Evidence map›Paper›PMID 42870969›Full record

ArticleEcology and evolution2026

Distribution Patterns and Environmental Correlates of Invasive Plants Along an Urbanization Gradient in a Medium-Sized Mountainous City of Southwest China.

Jiahui Fan, Xiaona Li, Jianying Xiang, Weiwei Li, Zhongjian Deng

Abstract read
In one paragraph

Article in Ecology and evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jiahui FanCollege of Forestry Southwest Forestry University Kunming Yunnan China.ORCID https://orcid.org/0009-0002-7736-1763
Xiaona LiYunnan Yuxi Forest Ecosystem National Observation and Research Station Kunming Yunnan China.
Jianying XiangCollege of Forestry Southwest Forestry University Kunming Yunnan China.
Weiwei LiYunnan International Joint Center of Urban Biodiversity Kunming Yunnan China.
Zhongjian DengCollege of Forestry Southwest Forestry University Kunming Yunnan China.ORCID https://orcid.org/0009-0003-3694-3617

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Against the backdrop of ongoing urban expansion, alien plant invasions are closely linked to the stability of urban ecosystems. However, few studies have documented invasive plant distribution and their statistical associations with landscape variables in mountainous medium-sized cities, which serve as critical urban-rural transition zones. This study selected Anning City, a representative mountainous medium-sized city in Yunnan, Southwest China, as the research case. We established 63 standard sampling plots spanning urban, suburban, and exurban zones along an urbanization gradient. Canonical Correspondence Analysis (CCA) and Monte Carlo permutation tests were adopted to quantify statistical associations between six major macro-environmental variables and invasive plant spatial distribution, and to characterize the distribution features of invasive plants for reference in targeted monitoring work. The main observations are summarized as follows: (1) A total of 66 alien invasive plant species belonging to 24 families and 51 genera were recorded. Asteraceae was the most abundant family, accounting for 25.75% of all taxa; 68.18% of species originated from the Americas, and annual and biennial herbs dominated the community (75.75%), which tend to occur abundantly in frequently disturbed habitats. (2) This local dataset captured a site-specific trend where invasion abundance declines as urbanization intensity rises: the total number of invasive species increased from urban to suburban and exurban zones, yet significant gradient differentiation only existed in plant abundance rather than species richness. Suburban and exurban plots had similar abundance values (

Indexed as

alien invasive plantsbuilding densitydistribution patternSouthwest China's mountainous regionurbanization gradient

Identifiers

PMID42870969
PMCPMC13658052

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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.