Evidence map›Paper›PMID 40110622›Full record

ArticlePest management science2025

The spread of the invasive species Reynoutria japonica Houtt. will both expand and contract with climate change: results of climate modelling for 14 European countries.

Nataliia Miroshnyk, Tetiana Grabovska, Hynek Roubík

Abstract read
In one paragraph

Article in Pest management science, 2025. 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

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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

3 authors.

Nataliia MiroshnykInstitute for Evolutionary Ecology, National Academy of Sciences of Ukraine, Kyiv, Ukraine.ORCID https://orcid.org/0000-0003-3507-6585
Tetiana GrabovskaDepartment of General Ecology and Ecotrophology, Bila Tserkva National Agrarian University, Bila Tserkva, Kyiv region, Ukraine.ORCID https://orcid.org/0000-0001-6995-9314
Hynek RoubíkDepartment of Sustainable Technologies, Czech University of Life Sciences Prague, Prague, Czechia.ORCID https://orcid.org/0000-0002-7498-4140

Funding

The Research Institute for Sustainability (RIFS) Potsdam, Germany
6 · The paper itself

Abstract

backgroundThe study of invasive plant species distribution involves changes in their ranges and ecological niches under the projected global temperature increase until 2100. However, climate modeling of habitat suitability for Reynoutria japonica in Europe remains limited, hindering risk assessment and effective management of its spread. We used the MaxEnt model to assess the potential distribution of R. japonica in 14 European countries.

resultsIt was found that the range of the taxon will expand into northern regions by 13.6% or 17.0%, depending on the scenario. However, range contraction in southern and central regions is expected to reach 26%. As a result, by 2100, a slight overall reduction in range (by 9-13%) is projected due to the decrease in distribution areas in southern parts of Europe, where maximum air temperatures will rise. Temperature variability throughout the year and precipitation during the warmest quarter are limiting factors for the spread. The minimum temperature of the growing season will influence distribution projections for 2060, whereas under current climate conditions, this parameter does not have a limiting effect. A general framework for controlling invasions of Reynoutria Houtt. taxa has been developed for both national and international levels.

conclusionThe study identified the dynamics of the invasive species' spread in Europe in relation to global climate change, assessed the risks of colonization in new areas, and provided tools for regulation and management to improve the prediction of potential distribution. © 2025 The Author(s). Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Indexed as

Climate ChangeClimate ModelsIntroduced SpeciesEcosystemEuropeTemperaturealien plantsbiodiversitybiological invasionsJapanese knotweedMaxEnt modelingrisk assessment

Identifiers

PMID40110622
PMCPMC12159380

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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.