Evidence map›Paper›PMID 39837936›Full record

ArticleScientific reports2025

Distribution changes of Ormosia microphylla under different climatic scenarios.

Pan Huang, Yaqin Xiao, Yurong Sun, Huihua Huang, Zhiwei Gong, Yingfang Zhu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Pan HuangCollege of Computer and Mathematics, Central South University of Forestry and Technology, Changsha, 410004, China.
Yaqin XiaoHunan Academy of Forestry, Changsha, 410004, China.
Yurong SunCollege of Computer and Mathematics, Central South University of Forestry and Technology, Changsha, 410004, China.
Huihua HuangCollege of Computer and Mathematics, Central South University of Forestry and Technology, Changsha, 410004, China.
Zhiwei GongCollege of Computer and Mathematics, Central South University of Forestry and Technology, Changsha, 410004, China.
Yingfang ZhuCollege of Computer and Mathematics, Central South University of Forestry and Technology, Changsha, 410004, China. zhuyf2006@163.com.

Funding

Hunan Provincial Forest Quality and Efficiency Improvement Demonstration Project under the Loan of the European Investment Bank OT-S-KTA6the Key Scientific Research Project of Hunan Provincial Department of Education 22A0197
6 · The paper itself

Abstract

Ormosia microphylla is a nationally prioritized wild plant in China but effects of likely future climate change have been poorly studied. Here distribution data of O. microphylla and environmental data with an optimized MaxEnt maximum entropy model were used to predict potentially suitable areas under current and future climate scenarios. The results showed that with future climate warming, the total area suitable for O. microphylla might gradually increase. In the three future periods (2030s (2021-2040), 2050s (2041-2060) and 2090s (2081-2100)), the medium and high suitable areas under different climate scenarios generally showed an expanding trend, while the low suitable areas mostly showed a decreasing trend. At the same time, the potential suitable areas for O. microphylla in China have shown a certain degree of migration trend towards higher latitudes in the north and northwest, as well as a trend towards higher altitudes. The research results will provide data support for the protection of germplasm resources and the development of artificial cultivation techniques for O. microphylla, and provide a theoretical basis for the protection of other rare and endangered plants.

Indexed as

Climate ChangeChinaConservation of Natural ResourcesEcosystemClimate changeEnvironmental factorsMaxEnt modelOrmosia microphyllaSuitable area

Identifiers

PMID39837936
PMCPMC11751211

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.