Evidence map›Paper›PMID 41568016›Full record

ArticleEcology and evolution2026

Predicting the Potential Spread of Invasive Reptiles From Hong Kong and Taiwan to Other Regions of China.

Chaosheng Mu, Jichao Wang

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Chaosheng MuMinistry of Education Key Laboratory for Ecology of Tropical Islands, Key Laboratory of Tropical Animal and Plant Ecology of Hainan Province, College of Life Sciences Hainan Normal University Haikou China.ORCID https://orcid.org/0000-0001-5297-6732
Jichao WangMinistry of Education Key Laboratory for Ecology of Tropical Islands, Key Laboratory of Tropical Animal and Plant Ecology of Hainan Province, College of Life Sciences Hainan Normal University Haikou China.ORCID https://orcid.org/0000-0002-1629-3317

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biological invasions pose significant threats to global ecosystems, with invasive reptiles causing particular concern due to their increasing spread through international trade and potential range expansion under climate change. This study investigated the potential spread of five invasive reptile species that have established breeding populations in Hong Kong and Taiwan but have not yet invaded mainland China. Using the Maximum Entropy algorithm in Species Distribution Models, we integrated global occurrence records with current and future environmental variables to predict suitable habitats and potential distribution changes under different climate scenarios. We assess invasion risk based on the current and future distribution ranges of suitable habitats for invasive species. Our study results indicate the brown anole (

Indexed as

climate changeinvasion risk assessmentMaxentrange expansionspecies distribution modelssuitable habitats

Identifiers

PMID41568016
PMCPMC12816163

What OpenQuestion holds

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LicenceCC BY
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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.