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监测蚊虫数量:光学传感器与诱捕方法的比较

Monitoring Mosquito Abundance: Comparing an Optical Sensor with a Trapping Method.

作者信息

Saha Topu, Genoud Adrien P, Williams Gregory M, Russell Gareth J, Thomas Benjamin P

机构信息

Department of Physics, New Jersey Institute of Technology, University Heights, Newark, NJ 07102, USA.

Centre national de la recherche scientifique, Institut Lumière Matière, Universite Claude Bernard Lyon 1, UMR5306, F-69622 Villeurbanne, France.

出版信息

Insects. 2024 Aug 1;15(8):584. doi: 10.3390/insects15080584.

DOI:10.3390/insects15080584
PMID:39194789
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11354719/
Abstract

Optical sensors have shown significant promise in offering additional data to track insect populations. This article presents a comparative study between abundance measurements obtained from a novel near-infrared optical sensor and physical traps. The optical instrument, named an Entomological Bistatic Optical Sensor System, or eBoss, is a non-destructive sensor operating in the near-infrared spectral range and designed to continuously monitor the population of flying insects. The research compares the mosquito aerial density (#/m) obtained through the eBoss with trap counts from eight physical traps during an eight-month field study. The eBoss recorded over 302,000 insect sightings and assessed the aerial density of all airborne insects as well as male and female mosquitoes specifically with a resolution of one minute. This capability allows for monitoring population trends throughout the season as well as daily activity peaks. The results affirmed the correlation between the two methods. While optical instruments do not match traps in terms of taxonomic accuracy, the eBoss offered greater temporal resolution (one minute versus roughly three days) and statistical significance owing to its much larger sample size. These outcomes further indicate that entomological optical sensors can provide valuable complementary data to more common methods to monitor flying insect populations, such as mosquitoes or pollinators.

摘要

光学传感器在提供额外数据以追踪昆虫种群方面已显示出巨大潜力。本文介绍了一项对新型近红外光学传感器与物理诱捕器所获丰度测量结果的比较研究。该光学仪器名为昆虫双基地光学传感器系统(Entomological Bistatic Optical Sensor System,简称eBoss),是一种在近红外光谱范围内运行的非破坏性传感器,旨在持续监测飞行昆虫的种群数量。这项研究在为期八个月的实地研究中,将通过eBoss获得的蚊子空中密度(#/m)与八个物理诱捕器的捕获数量进行了比较。eBoss记录了超过302,000次昆虫观测,并以一分钟的分辨率评估了所有空中昆虫以及特定的雄性和雌性蚊子的空中密度。这种能力有助于监测整个季节的种群趋势以及每日活动高峰。结果证实了两种方法之间的相关性。虽然光学仪器在分类准确性方面无法与诱捕器相比,但由于样本量更大,eBoss提供了更高的时间分辨率(一分钟对大约三天)和统计显著性。这些结果进一步表明,昆虫学光学传感器可以为监测飞行昆虫种群(如蚊子或传粉者)的更常见方法提供有价值的补充数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be68/11354719/089bff7fead2/insects-15-00584-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be68/11354719/308196504c34/insects-15-00584-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be68/11354719/9eb426f87db0/insects-15-00584-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be68/11354719/9fa513f9ce60/insects-15-00584-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be68/11354719/f793e5223bac/insects-15-00584-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be68/11354719/c02221adf817/insects-15-00584-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be68/11354719/4c43b44976fd/insects-15-00584-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be68/11354719/58c97548f294/insects-15-00584-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be68/11354719/089bff7fead2/insects-15-00584-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be68/11354719/308196504c34/insects-15-00584-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be68/11354719/9eb426f87db0/insects-15-00584-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be68/11354719/9fa513f9ce60/insects-15-00584-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be68/11354719/f793e5223bac/insects-15-00584-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be68/11354719/c02221adf817/insects-15-00584-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be68/11354719/4c43b44976fd/insects-15-00584-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be68/11354719/58c97548f294/insects-15-00584-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be68/11354719/089bff7fead2/insects-15-00584-g008.jpg

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本文引用的文献

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Temperature Dependency of Insect's Wingbeat Frequencies: An Empirical Approach to Temperature Correction.昆虫翅膀拍动频率的温度依赖性:温度校正的实证方法
Insects. 2024 May 10;15(5):342. doi: 10.3390/insects15050342.
2
An optical system to detect, surveil, and kill flying insect vectors of human and crop pathogens.一种用于检测、监测和杀灭携带人类和农作物病原体的飞行昆虫媒介的光学系统。
Sci Rep. 2024 Apr 8;14(1):8174. doi: 10.1038/s41598-024-57804-6.
3
Consistent traffic noise impacts few fitness-related traits in a field cricket.持续的交通噪音对田蟋蟀的少数与健康相关的特征没有影响。
BMC Ecol Evol. 2023 Dec 20;23(1):78. doi: 10.1186/s12862-023-02190-2.
4
Monitoring the abundance of flying insects and atmospheric conditions during a 9-month campaign using an entomological optical sensor.利用昆虫学光学传感器在 9 个月的活动期间监测飞行昆虫的丰度和大气条件。
Sci Rep. 2023 Sep 20;13(1):15606. doi: 10.1038/s41598-023-42884-7.
5
A New Approach for Detecting Sublethal Effects of Neonicotinoids on Bumblebees Using Optical Sensor Technology.一种利用光学传感器技术检测新烟碱类对大黄蜂亚致死效应的新方法。
Insects. 2023 Aug 17;14(8):713. doi: 10.3390/insects14080713.
6
Insect biomass density: measurement of seasonal and daily variations using an entomological optical sensor.昆虫生物量密度:使用昆虫学光学传感器测量季节和每日变化
Appl Phys B. 2023;129(2):26. doi: 10.1007/s00340-023-07973-5. Epub 2023 Jan 17.
7
Emerging technologies revolutionise insect ecology and monitoring.新兴技术正在彻底改变昆虫生态学和监测。
Trends Ecol Evol. 2022 Oct;37(10):872-885. doi: 10.1016/j.tree.2022.06.001. Epub 2022 Jul 8.
8
A novel optical sensor system for the automatic classification of mosquitoes by genus and sex with high levels of accuracy.一种新型的光学传感器系统,可实现对蚊子属和性别的自动分类,具有很高的准确性。
Parasit Vectors. 2022 Jun 6;15(1):190. doi: 10.1186/s13071-022-05324-5.
9
Continuous monitoring of aerial density and circadian rhythms of flying insects in a semi-urban environment.半城市环境中飞行昆虫的空中密度和昼夜节律的连续监测。
PLoS One. 2021 Nov 18;16(11):e0260167. doi: 10.1371/journal.pone.0260167. eCollection 2021.
10
Recent advances in the remote sensing of insects.昆虫遥感的最新进展。
Biol Rev Camb Philos Soc. 2022 Feb;97(1):343-360. doi: 10.1111/brv.12802. Epub 2021 Oct 5.