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Effects of Climate Change on Land Cover Change and Vegetation Dynamics in Xinjiang, China

Author

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  • Haochen Yu

    (School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
    School of Public Policy and Management, China University of Mining and Technology, Xuzhou 221116, China)

  • Zhengfu Bian

    (School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
    School of Public Policy and Management, China University of Mining and Technology, Xuzhou 221116, China)

  • Shouguo Mu

    (School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
    School of Public Policy and Management, China University of Mining and Technology, Xuzhou 221116, China)

  • Junfang Yuan

    (School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
    School of Public Policy and Management, China University of Mining and Technology, Xuzhou 221116, China)

  • Fu Chen

    (School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
    Low Carbon Energy Institute, China University of Mining and Technology, Xuzhou 221008, China)

Abstract

Since the Silk-road Economic belt initiatives were proposed, Xinjiang has provided a vital strategic link between China and Central Asia and even Eurasia. However, owing to the weak and vulnerable ecosystem in this arid region, even a slight climate change would probably disrupt vegetation dynamics and land cover change. Thus, there is an urgent need to determine the Normalized Difference Vegetation Index (NDVI) and Land-use/Land-cover (LULC) responses to climate change. Here, the extreme-point symmetric mode decomposition (ESMD) method and linear regression method (LRM) were applied to recognize the variation trends of the NDVI, temperature, and precipitation between the growing season and other seasons. Combining the transfer matrix of LULC, the Pearson correlation analysis was utilized to reveal the response of NDVI to climate change and climate extremes. The results showed that: (1) Extreme temperature showed greater variation than extreme precipitation. Both the ESMD and the LRM exhibited an increased volatility trend for the NDVI, with the significant improvement regions mainly located in the margin of basins. (2) Since climate change had a warming trend, the permanent snow has been reduced by 20,436 km 2 . The NDVI has a higher correlation to precipitation than temperature. Furthermore, the humid trend could provide more suitable conditions for vegetation growth, but the warm trend might prevent vegetation growth. Spatially, the response of the NDVI in North Xinjiang (NXC) was more sensitive to precipitation than that in South Xinjiang (SXC). Seasonally, the NDVI has a greater correlation to precipitation in spring and summer, but the opposite occurs in autumn. (3) The response of the NDVI to extreme precipitation was stronger than the response to extreme temperature. The reduction in diurnal temperature variation was beneficial to vegetation growth. Therefore, continuous concentrated precipitation and higher night-time-temperatures could enhance vegetation growth in Xinjiang. This study could enrich the understanding of the response of land cover change and vegetation dynamics to climate extremes and provide scientific support for eco-environment sustainable management in the arid regions.

Suggested Citation

  • Haochen Yu & Zhengfu Bian & Shouguo Mu & Junfang Yuan & Fu Chen, 2020. "Effects of Climate Change on Land Cover Change and Vegetation Dynamics in Xinjiang, China," IJERPH, MDPI, vol. 17(13), pages 1-25, July.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:13:p:4865-:d:380969
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    References listed on IDEAS

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    1. Christopher White & Trevor Tanton & David Rycroft, 2014. "The Impact of Climate Change on the Water Resources of the Amu Darya Basin in Central Asia," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(15), pages 5267-5281, December.
    2. Haiming Yan & Jinyan Zhan & Bing Liu & Yongwei Yuan, 2014. "Model Estimation of Water Use Efficiency for Soil Conservation in the Lower Heihe River Basin, Northwest China during 2000–2008," Sustainability, MDPI, vol. 6(9), pages 1-17, September.
    3. Alistair W. R. Seddon & Marc Macias-Fauria & Peter R. Long & David Benz & Kathy J. Willis, 2016. "Sensitivity of global terrestrial ecosystems to climate variability," Nature, Nature, vol. 531(7593), pages 229-232, March.
    4. Nana Luo & Dehua Mao & Bolong Wen & Xingtu Liu, 2020. "Climate Change Affected Vegetation Dynamics in the Northern Xinjiang of China: Evaluation by SPEI and NDVI," Land, MDPI, vol. 9(3), pages 1-18, March.
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    Cited by:

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    6. Jushuang Qin & Menglu Ma & Jiabin Shi & Shurui Ma & Baoguo Wu & Xiaohui Su, 2023. "The Time-Lag Effect of Climate Factors on the Forest Enhanced Vegetation Index for Subtropical Humid Areas in China," IJERPH, MDPI, vol. 20(1), pages 1-18, January.
    7. Yang Yan & Junhui Cheng & Yongkang Li & Jie Fan & Hongqi Wu, 2023. "Characteristics of NDVI Changes in the Altay Region from 1981 to 2018 and Their Relationship to Climatic Factors," Land, MDPI, vol. 12(3), pages 1-18, February.

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