Decadal trends in the seasonal-cycle amplitude of terrestrial CO2 exchange resulting from the ensemble of terrestrial biosphere models
The seasonal-cycle amplitude (SCA) of the atmosphere–ecosystem carbon dioxide (CO2) exchange rate is a useful metric of the responsiveness of the terrestrial biosphere to environmental variations. It is unclear, however, what underlying mechanisms are responsible for the observed increasing trend of...
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Format: | Article |
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Taylor & Francis Group
2016-05-01
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Series: | Tellus: Series B, Chemical and Physical Meteorology |
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Online Access: | http://www.tellusb.net/index.php/tellusb/article/view/28968/46619 |
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language |
English |
format |
Article |
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DOAJ |
author |
Akihiko Ito Motoko Inatomi Deborah N. Huntzinger Christopher Schwalm Anna M. Michalak Robert Cook Anthony W. King Jiafu Mao Yaxing Wei W. Mac Post Weile Wang M. Altaf Arain Suo Huang Daniel J. Hayes Daniel M. Ricciuto Xiaoying Shi Maoyi Huang Huimin Lei Hanqin Tian Chaoqun Lu Jia Yang Bo Tao Atul Jain Benjamin Poulter Shushi Peng Philippe Ciais Joshua B. Fisher Nicholas Parazoo Kevin Schaefer Changhui Peng Ning Zeng Fang Zhao |
spellingShingle |
Akihiko Ito Motoko Inatomi Deborah N. Huntzinger Christopher Schwalm Anna M. Michalak Robert Cook Anthony W. King Jiafu Mao Yaxing Wei W. Mac Post Weile Wang M. Altaf Arain Suo Huang Daniel J. Hayes Daniel M. Ricciuto Xiaoying Shi Maoyi Huang Huimin Lei Hanqin Tian Chaoqun Lu Jia Yang Bo Tao Atul Jain Benjamin Poulter Shushi Peng Philippe Ciais Joshua B. Fisher Nicholas Parazoo Kevin Schaefer Changhui Peng Ning Zeng Fang Zhao Decadal trends in the seasonal-cycle amplitude of terrestrial CO2 exchange resulting from the ensemble of terrestrial biosphere models Tellus: Series B, Chemical and Physical Meteorology atmospheric carbon dioxide carbon cycle climate change land-use change seasonal cycle terrestrial ecosystem |
author_facet |
Akihiko Ito Motoko Inatomi Deborah N. Huntzinger Christopher Schwalm Anna M. Michalak Robert Cook Anthony W. King Jiafu Mao Yaxing Wei W. Mac Post Weile Wang M. Altaf Arain Suo Huang Daniel J. Hayes Daniel M. Ricciuto Xiaoying Shi Maoyi Huang Huimin Lei Hanqin Tian Chaoqun Lu Jia Yang Bo Tao Atul Jain Benjamin Poulter Shushi Peng Philippe Ciais Joshua B. Fisher Nicholas Parazoo Kevin Schaefer Changhui Peng Ning Zeng Fang Zhao |
author_sort |
Akihiko Ito |
title |
Decadal trends in the seasonal-cycle amplitude of terrestrial CO2 exchange resulting from the ensemble of terrestrial biosphere models |
title_short |
Decadal trends in the seasonal-cycle amplitude of terrestrial CO2 exchange resulting from the ensemble of terrestrial biosphere models |
title_full |
Decadal trends in the seasonal-cycle amplitude of terrestrial CO2 exchange resulting from the ensemble of terrestrial biosphere models |
title_fullStr |
Decadal trends in the seasonal-cycle amplitude of terrestrial CO2 exchange resulting from the ensemble of terrestrial biosphere models |
title_full_unstemmed |
Decadal trends in the seasonal-cycle amplitude of terrestrial CO2 exchange resulting from the ensemble of terrestrial biosphere models |
title_sort |
decadal trends in the seasonal-cycle amplitude of terrestrial co2 exchange resulting from the ensemble of terrestrial biosphere models |
publisher |
Taylor & Francis Group |
series |
Tellus: Series B, Chemical and Physical Meteorology |
issn |
1600-0889 |
publishDate |
2016-05-01 |
description |
The seasonal-cycle amplitude (SCA) of the atmosphere–ecosystem carbon dioxide (CO2) exchange rate is a useful metric of the responsiveness of the terrestrial biosphere to environmental variations. It is unclear, however, what underlying mechanisms are responsible for the observed increasing trend of SCA in atmospheric CO2 concentration. Using output data from the Multi-scale Terrestrial Model Intercomparison Project (MsTMIP), we investigated how well the SCA of atmosphere–ecosystem CO2 exchange was simulated with 15 contemporary terrestrial ecosystem models during the period 1901–2010. Also, we made attempt to evaluate the contributions of potential mechanisms such as atmospheric CO2, climate, land-use, and nitrogen deposition, through factorial experiments using different combinations of forcing data. Under contemporary conditions, the simulated global-scale SCA of the cumulative net ecosystem carbon flux of most models was comparable in magnitude with the SCA of atmospheric CO2 concentrations. Results from factorial simulation experiments showed that elevated atmospheric CO2 exerted a strong influence on the seasonality amplification. When the model considered not only climate change but also land-use and atmospheric CO2 changes, the majority of the models showed amplification trends of the SCAs of photosynthesis, respiration, and net ecosystem production (+0.19 % to +0.50 % yr−1). In the case of land-use change, it was difficult to separate the contribution of agricultural management to SCA because of inadequacies in both the data and models. The simulated amplification of SCA was approximately consistent with the observational evidence of the SCA in atmospheric CO2 concentrations. Large inter-model differences remained, however, in the simulated global tendencies and spatial patterns of CO2 exchanges. Further studies are required to identify a consistent explanation for the simulated and observed amplification trends, including their underlying mechanisms. Nevertheless, this study implied that monitoring of ecosystem seasonality would provide useful insights concerning ecosystem dynamics. |
topic |
atmospheric carbon dioxide carbon cycle climate change land-use change seasonal cycle terrestrial ecosystem |
url |
http://www.tellusb.net/index.php/tellusb/article/view/28968/46619 |
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doaj-327c3fc1b67c426c8f5d7b17f6cb9d982020-11-25T00:31:01ZengTaylor & Francis GroupTellus: Series B, Chemical and Physical Meteorology1600-08892016-05-0168012010.3402/tellusb.v68.2896828968Decadal trends in the seasonal-cycle amplitude of terrestrial CO2 exchange resulting from the ensemble of terrestrial biosphere modelsAkihiko Ito0Motoko Inatomi1Deborah N. Huntzinger2Christopher Schwalm3Anna M. Michalak4Robert Cook5Anthony W. King6Jiafu Mao7Yaxing Wei8W. Mac Post9Weile Wang10M. Altaf Arain11Suo Huang12Daniel J. Hayes13Daniel M. Ricciuto14Xiaoying Shi15Maoyi Huang16Huimin Lei17Hanqin Tian18Chaoqun Lu19Jia Yang20Bo Tao21Atul Jain22Benjamin Poulter23Shushi Peng24Philippe Ciais25Joshua B. Fisher26Nicholas Parazoo27Kevin Schaefer28Changhui Peng29Ning Zeng30Fang Zhao31 Center for Global Environmental Research, National Institute for Environmental Studies, Tsukuba, Japan Department of Agriculture, Ibaraki University, Ami, Japan School of Earth Sciences and Environmental Sustainability, Northern Arizona University, Flagstaff, AZ, USA School of Earth Sciences and Environmental Sustainability, Northern Arizona University, Flagstaff, AZ, USA Carnegie Institute for Science, Stanford, CA, USA Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN, USA Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN, USA Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN, USA Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN, USA Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN, USA Ames Research Center, National Aeronautics and Space Administration, Moffett Field, CA, USA School of Geography and Earth Sciences, McMaster Centre for Climate Change, McMaster University, Hamilton, Ontario, Canada School of Geography and Earth Sciences, McMaster Centre for Climate Change, McMaster University, Hamilton, Ontario, Canada Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN, USA Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN, USA Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN, USA Pacific Northwest National Laboratory, Richland, WA, USA Tsinghua University, Beijing, China International Center for Climate and Global Change Research and School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL, USA Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA, USA International Center for Climate and Global Change Research and School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL, USA International Center for Climate and Global Change Research and School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL, USA University of Illinois, Urbana, IL, USA Montana State University, Bozeman, Mt, USA Laboratoire des Sciences du Climat et de l'Environnement, Gif sur Yvette, France Laboratoire des Sciences du Climat et de l'Environnement, Gif sur Yvette, France Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA National Snow and Ice Data Center, Boulder, CO, USA Department of Biology Sciences, Institute of Environment Sciences, University of Quebec at Montreal, Montreal, Canada University of Maryland, College Park, MD, USA University of Maryland, College Park, MD, USAThe seasonal-cycle amplitude (SCA) of the atmosphere–ecosystem carbon dioxide (CO2) exchange rate is a useful metric of the responsiveness of the terrestrial biosphere to environmental variations. It is unclear, however, what underlying mechanisms are responsible for the observed increasing trend of SCA in atmospheric CO2 concentration. Using output data from the Multi-scale Terrestrial Model Intercomparison Project (MsTMIP), we investigated how well the SCA of atmosphere–ecosystem CO2 exchange was simulated with 15 contemporary terrestrial ecosystem models during the period 1901–2010. Also, we made attempt to evaluate the contributions of potential mechanisms such as atmospheric CO2, climate, land-use, and nitrogen deposition, through factorial experiments using different combinations of forcing data. Under contemporary conditions, the simulated global-scale SCA of the cumulative net ecosystem carbon flux of most models was comparable in magnitude with the SCA of atmospheric CO2 concentrations. Results from factorial simulation experiments showed that elevated atmospheric CO2 exerted a strong influence on the seasonality amplification. When the model considered not only climate change but also land-use and atmospheric CO2 changes, the majority of the models showed amplification trends of the SCAs of photosynthesis, respiration, and net ecosystem production (+0.19 % to +0.50 % yr−1). In the case of land-use change, it was difficult to separate the contribution of agricultural management to SCA because of inadequacies in both the data and models. The simulated amplification of SCA was approximately consistent with the observational evidence of the SCA in atmospheric CO2 concentrations. Large inter-model differences remained, however, in the simulated global tendencies and spatial patterns of CO2 exchanges. Further studies are required to identify a consistent explanation for the simulated and observed amplification trends, including their underlying mechanisms. Nevertheless, this study implied that monitoring of ecosystem seasonality would provide useful insights concerning ecosystem dynamics.http://www.tellusb.net/index.php/tellusb/article/view/28968/46619atmospheric carbon dioxidecarbon cycleclimate changeland-use changeseasonal cycleterrestrial ecosystem |