Evidence map›Paper›PMID 40741126›Full record

ArticleFrontiers in plant science2025

Construction of eco-quality dual-suitable distribution areas for

Boqian Jiang, Dan Wang, Qiuju Ye, Jiayi Luo, Bingqian Jin, Haibo Yin

Abstract read
In one paragraph

Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Boqian JiangSchool of Pharmacy, Liaoning University of Traditional Chinese Medicine, Dalian, LiaoNing, China.
Dan WangSchool of Pharmacy, Liaoning University of Traditional Chinese Medicine, Dalian, LiaoNing, China.
Qiuju YeSchool of Pharmacy, Liaoning University of Traditional Chinese Medicine, Dalian, LiaoNing, China.
Jiayi LuoSchool of Pharmacy, Liaoning University of Traditional Chinese Medicine, Dalian, LiaoNing, China.
Bingqian JinSchool of Pharmacy, Liaoning University of Traditional Chinese Medicine, Dalian, LiaoNing, China.
Haibo YinSchool of Pharmacy, Liaoning University of Traditional Chinese Medicine, Dalian, LiaoNing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Methods: This study systematically analyzed the key environmental drivers of its distribution and quality formation in Liaoning Province through an integrative framework combining the Maximum Entropy model (MaxEnt), High-Performance Liquid Chromatography (HPLC), and geodetector analysis. Results: July precipitation (Prec7), temperature seasonality (Bio4), May solar radiation (Srad5), March maximum temperature (Tmax3), and March minimum temperature (Tmin3) were core variables influencing distribution patterns. The quality of cultivated populations was primarily regulated by February mean temperature (Tmean2) and May precipitation (Prec5), while that of wild populations were predominantly affected by January mean temperature (Tmean1). By overlaying ecological suitability zones, quality partitions, and existing planting areas, Chaoyang, Huludao, Jinzhou, Liaoyang, and Dandong were identified as ideal regions combining ecological adaptability and quality advantages. Discussion: The study revealed that precipitation and temperature are key factors affecting both distribution and quality. Geodetector analysis confirmed significant interactions among environmental variables influencing both distribution and quality. The multi-model framework established in this study provides a scientific basis for precision cultivation zoning and wild resource conservation of medicinal plants. The identified high-quality planting regions can promote the sustainable development of the

Indexed as

Dictamnus dasycarpus Turcz.ecological suitabilityGeodetectorGeographic Information SystemMaximum Entropy modelquality zoning

Identifiers

PMID40741126
PMCPMC12307492

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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.