Evidence map›Paper›PMID 40308301›Full record

ArticleFrontiers in plant science2025

Effects of ultraviolet radiation as a climate variable on the geographic distribution of

Rulin Wang, Xiang Guo, Yanling Song, Yuangang Cai, Yuhan Wu, Mingtian Wang

Abstract read
In one paragraph

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Distribution Shifts ofEcology and evolution · 2026
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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

6 authors.

Rulin Wang *Water-Saving Agriculture in Southern Hill Area Key Laboratory of Sichuan Province, Chengdu, China.
Xiang Guo *Sichuan Province Agro-meteorological Center, Chengdu, China.
Yanling SongChinese Academy of Meteorological Sciences, Beijing, China.
Yuangang CaiMianyang Bureau of Meteorology, Mianyang, China.
Yuhan WuCollege of Life Science, China West Normal University, Nanchong, China.
Mingtian WangWater-Saving Agriculture in Southern Hill Area Key Laboratory of Sichuan Province, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Methods: The aim of this study was to map areas suitable for the growth and conservation of Results: Based on species distribution records, we used the Biomod2 platform to combine climate data, future shared socioeconomic pathways, and elevation data. The ensemble model (EM) was constructed by screening multiple species distribution models (SDMs), including RF, GBM, ANN, and MARS. The ROC value of the joint model is greater than 0.95, indicating that the model has high reliability and accuracy. Mean annual temperature (bio01), temperature seasonality (bio04), minimum temperature in the coldest month (bio06), mean temperature of coldest quarter (bio11), human footprint and human activity impact index (hfv2geo1) and annual average ultraviolet radiation (uvb1annualmeanuv.b) were the most important environmental variables affecting the suitable distribution area of Discussion: Climate change will significantly affect the potential distribution of

Indexed as

biomod2climate changeclimate-suitable regionensemble modelOryza sativapotential geographic distributions

Identifiers

PMID40308301
PMCPMC12041074

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.