Acoustic Complexity of vocal fish communities: a field and controlled validation

Scientific Reports
M BolganEric Parmentier

Abstract

The Acoustic Complexity Index (ACI) is increasingly applied to the study of biodiversity in aquatic habitats. However, it remains unknown which types of acoustic information are highlighted by this index in underwater environments. This study explored the robustness of the ACI to fine variations in fish sound abundance (i.e. number of sounds) and sound diversity (i.e. number of sound types) in field recordings and controlled experiments. The ACI was found to be sensitive to variations in both sound abundance and sound diversity, making it difficult to discern between these variables. Furthermore, the ACI was strongly dependent on the settings used for its calculation (i.e. frequency and temporal resolution of the ACI algorithm, amplitude filter). Care should thus be taken when comparing ACI absolute values between studies, or between sites with site-specific characteristics (e.g. species diversity, fish vocal community composition). As the use of ecoacoustic indices presents a promising tool for the monitoring of vulnerable environments, methodological validations like those presented in this paper are of paramount importance in understanding which biologically important information can be gathered by applying acoustic indices ...Continue Reading

References

Jan 2, 2003·The Journal of the Acoustical Society of America·Tomonari AkamatsuHong Y Yan
Dec 31, 2008·PloS One·Jérôme SueurStéphanie Duvail
Aug 31, 2010·The Journal of Experimental Biology·Eric ParmentierMichael Fine
Apr 8, 2015·Proceedings of the National Academy of Sciences of the United States of America·Laëtitia RuppéEric Parmentier
Sep 30, 2016·Scientific Reports·Giuseppa BuscainoSalvatore Mazzola
Jun 3, 2018·The Journal of the Acoustical Society of America·Xavier MouyStan E Dosso

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