Long-term monitoring and analysis of Brood X cicada activity by distributed fiber optic sensing technology

Author:

Ozharar Sarper1ORCID,Ware Jessica L2ORCID,Tian Yue1,Ding Yangmin1

Affiliation:

1. NEC Laboratories America Inc., 4 Independence Way , Princeton, NJ 08540 , USA

2. American Museum of Natural History, Division of Invertebrate Zoology , New York, NY 10024 , USA

Abstract

Abstract Brood X is the largest of the 15 broods of periodical cicadas, and individuals from this brood emerged across the Eastern United States in spring 2021. Using distributed acoustic sensing (DAS) technology, the activity of Brood X cicadas was monitored in their natural environment in Princeton, NJ. Critical information regarding their acoustic signatures and activity level is collected and analyzed using standard outdoor-grade telecommunication fiber cables. We believe these results have the potential to be a quantitative baseline for regional Brood X activity and pave the way for more detailed monitoring of insect populations to combat global insect decline. We also show that it is possible to transform readily available fiber optic networks into environmental sensors with no additional installation costs. To our knowledge, this is the first reported use case of a distributed fiber optic sensing system for entomological sciences and environmental studies.

Publisher

Oxford University Press (OUP)

Subject

Insect Science,General Medicine

Reference35 articles.

1. Distributed acoustic sensing using dark fiber for near-surface characterization and broadband seismic event detection;Ajo-Franklin;Sci Rep,2019

2. Studies on the acoustical behavior of seventeen-year cicadas (Homoptera: Cicadidae: Magicicada);Alexander;Ohio J Sci,1958

3. The evolutionary relationships of 17-year and 13-year cicadas, and three new species. (Homoptera: Cicadidae, Magicicada);Alexander;Univ Mich Mus Zool Misc Publ,1962

4. Fiber waveguides: a novel technique for investigating attenuation characteristics;Barnoski,1976

5. The scaling of song frequency in cicadas;Bennet-Clark;J Exp Biol,1994

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3