Evidence map›Paper›PMID 40458221›Full record

ArticleFrontiers in plant science2025

Functional traits driving invasion risk and potential distribution of alien plants in oasis agroecosystems.

Shengtianzi Dong, Tiantian Qin, Zhifang Xue, Wenchao Guo, Hanyue Wang, Hongbin Li

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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. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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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.

Shengtianzi DongThe College of Life Sciences, Shihezi University, Shihezi, China.
Tiantian QinThe College of Life Sciences, Shihezi University, Shihezi, China.
Zhifang XueXinjiang Key Laboratory of Agricultural Biosafety, Urumqi, Xinjiang, China.
Wenchao GuoThe Key Laboratory of Oasis Town and Mountain-basin System Ecology, Xinjiang Production and Construction Corps, Shihezi, China.
Hanyue WangThe College of Life Sciences, Shihezi University, Shihezi, China.
Hongbin LiThe College of Life Sciences, Shihezi University, Shihezi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alien invasive plants pose a significant threat to global agricultural production, with functional traits playing a critical role in their spread and establishment processes. However, relevant research is scarce in oasis agroecosystems, which are more sensitive to global change. We studied oasis agroecosystems in Xinjiang, China, to explore the relationship between alien plant functional traits and invasion risk. A total of 611 sites comprising 9,165 plots were surveyed, covering an area of 22,474.73 hectares. Field surveys recorded species, density, and cover of alien plants, measuring traits related to growth, reproduction, and dispersal. Invasion risk was classified into four levels based on importance values. Random forest and eXtreme Gradient Boosting (XGBoost) modeling analyzed the relationship between functional traits and invasion risk, while MaxEnt modeling predicted potential distributions. We identified 62 alien plant species from 18 families and 44 genera, with Asteraceae and Amaranthaceae being the most represented families. High-risk invasive plants shared certain functional traits-specifically, high specific leaf area (SLA) and larger seed mass-which significantly enhance their invasion potential in oasis agroecosystems. The combination of these traits correlates with increased invasion risk. By incorporating SLA into the weighting of high-risk species distributions, we predicted potential distribution areas with an AUC value of 0.981. Our study identifies key functional traits enabling alien plant invasions in oasis agriculture, enhancing understanding of invasion mechanisms. Findings provide a foundation for predicting potential invasive species and developing management strategies to mitigate impacts on agricultural productivity and ecosystem services.

Indexed as

biological invasionfunctional traitsinvasion riskoasis agriculturepotential distribution

Identifiers

PMID40458221
PMCPMC12127345

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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.