Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/rs9060616 |
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 | |
通讯作者 | Tang, Xuguang ; Song, Lisheng |
来源期刊 | REMOTE SENSING |
ISSN | 2072-4292 |
出版年 | 2017 |
卷号 | 9期号:6 |
英文摘要 | Scarce 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. |
英文关键词 | water use efficiency eddy covariance technique MODIS grassland cropland |
类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
收录类别 | SCI-E |
WOS记录号 | WOS:000404623900107 |
WOS关键词 | GROSS PRIMARY PRODUCTION ; NET PRIMARY PRODUCTION ; EDDY-COVARIANCE ; FOREST ECOSYSTEMS ; UNITED-STATES ; EVAPOTRANSPIRATION ALGORITHM ; TERRESTRIAL ECOSYSTEMS ; SPATIAL VARIABILITY ; VEGETATION INDEXES ; TEMPERATE STEPPE |
WOS类目 | Remote Sensing |
WOS研究方向 | Remote Sensing |
来源机构 | 中国科学院地理科学与资源研究所 |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/201946 |
作者单位 | 1.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 |
推荐引用方式 GB/T 7714 | Tang, Xuguang,Ma, Mingguo,Ding, Zhi,等. Remotely Monitoring Ecosystem Water Use Efficiency of Grassland and Cropland in China’s Arid and Semi-Arid Regions with MODIS Data[J]. 中国科学院地理科学与资源研究所,2017,9(6). |
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). |
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). |
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