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A collection of best practices for the collection and analysis of bioacoustic data

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Date
25/11/2022
Author
Oswald, Julie N.
Van Cise, Amy M.
Dassow, Angela
Elliott, Taffeta
Johnson , Michael T.
Ravignani, Andrea
Podos, Jeffrey
Keywords
Bioacoustics
Best practices
Species identification
Population structure
Signal evolution
QH301 Biology
MCC
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Abstract
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.
Citation
Oswald , J N , Van Cise , A M , Dassow , A , Elliott , T , Johnson , M T , Ravignani , A & Podos , J 2022 , ' A collection of best practices for the collection and analysis of bioacoustic data ' , Applied Sciences , vol. 12 , no. 23 , 12046 . https://doi.org/10.3390/app122312046
Publication
Applied Sciences
Status
Peer reviewed
DOI
https://doi.org/10.3390/app122312046
ISSN
2076-3417
Type
Journal item
Rights
Copyright © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
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  • University of St Andrews Research
URI
http://hdl.handle.net/10023/26498

Items in the St Andrews Research Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

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