Content area

Abstract

The Global Biodiversity Framework calls for member countries to reduce the rate of introduction of known or potential invasive alien species by at least 50 percent by 2030. An essential tool that will assist countries in achieving this ambitious target is a list of known or potential invasive alien species that are absent from their territories but might enter along a variety of pathways (‘watch-list’ hereafter). Generating watch-lists requires consideration of curated information on a large number of species. The growing volume of distribution data and the improved understanding of historical species introductions and invasions have created a significant data overload for countries compiling watch-lists. We have developed a computational workflow to automate part of this process, enabling countries to draw up these lists quickly and cost-effectively. The WatchListR tool requires reliable and accurate information on species present in the country (indigenous and introduced, as well as economically important). As information on which species are present is sometimes not readily available, local experts should ideally review and verify the watch-lists developed by WatchListR. As a case study, we used WatchListR to develop a list of species prohibited for importation into the Republic of Mauritius. We explore the development of WatchListR, describe the processes used, consider the efficacy of the tool, highlight planned future advancements, and suggest how countries can support the tool’s development through the use and creation of expert-validated watch-lists.

Details

1009240
Title
WatchListR: a tool for developing watch-lists of invasive species to inform biosecurity decision-making
Publication title
NeoBiota; Sofia
Volume
104
Pages
163-177
Number of pages
16
Publication year
2025
Publication date
2025
Section
Project Description
Publisher
Pensoft Publishers
Place of publication
Sofia
Country of publication
Bulgaria
Publication subject
ISSN
16190033
e-ISSN
13142488
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-11-20
Milestone dates
2025-06-28 (Received); 2025-10-20 (Accepted)
Publication history
 
 
   First posting date
20 Nov 2025
ProQuest document ID
3273776447
Document URL
https://www.proquest.com/scholarly-journals/i-watchlistr-tool-developing-watch-lists-invasive/docview/3273776447/se-2?accountid=208611
Copyright
© 2025. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-12-02
Database
ProQuest One Academic