Evidence map›Paper›PMID 41727986›Full record

ArticleFrontiers in plant science2026

MaxEnt model-based prediction of potential suitable habitats of three Trichosanthes L. species in China under future climate change scenarios.

Xiaomeng Wang, Yuanyuan Ding, Chunfeng Duan, Yunchuan Xu, Chen Zhang, Zihan Wang

Erratum issuedAbstract read
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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. An erratum has been issued. 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

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

1 citing paper in PubMed.

  1. Climatic suitability screening ofFrontiers in plant science · 2026
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Xiaomeng WangReading College, Nanjing University of Information Science and Technology, Nanjing, China.
Yuanyuan DingSchool of Geographical Sciences, Nanjing University of Information Science and Technology, Nanjing, China.
Chunfeng DuanAnhui Key Laboratory of Atmospheric Science and Satellite Remote Sensing, Anhui Institute of Meteorological Sciences, Hefei, China.
Yunchuan XuReading College, Nanjing University of Information Science and Technology, Nanjing, China.
Chen ZhangTaizhou Yuhuan Meteorological Bureau of Zhejiang, Taizhou, China.
Zihan WangJiangsu Provincial University Key Laboratory of Agricultural and Ecological Meteorology, Nanjing University of Information Science and Technology, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Global warming is reshaping species' distributions, threatening the habitats of three medicinal lianas in the genus Methods: Present and future suitability patterns were delineated using an optimized MaxEnt model, driven by contemporary climate data and four Shared Socioeconomic Pathway (SSP) scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5). Model performance was enhanced through parameter tuning and evaluation, and the principal climatic drivers of habitat suitability were identified from the fitted models. Results: The tuned MaxEnt models reliably predicted habitat suitability. Discussion: Distributions of the three

Indexed as

climate changeMaxEntpredictionsuitable habitatTrichosanthes

Identifiers

PMID41727986
PMCPMC12921577

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.