دورية أكاديمية
A flexible framework for spatial capture-recapture with unknown identities.
| العنوان: | A flexible framework for spatial capture-recapture with unknown identities. |
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| المؤلفون: | van Dam-Bates P; School of Mathematics and Statistics, University of St Andrews, St Andrews, Fife, KY16 9LZ, United Kingdom., Papathomas M; School of Mathematics and Statistics, University of St Andrews, St Andrews, Fife, KY16 9LZ, United Kingdom., Stevenson BC; Department of Statistics, University of Auckland, Auckland, 1010, New Zealand., Fewster RM; Department of Statistics, University of Auckland, Auckland, 1010, New Zealand., Turek D; Department of Mathematics and Statistics, Williams College, Williamstown, 01267, United States., Stewart FEC; Department of Biology, Wilfrid Laurier University, Waterloo, N2L 3C5, Canada., Borchers DL; School of Mathematics and Statistics, University of St Andrews, St Andrews, Fife, KY16 9LZ, United Kingdom.; Centre for Statistics in Ecology, Environment and Conservation, Department of Statistical Sciences, University of Cape Town, Private Bag 7700, Rondebosch, South Africa. |
| المصدر: | Biometrics [Biometrics] 2024 Jan 29; Vol. 80 (1). |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Oxford University Press Country of Publication: United States NLM ID: 0370625 Publication Model: Print Cited Medium: Internet ISSN: 1541-0420 (Electronic) Linking ISSN: 0006341X NLM ISO Abbreviation: Biometrics Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: March 2024- : [Oxford] : Oxford University Press Original Publication: Alexandria Va : Biometric Society |
| مواضيع طبية MeSH: | Population Density*, Animals ; Computer Simulation |
| مستخلص: | Camera 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. (© The Author(s) 2024. Published by Oxford University Press on behalf of The International Biometric Society.) |
| معلومات مُعتمدة: | Innotech Alberta; Natural Sciences and Engineering Research Council of Canada |
| فهرسة مساهمة: | Keywords: acoustic recorders; camera traps; marked Poisson processes; mixture model; spatial clustering |
| تواريخ الأحداث: | Date Created: 20240219 Date Completed: 20240220 Latest Revision: 20240220 |
| رمز التحديث: | 20240220 |
| DOI: | 10.1093/biomtc/ujad019 |
| PMID: | 38372400 |
| قاعدة البيانات: | MEDLINE |
| تدمد: | 1541-0420 |
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| DOI: | 10.1093/biomtc/ujad019 |