Evidence map›Paper›PMID 39825098›Full record

ArticleScientific reports2025

The role of host plants, land cover and bioclimate in predicting the invasiveness of Aromia bungii on a global scale.

Enrico Ruzzier, Seunghyun Lee, Pietro Tirozzi, Valerio Orioli, Andrea Di Giulio, Olivia Dondina, Luciano Bani

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Biodiversity data journal · 2025
    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

7 authors.

Enrico RuzzierDepartment of Science, Università Roma Tre, Rome, Italy. enrico.ruzzier@uniroma3.it.
Seunghyun LeeDepartment of Life Sciences, Natural History Museum, London, UK.
Pietro TirozziDepartment of Earth and Environmental Sciences, University of Milano-Bicocca, Milan, Italy.
Valerio OrioliDepartment of Earth and Environmental Sciences, University of Milano-Bicocca, Milan, Italy.
Andrea Di GiulioDepartment of Science, Università Roma Tre, Rome, Italy.
Olivia DondinaDepartment of Earth and Environmental Sciences, University of Milano-Bicocca, Milan, Italy.
Luciano BaniDepartment of Earth and Environmental Sciences, University of Milano-Bicocca, Milan, Italy.

Funding

Ministero dell'Istruzione, dell'Università e della Ricerca Project code CN_00000033
6 · The paper itself

Abstract

Aromia bungii is an invasive Cerambycidae of major concern at the global scale because of the damage caused to Rosaceae. Given the major phytosanitary relevance of A. bungii, predicting its spread in invaded areas and identifying possible new suitable regions worldwide remains a key action to develop appropriate management practices and optimise monitoring and early detection campaigns. To improve the predictive power of the modelling framework, a habitat suitability model (HSM), which includes host plants, was combined with a bioclimatic suitability model (BSM), both of which were calibrated on native occurrences. The range of A. bungii was substantially limited by the bioclimate, while habitat conditions acted as limiting factors in the species' distribution. Host plants were the most important variable that positively influenced habitat suitability. Bioclimatic suitability improved as rainfall in the warmest quarter and average temperatures in the wettest quarter increased and as isothermality decreased. According to the combination of HSM and BSM, Japan is the most suitable area outside the native range of the species. In Europe, despite its high habitat suitability, it is difficult to expect a species to expand its range except through a substantial change in its bioclimatic niche.

Indexed as

Introduced SpeciesAnimalsClimateEcosystemCerambycidaeColeopteraDistributionInvasive alien species (IAS)PestSpatial distribution model (SDM)Wood borer

Identifiers

PMID39825098
PMCPMC11748626

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.