Quantifying Terrestrial Ecosystem Carbon Dynamics in the Upper Yangtze Basin from 1975 to 2000

Author(s):  
Shuqing Zhao ◽  
Shuguang Liu ◽  
Runsheng Yin ◽  
Zhengpeng Li ◽  
Yulin Deng ◽  
...  
2017 ◽  
Vol 31 (5) ◽  
pp. 878-900 ◽  
Author(s):  
Guangsheng Chen ◽  
Daniel J. Hayes ◽  
A. David McGuire

Nature ◽  
2008 ◽  
Vol 451 (7176) ◽  
pp. 289-292 ◽  
Author(s):  
Martin Heimann ◽  
Markus Reichstein

2016 ◽  
Vol 142 ◽  
pp. 28-40 ◽  
Author(s):  
Yueyang Jiang ◽  
Qianlai Zhuang ◽  
Stephen Sitch ◽  
Jonathan A. O'Donnell ◽  
David Kicklighter ◽  
...  

2020 ◽  
Vol 17 (18) ◽  
pp. 4591-4610
Author(s):  
Junrong Zha ◽  
Qianla Zhuang

Abstract. A large amount of soil carbon in northern temperate and boreal regions could be emitted as greenhouse gases in a warming future. However, lacking detailed microbial processes such as microbial dormancy in current biogeochemistry models might have biased the quantification of the regional carbon dynamics. Here the effect of microbial dormancy was incorporated into a biogeochemistry model to improve the quantification for the last century and this century. Compared with the previous model without considering the microbial dormancy, the new model estimated the regional soils stored 75.9 Pg more C in the terrestrial ecosystems during the last century and will store 50.4 and 125.2 Pg more C under the RCP8.5 and RCP2.6 scenarios, respectively, in this century. This study highlights the importance of the representation of microbial dormancy in earth system models to adequately quantify the carbon dynamics in the northern temperate and boreal natural terrestrial ecosystems.


2019 ◽  
Author(s):  
Junrong Zha ◽  
Qianlai Zhuang

Abstract. A large amount of soil carbon in the Arctic terrestrial ecosystems could be emitted as greenhouse gases in a warming future. However, lacking detailed microbial processes such as microbial dormancy in current biogeochemistry models might have biased the quantification of the regional carbon dynamics. Here the effect of microbial dormancy was incorporated into a biogeochemistry model to improve the quantification for the last and this century. Compared with the previous model without considering the microbial dormancy, the new model estimated the regional soils stored 75.9 Pg more C in the terrestrial ecosystems during the last century, and will store 50.4 Pg and 125.2 Pg more C under the RCP 8.5 and RCP 2.6 scenarios, respectively, in this century. This study highlights the importance of the representation of microbial dormancy in earth system models to adequately quantify the carbon dynamics in the Arctic.


2009 ◽  
Vol 45 (3) ◽  
pp. 466-475 ◽  
Author(s):  
Shuqing Zhao ◽  
Shuguang Liu ◽  
Runsheng Yin ◽  
Zhengpeng Li ◽  
Yulin Deng ◽  
...  

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