Post-Border Forest Biosecurity in Australia: Response to Recent Exotic Detections, Current Surveillance and Ongoing Needs DOI Open Access
Angus J. Carnegie, Helen F. Nahrung

Forests, Год журнала: 2019, Номер 10(4), С. 336 - 336

Опубликована: Апрель 14, 2019

Assessing exotic pest response and eradication programs can identify factors that will lead to increased detection provide information for prioritizing enhancing future attempts. We review the forest-related insect pathogen detections responses in Australia between 1996 2017. Thirty-four of new forest species were made this timeframe; seventeen each insects pathogens. Twenty-nine are now established mainland another Torres Strait. Four cause high impact, three these subject failed programs. Two four high-impact not previously recognised as threats; indeed, 85% all considered high-priority risks. Only one has been successfully eradicated, suggesting a lower success rate Australian than world average. Most pests pathogens detected early enough attempt eradication, or they deemed significant warrant an attempt. Early is key successful eradication. discuss current surveillance methods (general, specific), locations (urban, regional, amenity, plantation, nursery, native forest), type (public, industry, ad-hoc researcher, health surveillance, high-risk site pest-specific trapping) under. While there increase using specific since 2010, remains need structured national approach biosecurity preparedness, responses.

Язык: Английский

Invasive alien plant species: Their impact on environment, ecosystem services and human health DOI
Prabhat Kumar, Jyoti Singh

Ecological Indicators, Год журнала: 2020, Номер 111, С. 106020 - 106020

Опубликована: Янв. 9, 2020

Язык: Английский

Процитировано

428
Deep learning and computer vision will transform entomology DOI Creative Commons
Toke T. Høye, Johanna Ärje, Kim Bjerge

и другие.

Proceedings of the National Academy of Sciences, Год журнала: 2021, Номер 118(2)

Опубликована: Янв. 11, 2021

Most animal species on Earth are insects, and recent reports suggest that their abundance is in drastic decline. Although these come from a wide range of insect taxa regions, the evidence to assess extent phenomenon sparse. Insect populations challenging study, most monitoring methods labor intensive inefficient. Advances computer vision deep learning provide potential new solutions this global challenge. Cameras other sensors can effectively, continuously, noninvasively perform entomological observations throughout diurnal seasonal cycles. The physical appearance specimens also be captured by automated imaging laboratory. When trained data, models estimates abundance, biomass, diversity. Further, quantify variation phenotypic traits, behavior, interactions. Here, we connect developments urgent demand for more cost-efficient insects invertebrates. We present examples sensor-based insects. show how tools applied exceptionally large datasets derive ecological information discuss challenges lie ahead implementation such entomology. identify four focal areas, which will facilitate transformation: 1) validation image-based taxonomic identification; 2) generation sufficient training data; 3) development public, curated reference databases; 4) integrate molecular tools.

Язык: Английский

Процитировано

333
Bark Beetle Outbreaks in Europe: State of Knowledge and Ways Forward for Management DOI
Tomáš Hlásny, Louis A. König, Paal Krokene

и другие.

Current Forestry Reports, Год журнала: 2021, Номер 7(3), С. 138 - 165

Опубликована: Июль 28, 2021

Язык: Английский

Процитировано

303
Prospects and challenges of implementing DNA metabarcoding for high-throughput insect surveillance DOI Creative Commons
Alexander M. Piper, Jana Batovska, Noel O. I. Cogan

и другие.

GigaScience, Год журнала: 2019, Номер 8(8)

Опубликована: Июль 30, 2019

Abstract Trap-based surveillance strategies are widely used for monitoring of invasive insect species, aiming to detect newly arrived exotic taxa as well track the population levels established or endemic pests. Where these traps have low specificity and capture non-target species in excess target pests, need extensive specimen sorting identification creates a major diagnostic bottleneck. While recent development standardized molecular diagnostics has partly alleviated this requirement, single per reaction nature methods does not readily scale sheer number insects trapped programmes. Consequently, lists often restricted few high-priority allowing unanticipated avoid detection potentially establish populations. DNA metabarcoding recently emerged method conducting simultaneous, multi-species complex mixed communities may lend itself ideally rapid bulk trap samples. Moreover, high-throughput sequencing platforms could enable multiplexing hundreds diverse samples on flow cell, thereby providing means dramatically up terms both quantity that can be processed concurrently pest targeted. In review literature, we explore how tailored context highlight unique technical regulatory challenges must considered when implementing technologies into sensitive applications.

Язык: Английский

Процитировано

220
Insect pest monitoring with camera-equipped traps: strengths and limitations DOI Creative Commons
Michele Preti, François Verheggen, Sergio Angeli

и другие.

Journal of Pest Science, Год журнала: 2020, Номер 94(2), С. 203 - 217

Опубликована: Дек. 4, 2020

Abstract Integrated pest management relies on insect monitoring to support the decision of counteracting a given level infestation and select adequate control method. The classic approach pests is based placing in single infested areas series traps that are checked by human operators temporal basis. This strategy requires high labor cost provides poor spatial resolution achievable operators. adoption image sensors monitor can result several practical advantages. purpose this review summarize progress made automatic with particular focus camera-equipped traps. use software recognition algorithms trap usage identify and/or count species from pictures. Considering opportunity exploit data transfer systems through wireless technology, it possible have remote captures, limiting field visits. availability real-time on-line distant location opens for measuring population dynamics constantly simultaneously large number limited requirement. actual limitations cost, low power autonomy picture quality some prototypes together need further improvements fully automated detection. Limits benefits resulting case studies examined perspective future development technology-driven management.

Язык: Английский

Процитировано

180
Genomic biosurveillance of forest invasive alien enemies: A story written in code DOI Creative Commons
Richard C. Hamelin, Amanda D. Roe

Evolutionary Applications, Год журнала: 2019, Номер 13(1), С. 95 - 115

Опубликована: Авг. 12, 2019

Abstract The world's forests face unprecedented threats from invasive insects and pathogens that can cause large irreversible damage to the ecosystems. This threatens capacity provide long‐term fiber supply ecosystem services range carbon storage, nutrient cycling, water air purification, soil preservation maintenance of wildlife habitat. Reducing threat forest alien species requires vigilant biosurveillance, process gathering, integrating, interpreting, communicating essential information about pest pathogen achieve early detection warning enable better decision‐making. is challenging due diversity pests need be identified, diverse pathways introduction, difficulty in assessing risk establishment. Genomics powerful new solutions biosurveillance. invasion a story written four chapters: transport, establishment, spread. series processes lead successful leave behind DNA signature tells an invasion. help us understand dynamic, multistep inform management current future introductions. review describes application genomic tools pipelines will accurate identification pathogens, assign outbreak or survey samples putative sources identify spread, assess based on traits impact outcome.

Язык: Английский

Процитировано

118
Human-mediated dispersal in insects DOI
Jérôme M. W. Gippet, Andrew M. Liebhold, Gyda Fenn‐Moltu

и другие.

Current Opinion in Insect Science, Год журнала: 2019, Номер 35, С. 96 - 102

Опубликована: Июль 15, 2019

Язык: Английский

Процитировано

112
Palmageddon: the wasting of ornamental palms by invasive palm weevils, Rhynchophorus spp. DOI
Ivan Milosavljević,

Hamadttu A. F. El-Shafie,

J. R. Faleiro

и другие.

Journal of Pest Science, Год журнала: 2018, Номер 92(1), С. 143 - 156

Опубликована: Сен. 20, 2018

Язык: Английский

Процитировано

86
Invasive Insect Species: Global Challenges, Strategies & Opportunities DOI Creative Commons
Robert C. Venette, W. D. Hutchison

Frontiers in Insect Science, Год журнала: 2021, Номер 1

Опубликована: Апрель 8, 2021

SPECIALTY GRAND CHALLENGE article Front. Insect Sci., 08 April 2021 | https://doi.org/10.3389/finsc.2021.650520

Язык: Английский

Процитировано

70
New species and new records of exotic Scolytinae (Coleoptera, Curculionidae) in Europe DOI Creative Commons
Matteo Marchioro, Massimo Faccoli,

Marialuisa Dal Cortivo

и другие.

Biodiversity Data Journal, Год журнала: 2022, Номер 10

Опубликована: Окт. 21, 2022

Bark and ambrosia beetles (Coleoptera, Scolytinae) are amongst the most important wood-boring insects introduced to Europe. During field investigations conducted between 2019 2021 in different countries regions of Europe, many exotic species have been recorded providing new relevant data. Dryoxylon onoharaense (Murayama, 1933) is Europe for first time. Xyleborinus attenuatus (Blandford, 1894) a Italy, while Xylosandrus germanus 1894), Hypothenemus eruditus (Westwood, 1836) Amasa sp. near A. truncata country records Portugal. Cnestus mutilatus Phloeotribus liminaris (Harris, 1852) were collected Italy was France after discovery, confirming their establishment dispersal into areas.

Язык: Английский

Процитировано

50