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Response of Carbon and Water Use Efficiency to Climate Change and Human Activities in Central Asia

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  • Lin Xiong

    (College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830017, China
    Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830017, China
    These authors contributed equally to this work.)

  • Jinjie Wang

    (College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830017, China
    Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830017, China
    These authors contributed equally to this work.)

  • Jianli Ding

    (Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830017, China
    Xinjiang Institute of Technology, Aksu 843000, China)

  • Zipeng Zhang

    (College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830017, China
    Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830017, China)

  • Shaofeng Qin

    (College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830017, China
    Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830017, China)

  • Ruimei Wang

    (College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830017, China
    Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830017, China)

Abstract

Carbon use efficiency (CUE) and water use efficiency (WUE) are key metrics for quantifying the coupling between terrestrial ecosystem carbon and water cycles. The impacts of intensifying climate change and human activities on carbon and water fluxes in Central Asian vegetation remain unclear. In this study, the CUE and WUE in Central Asia from 2001 to 2022 were accurately estimated with the help of the Google Earth Engine (GEE) data platform; the Theil–Sen median slope estimation combined with the Manna–Kendall significance test and partial derivative analysis were used to investigate the CUE and WUE trends and their responses to climate change and human activities. CUE and WUE show overall declining trends with significant spatial variability. Among meteorological factors, vapor pressure deficit and temperature show the strongest correlation with CUE, while precipitation and temperature are most correlated with WUE. Compared to human activities, climate change has a greater impact on CUE and WUE, mainly exerting a negative influence. Human activities are the main drivers in regions with developed agriculture, such as oases, farmlands, and areas near rivers and lakes. This study provides scientific references for the optimization of water and soil resources and the integrated regional environmental management in Central Asia.

Suggested Citation

  • Lin Xiong & Jinjie Wang & Jianli Ding & Zipeng Zhang & Shaofeng Qin & Ruimei Wang, 2024. "Response of Carbon and Water Use Efficiency to Climate Change and Human Activities in Central Asia," Land, MDPI, vol. 13(12), pages 1-18, December.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:12:p:2072-:d:1534734
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    References listed on IDEAS

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