Evidence map›Paper›PMID 42211468›Full record

ArticleFrontiers in plant science2026

Assessing the impacts of climate change on the potential distribution of the medicinal plant

Yi Liu, Pengfei Zhang, Hong Zhang, Wei Gao, Han Luo, Shoujin Liu, Jiangmiao Hu

Abstract read
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. 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. 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

7 authors.

Yi LiuCollege of Pharmacy, Anhui University of Chinese Medicine, Hefei, China.
Pengfei ZhangDexing Research and Training Center of Chinese Medical Sciences, Dexing, China.
Hong ZhangCollege of Pharmacy, Anhui University of Chinese Medicine, Hefei, China.
Wei GaoChina Resources Sanjiu (Lu'an) Traditional Chinese Medicine Industry Development Co., Ltd., Lu'an, China.
Han LuoCollege of Pharmacy, Anhui University of Chinese Medicine, Hefei, China.
Shoujin LiuCollege of Pharmacy, Anhui University of Chinese Medicine, Hefei, China.
Jiangmiao HuCollege of Pharmacy, Anhui University of Chinese Medicine, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Climate change is expected to reshape the potential distribution of medicinal plants, with direct implications for conservation, cultivation zoning, and sustainable utilization. This study aimed to assess the current and future habitat suitability of Methods: Using the biomod2 R package (v4.2-6), we developed an ensemble species distribution model based on 493 raw occurrence records compiled from field surveys, GBIF, and CVH, which were spatially thinned to 197 independent records at a 5-km grid. After collinearity screening, 15 environmental predictors were retained. Twelve algorithms were calibrated using 1,000 pseudo-absence points, and future suitability was projected under SSP126, SSP245, SSP370, and SSP585. Results: The committee-averaging ensemble model showed high predictive performance, with TSS = 0.842 and AUC = 0.96. Temperature-related predictors, especially bio2, bio3, and bio8, dominated model performance. Under the current climate baseline, highly suitable habitat was mainly concentrated in monsoonal eastern and southern China and parts of Southwest China, covering 2.68 × 10 Discussion: These findings identify more reliable conservation and cultivation priority areas in the middle-lower Yangtze region, South China, the Sichuan Basin, and parts of Southwest China. Northern frontier zones should be treated as validation and trial-introduction areas rather than immediate large-scale production bases.

Indexed as

Bidens biternataBiomod2climate changehabitat suitabilityspecies distribution modeling

Identifiers

PMID42211468
PMCPMC13213480

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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.