Poulter
Institute on Ecosystems and Department of Ecology, Montana State
University, Bozeman, MT 59717, USA
Rashid Rafique
Joint Global Change Research Institute, Pacific Northwest National
Laboratory, College Park, MD 20742, USA
Stephen Sitch
University of Exeter, College of Life and Environmental Sciences, Exeter, EX4 4QF, UK
Shijie Shu
Department of Atmospheric Sciences, University of Illinois, Urbana, IL
61801, USA
Beni Stocker
Climate and Environmental Physics, Physics Institute, University of
Bern, 3012 Bern, Switzerland
Nicolas Viovy
Laboratoire des Sciences du Climat et de l'Environnement, CEA CNRS
UVSQ, 91191 Gif-sur-Yvette, France
Andy Wiltshire
Hadley Centre, Met Office, Exeter, EX1 3PB, UK
Sonke Zaehle
Biogeochemical Integration Department, Max Planck Institute for
Biogeochemistry, P.O. Box 10 01 64, 07701 Jena, Germany
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- Understanding elevated CO2 concentrations in East Asia relative to the global mean during boreal spring on the slow and interannual timescales S. Yeh et al. 10.1016/j.scitotenv.2023.166098
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- Constraining Uncertainty in Projected Gross Primary Production With Machine Learning M. Schlund et al. 10.1029/2019JG005619
- Low frequency changes in CO2 concentration in East Asia related to Pacific decadal oscillation and Atlantic multi-decadal oscillation for mid-summer and early fall S. Yeh et al. 10.1016/j.scitotenv.2023.162377
- Deterministic and stochastic components of atmospheric CO2inside forest canopies and consequences for predicting carbon and water exchange E. Muñoz & C. Sierra 10.1016/j.agrformet.2023.109624
- Multiscale assessment of North American terrestrial carbon balance K. Foster et al. 10.5194/bg-21-869-2024
- Increased light‐use efficiency in northern terrestrial ecosystems indicated by CO2 and greening observations R. Thomas et al. 10.1002/2016GL070710
- Drivers of multi-century trends in the atmospheric CO<sub>2</sub> mean annual cycle in a prognostic ESM J. Liptak et al. 10.5194/bg-14-1383-2017
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- Enhanced peak growth of global vegetation and its key mechanisms K. Huang et al. 10.1038/s41559-018-0714-0
- The terrestrial carbon budget of South and Southeast Asia M. Cervarich et al. 10.1088/1748-9326/11/10/105006
25 citations as recorded by crossref.
- Modeling and Predicting Carbon and Water Fluxes Using Data-Driven Techniques in a Forest Ecosystem X. Dou & Y. Yang 10.3390/f8120498
- Bias-correcting carbon fluxes derived from land-surface satellite data for retrospective and near-real-time assimilation systems B. Weir et al. 10.5194/acp-21-9609-2021
- Simulated projections of boreal forest peatland ecosystem productivity are sensitive to observed seasonality in leaf physiology† A. Jensen et al. 10.1093/treephys/tpy140
- Spatially resolved evaluation of Earth system models with satellite column-averaged CO<sub>2</sub> B. Gier et al. 10.5194/bg-17-6115-2020
- Evaluation and uncertainty analysis of regional-scale CLM4.5 net carbon flux estimates H. Post et al. 10.5194/bg-15-187-2018
- Soil Respiration Phenology Improves Modeled Phase of Terrestrial net Ecosystem Exchange in Northern Hemisphere K. Endsley et al. 10.1029/2021MS002804
- Comprehensive Evaluation of Machine Learning Techniques for Estimating the Responses of Carbon Fluxes to Climatic Forces in Different Terrestrial Ecosystems X. Dou & Y. Yang 10.3390/atmos9030083
- RETRACTED ARTICLE: A constraint on historic growth in global photosynthesis due to increasing CO2 T. Keenan et al. 10.1038/s41586-021-04096-9
- Plant Regrowth as a Driver of Recent Enhancement of Terrestrial CO2 Uptake M. Kondo et al. 10.1029/2018GL077633
- Addressing biases in Arctic–boreal carbon cycling in the Community Land Model Version 5 L. Birch et al. 10.5194/gmd-14-3361-2021
- Remote‐Sensing Derived Trends in Gross Primary Production Explain Increases in the CO2 Seasonal Cycle Amplitude L. He et al. 10.1029/2021GB007220
- Understanding elevated CO2 concentrations in East Asia relative to the global mean during boreal spring on the slow and interannual timescales S. Yeh et al. 10.1016/j.scitotenv.2023.166098
- Spatial variation of carbon turnover time and carbon uptake in a Chinese desert steppe ecosystem B. Yang et al. 10.1016/j.ecolind.2020.106120
- Causes of slowing‐down seasonal CO2 amplitude at Mauna Loa K. Wang et al. 10.1111/gcb.15162
- Impact of Changing Winds on the Mauna Loa CO2 Seasonal Cycle in Relation to the Pacific Decadal Oscillation Y. Jin et al. 10.1029/2021JD035892
- Constraining Uncertainty in Projected Gross Primary Production With Machine Learning M. Schlund et al. 10.1029/2019JG005619
- Low frequency changes in CO2 concentration in East Asia related to Pacific decadal oscillation and Atlantic multi-decadal oscillation for mid-summer and early fall S. Yeh et al. 10.1016/j.scitotenv.2023.162377
- Deterministic and stochastic components of atmospheric CO2inside forest canopies and consequences for predicting carbon and water exchange E. Muñoz & C. Sierra 10.1016/j.agrformet.2023.109624
- Multiscale assessment of North American terrestrial carbon balance K. Foster et al. 10.5194/bg-21-869-2024
- Increased light‐use efficiency in northern terrestrial ecosystems indicated by CO2 and greening observations R. Thomas et al. 10.1002/2016GL070710
- Drivers of multi-century trends in the atmospheric CO<sub>2</sub> mean annual cycle in a prognostic ESM J. Liptak et al. 10.5194/bg-14-1383-2017
- Siberian and temperate ecosystems shape Northern Hemisphere atmospheric CO 2 seasonal amplification X. Lin et al. 10.1073/pnas.1914135117
- Investigating Wetland and Nonwetland Soil Methane Emissions and Sinks Across the Contiguous United States Using a Land Surface Model S. Shu et al. 10.1029/2019GB006251
- Mapping and Attributing Normalized Difference Vegetation Index Trends for Nepal N. Krakauer et al. 10.3390/rs9100986
- Enhanced peak growth of global vegetation and its key mechanisms K. Huang et al. 10.1038/s41559-018-0714-0
1 citations as recorded by crossref.
Saved (preprint)
Latest update: 17 Apr 2024
Short summary
The increasing seasonality of atmospheric CO2 is strongly linked with enhanced land vegetation activities in the last 5 decades, for which the importance of increasing CO2, climate and land use/cover change was evaluated in single model studies (Zeng et al., 2014; Forkel et al., 2016). Here we examine the relative importance of these factors in multiple models. Our results highlight models can show similar results in some benchmarks with different underlying regional dynamics.
The increasing seasonality of atmospheric CO2 is strongly linked with enhanced land vegetation...
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