Incorporating individual variability into mark–recapture models
Article first published online: 1 OCT 2012
© 2012 CSIRO. Methods in Ecology and Evolution © 2012 British Ecological Society
Methods in Ecology and Evolution
Volume 3, Issue 6, pages 1047–1054, December 2012
How to Cite
Ford, J. H., Bravington, M. V., Robbins, J. (2012), Incorporating individual variability into mark–recapture models. Methods in Ecology and Evolution, 3: 1047–1054. doi: 10.1111/j.2041-210X.2012.00243.x
- Issue published online: 11 DEC 2012
- Article first published online: 1 OCT 2012
- Manuscript Accepted: 15 JUL 2012
- Manuscript Received: 18 OCT 2011
- hidden Markov model;
- Individual heterogeneity;
- marine reserve;
- North Atlantic humpback whales
- 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.
- 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.
- Simulation studies demonstrated accurate estimation of true parameter values with random effects models but bias sometimes resulted from fitting simpler models.
- 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.