Evidence map›Paper›PMID 34961140›Full record

ArticlePlants (Basel, Switzerland)2021

Natura 2000 Areas, Road, Railway, Water, and Ecological Networks May Provide Pathways for Biological Invasion: A Country Scale Analysis.

Péter Szilassi, Anna Soóky, Zoltán Bátori, Alida Anna Hábenczyus, Kata Frei, Csaba Tölgyesi, Boudewijn van Leeuwen, Zalán Tobak, Nándor Csikós

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Péter SzilassiDepartment of Geoinformatics, Physical and Environmental Geography, University of Szeged, Egyetem utca 2, H-6722 Szeged, Hungary.ORCID 0000-0003-0051-6739
Anna SoókyDepartment of Ecology, University of Szeged, Közép fasor 52, H-6726 Szeged, Hungary.
Zoltán BátoriDepartment of Ecology, University of Szeged, Közép fasor 52, H-6726 Szeged, Hungary.ORCID 0000-0001-9915-5309
Alida Anna HábenczyusDepartment of Ecology, University of Szeged, Közép fasor 52, H-6726 Szeged, Hungary.ORCID 0000-0003-0905-6724
Kata FreiDepartment of Ecology, University of Szeged, Közép fasor 52, H-6726 Szeged, Hungary.ORCID 0000-0001-7585-7613
Csaba TölgyesiDepartment of Ecology, University of Szeged, Közép fasor 52, H-6726 Szeged, Hungary.
Boudewijn van LeeuwenDepartment of Geoinformatics, Physical and Environmental Geography, University of Szeged, Egyetem utca 2, H-6722 Szeged, Hungary.ORCID 0000-0002-1117-5872
Zalán TobakDepartment of Geoinformatics, Physical and Environmental Geography, University of Szeged, Egyetem utca 2, H-6722 Szeged, Hungary.ORCID 0000-0002-4960-2198
Nándor CsikósDepartment of Geoinformatics, Physical and Environmental Geography, University of Szeged, Egyetem utca 2, H-6722 Szeged, Hungary.ORCID 0000-0002-7395-7298

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Invasive species are a major threat to biodiversity worldwide. Controlling their rapid spread can only be effective if we consider the geographical factors that influence their occurrence. For instance, roads, railway networks, green and blue infrastructure, and elements of ecological networks (e.g., ecological corridors) can facilitate the spread of invasive species. In our study, we mapped the occurrence of five invasive plant taxa (tree of heaven, common milkweed, Russian olive, black locust, and goldenrods) in Hungary, using field photos from the EUROSTAT Land Use and Coverage Area Frame Survey (LUCAS) database from the year 2015. Species point occurrence data were compared with the spatial characteristics of linear transport infrastructure and with the green and blue infrastructure. We found that the occurrence of tree of heaven and Russian olive was strongly related to the road and railway network. The average Euclidean distance of LUCAS points infected with these species from railway embankments and roads was much smaller than that of uninfected points. However, black locust and goldenrods were more common only along the road network. According to our results, the occurrence of some investigated invasive plants was over-represented in the HEN and within Natura 2000 areas of Hungary compared to non-infected points. Our results may provide important information for predicting the rate of invasion and for applying targeted management within the HEN, and Natura 2000 protected areas.

Indexed as

blue infrastructureecological networkinvasive plantslinear transport infrastructureLUCAS databaseNatura 2000 areas

Identifiers

PMID34961140
PMCPMC8706988

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.