What does Atlantic Forest soundscapes can tell us about landscape?
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1016/j.ecolind.2020.107050 http://hdl.handle.net/11449/206691 |
Resumo: | The ecoacoustics approach for environmental recordings analysis is used to understand and identify big ecological patterns related to different sound sources, like animals, humans and the environment itself. Sounds can vary according to several features that can be on its surroundings or far away, therefore they are very much reliant on scale. Because humans are changing the environment so much and we cannot account for all those changes in the same speed as they happen, we need fast evaluation tools, such as remote sensing and acoustic monitoring (considered the equivalent of spatial remote sensing for sounds). Considering that the scale of effect was never measured for soundscapes before, we aimed to see in what scale different acoustic indices were responsive. Also, we tested how acoustic indices are influenced by natural vegetation cover. We recorded environmental sounds in Atlantic Forest fragments during three months on the rainy season. Then we calculated different acoustic indices and the percentage of natural vegetation cover in different scales. Our results corroborated our initial hypotheses: different indices respond to different scales and their medians varied according to the amount of vegetation cover on the surroundings. More studies are needed with less fragmented areas, to test indices behaviour in a continuum, but we consider this work an important starting point to understand acoustic indices behaviour in tropical areas, especially in such degraded and threatened area as Atlantic Forest. |
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What does Atlantic Forest soundscapes can tell us about landscape?Acoustic indicesLandscape ecologyScale of effectSoundscape ecologyThe ecoacoustics approach for environmental recordings analysis is used to understand and identify big ecological patterns related to different sound sources, like animals, humans and the environment itself. Sounds can vary according to several features that can be on its surroundings or far away, therefore they are very much reliant on scale. Because humans are changing the environment so much and we cannot account for all those changes in the same speed as they happen, we need fast evaluation tools, such as remote sensing and acoustic monitoring (considered the equivalent of spatial remote sensing for sounds). Considering that the scale of effect was never measured for soundscapes before, we aimed to see in what scale different acoustic indices were responsive. Also, we tested how acoustic indices are influenced by natural vegetation cover. We recorded environmental sounds in Atlantic Forest fragments during three months on the rainy season. Then we calculated different acoustic indices and the percentage of natural vegetation cover in different scales. Our results corroborated our initial hypotheses: different indices respond to different scales and their medians varied according to the amount of vegetation cover on the surroundings. More studies are needed with less fragmented areas, to test indices behaviour in a continuum, but we consider this work an important starting point to understand acoustic indices behaviour in tropical areas, especially in such degraded and threatened area as Atlantic Forest.Environmental Analysis and Modelling Graduation Program – Federal University of Minas Gerais (UFMG) – Geosciences InstituteSpatial Ecology and Conservation Lab (LEEC) – Sao Paulo State University (UNESP) – Biosciences Institute/Rio ClaroMinas Gerais State University (UEMG) – Biological Institute/IbiritéSpatial Ecology and Conservation Lab (LEEC) – Sao Paulo State University (UNESP) – Biosciences Institute/Rio ClaroUniversidade Federal de Minas Gerais (UFMG)Universidade Estadual Paulista (Unesp)Universidade Estadual de Maringá (UEM)Scarpelli, Marina D.A.Ribeiro, Milton Cezar [UNESP]Teixeira, Camila P.2021-06-25T10:36:34Z2021-06-25T10:36:34Z2021-02-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.ecolind.2020.107050Ecological Indicators, v. 121.1470-160Xhttp://hdl.handle.net/11449/20669110.1016/j.ecolind.2020.1070502-s2.0-85092718873Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengEcological Indicatorsinfo:eu-repo/semantics/openAccess2021-10-23T10:18:18Zoai:repositorio.unesp.br:11449/206691Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T10:18:18Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
What does Atlantic Forest soundscapes can tell us about landscape? |
title |
What does Atlantic Forest soundscapes can tell us about landscape? |
spellingShingle |
What does Atlantic Forest soundscapes can tell us about landscape? Scarpelli, Marina D.A. Acoustic indices Landscape ecology Scale of effect Soundscape ecology |
title_short |
What does Atlantic Forest soundscapes can tell us about landscape? |
title_full |
What does Atlantic Forest soundscapes can tell us about landscape? |
title_fullStr |
What does Atlantic Forest soundscapes can tell us about landscape? |
title_full_unstemmed |
What does Atlantic Forest soundscapes can tell us about landscape? |
title_sort |
What does Atlantic Forest soundscapes can tell us about landscape? |
author |
Scarpelli, Marina D.A. |
author_facet |
Scarpelli, Marina D.A. Ribeiro, Milton Cezar [UNESP] Teixeira, Camila P. |
author_role |
author |
author2 |
Ribeiro, Milton Cezar [UNESP] Teixeira, Camila P. |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Federal de Minas Gerais (UFMG) Universidade Estadual Paulista (Unesp) Universidade Estadual de Maringá (UEM) |
dc.contributor.author.fl_str_mv |
Scarpelli, Marina D.A. Ribeiro, Milton Cezar [UNESP] Teixeira, Camila P. |
dc.subject.por.fl_str_mv |
Acoustic indices Landscape ecology Scale of effect Soundscape ecology |
topic |
Acoustic indices Landscape ecology Scale of effect Soundscape ecology |
description |
The ecoacoustics approach for environmental recordings analysis is used to understand and identify big ecological patterns related to different sound sources, like animals, humans and the environment itself. Sounds can vary according to several features that can be on its surroundings or far away, therefore they are very much reliant on scale. Because humans are changing the environment so much and we cannot account for all those changes in the same speed as they happen, we need fast evaluation tools, such as remote sensing and acoustic monitoring (considered the equivalent of spatial remote sensing for sounds). Considering that the scale of effect was never measured for soundscapes before, we aimed to see in what scale different acoustic indices were responsive. Also, we tested how acoustic indices are influenced by natural vegetation cover. We recorded environmental sounds in Atlantic Forest fragments during three months on the rainy season. Then we calculated different acoustic indices and the percentage of natural vegetation cover in different scales. Our results corroborated our initial hypotheses: different indices respond to different scales and their medians varied according to the amount of vegetation cover on the surroundings. More studies are needed with less fragmented areas, to test indices behaviour in a continuum, but we consider this work an important starting point to understand acoustic indices behaviour in tropical areas, especially in such degraded and threatened area as Atlantic Forest. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-06-25T10:36:34Z 2021-06-25T10:36:34Z 2021-02-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1016/j.ecolind.2020.107050 Ecological Indicators, v. 121. 1470-160X http://hdl.handle.net/11449/206691 10.1016/j.ecolind.2020.107050 2-s2.0-85092718873 |
url |
http://dx.doi.org/10.1016/j.ecolind.2020.107050 http://hdl.handle.net/11449/206691 |
identifier_str_mv |
Ecological Indicators, v. 121. 1470-160X 10.1016/j.ecolind.2020.107050 2-s2.0-85092718873 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Ecological Indicators |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1799965406213963776 |