Evidence map›Paper›PMID 39198562›Full record

ArticleScientific reports2024

Predicting Polygonum capitatum distribution in China across climate scenarios using MaxEnt modeling.

Jun Luo, Yunyang Ma, Ying Liu, Duoping Zhu, Xinzhao Guo

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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  12. Response mechanisms ofFrontiers in plant science · 2025
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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

5 authors.

Jun Luo *Pharmacy Department, The First Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, 550001, Guizhou, China.
Yunyang Ma *School of Biological Sciences, Guizhou Education University, Guiyang, 550018, China.
Ying LiuSchool of Biological Sciences, Guizhou Education University, Guiyang, 550018, China. lyrainye@126.com.
Duoping ZhuInstitute of Ecology Conservation and Restoration, Chinese Academy of Forestry, Beijing, 100091, China.
Xinzhao GuoGuizhou Institute of Forest Inventory and Planning, Guiyang, 550003, China. 418467328@qq.com.

Funding

Fundamental Research Funds for the Guizhou Provincial Science and Technology Projects QKHJC-ZK [2022] YB335Guizhou Province ordinary colleges and universities youth science and technology talent growth project QJHKYZ [2022]304Guizhou Science and Technology Development Project [2018]2772Science and Technology Development Project of Guizhou Government Guided by China Central Government [2020]4001
6 · The paper itself

Abstract

Climate change affects the geographical distribution of species. Predicting the future potential areas suitable for certain species is of great significance for understanding their distribution characteristics and exerting their value. Based on the data of 276 effective distribution points of Polygonum capitatum and 20 ecological factors, the maximum entropy (MaxEnt) model and the ArcGIS software were employed to predict the areas suitable for P. capitatum growth, and the main environmental factors affecting the geographical distribution of this species were explored. Under the current climatic conditions, the areas highly suitable for P. capitatum are mainly distributed in southwestern China, with a small number of sites in coastal areas and most sites in Guizhou Province. Under different climate scenarios, the suitable areas were reduced to varying degrees. The dominant environmental variables affecting the distribution of P. capitatum were precipitation in the driest month, annual precipitation, and elevation, with a cumulative contribution rate of 84.1%. Against the background of a changing climate, the areas suitable for P. capitatum in China will be widely distributed in the southwestern region, with Guizhou Province and Yunnan Province as the main distribution areas; some sites will also be distributed throughout the southwest of Tibet Autonomous Region, the south of Sichuan Province, the north of Guangxi Autonomous Region, and the coastal area of Fujian Province. Optimal conditions for P. capitatum include a dry month precipitation range of 13.4 to 207.3 mm, elevations from 460.3 to 7214.3 m, and annual precipitation between 810 and 1575 mm. Given these insights, we recommend enhanced conservation efforts in current prime habitats and exploring potential cultivation in newly identified suitable regions to ensure the species' preservation and sustainable use.

Indexed as

Climate ChangePolygonumChinaClimateEcosystemGeographyModels, TheoreticalClimate changeHabitat suitabilityMaxEnt modelPolygonum capitatumTraditional Miao medicine

Identifiers

PMID39198562
PMCPMC11358317

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