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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 1411

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 (2 papers)

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Research

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://0-doi-org.brum.beds.ac.uk/10.3390/insects15040282 - 16 Apr 2024
Viewed by 383
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://0-doi-org.brum.beds.ac.uk/10.3390/insects15040250 - 05 Apr 2024
Viewed by 640
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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