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Satellite-Based Analysis of Evapotranspiration and Water Balance in the Grassland Ecosystems of Dryland East Asia.

Authors :
Xia, Jiangzhou
Liang, Shunlin
Chen, Jiquan
Yuan, Wenping
Liu, Shuguang
Li, Linghao
Cai, Wenwen
Zhang, Li
Fu, Yang
Zhao, Tianbao
Feng, Jinming
Ma, Zhuguo
Ma, Mingguo
Liu, Shaomin
Zhou, Guangsheng
Asanuma, Jun
Chen, Shiping
Du, Mingyuan
Davaa, Gombo
Kato, Tomomichi
Source :
PLoS ONE. May2014, Vol. 9 Issue 5, p1-11. 11p.
Publication Year :
2014

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19326203
Volume :
9
Issue :
5
Database :
Academic Search Index
Journal :
PLoS ONE
Publication Type :
Academic Journal
Accession number :
96283293
Full Text :
https://doi.org/10.1371/journal.pone.0097295