Evidence map›Paper›PMID 40691193›Full record

ArticleScientific reports2025

Prediction of potential suitable habitats of Malania oleifera under future climate scenarios based on the MaxEnt model.

Ye Zhang, Mimi Li, Xiaoning Zhang, Zihai Qin, Ping Wang, Hailong Liu

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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.

Ye ZhangCollege of Ecology and Environment, Central South University of Forestry and Technology, Changsha, 410007, China.
Mimi LiJiangsu Key Laboratory for Conservation and Utilization of Plant Resources, Institute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing, 210014, China.
Xiaoning ZhangGuangxi Forestry Research Institute, Nanning, 530002, China.
Zihai QinGuangxi Forestry Research Institute, Nanning, 530002, China.
Ping WangCollege of Ecology and Environment, Central South University of Forestry and Technology, Changsha, 410007, China. pingwang@csuft.edu.cn.
Hailong LiuGuangxi Forestry Research Institute, Nanning, 530002, China. liuhailonggfri@163.com.

Funding

Guangxi forestry science and technology demonstration project 2024GXLK28
6 · The paper itself

Abstract

Malania oleifera is a nationally Category II protected wild plant in China and a Vulnerable species on the IUCN Red List, specifically distributed in the karst forest, playing a crucial role in maintaining biodiversity and ecological balance in karst fragile ecosystems. In this study, the potential suitable habitats for M. oleifera were simulated by the MaxEnt model using 126 distribution records and 19 environment variables. The key environmental variables influencing its distribution were identified: topsoil USDA texture classification (t_usda_tex), precipitation of warmest quarter (Bio18), isothermality (Bio03), precipitation of driest quarter (Bio17), precipitation seasonality (Bio15), and temperature annual range (Bio07), which are clay soil, 606-882 mm, 33.1-43.5, 40.7-67.2 mm, 76.9-86.7%, and 20.6-23.1 °C, respectively. Under the future climate scenarios, the total area of suitable habitats for M. oleifera is expected to decrease, with a more significant reduction under the SSP585 scenario compared to the SSP126 and SSP245 scenarios. Compared to the current centroid of the suitable habitat, the future centroid is projected to shift southeastward. This study identifies stable habitats of M. oleifera in the Guangxi-Yunnan-Guizhou border region, recommending prioritized in situ conservation and breeding base development. Environmentally sensitive zones require continuous monitoring and adaptive protection strategies. Climate-adaptive cultivation trials are proposed for expansion areas like Guangdong. These findings offer scientific and practical guidance for sustainable management of this vulnerable species under climate change.

Indexed as

Climate ChangeEcosystemBiodiversityChinaConservation of Natural Resources

Identifiers

PMID40691193
PMCPMC12280065

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.