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Forest edge structure from terrestrial laser scanning to explain bird biophony characteristics from acoustic indices

Tom Verhelst (UGent) , Pieter Vangansbeke (UGent) , Pieter De Frenne (UGent) , Barbara D'hont (UGent) , Quentin Ponette, Luc Willems (UGent) , Hans Verbeeck (UGent) and Kim Calders (UGent)
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Abstract
Forest edges can be important strongholds for biodiversity and play a crucial role in the protection of forest interiors against edge effects. However, their potential to host biodiversity is dependent on the structure of the forest: Abrupt edges often fail to realise this potential. Yet, methods to accurately characterise and quantify forest edge abruptness are currently lacking. Here, we combine three-dimensional forest structural data with biodiversity monitoring to assess the influence of forest edge structure on habitat suitability. We derived several structural metrics to determine forest edge abruptness using terrestrial laser scanning and applied these to six forest edge transects in Belgium. The local soundscapes were captured using audio recording devices (Audiomoths) and quantified using acoustic indices (AIs) (metrics on the soundscape characteristics). In each transect, the dawn choruses were recorded over a period of a week, both at the edge and the interior of the forest. No correlation between the AIs and bird species richness was found. There were clear differences between transects in the structural metrics and the recorded soundscapes. Some possible relations between both were found. In this proof of concept, we demonstrated innovative techniques to semi-automatically classify forest structure and rapidly quantify soundscape characteristics and found a weak effect of forest edge structure on bird biophony.
Keywords
Nature and Landscape Conservation, Computers in Earth Sciences, Ecology, Ecology, Evolution, Behavior and Systematics, Acoustic indices, biodiversity monitoring, birds, forest edge structure, soundscapes, TLS, fornalab

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MLA
Verhelst, Tom, et al. “Forest Edge Structure from Terrestrial Laser Scanning to Explain Bird Biophony Characteristics from Acoustic Indices.” REMOTE SENSING IN ECOLOGY AND CONSERVATION, vol. 9, no. 5, 2023, pp. 615–27, doi:10.1002/rse2.334.
APA
Verhelst, T., Vangansbeke, P., De Frenne, P., D’hont, B., Ponette, Q., Willems, L., … Calders, K. (2023). Forest edge structure from terrestrial laser scanning to explain bird biophony characteristics from acoustic indices. REMOTE SENSING IN ECOLOGY AND CONSERVATION, 9(5), 615–627. https://doi.org/10.1002/rse2.334
Chicago author-date
Verhelst, Tom, Pieter Vangansbeke, Pieter De Frenne, Barbara D’hont, Quentin Ponette, Luc Willems, Hans Verbeeck, and Kim Calders. 2023. “Forest Edge Structure from Terrestrial Laser Scanning to Explain Bird Biophony Characteristics from Acoustic Indices.” REMOTE SENSING IN ECOLOGY AND CONSERVATION 9 (5): 615–27. https://doi.org/10.1002/rse2.334.
Chicago author-date (all authors)
Verhelst, Tom, Pieter Vangansbeke, Pieter De Frenne, Barbara D’hont, Quentin Ponette, Luc Willems, Hans Verbeeck, and Kim Calders. 2023. “Forest Edge Structure from Terrestrial Laser Scanning to Explain Bird Biophony Characteristics from Acoustic Indices.” REMOTE SENSING IN ECOLOGY AND CONSERVATION 9 (5): 615–627. doi:10.1002/rse2.334.
Vancouver
1.
Verhelst T, Vangansbeke P, De Frenne P, D’hont B, Ponette Q, Willems L, et al. Forest edge structure from terrestrial laser scanning to explain bird biophony characteristics from acoustic indices. REMOTE SENSING IN ECOLOGY AND CONSERVATION. 2023;9(5):615–27.
IEEE
[1]
T. Verhelst et al., “Forest edge structure from terrestrial laser scanning to explain bird biophony characteristics from acoustic indices,” REMOTE SENSING IN ECOLOGY AND CONSERVATION, vol. 9, no. 5, pp. 615–627, 2023.
@article{01H004HYTF0R1C492P5AJSTRAQ,
  abstract     = {{Forest edges can be important strongholds for biodiversity and play a crucial role in the protection of forest interiors against edge effects. However, their potential to host biodiversity is dependent on the structure of the forest: Abrupt edges often fail to realise this potential. Yet, methods to accurately characterise and quantify forest edge abruptness are currently lacking. Here, we combine three-dimensional forest structural data with biodiversity monitoring to assess the influence of forest edge structure on habitat suitability. We derived several structural metrics to determine forest edge abruptness using terrestrial laser scanning and applied these to six forest edge transects in Belgium. The local soundscapes were captured using audio recording devices (Audiomoths) and quantified using acoustic indices (AIs) (metrics on the soundscape characteristics). In each transect, the dawn choruses were recorded over a period of a week, both at the edge and the interior of the forest. No correlation between the AIs and bird species richness was found. There were clear differences between transects in the structural metrics and the recorded soundscapes. Some possible relations between both were found. In this proof of concept, we demonstrated innovative techniques to semi-automatically classify forest structure and rapidly quantify soundscape characteristics and found a weak effect of forest edge structure on bird biophony.}},
  author       = {{Verhelst, Tom and Vangansbeke, Pieter and De Frenne, Pieter and D'hont, Barbara and Ponette, Quentin and Willems, Luc and Verbeeck, Hans and Calders, Kim}},
  issn         = {{2056-3485}},
  journal      = {{REMOTE SENSING IN ECOLOGY AND CONSERVATION}},
  keywords     = {{Nature and Landscape Conservation,Computers in Earth Sciences,Ecology,Ecology, Evolution, Behavior and Systematics,Acoustic indices,biodiversity monitoring,birds,forest edge structure,soundscapes,TLS,fornalab}},
  language     = {{eng}},
  number       = {{5}},
  pages        = {{615--627}},
  title        = {{Forest edge structure from terrestrial laser scanning to explain bird biophony characteristics from acoustic indices}},
  url          = {{http://doi.org/10.1002/rse2.334}},
  volume       = {{9}},
  year         = {{2023}},
}

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