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Characterizing Drought Patterns and Vegetation Responses in Northeast China: A Multi-Temporal-Scale Analysis Using the SPI and NDVI

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Listed:
  • Yuxuan Zhang

    (School of Hydraulic and Electric Power, Heilongjiang University, Harbin 150080, China
    Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China)

  • Yuanyuan Liu

    (Bureau of Hydrology (Information Center), Songliao River Water Resources Commission, Changchun 130021, China)

  • Liwen Chen

    (Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
    School of Geomatics and Prospecting Engineering, Jilin Jianzhu University, Changchun 130118, China)

  • Jingxuan Sun

    (Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China)

  • Yingna Sun

    (School of Hydraulic and Electric Power, Heilongjiang University, Harbin 150080, China)

  • Can Peng

    (School of Hydraulic and Electric Power, Heilongjiang University, Harbin 150080, China
    Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China)

  • Yangguang Wang

    (School of Geomatics and Prospecting Engineering, Jilin Jianzhu University, Changchun 130118, China)

  • Min Du

    (School of Geomatics and Prospecting Engineering, Jilin Jianzhu University, Changchun 130118, China)

  • Yanfeng Wu

    (Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China)

Abstract

Drought significantly reduces global agricultural productivity and destabilizes ecosystems. As the primary grain-producing region and a key ecological buffer zone in China, Northeast China is experiencing intensifying drought stress. However, the regional-scale characteristics of refined drought and the impact mechanisms on different types of vegetation in the Northeast are rarely investigated. In this study, we analyzed the spatial and temporal characteristics of drought over 30-, 60-, 90-, 180-, 270-, and 360-day time scales in Northeast China using the Standardized Precipitation Index (SPI) based on high-precision daily precipitation data simulated by CLM3.5 from 2008 to 2023. Additionally, we used the MODIS Normalized Difference Vegetation Index (NDVI) to elucidate the response of vegetation to drought across different land use types. The results showed that SPI-30 was the most sensitive for drought detection, and there was a clear trend of drought aggravation in the northern part of the Northeast region. The strongest correlation between vegetation and drought was found in September. A significant lag in the response of vegetation to drought was observed in May, June, July, and August, with the best correlation observed at a one-month lag. In addition, the degree of response to drought varies among different types of vegetation. Grasslands are the most sensitive to drought, while woodlands and wetlands have a weaker response. This study provides a reference for assessing the dynamics of refined climates at different spatial and temporal scales and offers actionable insights for ecosystem management in climate-sensitive agricultural regions.

Suggested Citation

  • Yuxuan Zhang & Yuanyuan Liu & Liwen Chen & Jingxuan Sun & Yingna Sun & Can Peng & Yangguang Wang & Min Du & Yanfeng Wu, 2025. "Characterizing Drought Patterns and Vegetation Responses in Northeast China: A Multi-Temporal-Scale Analysis Using the SPI and NDVI," Sustainability, MDPI, vol. 17(12), pages 1-21, June.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:12:p:5288-:d:1674255
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    References listed on IDEAS

    as
    1. Zhang, Yu & Hao, Zengchao & Feng, Sifang & Zhang, Xuan & Xu, Yang & Hao, Fanghua, 2021. "Agricultural drought prediction in China based on drought propagation and large-scale drivers," Agricultural Water Management, Elsevier, vol. 255(C).
    2. Zhi Yang & Wenping Li & Liangning Li & Shaogang Lei & Jiawei Tian & Gang Wang & Xuejia Sang, 2022. "Spatiotemporal Variation and Influencing Factors of Vegetation Growth in Mining Areas: A Case Study in a Colliery in Northern China," Sustainability, MDPI, vol. 14(15), pages 1-19, August.
    3. Corey Lesk & Pedram Rowhani & Navin Ramankutty, 2016. "Influence of extreme weather disasters on global crop production," Nature, Nature, vol. 529(7584), pages 84-87, January.
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