Show simple item record

Files in this item


Item metadata

dc.contributor.authorVan Dam-Bates, Paul
dc.contributor.authorPapathomas, Michail
dc.contributor.authorStevenson, Ben C.
dc.contributor.authorFewster, Rachel M.
dc.contributor.authorTurek, Daniel
dc.contributor.authorStewart, Frances E.C.
dc.contributor.authorBorchers, David Louis
dc.identifier.citationVan Dam-Bates , P , Papathomas , M , Stevenson , B C , Fewster , R M , Turek , D , Stewart , F E C & Borchers , D L 2024 , ' A flexible framework for spatial capture-recapture with unknown identities ' , Biometrics , vol. 80 , no. 1 , ujad019 .
dc.identifier.otherORCID: /0000-0002-3944-0754/work/154532557
dc.identifier.otherORCID: /0000-0002-5897-695X/work/154532675
dc.descriptionFunding: We acknowledge the funding support of the Natural Sciences and Engineering Research Council of Canada (NSERC) and the University of St Andrews. The fisher study was funded by InnoTech Alberta grants, Government of Alberta (Environment and Parks), The Beaver Hills Initiative, Alberta Conservation Association, NSERC, Royal Canadian Geographic Society, TD Friends of the Environment Foundation, and the Fur Institute of Canada scholarships.en
dc.description.abstractCamera traps or acoustic recorders are often used to sample wildlife populations. When animals can be individually identified, these data can be used with spatial capture-recapture (SCR) methods to assess populations. However, obtaining animal identities is often labor-intensive and not always possible for all detected animals. To address this problem, we formulate SCR, including acoustic SCR, as a marked Poisson process, comprising a single counting process for the detections of all animals and a mark distribution for what is observed (eg, animal identity, detector location). The counting process applies equally when it is animals appearing in front of camera traps and when vocalizations are captured by microphones, although the definition of a mark changes. When animals cannot be uniquely identified, the observed marks arise from a mixture of mark distributions defined by the animal activity centers and additional characteristics. Our method generalizes existing latent identity SCR models and provides an integrated framework that includes acoustic SCR. We apply our method to estimate density from a camera trap study of fisher (Pekania pennanti) and an acoustic survey of Cape Peninsula moss frog (Arthroleptella lightfooti). We also test it through simulation. We find latent identity SCR with additional marks such as sex or time of arrival to be a reliable method for estimating animal density.
dc.subjectAcoustic recordersen
dc.subjectCamera trapsen
dc.subjectMarked Poisson processesen
dc.subjectMixture modelen
dc.subjectSpatial clusteringen
dc.subjectQA Mathematicsen
dc.titleA flexible framework for spatial capture-recapture with unknown identitiesen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. Statisticsen
dc.contributor.institutionUniversity of St Andrews. Centre for Research into Ecological & Environmental Modellingen
dc.description.statusPeer revieweden

This item appears in the following Collection(s)

Show simple item record