Literature DB >> 23504837

Spatial patterns and climate drivers of carbon fluxes in terrestrial ecosystems of China.

Gui-Rui Yu1, Xian-Jin Zhu, Yu-Ling Fu, Hong-Lin He, Qiu-Feng Wang, Xue-Fa Wen, Xuan-Ran Li, Lei-Ming Zhang, Li Zhang, Wen Su, Sheng-Gong Li, Xiao-Min Sun, Yi-Ping Zhang, Jun-Hui Zhang, Jun-Hua Yan, Hui-Min Wang, Guang-Sheng Zhou, Bing-Rui Jia, Wen-Hua Xiang, Ying-Nian Li, Liang Zhao, Yan-Fen Wang, Pei-Li Shi, Shi-Ping Chen, Xiao-Ping Xin, Feng-Hua Zhao, Yu-Ying Wang, Cheng-Li Tong.   

Abstract

Understanding the dynamics and underlying mechanism of carbon exchange between terrestrial ecosystems and the atmosphere is one of the key issues in global change research. In this study, we quantified the carbon fluxes in different terrestrial ecosystems in China, and analyzed their spatial variation and environmental drivers based on the long-term observation data of ChinaFLUX sites and the published data from other flux sites in China. The results indicate that gross ecosystem productivity (GEP), ecosystem respiration (ER), and net ecosystem productivity (NEP) of terrestrial ecosystems in China showed a significantly latitudinal pattern, declining linearly with the increase of latitude. However, GEP, ER, and NEP did not present a clear longitudinal pattern. The carbon sink functional areas of terrestrial ecosystems in China were mainly located in the subtropical and temperate forests, coastal wetlands in eastern China, the temperate meadow steppe in the northeast China, and the alpine meadow in eastern edge of Qinghai-Tibetan Plateau. The forest ecosystems had stronger carbon sink than grassland ecosystems. The spatial patterns of GEP and ER in China were mainly determined by mean annual precipitation (MAP) and mean annual temperature (MAT), whereas the spatial variation in NEP was largely explained by MAT. The combined effects of MAT and MAP explained 79%, 62%, and 66% of the spatial variations in GEP, ER, and NEP, respectively. The GEP, ER, and NEP in different ecosystems in China exhibited 'positive coupling correlation' in their spatial patterns. Both ER and NEP were significantly correlated with GEP, with 68% of the per-unit GEP contributed to ER and 29% to NEP. MAT and MAP affected the spatial patterns of ER and NEP mainly by their direct effects on the spatial pattern of GEP.
© 2012 Blackwell Publishing Ltd.

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Year:  2012        PMID: 23504837     DOI: 10.1111/gcb.12079

Source DB:  PubMed          Journal:  Glob Chang Biol        ISSN: 1354-1013            Impact factor:   10.863


  12 in total

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4.  Impacts of diffuse radiation on light use efficiency across terrestrial ecosystems based on Eddy covariance observation in China.

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Journal:  PLoS One       Date:  2014-11-13       Impact factor: 3.240

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Authors:  Xiaodong Liu; Xiuzhi Chen; Ronghua Li; Fengling Long; Lu Zhang; Qianmei Zhang; Jiyue Li
Journal:  Sci Rep       Date:  2017-02-21       Impact factor: 4.379

6.  Assessing the regional carbon sink with its forming processes- a case study of Liaoning province, China.

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Journal:  Sci Rep       Date:  2018-10-11       Impact factor: 4.379

7.  The full annual carbon balance of a subtropical coniferous plantation is highly sensitive to autumn precipitation.

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8.  Tree-ring widths are good proxies of annual variation in forest productivity in temperate forests.

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Journal:  Sci Rep       Date:  2017-10-12       Impact factor: 4.379

10.  Interannual and seasonal variations in carbon exchanges over an alpine meadow in the northeastern edge of the Qinghai-Tibet Plateau, China.

Authors:  Jinkui Wu; Hao Wu; Yongjian Ding; Jia Qin; Hongyuan Li; Shiwei Liu; Di Zeng
Journal:  PLoS One       Date:  2020-02-11       Impact factor: 3.240

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