Evidence map›Paper›PMID 37520262›Full record

ArticlePeerJ2023

Impact of climate change on the geographical distribution and niche dynamics of

Juan Hu, Ying Feng, Haotian Zhong, Wei Liu, Xufang Tian, Yehong Wang, Tao Tan, Zhigang Hu, Yifei Liu

Abstract read
In one paragraph

Article in PeerJ, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Effects of Different Sources ofPlants (Basel, Switzerland) · 2026
    Article
  2. Conservation-Oriented Analysis ofPlants (Basel, Switzerland) · 2026
    Article
  3. Article
  4. Article
  5. Genome-Wide Identification and Characterisation of theInternational journal of molecular sciences · 2025
    Article
  6. Article
  7. Pan-Chloroplast Genomes Reveal the Accession-Specific Marker forInternational journal of molecular sciences · 2024
    Article
  8. Article
  9. 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

9 authors.

Juan HuCollege of Pharmacy, Hubei University of Chinese Medicine, Wuhan, China.
Ying FengCollege of Pharmacy, Hubei University of Chinese Medicine, Wuhan, China.
Haotian ZhongCollege of Pharmacy, Hubei University of Chinese Medicine, Wuhan, China.
Wei LiuCollege of Pharmacy, Hubei University of Chinese Medicine, Wuhan, China.
Xufang TianCollege of Pharmacy, Hubei University of Chinese Medicine, Wuhan, China.
Yehong WangWufeng Tujia Autonomous County Agricultural Science and Technology Demonstration Center, Yichang, China.
Tao TanWufeng Tujia Autonomous County Herbal Medicine Development Center, Yichang, China.
Zhigang HuCollege of Pharmacy, Hubei University of Chinese Medicine, Wuhan, China.
Yifei LiuCollege of Pharmacy, Hubei University of Chinese Medicine, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: We used the optimized maximum entropy model to simulate the potential distribution of Results: With high Maxent model accuracy (AUCmean = 0.947 ± 0.012, and the Kappa value is 0.817), our analysis revealed that annual precipitation, altitude, and mean temperature of driest quarter are the most important environmental factors influencing the distribution of Discussions: Under the condition of global climate change in the future, our study provides basic reference data for the conservation and sustainable utilization of the valuable and endangered medicinal plant

Indexed as

GastrodiaPlants, MedicinalChinaClimate ChangePlant BreedingClimate changeEcological nicheGastrodia elataHighly suitable area

Identifiers

PMID37520262
PMCPMC10373646

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.