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Response mechanism of agricultural drought to meteorological drought in the Yellow River Basin

Author

Listed:
  • Xu, Dehe
  • Wang, Menglong
  • Zhang, Ke
  • Zhang, Qi
  • Wu, Shiwen
  • Fu, Jingbao

Abstract

Meteorological drought and agricultural drought interact through the land-air system and hydrological cycle. Understanding how the latter responds to the former is crucial for effective drought mitigation. This study aims to explore the spatially heterogeneous response mechanisms of agricultural drought to meteorological drought in the Yellow River Basin. Based on analyzing the characteristics of meteorological and agricultural drought, Pearson's correlation coefficient was used to evaluate the response time, and then a geographically weighted regression model was used for the first time to study the response mechanism, as it accounts for spatial heterogeneity in environmental influences. The results show: (1) Short-term meteorological droughts are concentrated in the southern basin, with longer durations in the west. In contrast, agricultural droughts occur more frequently in the southwest, but tend to persist longer in the northwest. (2) Response times vary across the basin, ranging from 5 to 12 months in the north, predominantly 12 months in the central region, and 11–12 months in the south. (3) Wind, maximum temperature, and minimum temperature strongly influence response time, with mean GWR coefficients of 0.2121, 0.0357, and −0.0301, respectively. Among them, precipitation, minimum temperature, and hours of sunshine had a negative effect on agricultural drought response time, and wind and maximum temperature had a positive effect. These findings provide a spatially explicit understanding of drought interactions and highlight the importance of targeted water resource and agricultural management strategies.

Suggested Citation

  • Xu, Dehe & Wang, Menglong & Zhang, Ke & Zhang, Qi & Wu, Shiwen & Fu, Jingbao, 2025. "Response mechanism of agricultural drought to meteorological drought in the Yellow River Basin," Agricultural Water Management, Elsevier, vol. 318(C).
  • Handle: RePEc:eee:agiwat:v:318:y:2025:i:c:s0378377425004469
    DOI: 10.1016/j.agwat.2025.109732
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    References listed on IDEAS

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    1. Wang, Fei & Lai, Hexin & Li, Yanbin & Feng, Kai & Zhang, Zezhong & Tian, Qingqing & Zhu, Xiaomeng & Yang, Haibo, 2022. "Dynamic variation of meteorological drought and its relationships with agricultural drought across China," Agricultural Water Management, Elsevier, vol. 261(C).
    2. Zhang, Kang & Xie, Xianhong & Zhu, Bowen & Meng, Shanshan & Yao, Yi, 2019. "Unexpected groundwater recovery with decreasing agricultural irrigation in the Yellow River Basin," Agricultural Water Management, Elsevier, vol. 213(C), pages 858-867.
    3. Ding, Yibo & Gong, Xinglong & Xing, Zhenxiang & Cai, Huanjie & Zhou, Zhaoqiang & Zhang, Doudou & Sun, Peng & Shi, Haiyun, 2021. "Attribution of meteorological, hydrological and agricultural drought propagation in different climatic regions of China," Agricultural Water Management, Elsevier, vol. 255(C).
    4. 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.
    5. Zhou, Keke & Li, Jianzhu & Zhang, Ting & Kang, Aiqing, 2021. "The use of combined soil moisture data to characterize agricultural drought conditions and the relationship among different drought types in China," Agricultural Water Management, Elsevier, vol. 243(C).
    6. Fawen, Li & Manjing, Zhang & Yong, Zhao & Rengui, Jiang, 2023. "Influence of irrigation and groundwater on the propagation of meteorological drought to agricultural drought," Agricultural Water Management, Elsevier, vol. 277(C).
    7. Huang, Shengzhi & Huang, Qiang & Chang, Jianxia & Leng, Guoyong & Xing, Li, 2015. "The response of agricultural drought to meteorological drought and the influencing factors: A case study in the Wei River Basin, China," Agricultural Water Management, Elsevier, vol. 159(C), pages 45-54.
    8. Yali Cheng & Yangbo Chen, 2024. "Spatial and Temporal Characteristics of Land Use Changes in the Yellow River Basin from 1990 to 2021 and Future Predictions," Land, MDPI, vol. 13(9), pages 1-20, September.
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