Looking for the -scape in the sound: Discriminating soundscapes categories in the Sonoran Desert using indices and clustering

Soundscapes are increasingly used as innovative entry doors in environmental studies. Facing huge libraries of sound files which cannot be processed manually, acoustic indices provide an overview to the information contained in them, as well as to allow for automatic processing. Studies dealing with...

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Autores principales:	Colton Flowers, François-Michel Le Tourneau, Nirav Merchant, Brian Heidorn, Régis Ferriere, Jake Harwood
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Soundscapes Sound Indices Sonoran desert Clustering Environmental monitoring Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/04323e06b5be4ea98ba599f112a9c0c9
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id	oai:doaj.org-article:04323e06b5be4ea98ba599f112a9c0c9
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spelling	oai:doaj.org-article:04323e06b5be4ea98ba599f112a9c0c92021-12-01T04:53:49ZLooking for the -scape in the sound: Discriminating soundscapes categories in the Sonoran Desert using indices and clustering1470-160X10.1016/j.ecolind.2021.107805https://doaj.org/article/04323e06b5be4ea98ba599f112a9c0c92021-08-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21004702https://doaj.org/toc/1470-160XSoundscapes are increasingly used as innovative entry doors in environmental studies. Facing huge libraries of sound files which cannot be processed manually, acoustic indices provide an overview to the information contained in them, as well as to allow for automatic processing. Studies dealing with such indices have, however, focused more on specific topics or indices than on the overall characteristics of the soundscapes they were analyzing. The aim of this paper is to propose a holistic approach to soundscapes. Our hypothesis is that sufficient number and variety of indices can help frame the characteristics of sound environments and that the use of clustering algorithms allows us to group them in families and study the distribution of those across space and time, revealing a geography that will not necessarily coincide with the obvious landscape/visual geography. To demonstrate this point, we have run indices analysis and classification on a soundscapes database recorded in the Sonoran Desert region (Southeastern Arizona, USA). The results show that sound indices reveal temporal variations and patterns of soundscapes and point out to sometimes surprising similarities between otherwise different environments. As sound indices capture a wealth of information which characterizes the environment at a given place and time, they could be used as proxies to continuous monitoring without having to store extreme amounts of data.Colton FlowersFrançois-Michel Le TourneauNirav MerchantBrian HeidornRégis FerriereJake HarwoodElsevierarticleSoundscapesSound IndicesSonoran desertClusteringEnvironmental monitoringEcologyQH540-549.5ENEcological Indicators, Vol 127, Iss , Pp 107805- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Soundscapes Sound Indices Sonoran desert Clustering Environmental monitoring Ecology QH540-549.5
spellingShingle	Soundscapes Sound Indices Sonoran desert Clustering Environmental monitoring Ecology QH540-549.5 Colton Flowers François-Michel Le Tourneau Nirav Merchant Brian Heidorn Régis Ferriere Jake Harwood Looking for the -scape in the sound: Discriminating soundscapes categories in the Sonoran Desert using indices and clustering
description	Soundscapes are increasingly used as innovative entry doors in environmental studies. Facing huge libraries of sound files which cannot be processed manually, acoustic indices provide an overview to the information contained in them, as well as to allow for automatic processing. Studies dealing with such indices have, however, focused more on specific topics or indices than on the overall characteristics of the soundscapes they were analyzing. The aim of this paper is to propose a holistic approach to soundscapes. Our hypothesis is that sufficient number and variety of indices can help frame the characteristics of sound environments and that the use of clustering algorithms allows us to group them in families and study the distribution of those across space and time, revealing a geography that will not necessarily coincide with the obvious landscape/visual geography. To demonstrate this point, we have run indices analysis and classification on a soundscapes database recorded in the Sonoran Desert region (Southeastern Arizona, USA). The results show that sound indices reveal temporal variations and patterns of soundscapes and point out to sometimes surprising similarities between otherwise different environments. As sound indices capture a wealth of information which characterizes the environment at a given place and time, they could be used as proxies to continuous monitoring without having to store extreme amounts of data.
format	article
author	Colton Flowers François-Michel Le Tourneau Nirav Merchant Brian Heidorn Régis Ferriere Jake Harwood
author_facet	Colton Flowers François-Michel Le Tourneau Nirav Merchant Brian Heidorn Régis Ferriere Jake Harwood
author_sort	Colton Flowers
title	Looking for the -scape in the sound: Discriminating soundscapes categories in the Sonoran Desert using indices and clustering
title_short	Looking for the -scape in the sound: Discriminating soundscapes categories in the Sonoran Desert using indices and clustering
title_full	Looking for the -scape in the sound: Discriminating soundscapes categories in the Sonoran Desert using indices and clustering
title_fullStr	Looking for the -scape in the sound: Discriminating soundscapes categories in the Sonoran Desert using indices and clustering
title_full_unstemmed	Looking for the -scape in the sound: Discriminating soundscapes categories in the Sonoran Desert using indices and clustering
title_sort	looking for the -scape in the sound: discriminating soundscapes categories in the sonoran desert using indices and clustering
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/04323e06b5be4ea98ba599f112a9c0c9
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Looking for the -scape in the sound: Discriminating soundscapes categories in the Sonoran Desert using indices and clustering

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