Cited by 46Animal Vocal Communication and BehaviorWildlife Ecology and ConservationEcology and Vegetation Dynamics Studies

The sound of logging: Tropical forest soundscape before, during, and after selective timber extraction

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Burivalova, Zuzana, Purnomo, Orndorff, Samantha, Truskinger, Anthony, Roe, Paul, Game, Edward T.·2021·Biological Conservation

Abstract

Over half of the world's tropical forests are used for timber extraction by selective logging. Even though these forests are degraded to a variable degree, they are still important for tropical forest biodiversity. It is not yet known how biodiversity is impacted during and immediately after logging, and how fast it recovers. Here, we use ecoacoustics, and specifically the recording and analysis of soundscape dawn time series, to monitor the immediate impact and early recovery of biodiversity after selective logging. We describe the results of capturing a dawn time series of soundscapes in a Bornean tropical lowland forest before, during, and after selective logging. Soundscape saturation, which is correlated with the number of different calls that make up the soundscape, dropped significantly immediately after selective logging was carried out. The reduced saturation was mostly due to the loss of bird vocalizations, whereas insects did not seem to be impacted. In a space-for-time recording from the same area, soundscape saturation during the equivalent time of day recovered after one year, however began to drop again in years 2 and 3 after logging. Our results are suggestive of a strong effect of logging and seasonality on tropical forest soundscapes. Being able to track biodiversity changes and recovery over time in tropical forests managed for timber production can ultimately improve our odds of avoiding more species extinctions, by providing evidence-based recommendations on how much time forests need to recover biodiversity.

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  1. Truskinger, A., Cottman-fields, M., Eichinski, P., Towsey, M., Roe, P., 2014. Practical Analysis of Big Acoustic Sensor Data for Environmental Monitoring, in: IEEE Fourth International Conference on Big Data and Cloud Computing; Sydney, NSW, pp. 91-98.

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Authors
Burivalova, Z., Purnomo, Orndorff, S., Truskinger, A., Roe, P., & Game, E. T.
Affiliations
  • University of Miami (US)
  • Queensland University of Technology (AU)
  • The University of Queensland (AU)
Venue
Biological Conservation
Publisher
Elsevier BV
Published
2021-02
Volume
254
Pages
108812
ISSN
0006-3207 (ISSN-L)
OpenAlex
W3123350633
Cited by
46
References
33
Citations by year
2026: 6 · 2025: 5 · 2024: 11 · 2023: 15 · 2022: 9
FWCI
8.19
Type
journal article
Language
en
Open access
Locations
  • Biological Conservation (publishedVersion, cc-by-nc-nd)
  • QUT ePrints (Queensland University of Technology) (submittedVersion, cc-by-nc-nd)
Funders
  • Science for Nature and People Partnership
  • Nature Conservancy
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
selective logging, ecoacoustics, dawn chorus, bird vocalizations, insect sounds, post-logging regeneration, biodiversity recovery, space-for-time substitution, seasonal variation, logging, forest degradation

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