NWIPB OpenIR
Spatial patterns and climate drivers of carbon fluxes in terrestrial ecosystems of China
Yu, Gui-Rui1; Zhu, Xian-Jin1,2; Fu, Yu-Ling1; He, Hong-Lin1; Wang, Qiu-Feng1; Wen, Xue-Fa1; Li, Xuan-Ran1,2; Zhang, Lei-Ming1; Zhang, Li1; Su, Wen1; Li, Sheng-Gong1; Sun, Xiao-Min1; 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; Yu, GR (reprint author), Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Synth Res Ctr Chinese Ecosyst Res Network, Beijing 100101, Peoples R China.
2013-03-01
Source PublicationGLOBAL CHANGE BIOLOGY
ISSN1354-1013
Volume19Issue:3Pages:798-810
SubtypeArticle
AbstractUnderstanding 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.; 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.
KeywordChina Driving Force Ecosystem Respiration Gross Ecosystem Productivity Net Ecosystem Productivity Regional Carbon Budget Spatial Variation Terrestrial Ecosystems
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
DOI10.1111/gcb.12079
WOS KeywordLEYMUS-CHINENSIS STEPPE ; ENERGY-BALANCE CLOSURE ; EDDY COVARIANCE DATA ; WATER-VAPOR ; ENVIRONMENTAL CONTROLS ; GLOBAL DISTRIBUTION ; FOREST ECOSYSTEMS ; DIOXIDE EXCHANGE ; EUROPEAN FORESTS ; TIBETAN PLATEAU
Indexed BySCI
Language英语
Funding OrganizationNational Key Research and Development Program(2010CB833504) ; CAS Strategic Priority Research Program(XDA05050602) ; National Natural Science Foundation of China(31290220 ; 30900198)
WOS Research AreaBiodiversity & Conservation ; Environmental Sciences & Ecology
WOS SubjectBiodiversity Conservation ; Ecology ; Environmental Sciences
WOS IDWOS:000314219700012
Citation statistics
Cited Times:125[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://210.75.249.4/handle/363003/3959
Collection中国科学院西北高原生物研究所
Corresponding AuthorYu, GR (reprint author), Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Synth Res Ctr Chinese Ecosyst Res Network, Beijing 100101, Peoples R China.
Affiliation1.Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, 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, S 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 S Univ Forestry & Technol, Fac Life Sci & Technol, Changsha 410004, Peoples R China
8.Chinese Acad Sci, NW Plateau Inst 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
Yu, Gui-Rui,Zhu, Xian-Jin,Fu, Yu-Ling,et al. Spatial patterns and climate drivers of carbon fluxes in terrestrial ecosystems of China[J]. GLOBAL CHANGE BIOLOGY,2013,19(3):798-810.
APA Yu, Gui-Rui.,Zhu, Xian-Jin.,Fu, Yu-Ling.,He, Hong-Lin.,Wang, Qiu-Feng.,...&Yu, GR .(2013).Spatial patterns and climate drivers of carbon fluxes in terrestrial ecosystems of China.GLOBAL CHANGE BIOLOGY,19(3),798-810.
MLA Yu, Gui-Rui,et al."Spatial patterns and climate drivers of carbon fluxes in terrestrial ecosystems of China".GLOBAL CHANGE BIOLOGY 19.3(2013):798-810.
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