Evidence map›Paper›PMID 42453718›Full record

ArticleFrontiers in plant science2026

Evaluation of ecological suitability and quality of wild

Jiangli Xue, Xinyu Nie, Jiankui Zhang, Haibo Yin, Tingguo Kang

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

5 authors.

Jiangli XueSchool of Pharmacy, Liaoning University of Traditional Chinese Medicine, Dalian, China.
Xinyu NieSchool of Pharmacy, Liaoning University of Traditional Chinese Medicine, Dalian, China.
Jiankui ZhangSchool of Pharmacy, Liaoning University of Traditional Chinese Medicine, Dalian, China.
Haibo YinSchool of Pharmacy, Liaoning University of Traditional Chinese Medicine, Dalian, China.
Tingguo KangSchool of Pharmacy, Liaoning University of Traditional Chinese Medicine, Dalian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Methods: This study integrated the Ultra-Performance Liquid Chromatography (UPLC), Maximum Entropy (MAXENT) and the coupled Maximum Entropy-Geographical Detector model (MAXENT-GD). Ecological Suitability and Quality of this species were analyzed under current and future climate scenarios. Model accuracy was evaluated using four validation metrics: coefficient of determination, ROC curve (AUC), Kappa coefficient, and True Skill Statistic (TSS). Results: Ten key environmental variables governed Discussion: We have established a comprehensive research framework capable of predicting both current and future ecological suitability and quality distribution for it. Furthermore, this study employed multiple validation methods to assist in model accuracy assessment, thereby enhancing the reliability of the results, with the aim of providing a reference for related research on other species and in other regions. Collectively, this approach provides a scientific basis for the introduction, domestication, and standardized cultivation of

Indexed as

ecological suitabilityEleutherococcus senticosusgeodetectormaximum entropy modelquality suitability

Identifiers

PMID42453718
PMCPMC13364862

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.