Remotely Monitoring Ecosystem Water Use Efficiency of Grassland and Cropland in China's Arid and Semi-Arid Regions with MODIS Data
文献类型：期刊论文
| 作者 | Tang, Xuguang1,3; Ma, Mingguo1; Ding, Zhi3; Xu, Xibao2; Yao, Li1; Huang, Xiaojuan1; Gu, Qing1; Song, Lisheng1 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2017-06-01 |
| 卷号 | 9期号:6页码:17 |
| 关键词 | water use efficiency eddy covariance technique MODIS grassland cropland |
| ISSN号 | 2072-4292 |
| DOI | 10.3390/rs9060616 |
| 通讯作者 | Tang, Xuguang(xgtang@swu.edu.cn) ; Song, Lisheng(songls@swu.edu.cn) |
| 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. |
| 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 |
| 资助项目 | National 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] |
| WOS研究方向 | Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000404623900107 |
| 出版者 | MDPI AG |
| 资助机构 | National 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 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/62895]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Tang, Xuguang; Song, Lisheng |
| 作者单位 | 1.Southwest Univ, Chongqing Key Lab Karst Environm, Sch Geog Sci, Chongqing 400715, Peoples R China 2.Chinese Acad Sci, Nanjing Inst Geog & Limnol, Nanjing 210008, Jiangsu, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。