Spatiotemporal variation of growth–stage specific concurrent climate extremes and their impacts on rice yield in southern China

Abstract. Increasing evidence highlights the disruptive effects of compound climate extremes on global crop yields under climate change. Existing studies predominantly rely on the whole growing–season scale and relative thresholds, and limit the ability to capture crop physiological sensitivities and yield responses that vary critically across growth stages. Here, we analyzed the spatiotemporal variations, dominant drivers, and potential impacts on the yields of concurrent heat–drought and chilling–rain events for single– and late–rice in southern China from 1981 to 2018. Specifically, we carefully distinguished three sensitive growth stages of rice and stage–specific climate stress types and thresholds based on rice physiology. Temporally, single–rice experienced a significant increase in concurrent heat–drought events, while late–rice experienced a modest rise in chilling–rain events. Spatially, the hotspots of concurrent heat–drought events varied greatly across the three growth stages. These spatial patterns are driven primarily by differences in crop phenology across locations, rather than by the occurrence of extreme climate conditions. The concurrent chilling–rain events of late–rice were widespread within the planting regions, with a higher incidence in certain areas. Path analysis identified heat stress as the primary driver of heat–drought impacts (particularly in jointing–booting and heading–flowering stages), whereas chilling and rain stress exerted comparable effects for late–rice. Our assessment of compound event impacts and sensitivity on rice yield revealed significant growth–stage differences, with comparable yield losses from both concurrent heat–drought and chilling–rain events. Single–rice showed the highest sensitivity to heat–drought events during the grain filling stage, whereas the late–rice exhibited greater sensitivity during the heading–flowering stage. The historical impact on yield diverged markedly across growth stages, with the largest having occurred in the grain filling stage, particularly for heat–drought events. Our study provided important information on compound agroclimatic extremes, in the context of southern China's rice production system, and the results provide important information for risk management and adaptation strategies under climate change.

Authors

Institutions

Publication Details

Journal
Earth System Dynamics
Published
2025-11-03
DOI
https://doi.org/10.5194/esd-16-1971-2025
Primary Topic
Climate change impacts on agriculture
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatiotemporal variation of growth–stage specific concurrent climate extremes and their impacts on rice yield in southern China

Tao Ye, Weihang Liu, Shuo Chen, Ran Sun et al.
Earth System Dynamics
Climate change impacts on agriculture
article

Spatiotemporal variation of growth–stage specific concurrent climate extremes and their impacts on rice yield in southern China

Tao Ye, Weihang Liu, Shuo Chen, Ran Sun, Yiqing Liu
article en

Abstract

Abstract. Increasing evidence highlights the disruptive effects of compound climate extremes on global crop yields under climate change. Existing studies predominantly rely on the whole growing–season scale and relative thresholds, and limit the ability to capture crop physiological sensitivities and yield responses that vary critically across growth stages. Here, we analyzed the spatiotemporal variations, dominant drivers, and potential impacts on the yields of concurrent heat–drought and chilling–rain events for single– and late–rice in southern China from 1981 to 2018. Specifically, we carefully distinguished three sensitive growth stages of rice and stage–specific climate stress types and thresholds based on rice physiology. Temporally, single–rice experienced a significant increase in concurrent heat–drought events, while late–rice experienced a modest rise in chilling–rain events. Spatially, the hotspots of concurrent heat–drought events varied greatly across the three growth stages. These spatial patterns are driven primarily by differences in crop phenology across locations, rather than by the occurrence of extreme climate conditions. The concurrent chilling–rain events of late–rice were widespread within the planting regions, with a higher incidence in certain areas. Path analysis identified heat stress as the primary driver of heat–drought impacts (particularly in jointing–booting and heading–flowering stages), whereas chilling and rain stress exerted comparable effects for late–rice. Our assessment of compound event impacts and sensitivity on rice yield revealed significant growth–stage differences, with comparable yield losses from both concurrent heat–drought and chilling–rain events. Single–rice showed the highest sensitivity to heat–drought events during the grain filling stage, whereas the late–rice exhibited greater sensitivity during the heading–flowering stage. The historical impact on yield diverged markedly across growth stages, with the largest having occurred in the grain filling stage, particularly for heat–drought events. Our study provided important information on compound agroclimatic extremes, in the context of southern China's rice production system, and the results provide important information for risk management and adaptation strategies under climate change.

Earth System DynamicsVol. 16(6)
Beijing Normal University (CN), Ministry of Civil Affairs (CN)
Bill and Melinda Gates Foundation, National Natural Science Foundation of China
Openalex Percentile: Top 75%
Climate change impacts on agriculture
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.