Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Lidar reveals distinct insect daily activity and diversity between habitats

Doria Yamoa, Assoumou S ; Kouakou, Benoit K ; Gbogbo, Adolphe Y ; Runemark, Anna LU ; van Klink, Roel ; Zoueu, Jeremie T and Brydegaard, Mikkel LU (2025) In Scientific Reports 15(1).
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... (More)

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.

(Less)
Please use this url to cite or link to this publication:
author
; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Scientific Reports
volume
15
issue
1
article number
43544
publisher
Nature Publishing Group
external identifiers
  • pmid:41272200
ISSN
2045-2322
DOI
10.1038/s41598-025-27432-9
language
English
LU publication?
yes
additional info
© 2025. The Author(s).
id
af907b98-67fb-4990-84df-04ab323da58a
date added to LUP
2025-12-01 12:13:00
date last changed
2025-12-19 16:20:04
@article{af907b98-67fb-4990-84df-04ab323da58a,
  abstract     = {{<p>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.</p>}},
  author       = {{Doria Yamoa, Assoumou S and Kouakou, Benoit K and Gbogbo, Adolphe Y and Runemark, Anna and van Klink, Roel and Zoueu, Jeremie T and Brydegaard, Mikkel}},
  issn         = {{2045-2322}},
  language     = {{eng}},
  month        = {{11}},
  number       = {{1}},
  publisher    = {{Nature Publishing Group}},
  series       = {{Scientific Reports}},
  title        = {{Lidar reveals distinct insect daily activity and diversity between habitats}},
  url          = {{http://dx.doi.org/10.1038/s41598-025-27432-9}},
  doi          = {{10.1038/s41598-025-27432-9}},
  volume       = {{15}},
  year         = {{2025}},
}