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Automated acoustic monitoring of endangered common spadefoot toad populations reveals patterns of vocal activity
In the context of global amphibian decline, monitoring and restoration programmes are important. Acoustic monitoring is a possible approach for underwater vocalising species like the rapidly declining European common spadefoot toad ( Pelobates fuscus ). In this study, our aim was to design a dedicat...
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Published in: | Freshwater biology 2020-01, Vol.65 (1), p.20-36 |
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description | In the context of global amphibian decline, monitoring and restoration programmes are important. Acoustic monitoring is a possible approach for underwater vocalising species like the rapidly declining European common spadefoot toad (
Pelobates fuscus
). In this study, our aim was to design a dedicated software detector to be used in combination with programmable audio recorders to process the large amount of data generated by long‐term acoustic monitoring and to use it for investigating the seasonal and circadian patterns of
P. fuscus
vocal activity.
The software detector targets advertisement calls of the species. Based on acoustic analysis of that call, we developed a detector that utilises both frequency and time features of the calls. Data collected during three breeding seasons in four known or potential
P. fuscus
breeding sites of north‐eastern France were used to build a ground truth in order to test the performance of the detector. Then, we used the detector for analysing four acoustic monitoring campaigns conducted in two different sites over two breeding seasons to gain insight into the seasonal and circadian patterns of vocal activity of this species.
Evaluation of the
P. fuscus
call detector against a ground truth returned false‐positive rates below 1.5% and true‐positive rates ranging from 53% to 73%. These figures are compatible with long‐term monitoring of the presence of the species. Running the software detector on standard hardware, the computation time for post‐processing the 360 hr of a typical 3‐month monitoring campaign was less than 1 day.
The seasonal pattern of
P. fuscus
underwater vocal activity is more complex than previously recognised. Over the whole ostensible 3‐month breeding season, the actual time window for vocalising and breeding can last from a few days up to several weeks and may be split into clearly distinct episodes. When vocalisations occurred at both night‐ and daytime, the circadian vocal activity of
P. fuscus
occasionally proceeded uninterrupted for 24 hr but usually a several hour lull occurred immediately prior to sunset. When vocalisations occurred at both night‐ and daytime, the vocal activity pattern followed a bimodal distribution with a nocturnal highest peak of activity and a second peak occurring in the morning.
Our results demonstrate that it is feasible to monitor presence of
P. fuscus
in north‐eastern France using a dedicated software detector combined with programmable audio recorders. Based on the o |
doi_str_mv | 10.1111/fwb.13111 |
format | article |
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Pelobates fuscus
). In this study, our aim was to design a dedicated software detector to be used in combination with programmable audio recorders to process the large amount of data generated by long‐term acoustic monitoring and to use it for investigating the seasonal and circadian patterns of
P. fuscus
vocal activity.
The software detector targets advertisement calls of the species. Based on acoustic analysis of that call, we developed a detector that utilises both frequency and time features of the calls. Data collected during three breeding seasons in four known or potential
P. fuscus
breeding sites of north‐eastern France were used to build a ground truth in order to test the performance of the detector. Then, we used the detector for analysing four acoustic monitoring campaigns conducted in two different sites over two breeding seasons to gain insight into the seasonal and circadian patterns of vocal activity of this species.
Evaluation of the
P. fuscus
call detector against a ground truth returned false‐positive rates below 1.5% and true‐positive rates ranging from 53% to 73%. These figures are compatible with long‐term monitoring of the presence of the species. Running the software detector on standard hardware, the computation time for post‐processing the 360 hr of a typical 3‐month monitoring campaign was less than 1 day.
The seasonal pattern of
P. fuscus
underwater vocal activity is more complex than previously recognised. Over the whole ostensible 3‐month breeding season, the actual time window for vocalising and breeding can last from a few days up to several weeks and may be split into clearly distinct episodes. When vocalisations occurred at both night‐ and daytime, the circadian vocal activity of
P. fuscus
occasionally proceeded uninterrupted for 24 hr but usually a several hour lull occurred immediately prior to sunset. When vocalisations occurred at both night‐ and daytime, the vocal activity pattern followed a bimodal distribution with a nocturnal highest peak of activity and a second peak occurring in the morning.
Our results demonstrate that it is feasible to monitor presence of
P. fuscus
in north‐eastern France using a dedicated software detector combined with programmable audio recorders. Based on the outcomes of the detector applied to long‐term audio data sets, we reveal temporal patterns of the vocal activity of the species and subsequently provide recommendations for attended and unattended acoustic monitoring.</description><identifier>ISSN: 0046-5070</identifier><identifier>EISSN: 1365-2427</identifier><identifier>DOI: 10.1111/fwb.13111</identifier><language>eng</language><publisher>Oxford: Wiley Subscription Services, Inc</publisher><subject>Acoustics ; Activity patterns ; Aquatic reptiles ; Audio data ; Breeding seasons ; Breeding sites ; Circadian rhythms ; Computation ; Computer programs ; Daytime ; Environmental Sciences ; Ground truth ; Monitoring ; Night ; Population decline ; Recorders ; Restoration ; Seasonal variations ; Seasons ; Sensors ; Software ; Species ; Sunset ; Toads ; Underwater ; Underwater acoustics ; Windows (intervals)</subject><ispartof>Freshwater biology, 2020-01, Vol.65 (1), p.20-36</ispartof><rights>Copyright © 2020 John Wiley & Sons Ltd</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c291t-170e5e6e1b5956aa49e4507e8fd4c76da944b9d3f25878a35da4986b0a74a8973</citedby><cites>FETCH-LOGICAL-c291t-170e5e6e1b5956aa49e4507e8fd4c76da944b9d3f25878a35da4986b0a74a8973</cites><orcidid>0000-0003-3523-0589</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,777,781,882,27905,27906</link.rule.ids><backlink>$$Uhttps://hal.science/hal-02915522$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Dutilleux, Guillaume</creatorcontrib><creatorcontrib>Curé, Charlotte</creatorcontrib><title>Automated acoustic monitoring of endangered common spadefoot toad populations reveals patterns of vocal activity</title><title>Freshwater biology</title><description>In the context of global amphibian decline, monitoring and restoration programmes are important. Acoustic monitoring is a possible approach for underwater vocalising species like the rapidly declining European common spadefoot toad (
Pelobates fuscus
). In this study, our aim was to design a dedicated software detector to be used in combination with programmable audio recorders to process the large amount of data generated by long‐term acoustic monitoring and to use it for investigating the seasonal and circadian patterns of
P. fuscus
vocal activity.
The software detector targets advertisement calls of the species. Based on acoustic analysis of that call, we developed a detector that utilises both frequency and time features of the calls. Data collected during three breeding seasons in four known or potential
P. fuscus
breeding sites of north‐eastern France were used to build a ground truth in order to test the performance of the detector. Then, we used the detector for analysing four acoustic monitoring campaigns conducted in two different sites over two breeding seasons to gain insight into the seasonal and circadian patterns of vocal activity of this species.
Evaluation of the
P. fuscus
call detector against a ground truth returned false‐positive rates below 1.5% and true‐positive rates ranging from 53% to 73%. These figures are compatible with long‐term monitoring of the presence of the species. Running the software detector on standard hardware, the computation time for post‐processing the 360 hr of a typical 3‐month monitoring campaign was less than 1 day.
The seasonal pattern of
P. fuscus
underwater vocal activity is more complex than previously recognised. Over the whole ostensible 3‐month breeding season, the actual time window for vocalising and breeding can last from a few days up to several weeks and may be split into clearly distinct episodes. When vocalisations occurred at both night‐ and daytime, the circadian vocal activity of
P. fuscus
occasionally proceeded uninterrupted for 24 hr but usually a several hour lull occurred immediately prior to sunset. When vocalisations occurred at both night‐ and daytime, the vocal activity pattern followed a bimodal distribution with a nocturnal highest peak of activity and a second peak occurring in the morning.
Our results demonstrate that it is feasible to monitor presence of
P. fuscus
in north‐eastern France using a dedicated software detector combined with programmable audio recorders. Based on the outcomes of the detector applied to long‐term audio data sets, we reveal temporal patterns of the vocal activity of the species and subsequently provide recommendations for attended and unattended acoustic monitoring.</description><subject>Acoustics</subject><subject>Activity patterns</subject><subject>Aquatic reptiles</subject><subject>Audio data</subject><subject>Breeding seasons</subject><subject>Breeding sites</subject><subject>Circadian rhythms</subject><subject>Computation</subject><subject>Computer programs</subject><subject>Daytime</subject><subject>Environmental Sciences</subject><subject>Ground truth</subject><subject>Monitoring</subject><subject>Night</subject><subject>Population decline</subject><subject>Recorders</subject><subject>Restoration</subject><subject>Seasonal variations</subject><subject>Seasons</subject><subject>Sensors</subject><subject>Software</subject><subject>Species</subject><subject>Sunset</subject><subject>Toads</subject><subject>Underwater</subject><subject>Underwater acoustics</subject><subject>Windows (intervals)</subject><issn>0046-5070</issn><issn>1365-2427</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNpFkEFLwzAUx4MoOKcHv0HAk4fOJE2a9jiGOmHgRc_htUlnRtfUJK3s25s50VxeeO_H7z3-CN1SsqDpPbRf9YLm6XeGZjQvRMY4k-doRggvMkEkuURXIewIIaWQbIaG5RjdHqLRGBo3hmgbvHe9jc7bfotdi02vod8an4jG7dMMhwG0aZ2LODrQeHDD2EG0rg_Ym8lAF_AAMRqfGkkwuQa6ZI92svFwjS7aRJib3zpH70-Pb6t1tnl9flktN1nDKhozKokRpjC0FpUoAHhleDrflK3mjSw0VJzXlc5bJkpZQi50QsqiJiA5lJXM5-j-5P2ATg3e7sEflAOr1suNOvZI2iMEYxNN7N2JHbz7HE2IaudG36fzFMsZl0QWtPw3Nt6F4E37p6VEHcNXKXz1E37-Dd7veGw</recordid><startdate>20200101</startdate><enddate>20200101</enddate><creator>Dutilleux, Guillaume</creator><creator>Curé, Charlotte</creator><general>Wiley Subscription Services, Inc</general><general>Wiley</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7SN</scope><scope>7SS</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H95</scope><scope>L.G</scope><scope>M7N</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0003-3523-0589</orcidid></search><sort><creationdate>20200101</creationdate><title>Automated acoustic monitoring of endangered common spadefoot toad populations reveals patterns of vocal activity</title><author>Dutilleux, Guillaume ; Curé, Charlotte</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c291t-170e5e6e1b5956aa49e4507e8fd4c76da944b9d3f25878a35da4986b0a74a8973</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Acoustics</topic><topic>Activity patterns</topic><topic>Aquatic reptiles</topic><topic>Audio data</topic><topic>Breeding seasons</topic><topic>Breeding sites</topic><topic>Circadian rhythms</topic><topic>Computation</topic><topic>Computer programs</topic><topic>Daytime</topic><topic>Environmental Sciences</topic><topic>Ground truth</topic><topic>Monitoring</topic><topic>Night</topic><topic>Population decline</topic><topic>Recorders</topic><topic>Restoration</topic><topic>Seasonal variations</topic><topic>Seasons</topic><topic>Sensors</topic><topic>Software</topic><topic>Species</topic><topic>Sunset</topic><topic>Toads</topic><topic>Underwater</topic><topic>Underwater acoustics</topic><topic>Windows (intervals)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dutilleux, Guillaume</creatorcontrib><creatorcontrib>Curé, Charlotte</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 1: Biological Sciences & Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Freshwater biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dutilleux, Guillaume</au><au>Curé, Charlotte</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Automated acoustic monitoring of endangered common spadefoot toad populations reveals patterns of vocal activity</atitle><jtitle>Freshwater biology</jtitle><date>2020-01-01</date><risdate>2020</risdate><volume>65</volume><issue>1</issue><spage>20</spage><epage>36</epage><pages>20-36</pages><issn>0046-5070</issn><eissn>1365-2427</eissn><abstract>In the context of global amphibian decline, monitoring and restoration programmes are important. Acoustic monitoring is a possible approach for underwater vocalising species like the rapidly declining European common spadefoot toad (
Pelobates fuscus
). In this study, our aim was to design a dedicated software detector to be used in combination with programmable audio recorders to process the large amount of data generated by long‐term acoustic monitoring and to use it for investigating the seasonal and circadian patterns of
P. fuscus
vocal activity.
The software detector targets advertisement calls of the species. Based on acoustic analysis of that call, we developed a detector that utilises both frequency and time features of the calls. Data collected during three breeding seasons in four known or potential
P. fuscus
breeding sites of north‐eastern France were used to build a ground truth in order to test the performance of the detector. Then, we used the detector for analysing four acoustic monitoring campaigns conducted in two different sites over two breeding seasons to gain insight into the seasonal and circadian patterns of vocal activity of this species.
Evaluation of the
P. fuscus
call detector against a ground truth returned false‐positive rates below 1.5% and true‐positive rates ranging from 53% to 73%. These figures are compatible with long‐term monitoring of the presence of the species. Running the software detector on standard hardware, the computation time for post‐processing the 360 hr of a typical 3‐month monitoring campaign was less than 1 day.
The seasonal pattern of
P. fuscus
underwater vocal activity is more complex than previously recognised. Over the whole ostensible 3‐month breeding season, the actual time window for vocalising and breeding can last from a few days up to several weeks and may be split into clearly distinct episodes. When vocalisations occurred at both night‐ and daytime, the circadian vocal activity of
P. fuscus
occasionally proceeded uninterrupted for 24 hr but usually a several hour lull occurred immediately prior to sunset. When vocalisations occurred at both night‐ and daytime, the vocal activity pattern followed a bimodal distribution with a nocturnal highest peak of activity and a second peak occurring in the morning.
Our results demonstrate that it is feasible to monitor presence of
P. fuscus
in north‐eastern France using a dedicated software detector combined with programmable audio recorders. Based on the outcomes of the detector applied to long‐term audio data sets, we reveal temporal patterns of the vocal activity of the species and subsequently provide recommendations for attended and unattended acoustic monitoring.</abstract><cop>Oxford</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1111/fwb.13111</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0003-3523-0589</orcidid></addata></record> |
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source | Wiley-Blackwell Read & Publish Collection |
subjects | Acoustics Activity patterns Aquatic reptiles Audio data Breeding seasons Breeding sites Circadian rhythms Computation Computer programs Daytime Environmental Sciences Ground truth Monitoring Night Population decline Recorders Restoration Seasonal variations Seasons Sensors Software Species Sunset Toads Underwater Underwater acoustics Windows (intervals) |
title | Automated acoustic monitoring of endangered common spadefoot toad populations reveals patterns of vocal activity |
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