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Journal article
The known unknowns in international border interceptions of non-native insects
Biological Invasions, Vol.27(1), pp.1-19
2025
Abstract
Propagule pressure is one of the key drivers of establishment success of non-native species, including insects. However, border interception data, which have the potential to act as a proxy for true arrival rates (i.e., propagule pressure) of insects into a country, are seldom used to predict invasions. This can be due to the limited amount of interception data in some countries, difficulties accessing such data, and when these data are available, difficulties in addressing biases caused by variation in interception probability for different taxa due to policy changes, and operational influences of import inspections. The type of interception data required to reliably estimate arrival rates is rarely available. To improve the use of interception data as a proxy for propagule pressure, we investigated the fraction of established species which had interceptions and vice versa by taxonomic group and by biological characteristics (development type and feeding group), using several national datasets from five continents. We identified higher fractions of established species that were intercepted for plant feeding insect groups compared to fractions of non-plant feeding groups, even in countries with more general import inspection strategies. This is likely to reflect greater search effort for and recording of plant-feeding insect groups during inspections. To address this variation in interception probability and improve establishment predictions based on interception frequency, we developed a methodology to account for such taxonomic variation. We apply this to three hazard lists of insects, containing potential pests for an industry or potential pests for a country, to assess its effectiveness.
Details
- Title
- The known unknowns in international border interceptions of non-native insects
- Authors
- Rebecca M. Turner (Corresponding Author) - ScionAndrew M. Liebhold - Northern Research StationHelen F. Nahrung - University of the Sunshine Coast, Queensland, Forest Research InstituteCraig B. Phillips - AgResearchTakehiko Yamanaka - Research Center for Agricultural Information TechnologyEckehard G. Brockerhoff (Corresponding Author) - Swiss Federal Institute for Forest, Snow and Landscape Research
- Publication details
- Biological Invasions, Vol.27(1), pp.1-19
- Publisher
- Springer Dordrecht
- Date published
- 2025
- DOI
- 10.1007/s10530-024-03502-3
- ISSN
- 1573-1464; 1387-3547
- Copyright note
- This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
- Data Availability
- Data sources for the international establishments and border interceptions are provided in Supplementary material Tables S1 and S2. Datasets used in the establishment prediction modelling are provided in Turner et al. (2024b).
- Grant note
- Grant Number: B21.3 / Ministry of Business, Innovation and Employment (http://dx.doi.org/10.13039/501100003524); Grant Number: 21-IG-11132762-241 / International Programs, US Forest Service (http://dx.doi.org/10.13039/100006509); Grant Number: EVA4.0; No. CZ.02.1.01/0.0/0.0/16_019/0000803 / Czech Operational Programme "Science, Research, and Education”
- Organisation Unit
- Forest Industries Research Centre; Forest Research Institute
- Language
- English
- Record Identifier
- 991090898602621
- Output Type
- Journal article
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