Evidence map›Paper›PMID 36840203›Full record

ArticlePlants (Basel, Switzerland)2023

Applicability of Point- and Polygon-Based Vegetation Monitoring Data to Identify Soil, Hydrological and Climatic Driving Forces of Biological Invasions-A Case Study of

Georgina Veronika Visztra, Kata Frei, Alida Anna Hábenczyus, Anna Soóky, Zoltán Bátori, Annamária Laborczi, Nándor Csikós, Gábor Szatmári, Péter Szilassi

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Georgina Veronika VisztraDepartment of Physical Geography and Geoinformatics, University of Szeged, Egyetem utca 2, H-6722 Szeged, Hungary.
Kata FreiDepartment of Ecology, University of Szeged, Közép fasor 52, H-6726 Szeged, Hungary.ORCID 0000-0001-7585-7613
Alida Anna HábenczyusDepartment of Ecology, University of Szeged, Közép fasor 52, H-6726 Szeged, Hungary.ORCID 0000-0003-0905-6724
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
Annamária LaborcziDepartment of Soil Mapping and Environmental Informatics, Institute for Soil Sciences, Centre for Agricultural Research, H-1022 Budapest, Hungary.
Nándor CsikósDepartment of Soil Mapping and Environmental Informatics, Institute for Soil Sciences, Centre for Agricultural Research, H-1022 Budapest, Hungary.ORCID 0000-0002-7395-7298
Gábor SzatmáriDepartment of Soil Mapping and Environmental Informatics, Institute for Soil Sciences, Centre for Agricultural Research, H-1022 Budapest, Hungary.ORCID 0000-0003-3201-598X
Péter SzilassiDepartment of Physical Geography and Geoinformatics, University of Szeged, Egyetem utca 2, H-6722 Szeged, Hungary.ORCID 0000-0003-0051-6739

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Invasive tree species are a significant threat to native flora. They modify the environment with their allelopathic substances and inhibit the growth of native species by shading, thus reducing diversity. The most effective way to control invasive plants is to prevent their spread which requires identifying the environmental parameters promoting it. Since there are several types of invasive plant databases available, determining which database type is the most relevant for investigating the occurrence of alien plants is of great importance. In this study, we compared the efficiency and reliability of point-based (EUROSTAT Land Use and Coverage Area Frame Survey (LUCAS)) and polygon-based (National Forestry Database (NFD)) databases using geostatistical methods in ArcGIS software. We also investigated the occurrence of three invasive tree species (

Indexed as

Ailanthus altissimaArcGISbiological invasionElaeagnus angustifoliaforest unitsinvasive tree speciesLUCASRobinia pseudoacacia

Identifiers

PMID36840203
PMCPMC9965585

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.