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Insects
Special Issues
Monitoring and Management of Invasive Insect Pests
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Monitoring and Management of Invasive Insect Pests

A special issue of Insects (ISSN 2075-4450). This special issue belongs to the section "Insect Pest and Vector Management".

Deadline for manuscript submissions: 31 May 2024 | Viewed by 3309

Special Issue Editors

Prof. Dr. Yijuan Xu

E-Mail Website
Guest Editor
Department of Entomology, South China Agricultural University, Guangzhou 510642, China
Interests: invasive ants; tephritid fruit flies; ecological control; ant-hemipterans mutualism; interspecific competition; gut bacteria
Prof. Dr. Zhongshi Zhou

E-Mail Website
Guest Editor
1. State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China
2. National Nanfan Research Institute, Chinese Academy of Agricultural Sciences, Sanya 572019, China
Interests: biological control; integrated pest management; invasive species; insect ecology; invasive insect-host plant-native insect interactions; insect behavior
Prof. Dr. Xueqing Yang

E-Mail Website
Guest Editor
College of Plant Protection, Shenyang Agricultural University, Shenyang 110866, China
Interests: integrated pest management; invasive species; insecticide resistance mechanisms; sterile insect technique

Special Issue Information

Dear Colleagues,

Biological invasion is a topic of global concern, and invasive insect pests are one of the most troubling groups of invasive species. These invasive insect pests cause serious economic losses and lead to grave impacts on agriculture and the ecological environment in invaded areas every year. Therefore, this Special Issue aims to publish the latest research results in the field of population monitoring and the management of invasive insect pests. The scope of this Special Issue includes, but is not be limited to, the following topics: molecular diagnostics, remote intelligent monitoring, quarantine treatment, early eradication, emergency response actions, biological control, and integrated pest management.

Prof. Dr. Yijuan Xu
Prof. Dr. Zhongshi Zhou
Prof. Dr. Xueqing Yang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Insects is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • invasive insect pest
  • molecular diagnostics
  • remote intelligent monitoring
  • quarantine treatment
  • behavior ecology
  • emergency response actions
  • biological control
  • integrated pest management

Published Papers (4 papers)

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Research

11 pages, 861 KiB  
Article
The Combination of Citrus Rootstock and Scion Cultivar Influences Trioza erytreae (Hemiptera: Triozidae) Survival, Preference Choice and Oviposition
by María Quintana-González de Chaves, Nancy Montero-Gomez, Carlos Álvarez-Acosta, Estrella Hernández-Suárez, Aurea Hervalejo, Juan M. Arjona-López and Francisco J. Arenas-Arenas
Insects 2024, 15(5), 363; https://doi.org/10.3390/insects15050363 - 16 May 2024
Viewed by 514
Abstract
Trioza erytreae (Del Guercio, 1918) (Hemiptera: Triozidae) is a citrus pest which produces gall symptoms on leaves and transmits bacteria associated with the citrus disease Huanglongbing, ‘Candidatus Liberibacter’ spp. In the present work, the biology and behaviour of T. erytreae were studied [...] Read more.
Trioza erytreae (Del Guercio, 1918) (Hemiptera: Triozidae) is a citrus pest which produces gall symptoms on leaves and transmits bacteria associated with the citrus disease Huanglongbing, ‘Candidatus Liberibacter’ spp. In the present work, the biology and behaviour of T. erytreae were studied in different rootstock–cultivar combinations. Six rootstocks were used, Flying dragon (FD), ‘Cleopatra’ mandarin (CL), Carrizo citrange (CC), Forner-Alcaide no.5 (FA5), Forner-Alcaide no.517 (FA517) and Citrus macrophylla (CM), and six scion cultivars: ‘Star Ruby’, ‘Clemenules’, ‘Navelina’, ‘Valencia Late’, ‘Fino 49’ and ‘Ortanique’. Survival and oviposition were evaluated in a no-choice trial, and preference in a choice trial, all of them under greenhouse conditions. Trioza erytreae did not show a clear settle preference for any citrus combination. However, it was able to lay more eggs in ‘Fino 49’ grafted on CC than on FD. In terms of survival, ‘Ortanique’ grafted onto FA5 was more suitable than when grafted onto FA517, and in the case of ‘Valencia Late’, when it was grafted onto CM rather than CC. Our results showed that T. erytreae behave differently depending on the citrus combination. Full article
(This article belongs to the Special Issue Monitoring and Management of Invasive Insect Pests)
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16 pages, 10525 KiB  
Article
Exploring the Dynamic Invasion Pattern of the Black-Headed Fall Webworm in China: Susceptibility to Topography, Vegetation, and Human Activities
by Fan Shao, Jie Pan, Xinquan Ye and Gaosheng Liu
Insects 2024, 15(5), 349; https://doi.org/10.3390/insects15050349 - 13 May 2024
Viewed by 553
Abstract
The fall webworm (FWW), H. cunea (Drury) (Lepidoptera: Erebidae: Arctiidae), is an extremely high-risk globally invasive pest. Understanding the invasion dynamics of invasive pests and identifying the critical factors that promote their spread is essential for devising practical and efficient strategies for their [...] Read more.
The fall webworm (FWW), H. cunea (Drury) (Lepidoptera: Erebidae: Arctiidae), is an extremely high-risk globally invasive pest. Understanding the invasion dynamics of invasive pests and identifying the critical factors that promote their spread is essential for devising practical and efficient strategies for their control and management. The invasion dynamics of the FWW and its influencing factors were analyzed using standard deviation ellipse and spatial autocorrelation methods. The analysis was based on statistical data on the occurrence of the FWW in China. The dissemination pattern of the FWW between 1979 and 2022 followed a sequence of “invasion-occurrence-transmission-outbreak”, spreading progressively from coastal to inland regions. Furthermore, areas with high nighttime light values, abundant ports, and non-forested areas with low vegetation cover at altitudes below 500 m were more likely to be inhabited by the black-headed FWW. The dynamic invasion pattern and the driving factors associated with the fall webworm (FWW) provide critical insights for future FWW management strategies. These strategies serve not only to regulate the dissemination of insects and diminish migratory tendencies but also to guarantee the implementation of efficient early detection systems and prompt response measures. Full article
(This article belongs to the Special Issue Monitoring and Management of Invasive Insect Pests)
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21 pages, 21825 KiB  
Article
A Time-Frequency Domain Mixed Attention-Based Approach for Classifying Wood-Boring Insect Feeding Vibration Signals Using a Deep Learning Model
by Weizheng Jiang, Zhibo Chen and Haiyan Zhang
Insects 2024, 15(4), 282; https://doi.org/10.3390/insects15040282 - 16 Apr 2024
Viewed by 746
Abstract
Wood borers, such as the emerald ash borer and holcocerus insularis staudinger, pose a significant threat to forest ecosystems, causing damage to trees and impacting biodiversity. This paper proposes a neural network for detecting and classifying wood borers based on their feeding vibration [...] Read more.
Wood borers, such as the emerald ash borer and holcocerus insularis staudinger, pose a significant threat to forest ecosystems, causing damage to trees and impacting biodiversity. This paper proposes a neural network for detecting and classifying wood borers based on their feeding vibration signals. We utilize piezoelectric ceramic sensors to collect drilling vibration signals and introduce a novel convolutional neural network (CNN) architecture named Residual Mixed Domain Attention Module Network (RMAMNet).The RMAMNet employs both channel-domain attention and time-domain attention mechanisms to enhance the network’s capability to learn meaningful features. The proposed system outperforms established networks, such as ResNet and VGG, achieving a recognition accuracy of 95.34% and an F1 score of 0.95. Our findings demonstrate that RMAMNet significantly improves the accuracy of wood borer classification, indicating its potential for effective pest monitoring and classification tasks. This study provides a new perspective and technical support for the automatic detection, classification, and early warning of wood-boring pests in forestry. Full article
(This article belongs to the Special Issue Monitoring and Management of Invasive Insect Pests)
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14 pages, 3467 KiB  
Article
Hypervolume Niche Dynamics and Global Invasion Risk of Phenacoccus solenopsis under Climate Change
by Shaopeng Cui, Huisheng Zhang, Lirui Liu, Weiwei Lyu, Lin Xu, Zhiwei Zhang and Youzhi Han
Insects 2024, 15(4), 250; https://doi.org/10.3390/insects15040250 - 5 Apr 2024
Viewed by 1002
Abstract
As a globally invasive quarantine pest, the cotton mealybug, Phenacoccus solenopsis, is spreading rapidly, posing serious threats against agricultural and forestry production and biosecurity. In recent years, the niche conservatism hypothesis has been widely debated, which is particularly evident in invasive biology [...] Read more.
As a globally invasive quarantine pest, the cotton mealybug, Phenacoccus solenopsis, is spreading rapidly, posing serious threats against agricultural and forestry production and biosecurity. In recent years, the niche conservatism hypothesis has been widely debated, which is particularly evident in invasive biology research. Identifying the niche dynamics of P. solenopsis, as well as assessing its global invasion risk, is of both theoretical and practical importance. Based on 462 occurrence points and 19 bioclimatic variables, we used n-dimensional hypervolume analysis to quantify the multidimensional climatic niche of this pest in both its native and invasive ranges. We examined niche conservatism and further optimized the MaxEnt model parameters to predict the global invasion risk of P. solenopsis under both current and future climate conditions. Our findings indicated that the niche hypervolume of this pest in invasive ranges was significantly larger than that in its native ranges, with 99.45% of the niche differentiation contributed by niche expansion, with the remaining less than 1% explained by space replacement. Niche expansion was most evident in Oceania and Eurasia. The area under the receiver operating characteristic curve (0.83) and true skill statistic (0.62) indicated the model’s robust performance. The areas of suitable habitats for P. solenopsis are increasing significantly and the northward spread is obvious in future climate change scenarios. North Africa, northern China, Mediterranean regions, and northern Europe had an increased invasion risk of P. solenopsis. This study provided scientific support for the early warning and control of P. solenopsis. Full article
(This article belongs to the Special Issue Monitoring and Management of Invasive Insect Pests)
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