Methods to measure biological sounds and assess their drivers in a tropical forest
The study of soundscapes and biological sounds is becoming the focus of increasing scientific attention. Studying biological sounds involves the deployment of acoustic sensors to record sounds and the identification of animal species and other sources of sound in audio recordings. In addition, data...
Ausführliche Beschreibung
Autor*in: |
Johan Diepstraten [verfasserIn] Jacques Keumo Kuenbou [verfasserIn] Jacob Willie [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2022 |
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Schlagwörter: |
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Übergeordnetes Werk: |
In: MethodsX - Elsevier, 2015, 9(2022), Seite 101619- |
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Übergeordnetes Werk: |
volume:9 ; year:2022 ; pages:101619- |
Links: |
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DOI / URN: |
10.1016/j.mex.2022.101619 |
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Katalog-ID: |
DOAJ085353884 |
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10.1016/j.mex.2022.101619 doi (DE-627)DOAJ085353884 (DE-599)DOAJd004bcbf90254554a921a0fbc0ae4369 DE-627 ger DE-627 rakwb eng Johan Diepstraten verfasserin aut Methods to measure biological sounds and assess their drivers in a tropical forest 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The study of soundscapes and biological sounds is becoming the focus of increasing scientific attention. Studying biological sounds involves the deployment of acoustic sensors to record sounds and the identification of animal species and other sources of sound in audio recordings. In addition, data extracted from audio recordings may be pooled together with ecological and human activity data to investigate the drivers of biological sounds. We provide a detailed method description of our study on biological sounds in a tropical forest and their drivers along a gradient of disturbance in Southeast Cameroon. We designed and implemented a research protocol to: • make large scale audio recordings and identify animal species detected; • collect ground-truth data on mammal and bird species; • collect climate, habitat, and human activity data and describe remoteness and accessibility. Passive acoustic monitoring and analysis Science Q Jacques Keumo Kuenbou verfasserin aut Jacob Willie verfasserin aut In MethodsX Elsevier, 2015 9(2022), Seite 101619- (DE-627)832786675 (DE-600)2830212-6 22150161 nnns volume:9 year:2022 pages:101619- https://doi.org/10.1016/j.mex.2022.101619 kostenfrei https://doaj.org/article/d004bcbf90254554a921a0fbc0ae4369 kostenfrei http://www.sciencedirect.com/science/article/pii/S2215016122000048 kostenfrei https://doaj.org/toc/2215-0161 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 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_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 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_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 9 2022 101619- |
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10.1016/j.mex.2022.101619 doi (DE-627)DOAJ085353884 (DE-599)DOAJd004bcbf90254554a921a0fbc0ae4369 DE-627 ger DE-627 rakwb eng Johan Diepstraten verfasserin aut Methods to measure biological sounds and assess their drivers in a tropical forest 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The study of soundscapes and biological sounds is becoming the focus of increasing scientific attention. Studying biological sounds involves the deployment of acoustic sensors to record sounds and the identification of animal species and other sources of sound in audio recordings. In addition, data extracted from audio recordings may be pooled together with ecological and human activity data to investigate the drivers of biological sounds. We provide a detailed method description of our study on biological sounds in a tropical forest and their drivers along a gradient of disturbance in Southeast Cameroon. We designed and implemented a research protocol to: • make large scale audio recordings and identify animal species detected; • collect ground-truth data on mammal and bird species; • collect climate, habitat, and human activity data and describe remoteness and accessibility. Passive acoustic monitoring and analysis Science Q Jacques Keumo Kuenbou verfasserin aut Jacob Willie verfasserin aut In MethodsX Elsevier, 2015 9(2022), Seite 101619- (DE-627)832786675 (DE-600)2830212-6 22150161 nnns volume:9 year:2022 pages:101619- https://doi.org/10.1016/j.mex.2022.101619 kostenfrei https://doaj.org/article/d004bcbf90254554a921a0fbc0ae4369 kostenfrei http://www.sciencedirect.com/science/article/pii/S2215016122000048 kostenfrei https://doaj.org/toc/2215-0161 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 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_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 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_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 9 2022 101619- |
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10.1016/j.mex.2022.101619 doi (DE-627)DOAJ085353884 (DE-599)DOAJd004bcbf90254554a921a0fbc0ae4369 DE-627 ger DE-627 rakwb eng Johan Diepstraten verfasserin aut Methods to measure biological sounds and assess their drivers in a tropical forest 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The study of soundscapes and biological sounds is becoming the focus of increasing scientific attention. Studying biological sounds involves the deployment of acoustic sensors to record sounds and the identification of animal species and other sources of sound in audio recordings. In addition, data extracted from audio recordings may be pooled together with ecological and human activity data to investigate the drivers of biological sounds. We provide a detailed method description of our study on biological sounds in a tropical forest and their drivers along a gradient of disturbance in Southeast Cameroon. We designed and implemented a research protocol to: • make large scale audio recordings and identify animal species detected; • collect ground-truth data on mammal and bird species; • collect climate, habitat, and human activity data and describe remoteness and accessibility. Passive acoustic monitoring and analysis Science Q Jacques Keumo Kuenbou verfasserin aut Jacob Willie verfasserin aut In MethodsX Elsevier, 2015 9(2022), Seite 101619- (DE-627)832786675 (DE-600)2830212-6 22150161 nnns volume:9 year:2022 pages:101619- https://doi.org/10.1016/j.mex.2022.101619 kostenfrei https://doaj.org/article/d004bcbf90254554a921a0fbc0ae4369 kostenfrei http://www.sciencedirect.com/science/article/pii/S2215016122000048 kostenfrei https://doaj.org/toc/2215-0161 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 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_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 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_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 9 2022 101619- |
allfieldsGer |
10.1016/j.mex.2022.101619 doi (DE-627)DOAJ085353884 (DE-599)DOAJd004bcbf90254554a921a0fbc0ae4369 DE-627 ger DE-627 rakwb eng Johan Diepstraten verfasserin aut Methods to measure biological sounds and assess their drivers in a tropical forest 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The study of soundscapes and biological sounds is becoming the focus of increasing scientific attention. Studying biological sounds involves the deployment of acoustic sensors to record sounds and the identification of animal species and other sources of sound in audio recordings. In addition, data extracted from audio recordings may be pooled together with ecological and human activity data to investigate the drivers of biological sounds. We provide a detailed method description of our study on biological sounds in a tropical forest and their drivers along a gradient of disturbance in Southeast Cameroon. We designed and implemented a research protocol to: • make large scale audio recordings and identify animal species detected; • collect ground-truth data on mammal and bird species; • collect climate, habitat, and human activity data and describe remoteness and accessibility. Passive acoustic monitoring and analysis Science Q Jacques Keumo Kuenbou verfasserin aut Jacob Willie verfasserin aut In MethodsX Elsevier, 2015 9(2022), Seite 101619- (DE-627)832786675 (DE-600)2830212-6 22150161 nnns volume:9 year:2022 pages:101619- https://doi.org/10.1016/j.mex.2022.101619 kostenfrei https://doaj.org/article/d004bcbf90254554a921a0fbc0ae4369 kostenfrei http://www.sciencedirect.com/science/article/pii/S2215016122000048 kostenfrei https://doaj.org/toc/2215-0161 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 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_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 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_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 9 2022 101619- |
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101619 |
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Johan Diepstraten Jacques Keumo Kuenbou Jacob Willie |
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Elektronische Aufsätze |
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Johan Diepstraten |
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10.1016/j.mex.2022.101619 |
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methods to measure biological sounds and assess their drivers in a tropical forest |
title_auth |
Methods to measure biological sounds and assess their drivers in a tropical forest |
abstract |
The study of soundscapes and biological sounds is becoming the focus of increasing scientific attention. Studying biological sounds involves the deployment of acoustic sensors to record sounds and the identification of animal species and other sources of sound in audio recordings. In addition, data extracted from audio recordings may be pooled together with ecological and human activity data to investigate the drivers of biological sounds. We provide a detailed method description of our study on biological sounds in a tropical forest and their drivers along a gradient of disturbance in Southeast Cameroon. We designed and implemented a research protocol to: • make large scale audio recordings and identify animal species detected; • collect ground-truth data on mammal and bird species; • collect climate, habitat, and human activity data and describe remoteness and accessibility. |
abstractGer |
The study of soundscapes and biological sounds is becoming the focus of increasing scientific attention. Studying biological sounds involves the deployment of acoustic sensors to record sounds and the identification of animal species and other sources of sound in audio recordings. In addition, data extracted from audio recordings may be pooled together with ecological and human activity data to investigate the drivers of biological sounds. We provide a detailed method description of our study on biological sounds in a tropical forest and their drivers along a gradient of disturbance in Southeast Cameroon. We designed and implemented a research protocol to: • make large scale audio recordings and identify animal species detected; • collect ground-truth data on mammal and bird species; • collect climate, habitat, and human activity data and describe remoteness and accessibility. |
abstract_unstemmed |
The study of soundscapes and biological sounds is becoming the focus of increasing scientific attention. Studying biological sounds involves the deployment of acoustic sensors to record sounds and the identification of animal species and other sources of sound in audio recordings. In addition, data extracted from audio recordings may be pooled together with ecological and human activity data to investigate the drivers of biological sounds. We provide a detailed method description of our study on biological sounds in a tropical forest and their drivers along a gradient of disturbance in Southeast Cameroon. We designed and implemented a research protocol to: • make large scale audio recordings and identify animal species detected; • collect ground-truth data on mammal and bird species; • collect climate, habitat, and human activity data and describe remoteness and accessibility. |
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title_short |
Methods to measure biological sounds and assess their drivers in a tropical forest |
url |
https://doi.org/10.1016/j.mex.2022.101619 https://doaj.org/article/d004bcbf90254554a921a0fbc0ae4369 http://www.sciencedirect.com/science/article/pii/S2215016122000048 https://doaj.org/toc/2215-0161 |
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up_date |
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