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Extreme rainfall reduces one-twelfth of China’s rice yield over the last two decades

  • Jin Fu
  • , Yiwei Jian
  • , Xuhui Wang
  • , Laurent Li
  • , Philippe Ciais
  • , Jakob Zscheischler
  • , Yin Wang
  • , Yanhong Tang
  • , Christoph Müller
  • , Heidi Webber
  • , Bo Yang
  • , Yali Wu
  • , Qihui Wang
  • , Xiaoqing Cui
  • , Weichen Huang
  • , Yongqiang Liu
  • , Pengjun Zhao
  • , Shilong Piao
  • , Feng Zhou
  • Tsinghua University
  • UVSQ
  • Environment and Water Research Center
  • Helmholtz Centre for Environmental Research–UFZ
  • Member of the Leibniz Association
  • Leibniz Centre for Agricultural Landscape Research
  • State Key Laboratory of Veterinary Etiological Biology
  • Chinese Research Academy of Environmental Sciences
  • Institute of Genetics and Developmental Biology Chinese Academy of Sciences

Résultats de recherche: Contribution à un journalArticleRevue par des pairs

Résumé

Extreme climate events constitute a major risk to global food production. Among these, extreme rainfall is often dismissed from historical analyses and future projections, the impacts and mechanisms of which remain poorly understood. Here we used long-term nationwide observations and multi-level rainfall manipulative experiments to explore the magnitude and mechanisms of extreme rainfall impacts on rice yield in China. We find that rice yield reductions due to extreme rainfall were comparable to those induced by extreme heat over the last two decades, reaching 7.6 ± 0.9% (one standard error) according to nationwide observations and 8.1 ± 1.1% according to the crop model incorporating the mechanisms revealed from manipulative experiments. Extreme rainfall reduces rice yield mainly by limiting nitrogen availability for tillering that lowers per-area effective panicles and by exerting physical disturbance on pollination that declines per-panicle filled grains. Considering these mechanisms, we projected ~8% additional yield reduction due to extreme rainfall under warmer climate by the end of the century. These findings demonstrate that it is critical to account for extreme rainfall in food security assessments.

langue originaleAnglais
Pages (de - à)416-426
Nombre de pages11
journalNature Food
Volume4
Numéro de publication5
Les DOIs
étatPublié - 1 mai 2023

SDG des Nations Unies

Ce résultat contribue à ou aux Objectifs de développement durable suivants

  1. SDG 2 - Zéro faim
    SDG 2 Zéro faim
  2. SDG 13 - Action climatique
    SDG 13 Action climatique

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