Evidence map›Paper›PMID 36975924›Full record

ArticleInsects2023

Using MaxEnt Model to Predict the Potential Distribution of Three Potentially Invasive Scarab Beetles in China.

Shuangyi Wang, Yuanyuan Lu, Mengyang Han, Lulu Li, Ping He, Aimin Shi, Ming Bai

Abstract read
In one paragraph

Article in Insects, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
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  9. Projecting the potential distribution ofFrontiers in public health · 2025
    Article
  10. Article
  11. Article
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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

7 authors.

Shuangyi WangCollege of Life Science, China West Normal University, Nanchong 637002, China.ORCID 0000-0003-2349-2434
Yuanyuan LuKey Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.ORCID 0000-0003-0648-5531
Mengyang HanKey Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.
Lulu LiKey Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.
Ping HeFaculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
Aimin ShiCollege of Life Science, China West Normal University, Nanchong 637002, China.
Ming BaiKey Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.

Funding

Key Laboratory of the Zoological Systematics and Evolution of the Chinese Academy of Science Y229YX5105National Key R&D Program of China 2022YFC2601200National Science Foundation of China 31900317National Science & Technology Fundamental Resources Investigation Program of China 2022FY100500
6 · The paper itself

Abstract

A hot topic in recent years is the prediction of the potential distribution of possible invasive insects. China is facing a great challenge due to invasive insects. Scarab beetles are a highly diverse group, and many of them are well-known invasive insects. Here, in order to prevent the invasion of scarab beetles in China, we screened the invasive insects globally and obtained a preliminary database of quarantine or invasive scarab beetles. From the obtained database, we selected the top five species (

Indexed as

invasive insectMaxEnt modelpotential distributionquarantine

Identifiers

PMID36975924
PMCPMC10054099

What OpenQuestion holds

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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.