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Dynamic Changes of NDVI in the Growing Season of the Tibetan Plateau During the Past 17 Years and Its Response to Climate Change

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Listed:
  • Xianglin Huang

    (College of Earth Science, Chengdu University of Technology, Chengdu 610059, China)

  • Tingbin Zhang

    (College of Earth Science, Chengdu University of Technology, Chengdu 610059, China
    The Engineering & Technical College of Chengdu University of Technology, Leshan 614000, China)

  • Guihua Yi

    (College of Management Science, Chengdu University of Technology, Chengdu 610059, China
    Montana Tech of the University of Montana, Butte, MT 59701, USA)

  • Dong He

    (International Institute for Earth System Science, Nanjing University, Nanjing 210023, China
    Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, China)

  • Xiaobing Zhou

    (Geophysical Engineering Department, Montana Tech of the University of Montana, Butte, MT 59701, USA)

  • Jingji Li

    (Chengdu University of Technology, College of Environmental and Civil Engineering Institute, Chengdu 610059, China
    State Environmental Protection Key Laboratory of Synergetic Control and Joint Remediation for Soil & Water Pollution (Chengdu University of Technology), Chengdu 610059, China)

  • Xiaojuan Bie

    (College of Tourism and Urban-Rural Planning, Chengdu University of Technology, Chengdu 610059, China)

  • Jiaqing Miao

    (The Engineering & Technical College of Chengdu University of Technology, Leshan 614000, China)

Abstract

The fragile alpine vegetation in the Tibetan Plateau (TP) is very sensitive to environmental changes, making TP one of the hotspots for studying the response of vegetation to climate change. Existing studies lack detailed description of the response of vegetation to different climatic factors using the method of multiple nested time series analysis and the method of grey correlation analysis. In this paper, based on the Normalized Difference Vegetation Index (NDVI) of TP in the growing season calculated from the MOD09A1 data product of Moderate-resolution Imaging Spectroradiometer (MODIS), the method of multiple nested time series analysis is adopted to study the variation trends of NDVI in recent 17 years, and the lag time of NDVI to climate change is analyzed using the method of Grey Relational Analysis (GRA). Finally, the characteristics of temporal and spatial differences of NDVI to different climate factors are summarized. The results indicate that: (1) the spatial distribution of NDVI values in the growing season shows a trend of decreasing from east to west, and from north to south, with a change rate of −0.13/10° E and −0.30/10° N, respectively. (2) From 2001 to 2017, the NDVI in the TP shows a slight trend of increase, with a growth rate of 0.01/10a. (3) The lag time of NDVI to air temperature is not obvious, while the NDVI response lags behind cumulative precipitation by zero to one month, relative humidity by two months, and sunshine duration by three months. (4) The effects of different climatic factors on NDVI are significantly different with the increase of the study period.

Suggested Citation

  • Xianglin Huang & Tingbin Zhang & Guihua Yi & Dong He & Xiaobing Zhou & Jingji Li & Xiaojuan Bie & Jiaqing Miao, 2019. "Dynamic Changes of NDVI in the Growing Season of the Tibetan Plateau During the Past 17 Years and Its Response to Climate Change," IJERPH, MDPI, vol. 16(18), pages 1-21, September.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:18:p:3452-:d:267983
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    References listed on IDEAS

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    1. Lin Huang & Jiyuan Liu & Quanqin Shao & Ronggao Liu, 2011. "Changing inland lakes responding to climate warming in Northeastern Tibetan Plateau," Climatic Change, Springer, vol. 109(3), pages 479-502, December.
    2. Boris Orlowsky & Sonia Seneviratne, 2012. "Global changes in extreme events: regional and seasonal dimension," Climatic Change, Springer, vol. 110(3), pages 669-696, February.
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    Cited by:

    1. Lina Tang & Alimujiang Kasimu & Haitao Ma & Mamattursun Eziz, 2023. "Monitoring Multi-Scale Ecological Change and Its Potential Drivers in the Economic Zone of the Tianshan Mountains’ Northern Slopes, Xinjiang, China," IJERPH, MDPI, vol. 20(4), pages 1-20, February.
    2. Hongliang Gu & Min Chen, 2021. "Comprehensive Insights into Spatial-Temporal Evolution Patterns, Dominant Factors of NDVI from Pixel Scale, as a Case of Shaanxi Province, China," IJERPH, MDPI, vol. 18(19), pages 1-27, September.

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