NWIPB OpenIR
Geographical statistical assessments of carbon fluxes in terrestrial ecosystems of China: Results from upscaling network observations
Zhu, Xian-Jin1; Yu, Gui-Rui1; He, Hong-Lin1; Wang, Qiu-Feng1; Chen, Zhi1; Gao, Yan-Ni1; Zhang, Yi-Ping3; Zhang, Jun-Hui4; Yan, Jun-Hua5; Wang, Hui-Min1; Zhou, Guang-Sheng6; Jia, Bing-Rui6; Xiang, Wen-Hua7; Li, Ying-Nian8; Zhao, Liang8; Wang, Yan-Fen2; Shi, Pei-Li1; Chen, Shi-Ping6; Xin, Xiao-Ping9; Zhao, Feng-Hua1; Wang, Yu-Ying10; Tong, Cheng-Li11; Fu, Yu-Ling1; Wen, Xue-Fa1; Liu, Ying-Chun1,2; Zhang, Lei-Ming1; Zhang, Li1; Su, Wen1; Li, Sheng-Gong1; Sun, Xiao-Min1
2014-07-01
Source PublicationGLOBAL AND PLANETARY CHANGE
ISSN0921-8181
Volume118Pages:52-61
SubtypeArticle
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.
KeywordEddy Covariance Gross Ecosystem Productivity Net Ecosystem Productivity Ecosystem Respiration Carbon Budget Assessment Potential Carbon Sink
WOS HeadingsScience & Technology ; Physical Sciences
WOS KeywordGROSS PRIMARY PRODUCTION ; NET PRIMARY PRODUCTION ; ATMOSPHERIC CO2 ; INTERANNUAL VARIABILITY ; SPATIAL-PATTERNS ; DIOXIDE UPTAKE ; CLIMATE ; MODEL ; LAND ; PRODUCTIVITY
Indexed BySCI
Language英语
WOS Research AreaPhysical Geography ; Geology
WOS SubjectGeography, Physical ; Geosciences, Multidisciplinary
WOS IDWOS:000337875900005
Citation statistics
Cited Times:16[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://210.75.249.4/handle/363003/4217
Collection中国科学院西北高原生物研究所
Affiliation1.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
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Xishuangbanna Trop Bot Garden, Key Lab Trop Forest Ecol, Menglun 666303, Peoples R China
4.Chinese Acad Sci, Inst Appl Ecol, Shenyang 110016, Peoples R China
5.Chinese Acad Sci, South China Bot Garden, Guangzhou 510650, Guangdong, Peoples R China
6.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China
7.Cent South Univ Forestry & Technol, Fac Life Sci & Technol, Changsha 410004, Hunan, Peoples R China
8.Chinese Acad Sci, Northwest Inst Plateau Biol, Xining 810001, Peoples R China
9.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China
10.Chinese Acad Sci, Inst Genet & Dev Biol, Ctr Agr Resources Res, Shijiazhuang 050021, Peoples R China
11.Chinese Acad Sci, Inst Subtrop Agr, Changsha 410125, Hunan, Peoples R China
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,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.
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