Evidence map›Paper›PMID 37865703›Full record

ArticleScientific data2023

A spatio-temporal dataset of plant pests' first introductions across the EU and potential entry pathways.

Maria Chiara Rosace, Martina Cendoya, Giulia Mattion, Antonio Vicent, Andrea Battisti, Giacomo Cavaletto, Lorenzo Marini, Vittorio Rossi

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2023. 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
5.5field-weighted citation impact, top 4% of its field
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, 22 citations in OpenAlex.

  1. Article
  2. Pest risk assessment of AfricanEFSA journal. European Food Safety Authority · 2024
    Article
  3. 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

8 authors at 3 institutions in 2 countries.

Maria Chiara RosaceDepartment of Sustainable Crop Production, Università Cattolica del Sacro Cuore, Via Emilia Parmense, 84, 29122, Piacenza, Italy. mariachiara.rosace@unicatt.it.ORCID http://orcid.org/0000-0002-7263-8228
Martina CendoyaCentre de Protecció Vegetal i Biotecnología, Institut Valencià d'Investigacions Agràries, 46113, Moncada (Valencia), Spain.
Giulia MattionDepartment of Sustainable Crop Production, Università Cattolica del Sacro Cuore, Via Emilia Parmense, 84, 29122, Piacenza, Italy.ORCID http://orcid.org/0009-0006-9008-8238
Antonio VicentCentre de Protecció Vegetal i Biotecnología, Institut Valencià d'Investigacions Agràries, 46113, Moncada (Valencia), Spain.
Andrea BattistiDepartment of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padua, Viale dell'Università, 16, 35020, Legnaro, Italy.
Giacomo CavalettoDepartment of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padua, Viale dell'Università, 16, 35020, Legnaro, Italy.
Lorenzo MariniDepartment of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padua, Viale dell'Università, 16, 35020, Legnaro, Italy.ORCID http://orcid.org/0000-0001-7429-7685
Vittorio RossiDepartment of Sustainable Crop Production, Università Cattolica del Sacro Cuore, Via Emilia Parmense, 84, 29122, Piacenza, Italy.
Università Cattolica del Sacro Cuore · ITUniversity of Padua · ITInstituto Valenciano de Investigaciones Agrarias · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

World trade has greatly increased in recent decades, together with a higher risk of introducing non-indigenous pests. Introduction trends show no sign of saturation, and it seems likely that many more species will enter and establish in new territories in the future. A key challenge in analysing pest invasion patterns is the paucity of historical data on pest introductions. A comprehensive dataset of pests' introductions in the EU, including their spatial occurrences, is not currently available and information is scattered across different sources or buried in the scientific literature. Therefore, we collected pests' introduction information (e.g., year, host) from online scientific databases and literature; we then gathered primary spatial data related to the site of first introductions. Finally, we identified the potential pathways of entry for each pest. The dataset contains expert-revised data on 278 pests introduced in the EU between 1999 and 2019, alongside their spatial occurrence and potential pathways of entry, providing a basis to better understand the factors associated with the likelihood of pest introduction. It is important to note that this dataset does not contain the current distribution of the introduced pests, but only records of their first introduction in the EU.

Indexed as

Databases, FactualPest ControlPlantsHong KongProbability

Identifiers

PMID37865703
PMCPMC10590444
OpenAlexW4387845823

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.