Projected shifts in the potential distribution of

Jiayi Liu, Lei Zhang, Dongsheng Wang, Yanan Jing, Guojun Zhang, Beibei Cheng, Fusheng Wu

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

7 authors.

Jiayi LiuCollege of Horticultural Science and Technology, Hebei Normal University of Science & Technology, Qinhuangdao, Hebei, China.

Lei ZhangCollege of Horticultural Science and Technology, Hebei Normal University of Science & Technology, Qinhuangdao, Hebei, China.

Dongsheng WangCollege of Horticultural Science and Technology, Hebei Normal University of Science & Technology, Qinhuangdao, Hebei, China.

Yanan JingCollege of Horticultural Science and Technology, Hebei Normal University of Science & Technology, Qinhuangdao, Hebei, China.

Guojun ZhangCollege of Horticultural Science and Technology, Hebei Normal University of Science & Technology, Qinhuangdao, Hebei, China.

Beibei ChengCollege of Horticultural Science and Technology, Hebei Normal University of Science & Technology, Qinhuangdao, Hebei, China.

Fusheng WuResource Conservation Institute, Shandong Provincial Forest and Grass Germplasm Resources Center, Jinan, Shangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study aimed to project the potential distribution and habitat suitability dynamics of seven Methods: MaxEnt modelling was employed under the ACCESS-CM2 climate model and the SSP1-2.6 emission scenario, integrating field survey data, herbarium records, and 23 environmental variables, under the assumption of static soil and elevation conditions. Results: The results indicated that annual precipitation (bio12) and elevation (DEM) had the strongest statistical associations with the geographic distribution of the genus, while temperature and soil factors played secondary roles. Under current climatic conditions, the core suitable areas are concentrated mainly in Northeast and Southwest China, with pronounced interspecific spatial differentiation: Discussion: For these range-restricted taxa, strengthened population monitoring within existing native ranges and assessments of

Indexed as

Astilbeclimate changemaximum entropy modelSSP1-2.6suitable habitats

Identifiers

PMID42534867

DOI10.3389/fpls.2026.1887603

PMCPMC13422459

What Socratic holds

Textmetadata

LicenceCC BY

Read underepoch 390

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 Socratic graph.