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Maximum carbon uptake rate dominates the interannual variability of global net ecosystem exchange
Fu, Zheng1,2; Stoy, Paul C.3; Poulter, Benjamin4; Gerken, Tobias5; Zhang, Zhen6; Wakbulcho, Guta3; Niu, Shuli1,2
2019-07-11
Source PublicationGLOBAL CHANGE BIOLOGY
ISSN1354-1013
Pages14
Corresponding AuthorNiu, Shuli(sniu@igsnrr.ac.cn)
AbstractTerrestrial ecosystems contribute most of the interannual variability (IAV) in atmospheric carbon dioxide (CO2) concentrations, but processes driving the IAV of net ecosystem CO2 exchange (NEE) remain elusive. For a predictive understanding of the global C cycle, it is imperative to identify indicators associated with ecological processes that determine the IAV of NEE. Here, we decompose the annual NEE of global terrestrial ecosystems into their phenological and physiological components, namely maximum carbon uptake (MCU) and release (MCR), the carbon uptake period (CUP), and two parameters, alpha and beta, that describe the ratio between actual versus hypothetical maximum C sink and source, respectively. Using long-term observed NEE from 66 eddy covariance sites and global products derived from FLUXNET observations, we found that the IAV of NEE is determined predominately by MCU at the global scale, which explains 48% of the IAV of NEE on average while alpha, CUP, beta, and MCR explain 14%, 25%, 2%, and 8%, respectively. These patterns differ in water-limited ecosystems versus temperature- and radiation-limited ecosystems; 31% of the IAV of NEE is determined by the IAV of CUP in water-limited ecosystems, and 60% of the IAV of NEE is determined by the IAV of MCU in temperature- and radiation-limited ecosystems. The Lund-Potsdam-Jena (LPJ) model and the Multi-scale Synthesis and Terrestrial Model Inter-comparison Project (MsTMIP) models underestimate the contribution of MCU to the IAV of NEE by about 18% on average, and overestimate the contribution of CUP by about 25%. This study provides a new perspective on the proximate causes of the IAV of NEE, which suggest that capturing the variability of MCU is critical for modeling the IAV of NEE across most of the global land surface.
Keywordcarbon uptake period interannual variability maximum carbon uptake rate net ecosystem exchange phenology physiology
DOI10.1111/gcb.14731
WOS KeywordGROSS PRIMARY PRODUCTIVITY ; MODEL INTERCOMPARISON PROJECT ; PROGRAM MULTISCALE SYNTHESIS ; PLANT PHENOLOGY ; SEMIARID ECOSYSTEMS ; CO2 ; CLIMATE ; FLUXES ; FOREST ; RESPIRATION
Indexed BySCI
Language英语
Funding ProjectNational Key R&D Program of China[2018YFA0606102] ; National Natural Science Foundation of China[31625006] ; Chinese Academy of Sciences[131A11KYSB20180010] ; Gordon and Betty Moore Foundation[GBMF5439] ; NASA Terrestrial Ecology Program ; National Science Foundation[DEB 1552976] ; National Science Foundation[OIA 1632810] ; National Science Foundation[EF 1702029] ; USDA-NIFA[228396]
Funding OrganizationNational Key R&D Program of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences ; Gordon and Betty Moore Foundation ; NASA Terrestrial Ecology Program ; National Science Foundation ; USDA-NIFA
WOS Research AreaBiodiversity & Conservation ; Environmental Sciences & Ecology
WOS SubjectBiodiversity Conservation ; Ecology ; Environmental Sciences
WOS IDWOS:000474873300001
PublisherWILEY
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/58540
Collection中国科学院地理科学与资源研究所
Corresponding AuthorNiu, Shuli
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
3.Montana State Univ, Dept Land Resources & Environm Sci, Bozeman, MT 59717 USA
4.NASA, Biospher Sci Lab, Goddard Space Flight Ctr, Greenbelt, MD USA
5.Penn State Univ, Dept Meteorol & Atmospher Sci, University Pk, PA 16802 USA
6.Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA
Recommended Citation
GB/T 7714
Fu, Zheng,Stoy, Paul C.,Poulter, Benjamin,et al. Maximum carbon uptake rate dominates the interannual variability of global net ecosystem exchange[J]. GLOBAL CHANGE BIOLOGY,2019:14.
APA Fu, Zheng.,Stoy, Paul C..,Poulter, Benjamin.,Gerken, Tobias.,Zhang, Zhen.,...&Niu, Shuli.(2019).Maximum carbon uptake rate dominates the interannual variability of global net ecosystem exchange.GLOBAL CHANGE BIOLOGY,14.
MLA Fu, Zheng,et al."Maximum carbon uptake rate dominates the interannual variability of global net ecosystem exchange".GLOBAL CHANGE BIOLOGY (2019):14.
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