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Stratification of insect diversity and daily activity patterns in the West African virgin forest Taï assessed by entomological Lidar

Månefjord, Hampus LU orcid ; Yamoa, Assoumou Saint-Doria ; Gbogbo, Yatana Adolphe ; Müller, Lauro LU ; Runemark, Anna LU ; Kouakou, Benoit Kouassi ; Boateng, Rabbi ; Huzortey, Andrew Atiogbe ; Badu, Isaac Kwame and Wahlberg, Niklas LU , et al. (2025) In Scientific Reports 15.
Abstract

Lidar technology was utilized to non-destructively explore the diverse insect life in the Taï virgin forest of Côte d'Ivoire. This study employed an entomological Lidar scanned at different elevation angles, combined with traditional insect trapping at different canopy heights, to investigate the composition and spatial-temporal distribution of insects within the forest canopy. We detected stratified patterns of insect activity at various canopy heights, revealing differences in the composition of Lidar signals reflecting divergent species composition with height and time-of-day, indicative of height-dependent insect biodiversity. The optical properties of captured insects, including wing specularity and polarimetric response, were... (More)

Lidar technology was utilized to non-destructively explore the diverse insect life in the Taï virgin forest of Côte d'Ivoire. This study employed an entomological Lidar scanned at different elevation angles, combined with traditional insect trapping at different canopy heights, to investigate the composition and spatial-temporal distribution of insects within the forest canopy. We detected stratified patterns of insect activity at various canopy heights, revealing differences in the composition of Lidar signals reflecting divergent species composition with height and time-of-day, indicative of height-dependent insect biodiversity. The optical properties of captured insects, including wing specularity and polarimetric response, were analyzed and correlated with Lidar signals, revealing distinct insect clusters and activity patterns at different canopy heights. These findings show the potential of using Lidar to non-invasively assess insect diversity continuously across complex canopies to uncover species composition in ecosystems with high species diversity.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Animals, Biodiversity, Insecta/physiology, Forests, Cote d'Ivoire, Ecosystem, Entomology/methods
in
Scientific Reports
volume
15
article number
25663
publisher
Nature Publishing Group
external identifiers
  • scopus:105010719907
  • pmid:40664753
  • pmid:40664753
ISSN
2045-2322
DOI
10.1038/s41598-025-05200-z
language
English
LU publication?
yes
id
44b94c66-bf49-42c3-85ba-a517fc27c3fb
date added to LUP
2025-07-17 07:07:50
date last changed
2025-08-14 10:05:57
@article{44b94c66-bf49-42c3-85ba-a517fc27c3fb,
  abstract     = {{<p>Lidar technology was utilized to non-destructively explore the diverse insect life in the Taï virgin forest of Côte d'Ivoire. This study employed an entomological Lidar scanned at different elevation angles, combined with traditional insect trapping at different canopy heights, to investigate the composition and spatial-temporal distribution of insects within the forest canopy. We detected stratified patterns of insect activity at various canopy heights, revealing differences in the composition of Lidar signals reflecting divergent species composition with height and time-of-day, indicative of height-dependent insect biodiversity. The optical properties of captured insects, including wing specularity and polarimetric response, were analyzed and correlated with Lidar signals, revealing distinct insect clusters and activity patterns at different canopy heights. These findings show the potential of using Lidar to non-invasively assess insect diversity continuously across complex canopies to uncover species composition in ecosystems with high species diversity.</p>}},
  author       = {{Månefjord, Hampus and Yamoa, Assoumou Saint-Doria and Gbogbo, Yatana Adolphe and Müller, Lauro and Runemark, Anna and Kouakou, Benoit Kouassi and Boateng, Rabbi and Huzortey, Andrew Atiogbe and Badu, Isaac Kwame and Wahlberg, Niklas and Brydegaard, Mikkel and Zoueu, Jérémie T and Anderson, Benjamin and Li, Meng}},
  issn         = {{2045-2322}},
  keywords     = {{Animals; Biodiversity; Insecta/physiology; Forests; Cote d'Ivoire; Ecosystem; Entomology/methods}},
  language     = {{eng}},
  month        = {{07}},
  publisher    = {{Nature Publishing Group}},
  series       = {{Scientific Reports}},
  title        = {{Stratification of insect diversity and daily activity patterns in the West African virgin forest Taï assessed by entomological Lidar}},
  url          = {{http://dx.doi.org/10.1038/s41598-025-05200-z}},
  doi          = {{10.1038/s41598-025-05200-z}},
  volume       = {{15}},
  year         = {{2025}},
}