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Acoustic Indices Reveal Fundamental Differences in Daily Phenology of Tropical and Temperate Forest Soundscapes

  • Laura M. Berman*
  • , Santiago Perea
  • , H. S.Sathya Chandra Sagar
  • , Maia Persche
  • , Grace Ingram
  • , Tatiana Maeda
  • , Natalie Yoh
  • , Jorg Müller
  • , Jens Schlüter
  • , Nicolas Zapata
  • , Ciara Wirth
  • , Gonzalo Rivas-Torres
  • , Carlos Valle-Piñuela
  • , Ignacio J. Moreno-Buitrón
  • , Luis Ganchozo Intriago
  • , Froilan Macanilla Grefa
  • , Jose Macanilla Grefa
  • , Carla Mere
  • , Elena Chaboteaux
  • , Alejandro Lopera-Toro
  • Felicity Edwards, Walter Mbamy, Serge Ekazama Koto, Graden Z.L. Froese, Frank E. Rheindt, Ulmar Grafe, Hanyrol Hanyzan Ahmad Sah, Zuzana Buřivalová
*Corresponding author for this work
  • University of Wisconsin-Madison
  • National University of Singapore
  • University of Kent
  • University of Würzburg
  • Bavarian Forest National Park
  • Universidad San Francisco de Quito
  • Andes Amazon Fund - New Venture Fund
  • Manu Biological Station
  • Royal Society for the Protection of Birds
  • Agence Nationale des Parcs Nationaux
  • Nsombou Abalghe-Dzal Association
  • Université Omar Bongo
  • University of Lausanne
  • Institut de Recherche en Ecologie Tropicale
  • Universiti Brunei Darussalam

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Aim: Forests support the majority of the planet's terrestrial biodiversity, and in recent years the characterisation of soundscapes has emerged as a powerful tool for understanding forest ecosystems, both in terms of ecology and for the purpose of conservation. But it is still poorly understood to what extent generalisations can be made about soundscapes in different parts of the world, and to what extent we should expect soundscapes to differ regionally. Here, we characterise the dominant acoustic features of forest soundscapes on a global scale and establish baseline expectations for how acoustic indices vary among biogeographic realms and biomes. Location: Forests in Brunei, Ecuador, Gabon, Germany, Peru, Singapore, Sierra Leone and the USA, a dataset spanning two biomes and five out of six global biogeographic realms where forests occur. Time Period: Two to five weeks of continuous audio data from each site collected between 2020 and 2024. Major Taxa: Birds, amphibians, insects and mammals. Methods: Stratifying data by time and frequency, we calculated four acoustic indices. Principal components analysis was used to compare the similarity of soundscapes across sites. Results: Temperate and tropical forest soundscapes clustered separately in principal component analysis. Temperate forests had soundscapes which were uniformly loud during the day across all frequencies and were generally quiet at night. In contrast, all tropical locations had complex soundscapes during both day and night and had banding patterns suggestive of a high diversity of soniferous insects. These banding patterns were created by the unique soniferous community at each site, causing the ‘acoustic fingerprint’ of each site to be most similar to other sites in the same ecoregion and in the same biogeographic realm. The ‘acoustic fingerprints’ of temperate forest differentiated between ecoregions only when dawn was considered separately. Main Conclusions: Our results stress the importance of using regional specific baseline data, as soundscapes are not necessarily comparable. Ecoacoustics is growing in popularity as an ecosystem monitoring tool, and understanding how forest soundscapes vary naturally across the globe can provide much needed context for studies that seek to understand factors that may disrupt or alter those soundscapes.

Original languageEnglish
Article numbere70224
JournalGlobal Ecology and Biogeography
Volume35
Issue number3
DOIs
StatePublished - Mar 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 15 - Life on Land
    SDG 15 Life on Land

Keywords

  • bioacoustics
  • global
  • phenology
  • soundscape
  • temperate forest
  • tropical forest

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