Spatio-temporal characteristics of evapotranspiration and water use efficiency in grasslands of Xinjiang

2017 ◽  
Vol 41 (5) ◽  
pp. 506-518 ◽  
Author(s):  
HUANG Xiao-Tao ◽  
◽  
LUO Ge-Ping
2019 ◽  
Vol 39 (4) ◽  
Author(s):  
赵安周 ZHAO Anzhou ◽  
张安兵 ZHANG Anbing ◽  
冯莉莉 FENG Lili ◽  
王冬利 WANG Dongli ◽  
承达瑜 CHENG Dayu

2018 ◽  
Vol 38 (17) ◽  
Author(s):  
王芳 WANG Fang ◽  
汪左 WANG Zuo ◽  
黄静 HUANG Jing ◽  
杨淑杰 YANG Shujie ◽  
贺广均 HE Guangjun ◽  
...  

2018 ◽  
Vol 94 ◽  
pp. 292-304 ◽  
Author(s):  
Shaobo Sun ◽  
Zhaoliang Song ◽  
Xiuchen Wu ◽  
Tiejun Wang ◽  
Yuntao Wu ◽  
...  

Sensors ◽  
2019 ◽  
Vol 19 (6) ◽  
pp. 1481 ◽  
Author(s):  
Hang Qi ◽  
Fang Huang ◽  
Huan Zhai

Soil water use efficiency (SWUE) was proposed as an effective proxy of ecosystem water use efficiency (WUE), which reflects the coupling of the carbon–water cycle and function of terrestrial ecosystems. The changes of ecosystem SWUE at the regional scale and their relationships with the environmental and biotic factors are yet to be adequately understood. Here, we aim to estimate SWUE over northeast China using time-series Moderate Resolution Imaging Spectroradiometer (MODIS) gross primary productivity data and European Space Agency climate change initiative (ESA CCI) soil moisture product during 2007–2015. The spatio-temporal variations in SWUE and their linkages to multiple factors, especially the phenological metrics, were investigated using trend and correlation analysis. The results showed that the spatial heterogeneity of ecosystem SWUE in northeast China was obvious. SWUE distribution varied among vegetation types, soil types, and elevation. Forests might produce higher photosynthetic productivity by utilizing unit soil moisture. The seasonal variations of SWUE were consistent with the vegetation growth cycle. Changes in normalized difference vegetation index (NDVI), land surface temperature, and precipitation exerted positive effects on SWUE variations. The earlier start (SOS) and later end (EOS) of the growing season would contribute to the increase in SWUE. Our results help complement the knowledge of SWUE variations and their driving forces.


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