Evidence map›Paper›PMID 41093917›Full record

ArticleScientific reports2025

Investigating the distributional response of the rare and endangered plant Fritillaria przewalskii to climate change based on optimized MaxEnt model.

Pengbin Dong, Liyang Wang, Lingjuan Wang, Maolin Lei, Daiyu Qiu, Gang Bai, Feng-Xia Guo, Yuan Chen

Abstract read
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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

8 authors.

Pengbin DongCollege of Agronomy, College of Life Science and Technology, Gansu Provincial Key Lab of Arid Land Crop Science, Gansu Key Lab of Crop Genetic and Germplasm Enhancement, Gansu Agricultural University, Lanzhou, 730070, China.
Liyang WangCollege of Agronomy, College of Life Science and Technology, Gansu Provincial Key Lab of Arid Land Crop Science, Gansu Key Lab of Crop Genetic and Germplasm Enhancement, Gansu Agricultural University, Lanzhou, 730070, China.
Lingjuan WangPingliang City Plant Protection Centre, Pingliang, 743400, China.
Maolin LeiSchool of Cultural Heritage, Northwest University, Xi'an, 710069, Shaanxi, China.
Daiyu QiuCollege of Agronomy, College of Life Science and Technology, Gansu Provincial Key Lab of Arid Land Crop Science, Gansu Key Lab of Crop Genetic and Germplasm Enhancement, Gansu Agricultural University, Lanzhou, 730070, China.
Gang BaiCollege of Agronomy, College of Life Science and Technology, Gansu Provincial Key Lab of Arid Land Crop Science, Gansu Key Lab of Crop Genetic and Germplasm Enhancement, Gansu Agricultural University, Lanzhou, 730070, China.
Feng-Xia GuoCollege of Agronomy, College of Life Science and Technology, Gansu Provincial Key Lab of Arid Land Crop Science, Gansu Key Lab of Crop Genetic and Germplasm Enhancement, Gansu Agricultural University, Lanzhou, 730070, China. cygcx1963@163.com.
Yuan ChenCollege of Agronomy, College of Life Science and Technology, Gansu Provincial Key Lab of Arid Land Crop Science, Gansu Key Lab of Crop Genetic and Germplasm Enhancement, Gansu Agricultural University, Lanzhou, 730070, China. chenyuan@gsau.edu.cn.

Funding

2021 Provincial Modern Silk Road Cold and Arid Agriculture Chinese Herb Industry Development Project 2130122A Study on The Mechanism of Growth Age on Seed Quality and Production Performance of Astragalus membranaceus 22JR5RA846
6 · The paper itself

Abstract

Climate change will lead to changes in the suitable ranges of certain species and accelerate the decline of global biodiversity, with alpine plants are particularly sensitive to these changes. Fritillaria przewalskii, a primary source for the traditional Chinese medicine Fritillariae Cirrhosae Bulbus, thrives in alpine meadows at altitudes of 2,800 to 4,400 m. In recent years, the rapid decline of wild plant populations, driven by rising market demand and global warming, has led to its classification as a rare and endangered species. This study utilized 83 distribution records of F. przewalskii and 39 climatic variables to assess its distribution range across different historical periods using an optimized MaxEnt model and analyzed the environmental factors affecting its distribution. The MaxEnt model was optimized with feature combination (FC) = LQ and regularization multiplier β = 1.5, based on the values of AUC

Indexed as

Climate ChangeEndangered SpeciesFritillariaBiodiversityChinaConservation of Natural ResourcesEcosystemClimate changeFritillaria przewalskiiOptimized MaxEnt modelSpecies distribution

Identifiers

PMID41093917
PMCPMC12528763

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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.