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dc.contributor.authorStevenson, B.C.
dc.contributor.authorBorchers, D.L.
dc.contributor.authorAltwegg, R.
dc.contributor.authorSwift, R.J.
dc.contributor.authorGillespie, D.M.
dc.contributor.authorMeasey, G.J.
dc.date.accessioned2015-11-16T00:11:45Z
dc.date.available2015-11-16T00:11:45Z
dc.date.issued2015-01
dc.identifier159574983
dc.identifier84acb336-f43c-4bf3-b2e5-8189a35b4f86
dc.identifier000348537800004
dc.identifier84921593757
dc.identifier.citationStevenson , B C , Borchers , D L , Altwegg , R , Swift , R J , Gillespie , D M & Measey , G J 2015 , ' A general framework for animal density estimation from acoustic detections across a fixed microphone array ' , Methods in Ecology and Evolution , vol. 6 , no. 1 , pp. 38-48 . https://doi.org/10.1111/2041-210X.12291en
dc.identifier.issn2041-210X
dc.identifier.otherORCID: /0000-0001-9628-157X/work/60427053
dc.identifier.otherORCID: /0000-0002-3944-0754/work/72842432
dc.identifier.urihttps://hdl.handle.net/10023/7786
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/I000917/1).en
dc.description.abstract1. Acoustic monitoring can be an efficient, cheap, non-invasive alternative to physical trapping of individuals. Spatially explicit capture-recapture (SECR) methods have been proposed to estimate calling animal abundance and density from data collected by a fixed array of microphones. However, these methods make some assumptions that are unlikely to hold in many situations, and the consequences of violating these are yet to be investigated. 2. We generalize existing acoustic SECR methodology, enabling these methods to be used in a much wider variety of situations. We incorporate time-of-arrival (TOA) data collected by the microphone array, increasing the precision of calling animal density estimates. We use our method to estimate calling male density of the Cape Peninsula Moss Frog Arthroleptella lightfooti. 3. Our method gives rise to an estimator of calling animal density that has negligible bias, and 95% confidence intervals with appropriate coverage. We show that using TOA information can substantially improve estimate precision. 4. Our analysis of the A. lightfooti data provides the first statistically rigorous estimate of calling male density for an anuran population using a microphone array. This method fills a methodological gap in the monitoring of frog populations and is applicable to acoustic monitoring of other species that call or vocalize.
dc.format.extent11
dc.format.extent484496
dc.language.isoeng
dc.relation.ispartofMethods in Ecology and Evolutionen
dc.subjectAnuraen
dc.subjectBootstrapen
dc.subjectFrog advertisement callen
dc.subjectMaximum likelihooden
dc.subjectPyxicephalidaeen
dc.subjectSpatially explicit capture–recaptureen
dc.subjectTime of arrivalen
dc.subjectQH301 Biologyen
dc.subjectDASen
dc.subjectBDCen
dc.subjectR2Cen
dc.subject.lccQH301en
dc.titleA general framework for animal density estimation from acoustic detections across a fixed microphone arrayen
dc.typeJournal articleen
dc.contributor.sponsorEPSRCen
dc.contributor.sponsorNERCen
dc.contributor.institutionUniversity of St Andrews. School of Mathematics and Statisticsen
dc.contributor.institutionUniversity of St Andrews. Centre for Research into Ecological & Environmental Modellingen
dc.contributor.institutionUniversity of St Andrews. Marine Alliance for Science & Technology Scotlanden
dc.contributor.institutionUniversity of St Andrews. Scottish Oceans Instituteen
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
dc.contributor.institutionUniversity of St Andrews. Sea Mammal Research Uniten
dc.contributor.institutionUniversity of St Andrews. Sound Tags Groupen
dc.contributor.institutionUniversity of St Andrews. Bioacoustics groupen
dc.identifier.doi10.1111/2041-210X.12291
dc.description.statusPeer revieweden
dc.date.embargoedUntil2015-11-16
dc.identifier.urlhttp://onlinelibrary.wiley.com/doi/10.1111/2041-210X.12291/suppinfoen
dc.identifier.grantnumberEP/I000917/1en
dc.identifier.grantnumberNE/J020176/1en


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