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Open population maximum likelihood spatial capture-recapture

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openpopscr.pdf (451.6Kb)
Date
04/09/2017
Author
Glennie, Richard
Borchers, David Louis
Murchie, Matthew
Harmsen, Bart
Foster, Rebecca
Keywords
Abundance
Survival
Spatial capture-recapture
Open population models
QA Mathematics
QH301 Biology
DAS
Metadata
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Abstract
Open population capture-recapture models are widely used to estimate population demographics and abundance over time. Bayesian methods exist to incorporate open population modelling with spatial capture-recapture, allowing for estimation ofthe effective area sampled and population density. Here, open population spatial capture-recapture, both Cormack-Jolly-Seber and Jolly-Seber models, is formulated as a hidden Markov model, allowing inference by maximum likelihood. The method is applied to a twelve-year survey of male jaguars (Panthera onca) in the Cockscomb Wildlife Sanctuary Basin, Belize, to estimate the apparent survival and population abundance over time. The hidden Markov model approach is compared with Bayesian data augmentation, demonstrating it to be substantially more efficient. A simulation study shows maximum likelihood inference to be negligibly biased for small sample sizes and recapture rates.
Citation
Glennie , R , Borchers , D L , Murchie , M , Harmsen , B & Foster , R 2017 , ' Open population maximum likelihood spatial capture-recapture ' Biometrics .
Publication
Biometrics
Status
Non peer reviewed
ISSN
0006-341X
Type
Journal article
Rights
Copyright 2017 the Author(s). This paper is currently (27 September 2017) under peer-review at a journal. Please check with the authors for a later version before citing
Collections
  • Mathematics & Statistics Research
  • Centre for Higher Education Research (CHER) Research
  • Centre for Research into Ecological & Environmental Modelling (CREEM) Research
  • Scottish Oceans Institute Research
  • University of St Andrews Research
URI
http://hdl.handle.net/10023/11758

Items in the St Andrews Research Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

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