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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。

Continuous monitoring of aerial density and circadian rhythms of flying insects in a semi-urban environment.

机构信息

Department of Physics, New Jersey Institute of Technology, Newark, New Jersey, United States of America.

Center for Vector Biology, Rutgers University, New Brunswick, New Jersey, United States of America.

出版信息

PLoS One. 2021 Nov 18;16(11):e0260167. doi: 10.1371/journal.pone.0260167. eCollection 2021.

Abstract

Although small in size, insects are a quintessential part of terrestrial ecosystems due to their large number and diversity. While captured insects can be thoroughly studied in laboratory conditions, their population dynamics and abundance in the wild remain largely unknown due to the lack of accurate methodologies to count them. Here, we present the results of a field experiment where the activity of insects has been monitored continuously over 3 months using an entomological stand-off optical sensor (ESOS). Because its near-infrared laser is imperceptible to insects, the instrument provides an unbiased and absolute measurement of the aerial density (flying insect/m3) with a temporal resolution down to the minute. Multiple clusters of insects are differentiated based on their wingbeat frequency and ratios between wing and body optical cross-sections. The collected data allowed for the study of the circadian rhythm and daily activities as well as the aerial density dynamic over the whole campaign for each cluster individually. These measurements have been compared with traps for validation of this new methodology. We believe that this new type of data can unlock many of the current limitations in the collection of entomological data, especially when studying the population dynamics of insects with large impacts on our society, such as pollinators or vectors of infectious diseases.

摘要

尽管昆虫体积小,但由于数量庞大且种类多样,它们是陆地生态系统的重要组成部分。虽然在实验室条件下可以对捕获的昆虫进行深入研究,但由于缺乏准确的计数方法,它们在野外的种群动态和丰度在很大程度上仍是未知的。在这里,我们展示了一项野外实验的结果,该实验使用昆虫离轴光学传感器 (ESOS) 连续监测昆虫活动达 3 个月。由于其近红外激光对昆虫不可见,该仪器可以提供一个无偏且绝对的空中密度(飞行昆虫/立方米)测量,时间分辨率低至分钟。根据翅膀的拍打频率以及翅膀和身体光学横截面积之间的比值,可以区分多个昆虫群。收集的数据允许对每个集群进行昼夜节律和日常活动以及整个实验期间的空中密度动态进行研究。这些测量结果已与陷阱进行了比较,以验证这种新方法的有效性。我们相信,这种新型数据可以解决当前在昆虫学数据收集方面的许多限制,特别是在研究对我们社会有重大影响的昆虫(例如传粉媒介或传染病的载体)的种群动态时。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5262/8601533/7ffb9bb7bf95/pone.0260167.g001.jpg

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