Evidence map›Paper›PMID 34522363›Full record

ArticleEcology and evolution2021

Predicting the potential global distribution of

Gu Changjun, Tu Yanli, Liu Linshan, Wei Bo, Zhang Yili, Yu Haibin, Wang Xilong, Yangjin Zhuoga, Zhang Binghua, Cui Bohao

Abstract read
In one paragraph

Article in Ecology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Modeling the Potential Invasion Risk ofEcology and evolution · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Predicting the potential distribution ofFrontiers in plant science · 2025
    Article
  12. Article
  13. Prediction of potential habitat ofFrontiers in plant science · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Current and future distribution ofFrontiers in plant science · 2024
    Article
  18. Article
  19. Effects ofFrontiers in microbiology · 2023
    Article
  20. 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

10 authors.

Gu ChangjunKey Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research CAS Beijing China.ORCID https://orcid.org/0000-0002-4021-4252
Tu YanliTibet Plateau Institute of Biology Lhasa China.
Liu LinshanKey Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research CAS Beijing China.ORCID https://orcid.org/0000-0002-0194-2214
Wei BoKey Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research CAS Beijing China.
Zhang YiliKey Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research CAS Beijing China.
Yu HaibinSchool of Life Sciences Guangzhou University Guangzhou China.
Wang XilongTibet Plateau Institute of Biology Lhasa China.
Yangjin ZhuogaTibet Plateau Institute of Biology Lhasa China.
Zhang BinghuaKey Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research CAS Beijing China.
Cui BohaoKey Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research CAS Beijing China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimInvasive alien species (IAS) threaten ecosystems and humans worldwide, and future climate change may accelerate the expansion of IAS. Predicting the suitable areas of IAS can prevent their further expansion. LOCATION: Global. TAXA: Asteraceae

methodsBased on

resultsThe area under the curve (AUC) value (>0.9) and true skill statistics (TSS) value (>0.8) indicated excelled model performance. Among environment factors, mean temperature of coldest quarter contributed most to the model. Globally, the suitable areas for MAIN

conclusionsMean temperature of coldest quarter was the most important variable influencing the potential suitable area of

Indexed as

Ageratina adenophoraclimate changeecological niche modelinginvasive alien speciesMaxEnt

Identifiers

PMID34522363
PMCPMC8427655

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.