New Advances and Contributions to Forestry Research 2012
DOI: 10.5772/35068
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The Development of a Port Surrounds Trapping System for the Detection of Exotic Forest Insect Pests in Australia

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Cited by 14 publications
(15 citation statements)
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“…), broadleaf forests surrounding ports represent suitable habitat for their establishment. These areas have been recognized as high‐risk sites in previous studies as the wood‐boring beetles arriving at points of entry can disperse to neighbouring areas exploiting their ability to fly and find suitable hosts and habitats (Bashford ; Rabaglia et al . ).…”
Section: Discussionmentioning
confidence: 99%
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“…), broadleaf forests surrounding ports represent suitable habitat for their establishment. These areas have been recognized as high‐risk sites in previous studies as the wood‐boring beetles arriving at points of entry can disperse to neighbouring areas exploiting their ability to fly and find suitable hosts and habitats (Bashford ; Rabaglia et al . ).…”
Section: Discussionmentioning
confidence: 99%
“…), our results show that alien wood‐boring beetles can be present even in landscapes with very low amounts of forest area. Previous studies have suggested that urban areas, which are usually characterized by a wide range of native and alien tree species in parks, gardens and along streets, may provide adequate tree hosts for invaders that would not otherwise become successfully established (Bashford ; Koch et al . ).…”
Section: Discussionmentioning
confidence: 99%
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“…Many post-border forestry pest surveillance programs have been piloted in Eastern Australia involving port-environ surveillance, urban tree monitoring and targeted trapping [2,3]. Expansion of Forests 2019, 10,198 2 of 17 these activities into a nationally coordinated program, targeting high-risk sites and priority pests, will maximise the chance of early detection and possible eradication, thereby reducing the likelihood of exotic pests becoming established in Australia's forests [1,4,5].…”
Section: Introductionmentioning
confidence: 99%