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dc.contributor.authorMeasey, G. John
dc.contributor.authorStevenson, Ben C.
dc.contributor.authorScott, Tanya
dc.contributor.authorAltwegg, Res
dc.contributor.authorBorchers, David L.
dc.date.accessioned2016-12-02T00:33:35Z
dc.date.available2016-12-02T00:33:35Z
dc.date.issued2017-06
dc.identifier.citationMeasey , G J , Stevenson , B C , Scott , T , Altwegg , R & Borchers , D L 2017 , ' Counting chirps : acoustic monitoring of cryptic frogs ' , Journal of Applied Ecology , vol. 54 , no. 3 , pp. 894-902 . https://doi.org/10.1111/1365-2664.12810en
dc.identifier.issn0021-8901
dc.identifier.otherPURE: 245997147
dc.identifier.otherPURE UUID: 9e819670-c48a-42df-89bb-32c303b71ce9
dc.identifier.otherScopus: 85006152411
dc.identifier.otherWOS: 000401239100023
dc.identifier.otherORCID: /0000-0002-3944-0754/work/72842434
dc.identifier.urihttps://hdl.handle.net/10023/9921
dc.descriptionFunding for the frog survey was received from the National Geographic Society/Waitt Grants Program (No. W184-11). The EPSRC and NERC helped to fund this research through a PhD grant (No. EP/1000917/1) to D.L.B. R.A. and G.J.M. acknowledge initiative funding from the National Research Foundation of South Africa.en
dc.description.abstract1 .  Global amphibian declines have resulted in a vital need for monitoring programmes that follow population trends. Monitoring using advertisement calls is ideal as choruses are undisturbed during data collection. However, methods currently employed by managers frequently rely on trained observers, and/or do not provide density data on which to base trends. 2 .  This study explores the utility of monitoring using acoustic spatially explicit capture-recapture (aSECR) with time of arrival (ToA) and signal strength (SS) as a quantitative monitoring technique to measure call density of a threatened but visually cryptic anuran, the Cape peninsula moss frog Arthroleptella lightfooti. 3 .  The relationships between temporal and environmental variables (date, rainfall, temperature) and A. lightfooti call density at three study sites on the Cape peninsula, South Africa were examined. Acoustic data, collected from an array of six microphones over four months during the winter breeding season, provided a time series of call density estimates. 4 .  Model selection indicated that call density was primarily associated with seasonality fitted as a quadratic function. Call density peaked mid-breeding season. At the main study site, the lowest recorded mean call density (0·160 calls m-2 min-1) occurred in May and reached its peak mid-July (1·259 calls m-2 min-1). The sites differed in call density, but also the effective sampling area. 5 .  Synthesis and applications.The monitoring technique, acoustic spatially explicit capture–recapture (aSCR), quantitatively estimates call density without disturbing the calling animals or their environment, while time of arrival (ToA) and signal strength (SS) significantly add to the accuracy of call localisation, which in turn increases precision of call density estimates without the need for specialist field staff. This technique appears ideally suited to aid the monitoring of visually cryptic, acoustically active species.
dc.format.extent9
dc.language.isoeng
dc.relation.ispartofJournal of Applied Ecologyen
dc.rights© 2016 The Authors. Journal of Applied Ecology published by John Wiley & Sons Ltd on behalf of British Ecological Society. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.en
dc.subjectAcoustic spatially explicit capture-recaptureen
dc.subjectSignal strengthen
dc.subjectTime of arrivalen
dc.subjectTriangulationen
dc.subjectAnuransen
dc.subjectGE Environmental Sciencesen
dc.subjectQA Mathematicsen
dc.subjectQH301 Biologyen
dc.subjectDASen
dc.subject.lccGEen
dc.subject.lccQAen
dc.subject.lccQH301en
dc.titleCounting chirps : acoustic monitoring of cryptic frogsen
dc.typeJournal articleen
dc.contributor.sponsorEPSRCen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. Pure Mathematicsen
dc.contributor.institutionUniversity of St Andrews. Centre for Research into Ecological & Environmental Modellingen
dc.contributor.institutionUniversity of St Andrews. School of Mathematics and Statisticsen
dc.contributor.institutionUniversity of St Andrews. Marine Alliance for Science & Technology Scotlanden
dc.contributor.institutionUniversity of St Andrews. Scottish Oceans Instituteen
dc.identifier.doihttps://doi.org/10.1111/1365-2664.12810
dc.description.statusPeer revieweden
dc.date.embargoedUntil2016-12-01
dc.identifier.grantnumberEP/I000917/1en


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