Journal article
Forest Insect Biosecurity: Processes, Patterns, Predictions, Pitfalls
Annual Review of Entomology, Vol.68, pp.211-229
2023
PMID: 36198403
Abstract
The economic and environmental threats posed by non-native forest insects are ever increasing with the continuing globalization of trade and travel; thus, the need for mitigation through effective biosecurity is greater than ever. However, despite decades of research and implementation of preborder, border, and postborder preventative measures, insect invasions continue to occur, with no evidence of saturation, and are even predicted to accelerate. In this article, we review biosecurity measures used to mitigate the arrival, establishment, spread, and impacts of non-native forest insects and possible impediments to the successful implementation of these measures. Biosecurity successes are likely under-recognized because they are difficult to detect and quantify, whereas failures are more evident in the continued establishment of additional non-native species. There are limitations in existing biosecurity systems at global and country scales (for example, inspecting all imports is impossible, no phytosanitary measures are perfect, known unknowns cannot be regulated against, and noncompliance is an ongoing problem). Biosecurity should be a shared responsibility across countries, governments, stakeholders, and individuals.
Details
- Title
- Forest Insect Biosecurity: Processes, Patterns, Predictions, Pitfalls
- Authors
- Helen Nahrung (Corresponding Author) - University of the Sunshine Coast, Queensland, Forest Industries Research CentreAndrew M Liebhold (Author) - US Forest ServiceEckehard G Brockerhoff (Author) - Swiss Federal Institute for Forest, Snow and Landscape ResearchDavide Rassati (Author) - University of Padua
- Publication details
- Annual Review of Entomology, Vol.68, pp.211-229
- Publisher
- Annual Reviews
- Date published
- 2023
- DOI
- 10.1146/annurev-ento-120220-010854
- ISSN
- 1545-4487
- PMID
- 36198403
- Copyright note
- This work is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See credit lines of images or other third-party material in this article for license information.
- Organisation Unit
- Forest Industries Research Centre; Forest Research Institute
- Language
- English
- Record Identifier
- 99680498302621
- Output Type
- Journal article
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