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A Bayesian capture-recapture population model with simultaneous estimation of heterogeneity


Corkrey, R and Brooks, S and Lusseau, D and Parsons, K and Durban, JW and Hammond, PS and Thompson, PM, A Bayesian capture-recapture population model with simultaneous estimation of heterogeneity, Journal of the American Statistical Association, 103, (483) pp. 948-960. ISSN 0162-1459 (2008) [Refereed Article]

Copyright Statement

Copyright 2008 American Statistical Association

DOI: doi:10.1198/016214507000001256


We develop a Bayesian capture-recapture model that provides estimates of abundance as well as time-varying and heterogeneous survival and capture probability distributions. The model uses a state-space approach by incorporating an underlying population model and an observation model, and here is applied to photo-identification data to estimate trends in the abundance and survival of a population of bottlenose dolphins (Tursiops truncatus) in northeast Scotland. Novel features of the model include simultaneous estimation of time-varying survival and capture probability distributions, estimation of heterogeneity effects for survival and capture, use of separate data to inflate the number of identified animals to the total abundance, and integration of separate observations of the same animals from right and left side photographs. A Bayesian approach using Markov chain Monte Carlo methods allows for uncertainty in measurement and parameters, and simulations confirm the model's validity.

Item Details

Item Type:Refereed Article
Keywords:abundance, logits, photo-identification, survival, trends
Research Division:Mathematical Sciences
Research Group:Statistics
Research Field:Applied statistics
Objective Division:Environmental Management
Objective Group:Marine systems and management
Objective Field:Marine biodiversity
UTAS Author:Corkrey, R (Dr Ross Corkrey)
ID Code:44345
Year Published:2008
Web of Science® Times Cited:17
Deposited By:Agricultural Science
Deposited On:2008-08-01
Last Modified:2015-02-10

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