Evidence map›Paper›PMID 38362168›Full record

ArticleEcology and evolution2024

Predicting the potential distribution of 12 threatened medicinal plants on the Qinghai-Tibet Plateau, with a maximum entropy model.

Lucun Yang, Xiaofeng Zhu, Wenzhu Song, Xingping Shi, Xiaotao Huang

Abstract read
In one paragraph

Article in Ecology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Habitat Redistribution ofPlants (Basel, Switzerland) · 2026
    Article
  2. Article
  3. Article
  4. Article
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  6. Comparative volatile profiling ofFrontiers in plant science · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Adaptive Traits and Molecular Mechanisms ofPlants (Basel, Switzerland) · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Distribution Patterns ofEcology and evolution · 2025
    Article
  17. Predicting the Potential Distribution ofEcology and evolution · 2025
    Article
  18. Article
  19. Article
  20. 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

5 authors.

Lucun YangQinghai Province Key Laboratory of Qinghai-Tibet Plateau Biological Resources, Northwest Institute of Plateau Biology Chinese Academy of Sciences Xining China.ORCID https://orcid.org/0000-0003-3952-3039
Xiaofeng ZhuGande County Animal Disease Prevention and Control Center Gande Qinghai China.
Wenzhu SongQinghai Province Key Laboratory of Qinghai-Tibet Plateau Biological Resources, Northwest Institute of Plateau Biology Chinese Academy of Sciences Xining China.
Xingping ShiQing Hai West Copper Co., Ltd Maqin Qinghai China.
Xiaotao HuangSchool of Geographical Sciences and Tourism Zhaotong University Zhaotong Yunnan China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change is a vital driver of biodiversity patterns and species distributions, understanding how organisms respond to climate change will shed light on the conservation of endangered species. In this study, the MaxEnt model was used to predict the potential suitable area of 12 threatened medicinal plants in the QTP (Qinghai-Tibet Plateau) under the current and future (2050s, 2070s) three climate scenarios (RCP2.6, RCP4.5, RCP8.5). The results showed that the climatically suitable habitats for the threatened medicinal plants were primarily found in the eastern, southeast, southern, and some parts of the central regions on the QTP. Moreover, 25% of the threatened medicinal plants would have reduced suitable habitat areas within the next 30-50 years in the different future global warming scenarios. Among these medicinal plants, RT (

Indexed as

barycenter migrationclimate changeQinghai‐Tibet Plateausuitable habitatthreatened medicinal plants

Identifiers

PMID38362168
PMCPMC10867876

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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.