Utility of acoustic indices for ecological monitoring in complex sonic environments

With the continued adoption of passive acoustic monitoring as a tool for rapid and high-resolution ecosystem monitoring, ecologists are increasingly making use of a suite of acoustic indices to summarise the sonic environment. Though these indices are often reported to well represent some aspect of...

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Autores principales: Samuel R.P-J. Ross, Nicholas R. Friedman, Masashi Yoshimura, Takuma Yoshida, Ian Donohue, Evan P. Economo
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Lenguaje:EN
Publicado: Elsevier 2021
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Acceso en línea:https://doaj.org/article/89e9f85e65dc45439f30796adb9f6d50
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spelling oai:doaj.org-article:89e9f85e65dc45439f30796adb9f6d502021-12-01T04:35:31ZUtility of acoustic indices for ecological monitoring in complex sonic environments1470-160X10.1016/j.ecolind.2020.107114https://doaj.org/article/89e9f85e65dc45439f30796adb9f6d502021-02-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X20310530https://doaj.org/toc/1470-160XWith the continued adoption of passive acoustic monitoring as a tool for rapid and high-resolution ecosystem monitoring, ecologists are increasingly making use of a suite of acoustic indices to summarise the sonic environment. Though these indices are often reported to well represent some aspect of the biology of an ecosystem, the degree to which they are confounded by various extraneous sonic conditions is largely unknown. We conducted an aural inventory across 23 field sites in Okinawa to identify the number of unique animal sounds present in recordings. Using these values of ‘measured richness’, we then examined how the performance of 11 commonly-used acoustic indices varied across a range of sonic conditions (including in the presence and absence of insect stridulations, audible wind or rain, and human-related sounds). Our analysis identified both well- and poor-performing acoustic indices, as well as those that were particularly sensitive to sonic conditions. Only two indices reflected measured richness across the full range of sonic conditions examined. A few indices were relatively insensitive to extraneous sonic conditions, but no index correlated with measured richness when masked by sound from broadband stridulating insects. Our results demonstrate considerable sensitivity of most commonly used acoustic indices to confounding sonic conditions, highlighting the challenges of working with large acoustic datasets collected in the field. We make practical recommendations for acoustic index use based on study design, with the aim of identifying the suite of acoustic indices with greatest utility as indicators for rapid biodiversity monitoring and management of the world’s natural soundscapes.Samuel R.P-J. RossNicholas R. FriedmanMasashi YoshimuraTakuma YoshidaIan DonohueEvan P. EconomoElsevierarticleSoundscapeEcoacousticsOkinawaPassive acoustic monitoringAural inventoryCicadasEcologyQH540-549.5ENEcological Indicators, Vol 121, Iss , Pp 107114- (2021)
institution DOAJ
collection DOAJ
language EN
topic Soundscape
Ecoacoustics
Okinawa
Passive acoustic monitoring
Aural inventory
Cicadas
Ecology
QH540-549.5
spellingShingle Soundscape
Ecoacoustics
Okinawa
Passive acoustic monitoring
Aural inventory
Cicadas
Ecology
QH540-549.5
Samuel R.P-J. Ross
Nicholas R. Friedman
Masashi Yoshimura
Takuma Yoshida
Ian Donohue
Evan P. Economo
Utility of acoustic indices for ecological monitoring in complex sonic environments
description With the continued adoption of passive acoustic monitoring as a tool for rapid and high-resolution ecosystem monitoring, ecologists are increasingly making use of a suite of acoustic indices to summarise the sonic environment. Though these indices are often reported to well represent some aspect of the biology of an ecosystem, the degree to which they are confounded by various extraneous sonic conditions is largely unknown. We conducted an aural inventory across 23 field sites in Okinawa to identify the number of unique animal sounds present in recordings. Using these values of ‘measured richness’, we then examined how the performance of 11 commonly-used acoustic indices varied across a range of sonic conditions (including in the presence and absence of insect stridulations, audible wind or rain, and human-related sounds). Our analysis identified both well- and poor-performing acoustic indices, as well as those that were particularly sensitive to sonic conditions. Only two indices reflected measured richness across the full range of sonic conditions examined. A few indices were relatively insensitive to extraneous sonic conditions, but no index correlated with measured richness when masked by sound from broadband stridulating insects. Our results demonstrate considerable sensitivity of most commonly used acoustic indices to confounding sonic conditions, highlighting the challenges of working with large acoustic datasets collected in the field. We make practical recommendations for acoustic index use based on study design, with the aim of identifying the suite of acoustic indices with greatest utility as indicators for rapid biodiversity monitoring and management of the world’s natural soundscapes.
format article
author Samuel R.P-J. Ross
Nicholas R. Friedman
Masashi Yoshimura
Takuma Yoshida
Ian Donohue
Evan P. Economo
author_facet Samuel R.P-J. Ross
Nicholas R. Friedman
Masashi Yoshimura
Takuma Yoshida
Ian Donohue
Evan P. Economo
author_sort Samuel R.P-J. Ross
title Utility of acoustic indices for ecological monitoring in complex sonic environments
title_short Utility of acoustic indices for ecological monitoring in complex sonic environments
title_full Utility of acoustic indices for ecological monitoring in complex sonic environments
title_fullStr Utility of acoustic indices for ecological monitoring in complex sonic environments
title_full_unstemmed Utility of acoustic indices for ecological monitoring in complex sonic environments
title_sort utility of acoustic indices for ecological monitoring in complex sonic environments
publisher Elsevier
publishDate 2021
url https://doaj.org/article/89e9f85e65dc45439f30796adb9f6d50
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