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Remotely Monitoring Ecosystem Water Use Efficiency of Grassland and Cropland in China's Arid and Semi-Arid Regions with MODIS Data
Tang, Xuguang1,2; Ma, Mingguo1; Ding, Zhi2; Xu, Xibao3; Yao, Li1; Huang, Xiaojuan1; Gu, Qing1; Song, Lisheng1
2017-06-01
Source PublicationREMOTE SENSING
ISSN2072-4292
Volume9Issue:6Pages:17
Corresponding AuthorTang, Xuguang(xgtang@swu.edu.cn) ; Song, Lisheng(songls@swu.edu.cn)
AbstractScarce water resources are available in the arid and semi-arid areas of Northwest China, where significant water-related challenges will be faced in the coming decades. Quantitative evaluations of the spatio-temporal dynamics in ecosystem water use efficiency (WUE), as well as the underlying environmental controls, are crucial for predicting future climate change impacts on ecosystem carbon-water interactions and agricultural production. However, these questions remain poorly understood in this typical region. By means of continuous eddy covariance (EC) measurements and time-series MODIS data, this study revealed the distinct seasonal cycles in gross primary productivity (GPP), evapotranspiration (ET), and WUE for both grassland and cropland ecosystems, and the dominant climate factors performed jointly by temperature and precipitation. The MODIS WUE estimates from GPP and ET products can capture the broad trend in WUE variability of grassland, but with large biases for maize cropland, which was mainly ascribed to large uncertainties resulting from both GPP and ET algorithms. Given the excellent biophysical performance of the MODIS-derived enhanced vegetation index (EVI), a new greenness model (GR) was proposed to track the eight-day changes in ecosystem WUE. Seasonal variations and the scatterplots between EC-based WUE and the estimates from time-series EVI data (WUEGR) also certified its prediction accuracy with R-2 and RMSE of both grassland and cropland ecosystems over 0.90 and less than 0.30 g kg(-1), respectively. The application of the GR model to regional scales in the near future will provide accurate WUE information to support water resource management in dry regions around the world.
Keywordwater use efficiency eddy covariance technique MODIS grassland cropland
DOI10.3390/rs9060616
WOS KeywordGROSS PRIMARY PRODUCTION ; NET PRIMARY PRODUCTION ; EDDY-COVARIANCE ; FOREST ECOSYSTEMS ; UNITED-STATES ; EVAPOTRANSPIRATION ALGORITHM ; TERRESTRIAL ECOSYSTEMS ; SPATIAL VARIABILITY ; VEGETATION INDEXES ; TEMPERATE STEPPE
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41401221] ; National Natural Science Foundation of China[41371532] ; Interdisciplinary Frontier Project of Nanjing Institute of Geography and Limnology, CAS[NIGLAS2016QY02] ; Fundamental Research Funds for the Central Universities in China[SWU116088] ; China Postdoctoral Science Foundation[2017M610109]
Funding OrganizationNational Natural Science Foundation of China ; Interdisciplinary Frontier Project of Nanjing Institute of Geography and Limnology, CAS ; Fundamental Research Funds for the Central Universities in China ; China Postdoctoral Science Foundation
WOS Research AreaRemote Sensing
WOS SubjectRemote Sensing
WOS IDWOS:000404623900107
PublisherMDPI AG
Citation statistics
Cited Times:7[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/62896
Collection中国科学院地理科学与资源研究所
Corresponding AuthorTang, Xuguang; Song, Lisheng
Affiliation1.Southwest Univ, Chongqing Key Lab Karst Environm, Sch Geog Sci, Chongqing 400715, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
3.Chinese Acad Sci, Nanjing Inst Geog & Limnol, Nanjing 210008, Jiangsu, Peoples R China
Recommended Citation
GB/T 7714
Tang, Xuguang,Ma, Mingguo,Ding, Zhi,et al. Remotely Monitoring Ecosystem Water Use Efficiency of Grassland and Cropland in China's Arid and Semi-Arid Regions with MODIS Data[J]. REMOTE SENSING,2017,9(6):17.
APA Tang, Xuguang.,Ma, Mingguo.,Ding, Zhi.,Xu, Xibao.,Yao, Li.,...&Song, Lisheng.(2017).Remotely Monitoring Ecosystem Water Use Efficiency of Grassland and Cropland in China's Arid and Semi-Arid Regions with MODIS Data.REMOTE SENSING,9(6),17.
MLA Tang, Xuguang,et al."Remotely Monitoring Ecosystem Water Use Efficiency of Grassland and Cropland in China's Arid and Semi-Arid Regions with MODIS Data".REMOTE SENSING 9.6(2017):17.
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