Evidence map›Paper›PMID 42769326›Full record

ArticleFrontiers in plant science2026

Managing global risks of invasive aquatic plants under climate change: ensemble species distribution modeling and economic cost projections.

Wei Xing, Zixuan Feng, Wenmin Huang, Xiaowei Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in plant science, 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

4 authors.

Wei Xing *Key Laboratory of Intelligent Health Perception and Ecological Restoration of Rivers and Lakes, Ministry of Education, Hubei University of Technology, Wuhan, China.
Zixuan Feng *State Key Laboratory of Lake and Watershed Science for Water Security, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China.
Wenmin HuangKey Laboratory of Intelligent Health Perception and Ecological Restoration of Rivers and Lakes, Ministry of Education, Hubei University of Technology, Wuhan, China.
Xiaowei LiKey Laboratory of Intelligent Health Perception and Ecological Restoration of Rivers and Lakes, Ministry of Education, Hubei University of Technology, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Invasive aquatic plants obstruct waterways, disrupt fisheries, and cause significant economic, social, and ecological impacts. Predicting their potential distribution and associated economic losses under climate change is critical for global risk management. Methods: This study aimed to predict the global potential distribution of four major invasive aquatic plants ( Results: Current high‑suitability habitats for Discussion: This work provides critical insights for global monitoring, early detection, rapid response, and strategic management of invasive aquatic plants, offering theoretical support for invasion biology under climate change and informing policy decisions and public awareness efforts.

Indexed as

climate changeeconomic lossesinvasive aquatic plantsspecies distribution modelssuitable areas

Identifiers

PMID42769326
PMCPMC13590699

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.