globalchange  > 过去全球变化的重建
DOI: 10.1371/journal.pone.0097295
论文题名:
Satellite-Based Analysis of Evapotranspiration and Water Balance in the Grassland Ecosystems of Dryland East Asia
作者: Jiangzhou Xia; Shunlin Liang; Jiquan Chen; Wenping Yuan; Shuguang Liu; Linghao Li; Wenwen Cai; Li Zhang; Yang Fu; Tianbao Zhao; Jinming Feng; Zhuguo Ma; Mingguo Ma; Shaomin Liu; Guangsheng Zhou; Jun Asanuma; Shiping Chen; Mingyuan Du; Gombo Davaa; Tomomichi Kato; Qiang Liu; Suhong Liu; Shenggong Li; Changliang Shao; Yanhong Tang; Xiang Zhao
刊名: PLOS ONE
ISSN: 1932-6203
出版年: 2014
发表日期: 2014-5-20
卷: 9, 期:5
语种: 英语
英文关键词: Grasslands ; Mongolia ; Meteorology ; Ecosystems ; Seasons ; Humidity ; Solar radiation ; Decision trees
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.
URL: http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0097295&type=printable
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/18373
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响

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作者单位: State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing and Digital Earth, Chinese Academic of Sciences, Beijing, China;College of Global Change and Earth System Science, Beijing Normal University, Beijing, China;State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing and Digital Earth, Chinese Academic of Sciences, Beijing, China;College of Global Change and Earth System Science, Beijing Normal University, Beijing, China;Department of Geographical Sciences, University of Maryland, College Park, Maryland, United States of America;International Center for Ecology, Meteorology and Environment (IceMe), School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, China;State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China;State Engineering Laboratory of Southern Forestry Applied Ecology and Technology, Central South University of Forestry and Technology, Changsha, Hunan, China;State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China;State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China;Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China;State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China;Key Laboratory of Regional Climate-Environment Research for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China;College of Global Change and Earth System Science, Beijing Normal University, Beijing, China;Key Laboratory of Regional Climate-Environment Research for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China;Key Laboratory of Regional Climate-Environment Research for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China;Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, Gansu, China;State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing and Digital Earth, Chinese Academic of Sciences, Beijing, China;School of Geography, Beijing Normal University, Beijing, China;State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China;Chinese Academy of Meteorological Sciences, Beijing, China;Center for Research in Isotopes and Environmental Dynamics, University of Tsukuba, Tsukuba, Ibaraki, Japan;State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China;Department of Agro-Meteorology, National Institute for Agro-Environmental Sciences, Tsukuba, Ibaraki, Japan;Institute of Meteorology and Hydrology, Juulchin, Ulaanbaatar, Mongolia;Research Faculty of Agriculture, Hokkaido University, Sapporo, Hokkaido, Japan;State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing and Digital Earth, Chinese Academic of Sciences, Beijing, China;College of Global Change and Earth System Science, Beijing Normal University, Beijing, China;State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing and Digital Earth, Chinese Academic of Sciences, Beijing, China;School of Geography, Beijing Normal University, Beijing, China;Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China;State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China;Center for Environmental Biology and Ecosystem Studies, National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan;State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing and Digital Earth, Chinese Academic of Sciences, Beijing, China;College of Global Change and Earth System Science, Beijing Normal University, Beijing, China

Recommended Citation:
Jiangzhou Xia,Shunlin Liang,Jiquan Chen,et al. Satellite-Based Analysis of Evapotranspiration and Water Balance in the Grassland Ecosystems of Dryland East Asia[J]. PLOS ONE,2014-01-01,9(5)
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