Evidence map›Paper›PMID 42807507›Full record

ArticleFrontiers in plant science2026

Climatic suitability and distribution prediction of

Jing Xiong, Jianglin Kang, Yi Huang

Abstract read
In one paragraph

Article in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

3 authors.

Jing XiongCollege of Artificial Intelligence, Mianyang Teachers' College, Mianyang, China.
Jianglin KangSchool of Geographical Sciences, China West Normal University, Nanchong, China.
Yi HuangSchool of Geographical Sciences, China West Normal University, Nanchong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Methods: Using 92 spatially filtered occurrence records and 18 environmental variables, we developed species distribution models with 12 algorithms and constructed a weighted ensemble from models meeting the screening criterion. Potentially suitable habitats were projected for the current period and for three emission scenarios in the 2050s and 2090s, and key environmental variables and centroid shifts were analyzed. Results: Elevation and annual temperature range were the main environmental constraints. Under current conditions, moderate- and high-suitability habitats were concentrated mainly in the eastern and southern Qinghai-Tibet Plateau. Total suitable area generally increased under future scenarios, mainly through expansion of low- and moderate-suitability habitats, whereas high-suitability habitat increased more slowly and accounted for a smaller proportion of the total suitable area. Centroid shifts varied among periods and scenarios. Discussion: Climate change may reorganize the potential suitability pattern of

Indexed as

climatic suitabilityensemble species distribution modelMedicago sativa L.potential distributionQinghai-Tibet Plateau

Identifiers

PMID42807507
PMCPMC13617093

What OpenQuestion holds

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Registered trials

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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.