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Decadal trends in the seasonal-cycle amplitude of terrestrial CO 2 exchange resulting from the ensemble of terrestrial biosphere models
| Content Provider | Semantic Scholar |
|---|---|
| Author | Ito, Akihiko Inatomi, Motoko Mao, Jiafu Wei, Yaxing Wang, Weile Huang, Shujiao Hayes, Daniel J. Shi, Xiaoying Huang, Maoyi Lei, Huimin Tian, Hanqin Chaoqun, L. Yang, Jia Jain, Atul Poulter, Benjamin Peng, Shushi Ciais, Philippe Schaefer, Kevin Peng, Changhui Zeng, Ning Zhao, Fang |
| Copyright Year | 2016 |
| Abstract | 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 *Corresponding author. email: itoh@nies.go.jp Responsible Editor: Anders Lindroth, Lund University, Sweden. Tellus B 2016. # 2016 A. Ito et al. This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material for any purpose, even commercially, provided the original work is properly cited and states its license. 1 Citation: Tellus B 2016, 68, 28968, http://dx.doi.org/10.3402/tellusb.v68.28968 P U B L I S H E D B Y T H E I N T E R N A T I O N A L M E T E O R O L O G I C A L I N S T I T U T E I N S T O C K H O L M SERIES B CHEMICAL AND PHYSICAL METEOROLOGY (page number not for citation purpose) conditions, the simulated global-scale SCA of the cumulative net ecosystem carbon flux of most models was comparable in magnitude with the SCA of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 ). 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. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://ecoss.nau.edu/wp-content/uploads/2017/01/28968-198156-1-PB.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Amplifier Biosphere Carbon Dioxide Carbon cycle Command & Conquer:Yuri's Revenge Ecosystem model Email Ephrin Type-B Receptor 1, human Experiment Physical vapor deposition Responsiveness Seasonal Affective Disorder Seasonality Simulation Structure of superior cerebellar artery Terrestrial television Vendor Information Documentation citation physical hard work |
| Content Type | Text |
| Resource Type | Article |