中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Satellite-Based Analysis of Evapotranspiration and Water Balance in the Grassland Ecosystems of Dryland East Asia

文献类型:期刊论文

作者Xia, Jiangzhou1,2; Liang, Shunlin1,2,3; Chen, Jiquan4; Yuan, Wenping5; Liu, Shuguang6; Li, Linghao7; Cai, Wenwen5; Zhang, Li8; Fu, Yang5; Zhao, Tianbao9
刊名PLOS ONE
出版日期2014
卷号9期号:5
ISSN号1932-6203
DOI10.1371/journal.pone.0097295
文献子类Article
英文摘要The regression tree method is used to upscale evapotranspiration (ET) measurements at eddy-covariance (EC) towers to the grassland ecosystems over the Dryland East Asia (DEA). The regression tree model was driven by satellite and meteorology datasets, and explained 82% and 76% of the variations of ET observations in the calibration and validation datasets, respectively. The annual ET estimates ranged from 222.6 to 269.1 mm yr(-1) over the DEA region with an average of 245.8 mm yr(-1) from 1982 through 2009. Ecosystem ET showed decreased trends over 61% of the DEA region during this period, especially in most regions of Mongolia and eastern Inner Mongolia due to decreased precipitation. The increased ET occurred primarily in the western and southern DEA region. Over the entire study area, water balance (the difference between precipitation and ecosystem ET) decreased substantially during the summer and growing season. Precipitation reduction was an important cause for the severe water deficits. The drying trend occurring in the grassland ecosystems of the DEA region can exert profound impacts on a variety of terrestrial ecosystem processes and functions.
学科主题Multidisciplinary Sciences
出版地SAN FRANCISCO
WOS关键词GROSS PRIMARY PRODUCTION ; NET PRIMARY PRODUCTION ; MONGOLIAN PLATEAU ; LAND-COVER ; CLIMATE ; MODIS ; CHINA ; PRECIPITATION ; IMPROVEMENTS ; DROUGHTS
WOS研究方向Science & Technology - Other Topics
语种英语
WOS记录号WOS:000339563400018
出版者PUBLIC LIBRARY SCIENCE
资助机构National High-Technology Research and Development Program of China [2013AA122800] ; Freedom Project of the State Key Laboratory of Cryospheric Sciences [SKLCS-ZZ-2013-2-2] ; Chinese Academy of Sciences ; National Science Foundation for Excellent Young Scholars of China [41322005] ; Program for New Century Excellent Talents in University [NCET-12-0060] ; NASA-NEWS Program [NN-H-04-Z-YS-005-N] ; Cold and Arid Regions Environmental and Engineering Research Institute
源URL[http://ir.ibcas.ac.cn/handle/2S10CLM1/27351]  
专题植被与环境变化国家重点实验室
作者单位1.Beijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing, Peoples R China
2.Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R China
3.Beijing Normal Univ, Coll Global Change & Earth Syst Sci, Beijing 100875, Peoples R China
4.Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA
5.Nanjing Univ Informat Sci & Technol, Int Ctr Ecol Meteorol & Environm IceMe, Sch Appl Meteorol, Nanjing, Jiangsu, Peoples R China
6.Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
7.Cent South Univ Forestry & Technol, State Engn Lab Southern Forestry Appl Ecol & Tech, Changsha, Hunan, Peoples R China
8.Chinese Acad Sci, State Key Lab Vegetat & Environm Change, Inst Bot, Beijing, Peoples R China
9.Chinese Acad Sci, Key Lab Digital Earth Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R China
10.Chinese Acad Sci, Inst Atmospher Phys, Key Lab Reg Climate Environm Res Temperate East A, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Xia, Jiangzhou,Liang, Shunlin,Chen, Jiquan,et al. Satellite-Based Analysis of Evapotranspiration and Water Balance in the Grassland Ecosystems of Dryland East Asia[J]. PLOS ONE,2014,9(5).
APA Xia, Jiangzhou.,Liang, Shunlin.,Chen, Jiquan.,Yuan, Wenping.,Liu, Shuguang.,...&Zhao, Xiang.(2014).Satellite-Based Analysis of Evapotranspiration and Water Balance in the Grassland Ecosystems of Dryland East Asia.PLOS ONE,9(5).
MLA Xia, Jiangzhou,et al."Satellite-Based Analysis of Evapotranspiration and Water Balance in the Grassland Ecosystems of Dryland East Asia".PLOS ONE 9.5(2014).

入库方式: OAI收割

来源:植物研究所

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