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A Collection of Best Practices for the Collection and Analysis of Bioacoustic Data

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  • Julie N. Oswald, University of St Andrews
  • ,
  • Amy M. Van Cise, University of Washington
  • ,
  • Angela Dassow, Carthage College
  • ,
  • Taffeta Elliott, New Mexico Institute of Mining and Technology
  • ,
  • Michael T. Johnson, University of Kentucky
  • ,
  • Andrea Ravignani
  • Jeffrey Podos, University of Massachusetts

The field of bioacoustics is rapidly developing and characterized by diverse methodologies, approaches and aims. For instance, bioacoustics encompasses studies on the perception of pure tones in meticulously controlled laboratory settings, documentation of species’ presence and activities using recordings from the field, and analyses of circadian calling patterns in animal choruses. Newcomers to the field are confronted with a vast and fragmented literature, and a lack of accessible reference papers or textbooks. In this paper we contribute towards filling this gap. Instead of a classical list of “dos” and “don’ts”, we review some key papers which, we believe, embody best practices in several bioacoustic subfields. In the first three case studies, we discuss how bioacoustics can help identify the ‘who’, ‘where’ and ‘how many’ of animals within a given ecosystem. Specifically, we review cases in which bioacoustic methods have been applied with success to draw inferences regarding species identification, population structure, and biodiversity. In fourth and fifth case studies, we highlight how structural properties in signal evolution can emerge via ecological constraints or cultural transmission. Finally, in a sixth example, we discuss acoustic methods that have been used to infer predator–prey dynamics in cases where direct observation was not feasible. Across all these examples, we emphasize the importance of appropriate recording parameters and experimental design. We conclude by highlighting common best practices across studies as well as caveats about our own overview. We hope our efforts spur a more general effort in standardizing best practices across the subareas we’ve highlighted in order to increase compatibility among bioacoustic studies and inspire cross-pollination across the discipline.

Original languageEnglish
Article number12046
JournalApplied Sciences (Switzerland)
Publication statusPublished - Dec 2022

Bibliographical note

Publisher Copyright:
© 2022 by the authors.

    Research areas

  • best practices, bioacoustics, population structure, signal evolution, species identification

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