Evidence map›Paper›PMID 40034425›Full record

ArticleEcology and evolution2025

Spatiotemporal Distribution of Wine Grape Under Climate Change in Northwestern China.

Yanyan Liu, Xuejia Shi, Hongjuan Du, Mengjiao Jiang, Fang Li, Jing Wang, Xiaoyu Zhang

Abstract read
In one paragraph

Article in Ecology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yanyan LiuPlateau Atmosphere and Environment Key Laboratory of Sichuan Province, School of Atmospheric Sciences Chengdu University of Information Technology Chengdu Sichuan China.ORCID https://orcid.org/0009-0007-2774-2193
Xuejia ShiPlateau Atmosphere and Environment Key Laboratory of Sichuan Province, School of Atmospheric Sciences Chengdu University of Information Technology Chengdu Sichuan China.
Hongjuan DuWuzhong Meteorological Bureau Wuzhong Ningxia China.
Mengjiao JiangPlateau Atmosphere and Environment Key Laboratory of Sichuan Province, School of Atmospheric Sciences Chengdu University of Information Technology Chengdu Sichuan China.
Fang LiPlateau Atmosphere and Environment Key Laboratory of Sichuan Province, School of Atmospheric Sciences Chengdu University of Information Technology Chengdu Sichuan China.
Jing WangKey Laboratory for Meteorological Disaster Monitoring and Early Warning and Risk Management of Characteristic Agriculture in Arid Regions, CMA Yinchuan Ningxia China.
Xiaoyu ZhangKey Laboratory for Meteorological Disaster Monitoring and Early Warning and Risk Management of Characteristic Agriculture in Arid Regions, CMA Yinchuan Ningxia China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The favorable terroir of China's northwest region provides an ideal environment for the cultivation and thriving growth of grapes. However, climate change threatens to alter the optimal grape-growing regions, presenting considerable challenges to the local wine making industry. To enhance the utilization of regional climate resources and refine the wine grape industry's spatial distribution, this study assessed the performance of nine climate models from the Coupled Model Intercomparison Project Phase 6 (CMIP6) in Northwestern China, simulated the future spatiotemporal distribution of wine grape. Results showed that EC-Earth3 performed well in simulating temperature, precipitation, and interannual changes. Under the historical periods (1980-2014), the highly suitable areas for wine grapes were predominantly found in the eastern foothills of Helan Mountain in Ningxia, along the Yellow River in Wuhai and Linhe of Inner Mongolia, along the Qilian Mountains in Wuwei, Zhangye and Jiayuguan of Gansu, and along rivers and oases in the northern foothills of Tianshan Mountains, Ili River Valley, Tuha Basin, Yanqi Basin, Aksu, Muzart, and Kashgar of Xinjiang. Compared with historical periods, the highly and moderately suitable areas were expected to expand under SSP245 and SSP585. Nevertheless, the overall pattern of spatial distribution was not anticipated to experience substantial alterations. In the next 50 years (2055-2085), the suitable areas under SSP245 scenario would be higher than SSP585. Precipitation from July to September (

Indexed as

CMIP6 modelsMaxEntNorthwestern Chinaspatiotemporal distributionwine grape

Identifiers

PMID40034425
PMCPMC11872600

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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.