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Monitoring the abundance of flying insects and atmospheric conditions during a 9-month campaign using an entomological optical sensor

Monitoring the dynamics of insect populations is key to assessing the impact of human activities on insect populations. However, traditional methodologies relying on physical traps have inherent limitations in accurately monitoring insect abundance. Here, we present findings from a 9-month campaign...

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Autores principales: Saha, Topu, Genoud, Adrien P., Williams, Gregory M., Thomas, Benjamin P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10511543/
https://www.ncbi.nlm.nih.gov/pubmed/37731042
http://dx.doi.org/10.1038/s41598-023-42884-7
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author Saha, Topu
Genoud, Adrien P.
Williams, Gregory M.
Thomas, Benjamin P.
author_facet Saha, Topu
Genoud, Adrien P.
Williams, Gregory M.
Thomas, Benjamin P.
author_sort Saha, Topu
collection PubMed
description Monitoring the dynamics of insect populations is key to assessing the impact of human activities on insect populations. However, traditional methodologies relying on physical traps have inherent limitations in accurately monitoring insect abundance. Here, we present findings from a 9-month campaign conducted in New Jersey, USA, utilizing a near-infrared optical sensor known as eBoss. From April to December 2022, the eBoss derived the aerial density (insect/m(3)) and biomass density (mg/m(3)) with a 1-min resolution from a total of 302,093 insect observations. The data collected were analyzed in relation to air temperature, relative humidity, and wind speed. The results revealed that the abundance of flying insects exhibited an initial increase from April to June, reaching a peak of 0.094 insect/m(3) and 1.34 mg/m(3), followed by a subsequent decline towards the end of the year. Our investigation showed a surge in insect abundance above 12.5 °C, with particularly high levels observed between 19 and 31 °C. The impact of relative humidity and wind speed on insect populations was also explored. Overall, this campaign demonstrated the efficacy of photonic sensors in gathering novel and extensive data for the field of entomology, paving the way for improved understanding and management of insect populations.
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spelling pubmed-105115432023-09-22 Monitoring the abundance of flying insects and atmospheric conditions during a 9-month campaign using an entomological optical sensor Saha, Topu Genoud, Adrien P. Williams, Gregory M. Thomas, Benjamin P. Sci Rep Article Monitoring the dynamics of insect populations is key to assessing the impact of human activities on insect populations. However, traditional methodologies relying on physical traps have inherent limitations in accurately monitoring insect abundance. Here, we present findings from a 9-month campaign conducted in New Jersey, USA, utilizing a near-infrared optical sensor known as eBoss. From April to December 2022, the eBoss derived the aerial density (insect/m(3)) and biomass density (mg/m(3)) with a 1-min resolution from a total of 302,093 insect observations. The data collected were analyzed in relation to air temperature, relative humidity, and wind speed. The results revealed that the abundance of flying insects exhibited an initial increase from April to June, reaching a peak of 0.094 insect/m(3) and 1.34 mg/m(3), followed by a subsequent decline towards the end of the year. Our investigation showed a surge in insect abundance above 12.5 °C, with particularly high levels observed between 19 and 31 °C. The impact of relative humidity and wind speed on insect populations was also explored. Overall, this campaign demonstrated the efficacy of photonic sensors in gathering novel and extensive data for the field of entomology, paving the way for improved understanding and management of insect populations. Nature Publishing Group UK 2023-09-20 /pmc/articles/PMC10511543/ /pubmed/37731042 http://dx.doi.org/10.1038/s41598-023-42884-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Saha, Topu
Genoud, Adrien P.
Williams, Gregory M.
Thomas, Benjamin P.
Monitoring the abundance of flying insects and atmospheric conditions during a 9-month campaign using an entomological optical sensor
title Monitoring the abundance of flying insects and atmospheric conditions during a 9-month campaign using an entomological optical sensor
title_full Monitoring the abundance of flying insects and atmospheric conditions during a 9-month campaign using an entomological optical sensor
title_fullStr Monitoring the abundance of flying insects and atmospheric conditions during a 9-month campaign using an entomological optical sensor
title_full_unstemmed Monitoring the abundance of flying insects and atmospheric conditions during a 9-month campaign using an entomological optical sensor
title_short Monitoring the abundance of flying insects and atmospheric conditions during a 9-month campaign using an entomological optical sensor
title_sort monitoring the abundance of flying insects and atmospheric conditions during a 9-month campaign using an entomological optical sensor
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10511543/
https://www.ncbi.nlm.nih.gov/pubmed/37731042
http://dx.doi.org/10.1038/s41598-023-42884-7
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