Evidence map›Paper›PMID 40128313›Full record

ArticleScientific reports2025

Predicting the impact of climate change on the distribution of rhododendron on the qinghai-xizang plateau using maxent model.

Sen-Xin Chai, Li-Ping Ma, Zhong-Wu Ma, Yu-Tian Lei, Ya-Qiong Ye, Bo Wang, Yuan-Ming Xiao, Ying Yang, Guo-Ying Zhou

Abstract read
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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Invasion Risk ofEcology and evolution · 2025
    Article
  3. Article
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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

9 authors.

Sen-Xin ChaiCollege of Life Sciences, Qinghai Normal University, Xining, 810016, China.
Li-Ping MaQinghai Transportation Planning and Design Institute Co. Ltd, Xining, 810000, China.
Zhong-Wu MaQinghai Transportation Planning and Design Institute Co. Ltd, Xining, 810000, China.
Yu-Tian LeiQinghai Transportation Planning and Design Institute Co. Ltd, Xining, 810000, China.
Ya-Qiong YeCoalfield Geoogy Research Institute of Gansu, Lan'zhou, 730000, China.
Bo WangCAS Key Laboratory of Tibetan Medicine Research, Northwest Institute of Plateau Biology, Xining, 810008, China.
Yuan-Ming XiaoCAS Key Laboratory of Tibetan Medicine Research, Northwest Institute of Plateau Biology, Xining, 810008, China.
Ying YangCAS Key Laboratory of Tibetan Medicine Research, Northwest Institute of Plateau Biology, Xining, 810008, China.
Guo-Ying ZhouCAS Key Laboratory of Tibetan Medicine Research, Northwest Institute of Plateau Biology, Xining, 810008, China. zhougy@nwipb.cas.cn.ORCID http://orcid.org/0000-0003-2485-6172

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amid the ongoing trend of global warming, the distribution of habitable areas for Rhododendron is facing significant risks. To investigate the possible spatial distribution of Rhododendron on the Qinghai-Xizang Plateau in light of future global warming scenarios, we employed the Maximum entropy model (MaxEnt model) to map its suitable habitat using geographic distribution data and environmental factors projected for 2050s and 2070s, considering three representative concentration pathway (RCP) scenarios, while identifying the key factors influencing their distribution. The results show that: [1] The area under curve (AUC) values of the five Rhododendron were all greater than 0.98, indicated that the model prediction effect was excellent; [2] Isothermality is the most important environmental factor affecting the distribution of Rhododendron (excluding Rhododendron przewalskii). The most important environmental factor for Rhododendron przewalskii is altitude (alt: 51%), with an optimum range of 2700-3300 m, and Rhododendron trichostomum are affected by altitude (alt 18%), with an optimum range of 3200-3900 m. Rhododendron przewalskii (bio12: 21%) and Rhododendron trichostomum(bio12: 19%) are also affected by annual precipitation, and Rhododendron laudandum(bio12: 6%) is less affected by annual precipitation, The optimal amount of precipitation is 400-500 mm as well as 500-800 mm. Rhododendron przewalskii and Rhododendron trichostomum are suitable for survival in high altitude, semi-arid areas [3]. The suitable areas for survival for Rhododendron przewalskii, Rhododendron trichostomum, Rhododendron hypenanthum, and Rhododendron nyingchiense is expanding, while the suitable areas for survival for Rhododendron laudandum is shrinking [4]. The optimal zone for Rhododendron przewalskii is primarily found in the eastern section of the Qinghai-Xizang Plateau, while suitable areas for survival for the other four Rhododendron species are predominantly located in the southern region of the same plateau. Therefore, these regions will be designated as the primary conservation zones for in-situ preservation. The results of the study provide a basis for the in situ conservation of Rhododendron in response to global warming, relocation conservation, and the construction of nature reserve communities and ecological corridors.

Indexed as

Climate ChangeRhododendronAltitudeChinaEcosystemGlobal WarmingClimate changeMaxEnt modelPotential distributionRhododendronThe Qinghai-Xizang plateau

Identifiers

PMID40128313
PMCPMC11933258

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.