Skip to main navigation Skip to search Skip to main content

Oscillation-induced yield loss in China partially driven by migratory pests from mainland Southeast Asia

  • Chenzhi Wang
  • , Xuhui Wang
  • , Yuxing Sang
  • , Christoph Müller
  • , Yao Huang
  • , Laurent Li
  • , Diane Cooke
  • , Quanbo Zhao
  • , Liangliang Zhang
  • , Yahai Lu
  • , Feng Zhou
  • , Hongyan Liu
  • , Fulu Tao
  • , Tao Lin
  • , Shilong Piao
  • Tsinghua University
  • Leibniz Centre for Agricultural Landscape Research
  • Member of the Leibniz Association
  • Institute of Botany, Chinese Academy of Sciences
  • Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
  • University of Chinese Academy of Sciences
  • Natural Resources Institute Finland (Luke)
  • Zhejiang University

Research output: Contribution to journalArticlepeer-review

Abstract

Large-scale climate oscillations are recognized as skilful predictors of variations in global and regional crop yield. However, the mechanisms linking climate oscillations to crop yield variations remain unclear and are widely assumed to result from crop physiological responses to oscillation-induced local climate variations. Here we assessed the pattern of oscillation-induced yield variations in China over the past four decades and found that El Niño/Southern Oscillation (ENSO) is the primary climatic oscillation associated with extreme yield anomalies, particularly in southern China. These ENSO-related extreme yield anomalies are driven not only by local climate anomalies but also by greater occurrences of crop pests and diseases. Interestingly, the greater occurrence of crop pests is not triggered by local climate anomalies but is linked to ENSO-forced climate anomalies in mainland Southeast Asia, the source region of these pests, fuelled by the ENSO-driven circulation pattern facilitating their migration to China. Given the projected increase in the frequency of ENSO events in a warming future, effectively mitigating such oscillation-induced crop failures requires cross-border collaboration between the source and receiving countries of crop pests.

Original languageEnglish
Pages (from-to)681-691
Number of pages11
JournalNature Food
Volume6
Issue number7
DOIs
Publication statusPublished - 1 Jul 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

Fingerprint

Dive into the research topics of 'Oscillation-induced yield loss in China partially driven by migratory pests from mainland Southeast Asia'. Together they form a unique fingerprint.

Cite this