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Updated: May 14, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
Water Use Efficiency Spatiotemporal Change and Its Driving Analysis on the Mongolian Plateau
Gesi Tang1,2, Yulong Bao1,2, Changqing Sun1,2,3,4
1College of Geographical Science, Inner Mongolia Normal University, Hohhot 010022, China.
Water use efficiency (WUE) in the Mongolian Plateau declined in over 27% of the region from 1982-2018. While resilient to water disturbances, WUE showed weak resistance to temperature and drought anomalies, with human activities boosting efficiency in some areas.
Area of Science:
- Ecology
- Environmental Science
- Remote Sensing
Background:
- Water use efficiency (WUE) is crucial for understanding carbon and water cycles in terrestrial ecosystems.
- Evaluating long-term temporal and spatial changes in WUE is essential for ecosystem management.
Purpose of the Study:
- To analyze the spatiotemporal variation characteristics of WUE on the Mongolian Plateau from 1982 to 2018.
- To identify the influencing factors on WUE, including climate and vegetation changes.
Main Methods:
- Utilized remote sensing data to assess net primary productivity (NPP) and evapotranspiration (ET).
- Applied various statistical methods to analyze WUE patterns and correlations with precipitation, soil moisture, temperature, and drought severity index (DSI).
- Investigated the impact of vegetation phenology and human activities on WUE.
Main Results:
- A significant decline in annual WUE was observed in 27.02% of the Mongolian Plateau over 37 years.
- Two abnormal surges in seasonal WUE (April-October) occurred from 1997-1998 and 2007-2009.
- WUE exhibited strong resilience to water disturbances but weak resistance to temperature and DSI anomalies. Vegetation changes had a higher explanatory power for WUE than meteorological factors.
- Human activities significantly increased WUE in eastern, central, and southern regions.
Conclusions:
- WUE dynamics on the Mongolian Plateau are complex, influenced by both climatic and anthropogenic factors.
- Understanding these dynamics is vital for predicting ecosystem responses to environmental change.
- The findings offer a reference for carbon-water cycle research in the region.
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