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Incorporating individual variability into mark–recapture models


Ford, JH and Bravington, MV and Robbins, J, Incorporating individual variability into mark-recapture models, Methods in Ecology and Evolution, 3, (6) pp. 1047-1054. ISSN 2041-210X (2012) [Refereed Article]

Copyright Statement

Copyright 2012 CSIRO

DOI: doi:10.1111/j.2041-210X.2012.00243.x


  1. Understanding individual variation is a key challenge in ecology. Inherent individual differences in movement and behaviour pose fundamental problems in the analysis of mark–recapture data as unmodelled individual differences can bias estimates of population size and survival rates. Multi-state mark–recapture models have been the focus of much recent research but have yet to explicitly incorporate individual variability.
  2. We use a multi-state mark–recapture model with individual-level random effects, built in admb-re, a software tool that automatically provides an accurate analytical approximation of the likelihood which is otherwise intractable. We tested the model using simulation studies and applied the model to data from North Atlantic humpback whales in the Stellwagen Bank National Marine Sanctuary where heterogeneity is apparent in both sighting probability and site preference.
  3. Simulation studies demonstrated accurate estimation of true parameter values with random effects models but bias sometimes resulted from fitting simpler models.
  4. In application to data from the North Atlantic humpback whales, we were able to estimate both annual variation in the local population and three measures of individual-level variation. Results indicate considerable heterogeneity within this population in both sighting probability and site preference. Ignoring random effects led to bias in estimates of proportion of time within a marine reserve.

Item Details

Item Type:Refereed Article
Keywords:hidden Markov model, individual heterogeneity, marine reserve, mark–recapture, multi-state, North Atlantic humpback whales
Research Division:Biological Sciences
Research Group:Ecology
Research Field:Behavioural ecology
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the biological sciences
UTAS Author:Ford, JH (Ms Jessica Ford)
ID Code:83714
Year Published:2012
Web of Science® Times Cited:16
Deposited By:IMAS Research and Education Centre
Deposited On:2013-03-21
Last Modified:2015-08-13

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