Are acoustic indices useful for monitoring urban biodiversity?
Abstract Monitoring changes in biodiversity resulting from urban sprawl is an important topic for conservation. Automated biodiversity monitoring methods can quickly collect and process large datasets at minimal cost facilitating effective biodiversity monitoring. Despite being promising, the effica...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Santos, Eduardo Guimarães [verfasserIn] Wiederhecker, Helga Correa [verfasserIn] Pompermaier, Vinicius Tirelli [verfasserIn] Schirmer, Sofia Coradini [verfasserIn] Gainsbury, Alison M. [verfasserIn] Marini, Miguel Ângelo [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2024 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| Übergeordnetes Werk: |
Enthalten in: Urban ecosystems - Springer US, 1997, 27(2024), 5 vom: 03. Juni, Seite 1975-1981 |
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| Übergeordnetes Werk: |
volume:27 ; year:2024 ; number:5 ; day:03 ; month:06 ; pages:1975-1981 |
| Links: |
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| DOI / URN: |
10.1007/s11252-024-01567-5 |
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SPR057402515 |
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| 520 | |a Abstract Monitoring changes in biodiversity resulting from urban sprawl is an important topic for conservation. Automated biodiversity monitoring methods can quickly collect and process large datasets at minimal cost facilitating effective biodiversity monitoring. Despite being promising, the efficacy of acoustic monitoring in urban areas has not been established. Herein, our aim was to assess the effectiveness of acoustic indices in monitoring urban biodiversity. Thus, we acoustically sampled birds from a large neotropical city (Brasília, Brazil) across a gradient of urbanization. Human identification of recorded species revealed a clear reduction in bird richness in areas of greater urbanization. However, none of the six automated acoustic indices we tested [Normalized Difference Soundscape Index (NDSI), Acoustic entropy (H), Bioacoustic Index (BI), Acoustic Evenness (AEI), Acoustic Diversity Index (ADI), and Acoustic Complexity Index (ACI)], correlate with the degree of urbanization, indicating that these indices may not be a suitable tool for monitoring biodiversity in urban environments. In urban areas, it seems more appropriate to use traditional metrics, that make it possible to accurately identify the heard species. We recommend the need to ground truth the indices and explore alternative acoustic signal’s ability to monitor biodiversity in the complex soundscape of urban environments. | ||
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| 700 | 1 | |a Marini, Miguel Ângelo |e verfasserin |0 (orcid)0000-0002-7300-7321 |4 aut | |
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10.1007/s11252-024-01567-5 doi (DE-627)SPR057402515 (SPR)s11252-024-01567-5-e DE-627 ger DE-627 rakwb eng 570 VZ 42.90 bkl 43.31 bkl 74.12 bkl Santos, Eduardo Guimarães verfasserin (orcid)0000-0002-9858-1784 aut Are acoustic indices useful for monitoring urban biodiversity? 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Monitoring changes in biodiversity resulting from urban sprawl is an important topic for conservation. Automated biodiversity monitoring methods can quickly collect and process large datasets at minimal cost facilitating effective biodiversity monitoring. Despite being promising, the efficacy of acoustic monitoring in urban areas has not been established. Herein, our aim was to assess the effectiveness of acoustic indices in monitoring urban biodiversity. Thus, we acoustically sampled birds from a large neotropical city (Brasília, Brazil) across a gradient of urbanization. Human identification of recorded species revealed a clear reduction in bird richness in areas of greater urbanization. However, none of the six automated acoustic indices we tested [Normalized Difference Soundscape Index (NDSI), Acoustic entropy (H), Bioacoustic Index (BI), Acoustic Evenness (AEI), Acoustic Diversity Index (ADI), and Acoustic Complexity Index (ACI)], correlate with the degree of urbanization, indicating that these indices may not be a suitable tool for monitoring biodiversity in urban environments. In urban areas, it seems more appropriate to use traditional metrics, that make it possible to accurately identify the heard species. We recommend the need to ground truth the indices and explore alternative acoustic signal’s ability to monitor biodiversity in the complex soundscape of urban environments. Acoustic indices (dpeaa)DE-He213 Urbanization (dpeaa)DE-He213 Species richness (dpeaa)DE-He213 Urban sprawl (dpeaa)DE-He213 Automated monitoring (dpeaa)DE-He213 Wiederhecker, Helga Correa verfasserin (orcid)0000-0002-6454-0829 aut Pompermaier, Vinicius Tirelli verfasserin (orcid)0000-0002-2859-6788 aut Schirmer, Sofia Coradini verfasserin (orcid)0000-0001-7200-7269 aut Gainsbury, Alison M. verfasserin (orcid)0000-0002-2828-7301 aut Marini, Miguel Ângelo verfasserin (orcid)0000-0002-7300-7321 aut Enthalten in Urban ecosystems Springer US, 1997 27(2024), 5 vom: 03. Juni, Seite 1975-1981 (DE-627)320593622 (DE-600)2019257-5 1573-1642 nnns volume:27 year:2024 number:5 day:03 month:06 pages:1975-1981 https://dx.doi.org/10.1007/s11252-024-01567-5 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA SSG-OPC-GGO GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 42.90 VZ 43.31 VZ 74.12 VZ AR 27 2024 5 03 06 1975-1981 |
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10.1007/s11252-024-01567-5 doi (DE-627)SPR057402515 (SPR)s11252-024-01567-5-e DE-627 ger DE-627 rakwb eng 570 VZ 42.90 bkl 43.31 bkl 74.12 bkl Santos, Eduardo Guimarães verfasserin (orcid)0000-0002-9858-1784 aut Are acoustic indices useful for monitoring urban biodiversity? 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Monitoring changes in biodiversity resulting from urban sprawl is an important topic for conservation. Automated biodiversity monitoring methods can quickly collect and process large datasets at minimal cost facilitating effective biodiversity monitoring. Despite being promising, the efficacy of acoustic monitoring in urban areas has not been established. Herein, our aim was to assess the effectiveness of acoustic indices in monitoring urban biodiversity. Thus, we acoustically sampled birds from a large neotropical city (Brasília, Brazil) across a gradient of urbanization. Human identification of recorded species revealed a clear reduction in bird richness in areas of greater urbanization. However, none of the six automated acoustic indices we tested [Normalized Difference Soundscape Index (NDSI), Acoustic entropy (H), Bioacoustic Index (BI), Acoustic Evenness (AEI), Acoustic Diversity Index (ADI), and Acoustic Complexity Index (ACI)], correlate with the degree of urbanization, indicating that these indices may not be a suitable tool for monitoring biodiversity in urban environments. In urban areas, it seems more appropriate to use traditional metrics, that make it possible to accurately identify the heard species. We recommend the need to ground truth the indices and explore alternative acoustic signal’s ability to monitor biodiversity in the complex soundscape of urban environments. Acoustic indices (dpeaa)DE-He213 Urbanization (dpeaa)DE-He213 Species richness (dpeaa)DE-He213 Urban sprawl (dpeaa)DE-He213 Automated monitoring (dpeaa)DE-He213 Wiederhecker, Helga Correa verfasserin (orcid)0000-0002-6454-0829 aut Pompermaier, Vinicius Tirelli verfasserin (orcid)0000-0002-2859-6788 aut Schirmer, Sofia Coradini verfasserin (orcid)0000-0001-7200-7269 aut Gainsbury, Alison M. verfasserin (orcid)0000-0002-2828-7301 aut Marini, Miguel Ângelo verfasserin (orcid)0000-0002-7300-7321 aut Enthalten in Urban ecosystems Springer US, 1997 27(2024), 5 vom: 03. Juni, Seite 1975-1981 (DE-627)320593622 (DE-600)2019257-5 1573-1642 nnns volume:27 year:2024 number:5 day:03 month:06 pages:1975-1981 https://dx.doi.org/10.1007/s11252-024-01567-5 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA SSG-OPC-GGO GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 42.90 VZ 43.31 VZ 74.12 VZ AR 27 2024 5 03 06 1975-1981 |
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10.1007/s11252-024-01567-5 doi (DE-627)SPR057402515 (SPR)s11252-024-01567-5-e DE-627 ger DE-627 rakwb eng 570 VZ 42.90 bkl 43.31 bkl 74.12 bkl Santos, Eduardo Guimarães verfasserin (orcid)0000-0002-9858-1784 aut Are acoustic indices useful for monitoring urban biodiversity? 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Monitoring changes in biodiversity resulting from urban sprawl is an important topic for conservation. Automated biodiversity monitoring methods can quickly collect and process large datasets at minimal cost facilitating effective biodiversity monitoring. Despite being promising, the efficacy of acoustic monitoring in urban areas has not been established. Herein, our aim was to assess the effectiveness of acoustic indices in monitoring urban biodiversity. Thus, we acoustically sampled birds from a large neotropical city (Brasília, Brazil) across a gradient of urbanization. Human identification of recorded species revealed a clear reduction in bird richness in areas of greater urbanization. However, none of the six automated acoustic indices we tested [Normalized Difference Soundscape Index (NDSI), Acoustic entropy (H), Bioacoustic Index (BI), Acoustic Evenness (AEI), Acoustic Diversity Index (ADI), and Acoustic Complexity Index (ACI)], correlate with the degree of urbanization, indicating that these indices may not be a suitable tool for monitoring biodiversity in urban environments. In urban areas, it seems more appropriate to use traditional metrics, that make it possible to accurately identify the heard species. We recommend the need to ground truth the indices and explore alternative acoustic signal’s ability to monitor biodiversity in the complex soundscape of urban environments. Acoustic indices (dpeaa)DE-He213 Urbanization (dpeaa)DE-He213 Species richness (dpeaa)DE-He213 Urban sprawl (dpeaa)DE-He213 Automated monitoring (dpeaa)DE-He213 Wiederhecker, Helga Correa verfasserin (orcid)0000-0002-6454-0829 aut Pompermaier, Vinicius Tirelli verfasserin (orcid)0000-0002-2859-6788 aut Schirmer, Sofia Coradini verfasserin (orcid)0000-0001-7200-7269 aut Gainsbury, Alison M. verfasserin (orcid)0000-0002-2828-7301 aut Marini, Miguel Ângelo verfasserin (orcid)0000-0002-7300-7321 aut Enthalten in Urban ecosystems Springer US, 1997 27(2024), 5 vom: 03. Juni, Seite 1975-1981 (DE-627)320593622 (DE-600)2019257-5 1573-1642 nnns volume:27 year:2024 number:5 day:03 month:06 pages:1975-1981 https://dx.doi.org/10.1007/s11252-024-01567-5 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA SSG-OPC-GGO GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 42.90 VZ 43.31 VZ 74.12 VZ AR 27 2024 5 03 06 1975-1981 |
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10.1007/s11252-024-01567-5 doi (DE-627)SPR057402515 (SPR)s11252-024-01567-5-e DE-627 ger DE-627 rakwb eng 570 VZ 42.90 bkl 43.31 bkl 74.12 bkl Santos, Eduardo Guimarães verfasserin (orcid)0000-0002-9858-1784 aut Are acoustic indices useful for monitoring urban biodiversity? 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Monitoring changes in biodiversity resulting from urban sprawl is an important topic for conservation. Automated biodiversity monitoring methods can quickly collect and process large datasets at minimal cost facilitating effective biodiversity monitoring. Despite being promising, the efficacy of acoustic monitoring in urban areas has not been established. Herein, our aim was to assess the effectiveness of acoustic indices in monitoring urban biodiversity. Thus, we acoustically sampled birds from a large neotropical city (Brasília, Brazil) across a gradient of urbanization. Human identification of recorded species revealed a clear reduction in bird richness in areas of greater urbanization. However, none of the six automated acoustic indices we tested [Normalized Difference Soundscape Index (NDSI), Acoustic entropy (H), Bioacoustic Index (BI), Acoustic Evenness (AEI), Acoustic Diversity Index (ADI), and Acoustic Complexity Index (ACI)], correlate with the degree of urbanization, indicating that these indices may not be a suitable tool for monitoring biodiversity in urban environments. In urban areas, it seems more appropriate to use traditional metrics, that make it possible to accurately identify the heard species. We recommend the need to ground truth the indices and explore alternative acoustic signal’s ability to monitor biodiversity in the complex soundscape of urban environments. Acoustic indices (dpeaa)DE-He213 Urbanization (dpeaa)DE-He213 Species richness (dpeaa)DE-He213 Urban sprawl (dpeaa)DE-He213 Automated monitoring (dpeaa)DE-He213 Wiederhecker, Helga Correa verfasserin (orcid)0000-0002-6454-0829 aut Pompermaier, Vinicius Tirelli verfasserin (orcid)0000-0002-2859-6788 aut Schirmer, Sofia Coradini verfasserin (orcid)0000-0001-7200-7269 aut Gainsbury, Alison M. verfasserin (orcid)0000-0002-2828-7301 aut Marini, Miguel Ângelo verfasserin (orcid)0000-0002-7300-7321 aut Enthalten in Urban ecosystems Springer US, 1997 27(2024), 5 vom: 03. Juni, Seite 1975-1981 (DE-627)320593622 (DE-600)2019257-5 1573-1642 nnns volume:27 year:2024 number:5 day:03 month:06 pages:1975-1981 https://dx.doi.org/10.1007/s11252-024-01567-5 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA SSG-OPC-GGO GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 42.90 VZ 43.31 VZ 74.12 VZ AR 27 2024 5 03 06 1975-1981 |
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10.1007/s11252-024-01567-5 doi (DE-627)SPR057402515 (SPR)s11252-024-01567-5-e DE-627 ger DE-627 rakwb eng 570 VZ 42.90 bkl 43.31 bkl 74.12 bkl Santos, Eduardo Guimarães verfasserin (orcid)0000-0002-9858-1784 aut Are acoustic indices useful for monitoring urban biodiversity? 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Monitoring changes in biodiversity resulting from urban sprawl is an important topic for conservation. Automated biodiversity monitoring methods can quickly collect and process large datasets at minimal cost facilitating effective biodiversity monitoring. Despite being promising, the efficacy of acoustic monitoring in urban areas has not been established. Herein, our aim was to assess the effectiveness of acoustic indices in monitoring urban biodiversity. Thus, we acoustically sampled birds from a large neotropical city (Brasília, Brazil) across a gradient of urbanization. Human identification of recorded species revealed a clear reduction in bird richness in areas of greater urbanization. However, none of the six automated acoustic indices we tested [Normalized Difference Soundscape Index (NDSI), Acoustic entropy (H), Bioacoustic Index (BI), Acoustic Evenness (AEI), Acoustic Diversity Index (ADI), and Acoustic Complexity Index (ACI)], correlate with the degree of urbanization, indicating that these indices may not be a suitable tool for monitoring biodiversity in urban environments. In urban areas, it seems more appropriate to use traditional metrics, that make it possible to accurately identify the heard species. We recommend the need to ground truth the indices and explore alternative acoustic signal’s ability to monitor biodiversity in the complex soundscape of urban environments. Acoustic indices (dpeaa)DE-He213 Urbanization (dpeaa)DE-He213 Species richness (dpeaa)DE-He213 Urban sprawl (dpeaa)DE-He213 Automated monitoring (dpeaa)DE-He213 Wiederhecker, Helga Correa verfasserin (orcid)0000-0002-6454-0829 aut Pompermaier, Vinicius Tirelli verfasserin (orcid)0000-0002-2859-6788 aut Schirmer, Sofia Coradini verfasserin (orcid)0000-0001-7200-7269 aut Gainsbury, Alison M. verfasserin (orcid)0000-0002-2828-7301 aut Marini, Miguel Ângelo verfasserin (orcid)0000-0002-7300-7321 aut Enthalten in Urban ecosystems Springer US, 1997 27(2024), 5 vom: 03. Juni, Seite 1975-1981 (DE-627)320593622 (DE-600)2019257-5 1573-1642 nnns volume:27 year:2024 number:5 day:03 month:06 pages:1975-1981 https://dx.doi.org/10.1007/s11252-024-01567-5 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA SSG-OPC-GGO GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 42.90 VZ 43.31 VZ 74.12 VZ AR 27 2024 5 03 06 1975-1981 |
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Enthalten in Urban ecosystems 27(2024), 5 vom: 03. Juni, Seite 1975-1981 volume:27 year:2024 number:5 day:03 month:06 pages:1975-1981 |
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Santos, Eduardo Guimarães @@aut@@ Wiederhecker, Helga Correa @@aut@@ Pompermaier, Vinicius Tirelli @@aut@@ Schirmer, Sofia Coradini @@aut@@ Gainsbury, Alison M. @@aut@@ Marini, Miguel Ângelo @@aut@@ |
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Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Monitoring changes in biodiversity resulting from urban sprawl is an important topic for conservation. Automated biodiversity monitoring methods can quickly collect and process large datasets at minimal cost facilitating effective biodiversity monitoring. Despite being promising, the efficacy of acoustic monitoring in urban areas has not been established. Herein, our aim was to assess the effectiveness of acoustic indices in monitoring urban biodiversity. Thus, we acoustically sampled birds from a large neotropical city (Brasília, Brazil) across a gradient of urbanization. Human identification of recorded species revealed a clear reduction in bird richness in areas of greater urbanization. However, none of the six automated acoustic indices we tested [Normalized Difference Soundscape Index (NDSI), Acoustic entropy (H), Bioacoustic Index (BI), Acoustic Evenness (AEI), Acoustic Diversity Index (ADI), and Acoustic Complexity Index (ACI)], correlate with the degree of urbanization, indicating that these indices may not be a suitable tool for monitoring biodiversity in urban environments. In urban areas, it seems more appropriate to use traditional metrics, that make it possible to accurately identify the heard species. 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Santos, Eduardo Guimarães |
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570 VZ 42.90 bkl 43.31 bkl 74.12 bkl Are acoustic indices useful for monitoring urban biodiversity? Acoustic indices (dpeaa)DE-He213 Urbanization (dpeaa)DE-He213 Species richness (dpeaa)DE-He213 Urban sprawl (dpeaa)DE-He213 Automated monitoring (dpeaa)DE-He213 |
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are acoustic indices useful for monitoring urban biodiversity? |
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Are acoustic indices useful for monitoring urban biodiversity? |
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Abstract Monitoring changes in biodiversity resulting from urban sprawl is an important topic for conservation. Automated biodiversity monitoring methods can quickly collect and process large datasets at minimal cost facilitating effective biodiversity monitoring. Despite being promising, the efficacy of acoustic monitoring in urban areas has not been established. Herein, our aim was to assess the effectiveness of acoustic indices in monitoring urban biodiversity. Thus, we acoustically sampled birds from a large neotropical city (Brasília, Brazil) across a gradient of urbanization. Human identification of recorded species revealed a clear reduction in bird richness in areas of greater urbanization. However, none of the six automated acoustic indices we tested [Normalized Difference Soundscape Index (NDSI), Acoustic entropy (H), Bioacoustic Index (BI), Acoustic Evenness (AEI), Acoustic Diversity Index (ADI), and Acoustic Complexity Index (ACI)], correlate with the degree of urbanization, indicating that these indices may not be a suitable tool for monitoring biodiversity in urban environments. In urban areas, it seems more appropriate to use traditional metrics, that make it possible to accurately identify the heard species. We recommend the need to ground truth the indices and explore alternative acoustic signal’s ability to monitor biodiversity in the complex soundscape of urban environments. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Abstract Monitoring changes in biodiversity resulting from urban sprawl is an important topic for conservation. Automated biodiversity monitoring methods can quickly collect and process large datasets at minimal cost facilitating effective biodiversity monitoring. Despite being promising, the efficacy of acoustic monitoring in urban areas has not been established. Herein, our aim was to assess the effectiveness of acoustic indices in monitoring urban biodiversity. Thus, we acoustically sampled birds from a large neotropical city (Brasília, Brazil) across a gradient of urbanization. Human identification of recorded species revealed a clear reduction in bird richness in areas of greater urbanization. However, none of the six automated acoustic indices we tested [Normalized Difference Soundscape Index (NDSI), Acoustic entropy (H), Bioacoustic Index (BI), Acoustic Evenness (AEI), Acoustic Diversity Index (ADI), and Acoustic Complexity Index (ACI)], correlate with the degree of urbanization, indicating that these indices may not be a suitable tool for monitoring biodiversity in urban environments. In urban areas, it seems more appropriate to use traditional metrics, that make it possible to accurately identify the heard species. We recommend the need to ground truth the indices and explore alternative acoustic signal’s ability to monitor biodiversity in the complex soundscape of urban environments. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstract_unstemmed |
Abstract Monitoring changes in biodiversity resulting from urban sprawl is an important topic for conservation. Automated biodiversity monitoring methods can quickly collect and process large datasets at minimal cost facilitating effective biodiversity monitoring. Despite being promising, the efficacy of acoustic monitoring in urban areas has not been established. Herein, our aim was to assess the effectiveness of acoustic indices in monitoring urban biodiversity. Thus, we acoustically sampled birds from a large neotropical city (Brasília, Brazil) across a gradient of urbanization. Human identification of recorded species revealed a clear reduction in bird richness in areas of greater urbanization. However, none of the six automated acoustic indices we tested [Normalized Difference Soundscape Index (NDSI), Acoustic entropy (H), Bioacoustic Index (BI), Acoustic Evenness (AEI), Acoustic Diversity Index (ADI), and Acoustic Complexity Index (ACI)], correlate with the degree of urbanization, indicating that these indices may not be a suitable tool for monitoring biodiversity in urban environments. In urban areas, it seems more appropriate to use traditional metrics, that make it possible to accurately identify the heard species. We recommend the need to ground truth the indices and explore alternative acoustic signal’s ability to monitor biodiversity in the complex soundscape of urban environments. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Are acoustic indices useful for monitoring urban biodiversity? |
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| score |
7.401286 |