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8 November 2024 Catching invasives with curiosity: the importance of passive biosecurity surveillance systems for invasive forest pest detection
Amanda D. Roe, Leigh F. Greenwood, David R. Coyle
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Abstract

First detections of nonnative insect species are often made by curious members of the public rather than by specialists or trained professionals. Passive surveillance is a crucial component of national biosecurity surveillance, highlighted by early detection case studies of several prominent nonnative arthropod pests (e.g., Asian longhorned beetle [ALB], Jorō spider, spotted lanternfly). These examples demonstrate that curiosity and the recognition of novelty in the natural world, along with enabling technology and systems, are a critical part of early detection and effective invasive species management. This is particularly impactful when dealing with conspicuous pests or for new and emerging nonnative species that have yet to be detected in a new location. Data from historical and recent accounts of first detections of ALB incursions and other invasive forest pests underscore the need to invest in passive surveillance reporting systems and fully integrate public observations into existing surveillance frameworks. New automated approaches streamline the assessment of public observations and can generate pest alerts to initiate a formal regulatory assessment. Biodiversity monitoring platforms, such as iNaturalist, provide a focal point for community engagement and aggregate verified public observations. Empowering proactive reporting of biological novelty provides needed support for early detection of invasive species. Embracing the public as active members of the surveillance community can be cost effective and lead to the greatest gains in the proactive management of invasive species around the world.

Amanda D. Roe, Leigh F. Greenwood, and David R. Coyle "Catching invasives with curiosity: the importance of passive biosecurity surveillance systems for invasive forest pest detection," Environmental Entomology 53(6), 881-893, (8 November 2024). https://doi.org/10.1093/ee/nvae082
Received: 3 May 2024; Accepted: 30 October 2024; Published: 8 November 2024
JOURNAL ARTICLE
13 PAGES

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KEYWORDS
community science
crowdsourced
Early detection
first detector
invasive species
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