Geographical statistical assessments of carbon fluxes in terrestrial ecosystems of China: Results from upscaling network observations

doi:10.1016/j.gloplacha.2014.04.003

	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 27; 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
发表期刊	GLOBAL AND PLANETARY CHANGE
ISSN	0921-8181
卷号	118 页码:52-61
摘要	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.
关键词	eddy covariance gross ecosystem productivity net ecosystem productivity ecosystem respiration carbon budget assessment potential carbon sink
学科领域	Geography, Physical ; Geosciences, Multidisciplinary
DOI	10.1016/j.gloplacha.2014.04.003
收录类别	SCI
语种	英语
WOS关键词	ATMOSPHERIC CO2 ; INTERANNUAL VARIABILITY ; SPATIAL-PATTERNS ; DIOXIDE UPTAKE ; MODEL ; LAND ; PRODUCTIVITY ; RESPIRATION ; BALANCE ; DRIVEN
WOS研究方向	Physical Geography ; Geology
WOS记录号	WOS:000337875900005
出版者	ELSEVIER
文献子类	Article
出版地	AMSTERDAM
EISSN	1872-6364
资助机构	National Key Research and Development Program [2010CB833504] ; CAS Strategic Priority Research Program [XDA05050602] ; National Natural Science Foundation of China [31290220]
作者邮箱	yugr@igsnrr.ac.cn
引用统计	被引频次：38[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ibcas.ac.cn/handle/2S10CLM1/27238
专题	植被与环境变化国家重点实验室
作者单位	1.[Zhu, Xian-Jin 2.Yu, Gui-Rui 3.He, Hong-Lin 4.Wang, Qiu-Feng 5.Chen, Zhi 6.Gao, Yan-Ni 7.Wang, Hui-Min 8.Shi, Pei-Li 9.Zhao, Feng-Hua 10.Fu, Yu-Ling 11.Wen, Xue-Fa 12.Liu, Ying-Chun 13.Zhang, Lei-Ming 14.Zhang, Li 15.Su, Wen 16.Li, Sheng-Gong 17.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Synth Res Ctr,Chinese Ecosyst Res Network, Beijing 100101, Peoples R China 18.[Wang, Yan-Fen 19.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 20.Chinese Acad Sci, Xishuangbanna Trop Bot Garden, Key Lab Trop Forest Ecol, Menglun 666303, Peoples R China 21.Chinese Acad Sci, Inst Appl Ecol, Shenyang 110016, Peoples R China 22.Chinese Acad Sci, South China Bot Garden, Guangzhou 510650, Guangdong, Peoples R China 23.[Zhou, Guang-Sheng 24.Jia, Bing-Rui 25.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China 26.Cent South Univ Forestry & Technol, Fac Life Sci & Technol, Changsha 410004, Hunan, Peoples R China 27.[Li, Ying-Nian 28.Chinese Acad Sci, Northwest Inst Plateau Biol, Xining 810001, Peoples R China 29.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China 30.Chinese Acad Sci, Inst Genet & Dev Biol, Ctr Agr Resources Res, Shijiazhuang 050021, Peoples R China 31.Chinese Acad Sci, Inst Subtrop Agr, Changsha 410125, Hunan, Peoples R China
推荐引用方式 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,2014,118:52-61.
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,118,52-61.
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 118(2014):52-61.

条目包含的文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
Geographical_statist（3091KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	浏览请求全文