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Potential Variation of Evapotranspiration Induced by Typical Vegetation Changes in Northwest China

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  • Yanmin Shuai

    (Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
    School of Geomatics, Liaoning Technical University, Fuxin 123000, China
    Research Center for Ecology and Environment of Central Asia, Chinese Academy of Sciences, Urumqi 830011, China
    College of Resources and Environmental, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Yanjun Tian

    (School of Geomatics, Liaoning Technical University, Fuxin 123000, China)

  • Congying Shao

    (Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
    School of Geomatics, Liaoning Technical University, Fuxin 123000, China)

  • Jiapeng Huang

    (School of Geomatics, Liaoning Technical University, Fuxin 123000, China)

  • Lingxiao Gu

    (School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, China)

  • Qingling Zhang

    (School of Aeronautics and Astronautics, Sun Yat-sen University Shenzhen Campus, Shenzhen 518107, China)

  • Ruishan Zhao

    (School of Geomatics, Liaoning Technical University, Fuxin 123000, China)

Abstract

Evapotranspiration (ET), as a key eco-hydrological parameter, plays an important role in understanding sustainable ecosystem development. Each plant category has a unique functional trait on transpiration and photosynthesis, with ET implying that water cycle and energy transformation is linked with vegetation type. Changes in surface vegetation directly alter biophysical land surface properties, hence affecting energy and ET transfer. With the rapid increase in land surface changes, there is a need to further understand and quantify the effects of vegetation change on ET, especially over the vulnerable water-cycle region in the arid and semi-arid regions of Northwest China. We adopted the GlobalLand30 land cover and MOD16A2 in 2010 and 2020 to investigate, discuss the spatio-temporal characteristics of annual and seasonal ET of cultivated land, grassland, and forests in Northwest China, and quantify the impact on vegetation changes with absolute and relative changes from different climatic subecoregions on ET. Our results show the following: (1) Forest ET was generally the highest at 688 mm, followed by cultivated land and grassland with 200–400 mm in arid climatic subecoregions. (2) Returning cultivated land to forests and cultivated land expansion potentially enhances ET by 90–110 mm/10a, with the relative rate of change increasing by 22.1% and 45.8%, respectively, away from unchanged vegetation within identical subecoregions. (3) The ET of most investigated areas gains the highest value in summer, followed by spring, autumn, and winter. This study provides reference for sustainable ecosystem development and the reasonable utilization of limited water resources in Northwest China.

Suggested Citation

  • Yanmin Shuai & Yanjun Tian & Congying Shao & Jiapeng Huang & Lingxiao Gu & Qingling Zhang & Ruishan Zhao, 2022. "Potential Variation of Evapotranspiration Induced by Typical Vegetation Changes in Northwest China," Land, MDPI, vol. 11(6), pages 1-19, May.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:6:p:808-:d:827823
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    References listed on IDEAS

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    1. Sha Zhou & A. Park Williams & Benjamin R. Lintner & Alexis M. Berg & Yao Zhang & Trevor F. Keenan & Benjamin I. Cook & Stefan Hagemann & Sonia I. Seneviratne & Pierre Gentine, 2021. "Soil moisture–atmosphere feedbacks mitigate declining water availability in drylands," Nature Climate Change, Nature, vol. 11(1), pages 38-44, January.
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    4. Junxia Yan & Yanfei Ma & Dongyun Zhang & Zechen Li & Weike Zhang & Zhenhua Wu & Hui Wang & Lihua Wen, 2021. "High-Resolution Monitoring and Assessment of Evapotranspiration and Gross Primary Production Using Remote Sensing in a Typical Arid Region," Land, MDPI, vol. 10(4), pages 1-27, April.
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    Cited by:

    1. Bo Yao & Lei Ma & Hongtao Si & Shaohua Li & Xiangwen Gong & Xuyang Wang, 2023. "Spatial Pattern of Changing Vegetation Dynamics and Its Driving Factors across the Yangtze River Basin in Chongqing: A Geodetector-Based Study," Land, MDPI, vol. 12(2), pages 1-21, January.

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