Evidence map›Paper›PMID 41748647›Full record

ArticleScientific data2026

A dataset on invasive alien plants of European Union concern.

Lucia Antonietta Santoianni, Elena Barni, Daniela Bouvet, Maria Laura Carranza, Laura Celesti-Grapow, Sandra Citterio, Annalena Cogoni, Michele Finizio, Rodolfo Gentili, Vanessa Lozano and 6 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2026. 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

16 authors.

Lucia Antonietta SantoianniDepartment of Agricultural Sciences, University of Sassari, Sassari, Italy.ORCID http://orcid.org/0009-0008-3486-0769
Elena BarniDepartment of Life Science and Systems Biology, University of Turin, Turin, Italy.
Daniela BouvetDepartment of Life Science and Systems Biology, University of Turin, Turin, Italy.
Maria Laura CarranzaNational Biodiversity Future Center (NBFC), Palermo, Italy.
Laura Celesti-GrapowNational Biodiversity Future Center (NBFC), Palermo, Italy.ORCID http://orcid.org/0000-0002-9533-6919
Sandra CitterioNational Biodiversity Future Center (NBFC), Palermo, Italy.
Annalena CogoniDepartment of Life and Environmental Sciences, University of Cagliari, Cagliari, Italy.
Michele FinizioEnviXLab, Department of Biosciences and Territory, University of Molise, Termoli (CB) and Pesche (IS), Campobasso, Italy.ORCID http://orcid.org/0000-0002-2738-0651
Rodolfo GentiliNational Biodiversity Future Center (NBFC), Palermo, Italy.
Vanessa LozanoDepartment of Agricultural Sciences, University of Sassari, Sassari, Italy. vlozano@uniss.it.ORCID http://orcid.org/0000-0001-5910-0995
Stefano MartellosDepartment of Life Sciences, University of Trieste, Trieste, Italy.ORCID http://orcid.org/0000-0001-5201-8948
Chiara MontagnaniNational Biodiversity Future Center (NBFC), Palermo, Italy.
Nicole SebestaDepartment of Life Science and Systems Biology, University of Turin, Turin, Italy.
Maria Consolata SiniscalcoDepartment of Life Science and Systems Biology, University of Turin, Turin, Italy.
Angela StanisciNational Biodiversity Future Center (NBFC), Palermo, Italy.
Giuseppe BrunduDepartment of Agricultural Sciences, University of Sassari, Sassari, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present PREVALIEN, a dataset created under the project Prevention and Early Detection of the Invasive Alien Plants of European Union Concern in the Italian Protected Areas, an innovative tool supporting prevention and early detection of Invasive Alien Plants. Developed on PostgreSQL, it integrates ecological and spatial data from authoritative European and global sources. This dataset covers 41 vascular plant and algal species, with detailed information on taxonomy, traits, introduction pathways, impacts, and management strategies. Presence and absence records for Italians' protected areas were obtained from the Italian Institute for Environmental Protection and Research databases and included only if collected within National Park boundaries. Data underwent expert verification, including cross-checking with risk assessments and consultation with park authorities. Structured into 34 relational tables, PREVALIEN supports multi-scale ecological analysis and the development of spatially explicit risk models. As an open-access resource, it fills critical data gaps, enhances national IAS monitoring, and provides a foundation for evidence-based policies and actions against biological invasions, strengthening protection of Europe's most vulnerable and biodiversity-rich landscapes.

Indexed as

Introduced SpeciesPlantsBiodiversityConservation of Natural ResourcesEuropean UnionItaly

Identifiers

PMID41748647
PMCPMC13061966

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.