Evidence map›Paper›PMID 40747525›Full record

ArticleFrontiers in plant science2025

Projected future changes in extreme climate indices affecting rice production in China using a multi-model ensemble of CMIP6 projections.

Xinmin Chen, Dengpan Xiao, Yongqing Qi, Zexu Shi, Huizi Bai, Yang Lu, Man Zhang, Peipei Pan, Dandan Ren, Xiaomeng Yin and 1 more

Abstract read
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Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Xinmin ChenCollege of Geography Science, Hebei Normal University, Shijiazhuang, China.
Dengpan XiaoCollege of Geography Science, Hebei Normal University, Shijiazhuang, China.
Yongqing QiKey Laboratory for Agricultural Water Resources, Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, China.
Zexu ShiCollege of Geography Science, Hebei Normal University, Shijiazhuang, China.
Huizi BaiEngineering Technology Research Center, Geographic Information Development and Application of Hebei, Institute of Geographical Sciences, Hebei Academy of Sciences, Shijiazhuang, China.
Yang LuCollege of Geography Science, Hebei Normal University, Shijiazhuang, China.
Man ZhangCollege of Geography Science, Hebei Normal University, Shijiazhuang, China.
Peipei PanCollege of Geography Science, Hebei Normal University, Shijiazhuang, China.
Dandan RenSchool of Resources and Environment, College of Carbon Neutrality, Linyi University, Linyi, China.
Xiaomeng YinCollege of Geography Science, Hebei Normal University, Shijiazhuang, China.
Renjie LiCollege of Geography Science, Hebei Normal University, Shijiazhuang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessing and predicting the spatial-temporal characteristics of extreme climate events can effectively identify the impacts of climate change on crop production and propose targeted measures. This study systematically evaluates the intensity and spatiotemporal evolution of extreme climate events during critical phenological stages in China's major rice-growing regions based on 11 extreme climate indices (ECIs). The future climate data were obtained from 18 Global Climate Models (GCMs) integrated in the Coupled Model Intercomparison Project phase 6 (CMIP6) with four shared socio-economic pathways (SSPs) to project the future changes of ECIs related rice production. The results indicate that the multi-model ensemble constructed via the Independence Weighted Mean method (IWM) significantly outperformed both the arithmetic mean method (AM) and individual GCMs in replicating observed trends of 11 ECIs during the historical period (1981-2014), with notable reductions in root mean square error (RMSE) for certain indices. The projections reveal that under the SSP585 scenario, the duration of extreme heat events (e.g., HD) in southern China will increase by 12-18 days by the 2080s compared to the historical period (1981-2014), representing the highest increase among all scenarios. The extreme drought events (e.g., D-Vgp) in northeastern China are projected to reach 14.8, 9.7, and 9.7 days by the 2040s, further rising to 14.3, 10.0, and 10.3 days by the 2080s. The extreme precipitation events are predominantly concentrated in southwestern and southern China, with consecutive wet days (CWD) showing limited increase within 3 days. The findings highlight that China's rice cultivation will face intensified extreme climate challenges in the future, particularly extreme heat stress, necessitating urgent adaptive strategies to mitigate the adverse impacts of climate change on rice production.

Indexed as

CMIP6extreme climate indicesglobal climate modelmulti-model ensemblerice system

Identifiers

PMID40747525
PMCPMC12310666

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.