Effects of drought and flood on crop production in China across 1949–2015: spatial heterogeneity analysis with Bayesian hierarchical modeling

  • Huili Chen
  • Zhongyao Liang
  • Yong Liu
  • Qingsong Jiang
  • Shuguang Xie
Original Paper
  • 3 Downloads

Abstract

China is an agricultural country with the largest population in the world. However, intensification of droughts and floods has substantial impacts on agricultural production. For effective agricultural disaster management, it is significant to understand and quantify the influence of droughts and floods on crop production. Compared with droughts, the influence of floods on crop production and a comprehensive evaluation of effects of droughts and floods are given relatively less attention. The impact of droughts and floods on crop production is therefore investigated in this study, considering spatial heterogeneity with disaster and yield datasets for 1949–2015 in China mainland. The empirical relationships between drought and flood intensity and yield fluctuation for grain, rice, wheat, maize and soybean are identified using a Bayesian hierarchical model. They are then used to explore what social-economic factors influenced the grain sensitivity to droughts and floods by the Pearson’s coefficient and locally weighted regression (LOSEE) plots. The modeling results indicate that: (a) droughts significantly reduce grain yields in 28 of 31 provinces and obvious spatial variability in drought sensitivity exists, with Loess Plateau having highest probability of crop failure caused by droughts; (b) floods significantly reduce grain yield in 20 provinces, while show positive effect in the northwestern and southwestern China; (c) the spatial patterns of influence direction of droughts and floods on rice, maize and soybean are consistent with the grain’s results; and (d) promoting capital investments and improving access to technical inputs (fertilizer, pesticide, and irrigation) can help effectively buffer grain yield lose from droughts.

Keywords

Drought Flood Agriculture Yield variability Disaster intensity 

Notes

Acknowledgements

This paper was supported by the National Basic Research Program of China (2015CB458900) and National Science Foundation of China (51721006). Any enquiries for access to the data referred to in this article should be directed to yongliu@pku.edu.cn.

Supplementary material

11069_2018_3216_MOESM1_ESM.docx (686 kb)
Supplementary material 1 (DOCX 685 kb)

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Copyright information

© Springer Science+Business Media B.V., part of Springer Nature 2018

Authors and Affiliations

  • Huili Chen
    • 1
  • Zhongyao Liang
    • 1
  • Yong Liu
    • 1
  • Qingsong Jiang
    • 1
  • Shuguang Xie
    • 1
  1. 1.College of Environmental Science and Engineering, Key Laboratory of Water and Sediment Sciences (MOE)Peking UniversityBeijingChina

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