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Quantitative assessments of water-use efficiency in Temperate Eurasian Steppe along an aridity gradient

التقييمات الكمية لكفاءة استخدام المياه في السهوب الأوروبية الآسيوية المعتدلة على طول تدرج الجفاف
Authors: Yizhao Chen; Jianlong Li; Weimin Ju; Honghua Ruan; Zhihao Qin; Y. H. Huang; Nasreen Jeelani; +2 Authors

Quantitative assessments of water-use efficiency in Temperate Eurasian Steppe along an aridity gradient

Abstract

Water-use efficiency (WUE), defined as the ratio of net primary productivity (NPP) to evapotranspiration (ET), is an important indicator to represent the trade-off pattern between vegetation productivity and water consumption. Its dynamics under climate change are important to ecohydrology and ecosystem management, especially in the drylands. In this study, we modified and used a late version of Boreal Ecosystem Productivity Simulator (BEPS), to quantify the WUE in the typical dryland ecosystems, Temperate Eurasian Steppe (TES). The Aridity Index (AI) was used to specify the terrestrial water availability condition. The regional results showed that during the period of 1999-2008, the WUE has a clear decreasing trend in the spatial distribution from arid to humid areas. The highest annual average WUE was in dry and semi-humid sub-region (DSH) with 0.88 gC mm-1 and the lowest was in arid sub-region (AR) with 0.22 gC mm-1. A two-stage pattern of WUE was found in TES. That is, WUE would enhance with lower aridity stress, but decline under the humid environment. Over 65% of the region exhibited increasing WUE. This enhancement, however, could not indicate that the grasslands were getting better because the NPP even slightly decreased. It was mainly attributed to the reduction of ET over 70% of the region, which is closely related to the rainfall decrease. The results also suggested a similar negative spatial correlation between the WUE and the mean annual precipitation (MAP) at the driest and the most humid ends. This regional pattern reflected the different roles of water in regulating the terrestrial ecosystems under different aridity levels. This study could facilitate the understanding of the interactions between terrestrial carbon and water cycles, and thus contribute to a sustainable management of nature resources in the dryland ecosystems.

Country
Germany
Related Organizations
Keywords

Atmospheric sciences, 550, Arid, Economics, Macroeconomics, Precipitation, 551, Soil, Water Cycle, Pathology, Biomass, Water Science and Technology, Productivity, Global and Planetary Change, Steppe, Ecohydrology, Ecology, Evapotranspiration, Primary production, Geography, Q, R, Hydrology (agriculture), Geology, Remote Sensing in Vegetation Monitoring and Phenology, Grassland, Kazakhstan, Hydrological Modeling and Water Resource Management, Physical Sciences, Medicine, Desert Climate, Biomass Estimation, Vegetation (pathology), Research Article, Water-use efficiency, Physical geography, Ecosystem Resilience, Science, Climate Change, Environmental science, Carbon Cycle, Meteorology, Water Supply, Aridity index, Animals, Humans, Irrigation, Biology, Ecosystem, Global Forest Drought Response and Climate Change, Water, FOS: Earth and related environmental sciences, Carbon Dioxide, Watershed Simulation, Temperate climate, Geotechnical engineering, FOS: Biological sciences, Environmental Science, Water cycle, Grasslands; Meteorology; Ecosystems; Carbon dioxide; Deserts; Climate change; Kazakh people; Mongolia

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    citations
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    31
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
31
Top 10%
Top 10%
Top 10%
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gold