Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/121775
Title: Lidar reveals distinct insect daily activity and diversity between habitats
Author(s): Doria Yamoa, Assoumou S.
Kouakou, Benoit K.
Gbogbo, Adolphe Y.
Runemark, Anna
Klink, Roel
Zoueu, Jeremie T.
Brydegaard, Mikkel
Issue Date: 2025
Type: Article
Language: English
Abstract: Entomological lidar can provide rapid, non-intrusive assessment of insect abundance, diversity and composition, and has the potential to shed light on species specific preferences for habitats or environmental conditions. However, few studies have to date demonstrated comparisons of insect diversity and abundance across sites using photonic methods. Here, we present a first comparative entomological lidar study spanning different habitat types, investigating if the method can uncover consistent differences in insect diversity and composition. Using a simple, robust and parameter free estimation of entomological signal diversity, we recover the largest total number of insect observations (1,716,362), the highest daily number of observations (346,581) and the highest number of clusters distinguishable from noise (353) reported to date. We demonstrate consistent differences between four sites in terms of abundance, diversity, composition, range distributions and daily activity patterns. We critically discuss possible biases, constraints and future challenges for physicists and ecologists employing entomological lidar for diversity estimation.
URI: https://opendata.uni-halle.de//handle/1981185920/123726
http://dx.doi.org/10.25673/121775
Open Access: Open access publication
License: (CC BY 4.0) Creative Commons Attribution 4.0(CC BY 4.0) Creative Commons Attribution 4.0
Journal Title: Scientific reports
Publisher: Springer Nature
Publisher Place: [London]
Volume: 15
Original Publication: 10.1038/s41598-025-27432-9
Page Start: 1
Page End: 14
Appears in Collections:Open Access Publikationen der MLU

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