Invasive alien plant species: Their impact on environment, ecosystem services and human health

Ecological Indicators, Journal Year: 2020, Volume and Issue: 111, P. 106020 - 106020

Published: Jan. 9, 2020

Language: Английский

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Deep learning and computer vision will transform entomology

Proceedings of the National Academy of Sciences, Journal Year: 2021, Volume and Issue: 118(2)

Published: Jan. 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.

Language: Английский

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Bark Beetle Outbreaks in Europe: State of Knowledge and Ways Forward for Management

Current Forestry Reports, Journal Year: 2021, Volume and Issue: 7(3), P. 138 - 165

Published: July 28, 2021

Language: Английский

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Prospects and challenges of implementing DNA metabarcoding for high-throughput insect surveillance

GigaScience, Journal Year: 2019, Volume and Issue: 8(8)

Published: July 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.

Language: Английский

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Insect pest monitoring with camera-equipped traps: strengths and limitations

Journal of Pest Science, Journal Year: 2020, Volume and Issue: 94(2), P. 203 - 217

Published: Dec. 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.

Language: Английский

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Genomic biosurveillance of forest invasive alien enemies: A story written in code

Evolutionary Applications, Journal Year: 2019, Volume and Issue: 13(1), P. 95 - 115

Published: Aug. 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.

Language: Английский

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Human-mediated dispersal in insects

Current Opinion in Insect Science, Journal Year: 2019, Volume and Issue: 35, P. 96 - 102

Published: July 15, 2019

Language: Английский

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Palmageddon: the wasting of ornamental palms by invasive palm weevils, Rhynchophorus spp.

Journal of Pest Science, Journal Year: 2018, Volume and Issue: 92(1), P. 143 - 156

Published: Sept. 20, 2018

Language: Английский

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Drivers of global Scolytinae invasion patterns

Ecological Applications, Journal Year: 2020, Volume and Issue: 30(5)

Published: Feb. 22, 2020

Abstract Biological invasions are affected by characteristics of invading species, strength pathway connectivity among world regions and habitat invaded regions. These factors may interact in complex ways to drive geographical variation numbers Understanding the role these drivers provides information that is crucial development effective biosecurity policies. Here we assemble for first time a global database historical Scolytinae species explore explaining different This insect group includes several pest with massive economic ecological impacts beetles known be accidentally moved wood packaging trade. Candidate explanatory included this analysis cumulative trade regions, size source pools, forest area, climatic similarity region Species capable sib‐mating comprised highest proportion on nonnative Scolytines, colonized higher number than outbreeders. The pools offered little power nor did climate or area. In contrast, had strong consistent positive relationship moving from one another, effect was bark beetles, followed ambrosia low seed twig feeders. We conclude Scolytine primarily driven levels Results stress importance as primary driver anticipate other hitchhiking would exhibit similar patterns. One implication results between certain historically because past but future shifts could result large new increased previously isolated portions world. With changing flow goods it efforts keep pace minimize their impacts.

Language: Английский

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Invasive Insect Species: Global Challenges, Strategies & Opportunities

Frontiers in Insect Science, Journal Year: 2021, Volume and Issue: 1

Published: April 8, 2021

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

Language: Английский

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