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Cited by 36Animal Vocal Communication and BehaviorWildlife Ecology and ConservationEcology and Vegetation Dynamics Studies

Loss of temporal structure of tropical soundscapes with intensifying land use in Borneo

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Burivalova, Z., Maeda, T.M., Purnomo, Rayadin, Y., Boucher, T., Choksi, P., Roe, P., Truskinger, A. +1 more·2022·Science of The Total Environment
DOI 10.1016/j.scitotenv.2022.158268
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Abstract

Conservation and sustainable management efforts in tropical forests often lack reliable, effective, and easily-communicated ways to measure the biodiversity status of a protected or managed landscape. The sounds that many tropical species make can be recorded by pre-programmed devices and analysed to yield measures of biodiversity. Interpreting the resulting soundscapes has developed along two paths: analysing the whole soundscape using acoustic indices, used as a proxy of biodiversity, or focusing on individual species that can be either manually or automatically recognized from the soundscape. Here we develop an intermediate approach to divide the soundscape into frequency categories belonging to broad taxonomic groups of vocalizing animals. While the method was unable to distinguish between amphibian and mammal communities, it was successful in assigning parts of the soundscape as likely produced by birds and insects. Applying the approach in Borneo revealed that, with increasing land use intensity, i) the spectral saturation of the soundscape, a proxy of species richness, loses dawn and dusk peaks, ii) bird acoustic communities lose recurrent diurnal patterns, becoming less synchronized across sites, and that iii) insect Soundscape Saturation increases at night. If soundscapes are partitioned similarly in different regions, our method could be used to bridge soundscape-level and individual-species level analyses. Regaining dawn and dusk peaks, the synchrony of bird acoustic communities, and losing nocturnal dominance of insect could be used as a set of simple indicators of tropical forest retaining high levels of biodiversity.

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  • Sound diversity, expressed via the Soundscape Saturation Index, declined and became less synchronized with forest fragmentation and loss in Papua New Guinea and Borneo.

    “Sound diversity, expressed via the Soundscape Saturation Index, declined and became less synchronized with forest fragmentation and loss in Papua New Guinea and Borneo19,20.”

    From Soundscapes and deep learning enable tracking biodiversity recovery in tropical forests (2023) · cites this paper as [19]

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Research works printed but not linked: 8

  1. Burivalova, Z., Lee, T.M., Giam, X., Wilcove, D.S., Koh, L.P., 2015. Avian responses to selective logging shaped by species traits and logging practices. Proc. R. Soc. B Biol.Sci. 282.
  2. Curtis, P.G., Slay, C.M., Harris, N.L., Tyukavina, A., Hansen, M.C., 2018. Classifying drivers of global forest loss. Science (80-.) 361, 1108-1111. https://doi.org/10.1126/science. · DOI · Paper page
  3. aau3445. · DOI · Paper page
  4. Farina, A., 2014. Soundscape Ecology: Principles, Patterns, Methods And Applications. Springer.
  5. Neville, F.H., 2014. Animal bioacoustics. In: Rossing, T. (Ed.), Springer Handbook of Acous- tics. Springer, pp. 473-491.
  6. Stowell, D., Stylianou, Y., Wood, M., Pamuła, H., Glotin, H., 2018. Automatic acoustic detec- tion of birds through deep learning: the first bird audio detection challenge. Methods Ecol. Evol. 1-13. https://doi.org/10.1016/j.proche.2015.10.014. · DOI
  7. Sun, Y., Maeda, T.M., Solis-Lemus, C., Pimentel-Alarcon, D., Burivalova, Z., 2021. Classifica- tion of animal sounds in a hyperdiverse rainforest using Convolutional Neural Networks. arXiv pre-print, pp. 1-18.
  8. Truskinger, A., Cottman-fields, M., Eichinski, P., Towsey, M., Roe, P., 2014. Practical analysis of big acoustic sensor data for environmental monitoring. IEEE Fourth International Con- ference on Big Data And Cloud Computing; Sydney, NSW, pp. 91-98.

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Authors
Burivalova, Z., Maeda, T. M., Purnomo, Rayadin, Y., Boucher, T., Choksi, P., Roe, P., Truskinger, A., & Game, E. T.
Affiliations
  • University of Wisconsin–Madison (US)
  • The Nature Conservancy (US)
  • Columbia University (US)
  • Queensland University of Technology (AU)
  • The University of Queensland (AU)
ORCID
Venue
Science of The Total Environment
Publisher
Elsevier BV
Published
2022-12
Volume
852
Pages
158268
ISSN
0048-9697 (ISSN-L)
DOI
10.1016/j.scitotenv.2022.158268
OpenAlex
W4294168433
Cited by
36
References
60
Citations by year
2026: 5 · 2025: 12 · 2024: 12 · 2023: 7
FWCI
7.12
Type
journal article
Language
en
Open access
Licence
Locations
  • The Science of The Total Environment (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • ResearchOnline - JCU (James Cook University) (submittedVersion)
Funders
  • Nature Conservancy
  • Wisconsin Alumni Research Foundation
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Developmental Biology › Animal Vocal Communication and Behavior
  • Physical Sciences › Environmental Science › Ecology › Wildlife Ecology and Conservation
  • Physical Sciences › Environmental Science › Nature and Landscape Conservation › Ecology and Vegetation Dynamics Studies
Keywords
land use intensity, spectral saturation, tropical forest conservation, Borneo
MeSH terms
Animals, Birds, Borneo, Conservation of Natural Resources, Mammals, Biodiversity, Forests

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