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


Journal

Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192

Informations de publication

Date de publication:
21 10 2023
Historique:
received: 24 05 2023
accepted: 13 10 2023
medline: 2 11 2023
pubmed: 22 10 2023
entrez: 21 10 2023
Statut: epublish

Résumé

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.

Identifiants

pubmed: 37865703
doi: 10.1038/s41597-023-02643-9
pii: 10.1038/s41597-023-02643-9
pmc: PMC10590444
doi:

Types de publication

Dataset Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

731

Informations de copyright

© 2023. Springer Nature Limited.

Références

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Auteurs

Maria Chiara Rosace (MC)

Department of Sustainable Crop Production, Università Cattolica del Sacro Cuore, Via Emilia Parmense, 84, 29122, Piacenza, Italy. mariachiara.rosace@unicatt.it.

Martina Cendoya (M)

Centre de Protecció Vegetal i Biotecnología, Institut Valencià d'Investigacions Agràries, 46113, Moncada (Valencia), Spain.

Giulia Mattion (G)

Department of Sustainable Crop Production, Università Cattolica del Sacro Cuore, Via Emilia Parmense, 84, 29122, Piacenza, Italy.

Antonio Vicent (A)

Centre de Protecció Vegetal i Biotecnología, Institut Valencià d'Investigacions Agràries, 46113, Moncada (Valencia), Spain.

Andrea Battisti (A)

Department of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padua, Viale dell'Università, 16, 35020, Legnaro, Italy.

Giacomo Cavaletto (G)

Department of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padua, Viale dell'Università, 16, 35020, Legnaro, Italy.

Lorenzo Marini (L)

Department of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padua, Viale dell'Università, 16, 35020, Legnaro, Italy.

Vittorio Rossi (V)

Department of Sustainable Crop Production, Università Cattolica del Sacro Cuore, Via Emilia Parmense, 84, 29122, Piacenza, Italy.

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Classifications MeSH