IGSNRR OpenIR
Spatio-temporal variations in water use efficiency and its drivers in China over the last three decades
Sun, Shaobo1; Song, Zhaoliang1; Wu, Xiuchen2,3; Wang, Tiejun1; Wu, Yuntao1; Du, Wenli1; Che, Tao4,5; Huang, Chunlin4,5; Zhang, Xuejun6; Ping, Bo1; Lin, Xiaofeng5,7; Li, Pan5,8; Yang, Yaoxian5,9; Chen, Baozhang5,7
2018-11-01
Source PublicationECOLOGICAL INDICATORS
ISSN1470-160X
Volume94Pages:292-304
Corresponding AuthorSong, Zhaoliang(zhaoliang.song@tju.edu.cn) ; Chen, Baozhang(baozhang.chen@igsnrr.ac.cn)
AbstractEcosystem water use efficiency (WUE) reflects the intimately coupled relationship between the carbon and water cycles in terrestrial ecosystems. However, the inter-annual variation and its drivers of WUE are poorly understood at regional/global scale, due to either limited data availability or uncertainties in current data streams. In this study, we used process-based models simulated gross primary productivity (GPP) and evapotranspiration (ET) data to estimate the ecosystem WUE (eWUE, GPP/ET) in China for 1979-2012. The eWUE estimates were validated against eddy covariance-based values from 35 flux towers. The inter-annual variation of the eWUE was quantified and its responses to annual precipitation (AP), annual mean temperature (AMT), and annual mean leaf area index (AMLAI) were analyzed. The key findings were as follows. (i) The mean annual eWUE over China was 1.48 +/- 1.04 g C kg(-1) H2O and had a slightly increasing but not significant trend (7.32 x 10(-4)g C kg(-1) H2O yr(-1), p < 0.05) from 1979 to 2012. (ii) The spatial distribution of the eWUE trend showed large spatial variability. similar to 21.4% and similar to 19.0% of vegetated land in China had significant increasing and decreasing trends (Mann-Kendall test, p < 0.1), respectively. The increasing eWUE was mainly found in the northeast, southwest, and central areas of China, while the decreasing eWUE was mostly distributed in west China. (iii) The inter annual variation of the spatially averaged annual eWUE was negatively correlated with that of AP and AMT, and positively correlated with that of AMLAI. In similar to 41.4%, similar to 9.9%, and similar to 3.1% of vegetated land in China the inter annual variation of eWUE was dominated by the inter-annual variations of AP, AMT, and AMLAI, respectively. In most land of north China and west China the inter-annual variation of eWUE was dominated by the inter-annual variation of AP, while in central, east and south China all the AP, AMT, AMLAI, and other drivers played important roles.
KeywordWater use efficiency (WUE) Process-based model Gross primary productivity (GPP) Evapotranspiration (ET) Inter-annual variation
DOI10.1016/j.ecolind.2018.07.003
WOS KeywordGROSS PRIMARY PRODUCTION ; TERRESTRIAL ECOSYSTEMS ; EDDY-COVARIANCE ; PRIMARY PRODUCTIVITY ; CARBON FLUXES ; CO2 EXCHANGE ; CLIMATE ; EVAPOTRANSPIRATION ; MODEL ; MODIS
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41522207] ; National Natural Science Foundation of China[41571130042] ; National Natural Science Foundation of China[41271116] ; National Natural Science Foundation of China[41881114] ; State's Key Project of Research and Development Plan of China[2016YFA0601002]
Funding OrganizationNational Natural Science Foundation of China ; State's Key Project of Research and Development Plan of China
WOS Research AreaBiodiversity & Conservation ; Environmental Sciences & Ecology
WOS SubjectBiodiversity Conservation ; Environmental Sciences
WOS IDWOS:000452692500030
PublisherELSEVIER SCIENCE BV
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/51348
Collection中国科学院地理科学与资源研究所
Corresponding AuthorSong, Zhaoliang; Chen, Baozhang
Affiliation1.Tianjin Univ, Inst Surface Earth Syst Sci, Tianjin 300072, Peoples R China
2.Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
3.Beijing Normal Univ, Fac Geog Sci, Beijing 100875, Peoples R China
4.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Heihe Remote Sensing Expt Res Stn, Lanzhou 730000, Gansu, Peoples R China
5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
7.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
8.Chinese Acad Sci, Inst Geochem, State Key Lab Environm Geochem, Guiyang 550081, Guizhou, Peoples R China
9.Chinese Acad Sci, Inst Atmospher Phys, Stare Key Lab Numer Modeling Atmospher Sci & Geop, Beijing 100029, Peoples R China
Recommended Citation
GB/T 7714
Sun, Shaobo,Song, Zhaoliang,Wu, Xiuchen,et al. Spatio-temporal variations in water use efficiency and its drivers in China over the last three decades[J]. ECOLOGICAL INDICATORS,2018,94:292-304.
APA Sun, Shaobo.,Song, Zhaoliang.,Wu, Xiuchen.,Wang, Tiejun.,Wu, Yuntao.,...&Chen, Baozhang.(2018).Spatio-temporal variations in water use efficiency and its drivers in China over the last three decades.ECOLOGICAL INDICATORS,94,292-304.
MLA Sun, Shaobo,et al."Spatio-temporal variations in water use efficiency and its drivers in China over the last three decades".ECOLOGICAL INDICATORS 94(2018):292-304.
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