Evidence map›Paper›PMID 39779834›Full record

ArticleScientific reports2025

Predicting high-quality ecologically suitable areas of Astragalus mongholicus Bunge based on secondary metabolites content using Biomod2 model.

Jingyi Zhou, Xiaoting Zhang, Tongtong Huo, Huizhong Xu, Fanyun Meng, Ning Xu, Cheng Peng

Abstract read
PubMed Full text at PMC Publisher
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.

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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

7 authors.

Jingyi ZhouBeijing Key Laboratory of Traditional Chinese Medicine Protection and Utilization, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China.
Xiaoting ZhangBeijing Key Laboratory of Traditional Chinese Medicine Protection and Utilization, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China.
Tongtong HuoBeijing Key Laboratory of Traditional Chinese Medicine Protection and Utilization, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China.
Huizhong XuBeijing Key Laboratory of Traditional Chinese Medicine Protection and Utilization, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China.
Fanyun MengBeijing Key Laboratory of Traditional Chinese Medicine Protection and Utilization, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China. mfy@bnu.edu.cn.
Ning XuBeijing Key Laboratory of Traditional Chinese Medicine Protection and Utilization, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China. xnximu@hotmail.com.
Cheng PengSchool of Pharmacy, Chengdu University of TCM, Chengdu, 611137, China. pengchengchengdu@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Habitat requirements and species' ecological suitability are essential conditions for species conservation and management. Under the influence of different environmental variables, assessing the habitat quality of medicinal plants is an important issue to ensure the quality of medicinal plants and protect biodiversity. This study explores the impact of environmental variables on the distribution of Astragalus mongholicus Bunge (A. bunge) and the content of effective secondary metabolites (SMs). Combining the Biomod2 model, we constructed a Comprehensive Geospatial Quality Model (CGQM) for A. bunge under current environmental conditions, obtaining a high-quality comprehensive suitable area for A. bunge. The results indicate that the area of the comprehensive high-suitable zone is 4.53 × 10

Indexed as

Astragalus PlantEcosystemSecondary MetabolismBiodiversityChinaConservation of Natural ResourcesPlants, MedicinalA. bungeBiomod2 modelEcological suitabilitySecondary metaboliteSpatial quality

Identifiers

PMID39779834
PMCPMC11711465

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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.