NWIPB OpenIR
Geographical statistical assessments of carbon fluxes in terrestrial ecosystems of China: Results from upscaling network observations
Zhu, Xian-Jin ; Yu, Gui-Rui ; He, Hong-Lin ; Wang, Qiu-Feng ; Chen, Zhi ; Gao, Yan-Ni ; Zhang, Yi-Ping ; Zhang, Jun-Hui ; Yan, Jun-Hua ; Wang, Hui-Min ; Zhou, Guang-Sheng ; Jia, Bing-Rui ; Xiang, Wen-Hua ; Li, Ying-Nian ; Zhao, Liang ; Wang, Yan-Fen ; Shi, Pei-Li ; Chen, Shi-Ping ; Xin, Xiao-Ping ; Zhao, Feng-Hua ; Wang, Yu-Ying ; Tong, Cheng-Li ; Fu, Yu-Ling ; Wen, Xue-Fa ; Liu, Ying-Chun ; Zhang, Lei-Ming ; Zhang, Li ; Su, Wen ; Li, Sheng-Gong ; Sun, Xiao-Min
2014-07-01
Source PublicationGLOBAL AND PLANETARY CHANGE ; Zhu, XJ; Yu, GR; He, HL; Wang, QF; Chen, Z; Gao, YN; Zhang, YP; Zhang, JH; Yan, JH; Wang, HM; Zhou, GS; Jia, BR; Xiang, WH; Li, YN; Zhao, L; Wang, YF; Shi, PL; Chen, SP; Xin, XP; Zhao, FH; Wang, YY; Tong, CL; Fu, YL; Wen, XF; Liu, YC; Zhang, LM; Zhang, L; Su, W; Li, SG; Sun, XM.Geographical statistical assessments of carbon fluxes in terrestrial ecosystems of China: Results from upscaling network observations,GLOBAL AND PLANETARY CHANGE,2014,118():52
AbstractAccurate quantifying the magnitudes and distributions of carbon budgets is helpful for strategies in mitigating global climate change. Based on spatial patterns of carbon fluxes (gross ecosystem productivity (GEP), ecosystem respiration (ER) and net ecosystem productivity (NEP)) and their drivers, we constructed geographical statistical assessment schemes and quantified the magnitudes of carbon fluxes in China. The optimal assessment scheme was then validated with observed eddy covariance data to analyze the spatial distributions of carbon fluxes. Using climate-based geographical statistical assessment schemes, our estimates of GEP, ER and NEP in China during 2000s were 7.51 +/- 0.51, 5.82 +/- 0.16 and 1.91 +/- 0.15 PgC yr(-1), corresponding to 4.29%-6.80%, 5.65%-6.06% and 9.10%-12.73% of global annual carbon fluxes, respectively. The spatial distributions of GEP, ER and NEP, generated from the optimal scheme, were similar, following a southeast-northwest decreasing gradient. The maximum values for GEP, ER and NEP were 1790, 1300 and 490 gC m(-2) yr(-1), respectively, which occurred in Central subtropics and Southern subtropics. Climate-based geographical statistical assessment schemes provided an independent dataset for the regional carbon budget assessment, which can be deemed as the potential carbon fluxes. Meanwhile, most areas in China were potential carbon sink especially Eastern China and the largest potential carbon sink appeared in Central subtropics and Southern subtropics. (C) 2014 Elsevier B.V. All rights reserved.; Accurate quantifying the magnitudes and distributions of carbon budgets is helpful for strategies in mitigating global climate change. Based on spatial patterns of carbon fluxes (gross ecosystem productivity (GEP), ecosystem respiration (ER) and net ecosystem productivity (NEP)) and their drivers, we constructed geographical statistical assessment schemes and quantified the magnitudes of carbon fluxes in China. The optimal assessment scheme was then validated with observed eddy covariance data to analyze the spatial distributions of carbon fluxes. Using climate-based geographical statistical assessment schemes, our estimates of GEP, ER and NEP in China during 2000s were 7.51 +/- 0.51, 5.82 +/- 0.16 and 1.91 +/- 0.15 PgC yr(-1), corresponding to 4.29%-6.80%, 5.65%-6.06% and 9.10%-12.73% of global annual carbon fluxes, respectively. The spatial distributions of GEP, ER and NEP, generated from the optimal scheme, were similar, following a southeast-northwest decreasing gradient. The maximum values for GEP, ER and NEP were 1790, 1300 and 490 gC m(-2) yr(-1), respectively, which occurred in Central subtropics and Southern subtropics. Climate-based geographical statistical assessment schemes provided an independent dataset for the regional carbon budget assessment, which can be deemed as the potential carbon fluxes. Meanwhile, most areas in China were potential carbon sink especially Eastern China and the largest potential carbon sink appeared in Central subtropics and Southern subtropics. (C) 2014 Elsevier B.V. All rights reserved.
Document Type期刊论文
Identifierhttp://210.75.249.4/handle/363003/42465
Collection中国科学院西北高原生物研究所
Recommended Citation
GB/T 7714
Zhu, Xian-Jin,Yu, Gui-Rui,He, Hong-Lin,et al. Geographical statistical assessments of carbon fluxes in terrestrial ecosystems of China: Results from upscaling network observations[J]. GLOBAL AND PLANETARY CHANGE, Zhu, XJ; Yu, GR; He, HL; Wang, QF; Chen, Z; Gao, YN; Zhang, YP; Zhang, JH; Yan, JH; Wang, HM; Zhou, GS; Jia, BR; Xiang, WH; Li, YN; Zhao, L; Wang, YF; Shi, PL; Chen, SP; Xin, XP; Zhao, FH; Wang, YY; Tong, CL; Fu, YL; Wen, XF; Liu, YC; Zhang, LM; Zhang, L; Su, W; Li, SG; Sun, XM.Geographical statistical assessments of carbon fluxes in terrestrial ecosystems of China: Results from upscaling network observations,GLOBAL AND PLANETARY CHANGE,2014,118():52,2014.
APA Zhu, Xian-Jin.,Yu, Gui-Rui.,He, Hong-Lin.,Wang, Qiu-Feng.,Chen, Zhi.,...&Sun, Xiao-Min.(2014).Geographical statistical assessments of carbon fluxes in terrestrial ecosystems of China: Results from upscaling network observations.GLOBAL AND PLANETARY CHANGE.
MLA Zhu, Xian-Jin,et al."Geographical statistical assessments of carbon fluxes in terrestrial ecosystems of China: Results from upscaling network observations".GLOBAL AND PLANETARY CHANGE (2014).
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhu, Xian-Jin]'s Articles
[Yu, Gui-Rui]'s Articles
[He, Hong-Lin]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhu, Xian-Jin]'s Articles
[Yu, Gui-Rui]'s Articles
[He, Hong-Lin]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhu, Xian-Jin]'s Articles
[Yu, Gui-Rui]'s Articles
[He, Hong-Lin]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.