ArticlePlants (Basel, Switzerland)2023
Distribution Patterns and Determinants of Invasive Alien Plants in China.
Article in Plants (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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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.
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Who cites it
6 citing papers in PubMed.
- Patterns, Associated Factors and Plant Diversity Characteristics ofPlants (Basel, Switzerland) · 2026Article
- Ecological Effects ofEcology and evolution · 2026Article
- Climate change provides opportunities for the cultivation ofFrontiers in plant science · 2026Article
- Anthropogenic and Climatic Variables Jointly Shape the Global Geographical Pattern of Hybrid Plant Diversity.Ecology and evolution · 2025Article
- Article
- Characteristics and Species Diversity of Semi-Natural Plant Communities on Langqi Island.Biology · 2023Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent years, invasive alien plants (IAPs) have caused serious ecological disasters and economic losses in China. This study combined three IAP species richness-related indices (species richness of IAPs, first records of IAPs, and the relative species richness of IAPs), as well as indices reflecting distribution and dispersal patterns (average similarity coefficient of IAPs) and invasiveness (average risk score of IAPs), to conduct an integrated regional-invasion risk assessment based on the principal component analysis (PCA) method. Partial least-squares (PLS) regression was conducted to explore the explanatory power of 12 environmental and anthropogenic factors on different invasion indices. The results indicated that coastal provinces and Yunnan had high IAP introduction risk, as well as high synthetic-risk scores. The dispersal of IAPs in mid-latitude provinces should be particularly prevented. For species richness of IAPs, more environmental factors with variable importance for the project (VIP) values higher than 1 were retained in the optimal model, reflecting the importance of environmental filtering on IAPs. Visitors were the most important predictor for first records of IAPs. Compared to species richness (
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