Evidence map›Paper›PMID 34436638›Full record

ArticleEnvironmental monitoring and assessment2021

Ensemble evaluation of the potential risk areas of yellow-legged hornet distribution.

Se-Hyun Kim, Dong Eon Kim, Heejo Lee, Sunghoon Jung, Wang-Hee Lee

Abstract read
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In one paragraph

Article in Environmental monitoring and assessment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Climate-driven invasion ofOne health (Amsterdam, Netherlands) · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. On the Evidence of the European Bee-Eater (Animals : an open access journal from MDPI · 2023
    Article
  6. Article
  7. Review
  8. 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

5 authors.

Se-Hyun KimDepartment of Smart Agriculture Systems, Chungnam National University, Daejoen, 34134, Korea.
Dong Eon KimInvasive Alien Species Research Team, Division of Ecological Safety, Bureau of Survey and Safety, National Institute of Ecology, Seocheon, 33657, Korea.
Heejo LeeInvasive Alien Species Research Team, Division of Ecological Safety, Bureau of Survey and Safety, National Institute of Ecology, Seocheon, 33657, Korea.
Sunghoon JungDepartment of Applied Biology, Chungnam National University, Daejeon, 34134, Korea.
Wang-Hee LeeDepartment of Smart Agriculture Systems, Chungnam National University, Daejoen, 34134, Korea. wanghee@cnu.ac.kr.ORCID http://orcid.org/0000-0002-8834-1779

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Invasion of alien species facilitated by climate change and human assistant is one of global threats that cause irreversible damages on the local flora and fauna. One of these issued species, Vespa velutina nigrithorax du Buysson, 1905 (Hymenoptera:Vespidae), is a significant threat to entomofauna, including honeybees, in the introduced regions. This wasp is still expanding its habitats, prioritizing the development of a reliable species distribution model based on recently updated occurrence data. Therefore, the aim of this study was to evaluate the potential areas that are climatically exposed to V. v. nigrithorax invasion globally and in South Korea, where the wasp has caused severe damage to local ecosystems and apiculture after its recent introduction. We developed a new global scale ensemble model based on CLIMEX and Maxent models and applied it to South Korea using field survey data. As a result, risky areas were predicted to be temperate and subtropical climate regions, including the eastern USA, western Europe, Far East Asia, and small areas in South America and Australia. In particular, South Korea has a high potential risk throughout the country. We expect that this study would provide fundamental data for monitoring the environmental risks caused by V. v. nigrithorax using advanced species distribution modeling.

Indexed as

WaspsAnimalsBeesEcosystemEnvironmental MonitoringEuropeHumansIntroduced SpeciesCLIMEXEnsemble modelingMaxentPotential risk areasYellow-legged hornet

Identifiers

What OpenQuestion holds

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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.