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一个跨欧盟的植物病虫害首次传入和潜在传入途径的时空数据集。

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

机构信息

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

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

出版信息

Sci Data. 2023 Oct 21;10(1):731. doi: 10.1038/s41597-023-02643-9.

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.

摘要

近几十年来,世界贸易大幅增长,随之而来的是引入非本地害虫的风险增加。引入趋势没有饱和的迹象,未来很可能会有更多的物种进入和在新的地区定殖。分析害虫入侵模式的一个关键挑战是缺乏害虫引入的历史数据。目前欧盟还没有关于害虫引入的综合数据集,包括它们的空间发生情况,信息分散在不同的来源或隐藏在科学文献中。因此,我们从在线科学数据库和文献中收集了害虫引入信息(例如,年份、寄主);然后收集了与首次引入地点有关的主要空间数据。最后,我们确定了每种害虫的潜在进入途径。该数据集包含了 1999 年至 2019 年间在欧盟引入的 278 种害虫的专家修订数据,以及它们的空间发生和潜在进入途径,为更好地理解与害虫引入可能性相关的因素提供了基础。需要注意的是,该数据集不包含引入害虫的当前分布情况,仅记录了它们在欧盟的首次引入情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b48/10590444/4929ba6e93d0/41597_2023_2643_Fig1_HTML.jpg

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