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VCI-Based Analysis on Spatiotemporal Variations of Spring Drought in China

Author

Listed:
  • Liang Liang

    (School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China)

  • Siyi Qiu

    (School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China)

  • Juan Yan

    (School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China)

  • Yanyan Shi

    (School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China)

  • Di Geng

    (School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China)

Abstract

The analysis of spatiotemporal variations in drought is important for environmental monitoring and agricultural production. In this study, the spring vegetative drought conditions in China were analyzed by using the vegetation condition index (VCI) as an indicator to reveal the drought characteristics in China from 1981–2015. The results suggest that spring vegetative drought (especially moderate drought) occurs frequently in China, and drought conditions have obvious geographical differences and are highly affected by monsoons. The frequency of spring vegetative drought is relatively high in the southern and northern regions, which are greatly affected by monsoons, and is relatively low in the northwestern and Qinghai-Tibet regions, which are less affected by monsoons. During 1981–2015, the spring VCI in China showed an overall upward trend. In addition, the trend was not a single change but a wave-like increasing trend that can be divided into four stages: (1) a stage of slow growth from 1981–1990, (2) a stage of intense fluctuations from 1991–2000, (3) a stage of steady growth from 2001–2010, and (4) a stage of slow descent after 2010. The Mann–Kendall test confirmed that the spring VCI in China was increasing, and the changes in the southern, northwestern, and Qinghai-Tibet regions reached significant levels. The time point of mutation in the southern region was 2000, and that in the northwestern and Qinghai-Tibet regions was 1992. Wavelet time series analysis showed that spring vegetation drought in China has a short-period oscillation of 5–7 years and a long-period oscillation of approximately 23–28 years. The northwestern and Qinghai-Tibet regions, which are less affected by the monsoons, are dominated by long-period oscillations, while the southern and northern regions, which are more affected by the monsoons, are dominated by short-period oscillations.

Suggested Citation

  • Liang Liang & Siyi Qiu & Juan Yan & Yanyan Shi & Di Geng, 2021. "VCI-Based Analysis on Spatiotemporal Variations of Spring Drought in China," IJERPH, MDPI, vol. 18(15), pages 1-14, July.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:15:p:7967-:d:602987
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    References listed on IDEAS

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    1. Tayeb Raziei & Isabella Bordi & Luis Pereira, 2013. "Regional Drought Modes in Iran Using the SPI: The Effect of Time Scale and Spatial Resolution," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(6), pages 1661-1674, April.
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    Cited by:

    1. Ying Sun & Dazhao Lao & Yongjian Ruan & Chen Huang & Qinchuan Xin, 2023. "A Deep Learning-Based Approach to Predict Large-Scale Dynamics of Normalized Difference Vegetation Index for the Monitoring of Vegetation Activities and Stresses Using Meteorological Data," Sustainability, MDPI, vol. 15(8), pages 1-21, April.
    2. Amba Shalishe & Anirudh Bhowmick & Kumneger Elias, 2023. "Agricultural drought analysis and its association among land surface temperature, soil moisture and precipitation in Gamo Zone, Southern Ethiopia: a remote sensing approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 117(1), pages 57-70, May.

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