Integrated data analysis in the presence of emigration and mark loss

Reynolds, Toby J.; King, Ruth; Harwood, John; Frederiksen, Morten; Harris, Michael; Wanless, Sarah

doi:10.1198/jabes.2009.08008

Cited by 37 publications

(45 citation statements)

References 37 publications

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“…For example, within bird studies, Kremers (1988) used two different types of rings placed on the same individual-non-permanent colour-coded rings that could be resighted and permanent metal rings that could only be identified upon recovery (following the death of an individual). Reynolds et al (2009) consider a similar approach, using the different types of rings to separately estimate both tag-loss rates and permanent emigration. We consider a different situation where we only observe live recaptures.…”

Section: Introductionmentioning

confidence: 99%

Estimating demographic parameters for capture–recapture data in the presence of multiple mark types

2010

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In mark-recapture studies, various techniques can be used to uniquely identify individual animals, such as ringing, tagging or photo-identification using natural markings. In some long-term studies more than one type of marking procedure may be implemented during the study period. In these circumstances, ignoring the different mark types can produce biased survival estimates since the assumption that the different mark types are equally catchable (homogeneous capture probability across mark types) may be incorrect. We implement an integrated approach where we simultaneously analyse data obtained using three different marking techniques, assuming that animals can be cross-classified across the different mark types. We discriminate between competing models using the AIC statistic. This technique also allows us to estimate both relative mark-loss probabilities and relative recapture efficiency rates for the different marking methods. We initially perform a simulation study to explore the different biases that can be introduced if we assume a homogeneous recapture probability over mark type, before applying the method to a real dataset. We make use of data obtained from an intensive long-term observational study of UK female grey seals (Halichoerus grypus) at a single breeding colony, where three different methods are used to identify individuals within a single study: branding, tagging and photo-identification based on seal coat pattern or pelage.

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Section: Introductionmentioning

confidence: 99%

Estimating demographic parameters for capture–recapture data in the presence of multiple mark types

2010

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“…If, in addition, data explicitly quantifying components of productivity are incorporated, it seems reasonable to expect that the performance of the integrated P/A model will be improved (c.f. Reynolds et al 2009;Cave et al, 2010). The methods of the present paper have assumed no movement of individuals between sites but a useful extension would relax this assumption, at least for neighbouring sites.…”

Section: Discussionmentioning

confidence: 99%

“…However, an integrated approach in which the resulting likelihood from (1) combined with (4) is multiplied by likelihoods for independent sets of data, dependent upon the same demographic parameters, might be used to allow estimation of the full set of parameters. The principle extends to species requiring models of a more complex agestructure (Besbeas et al 2002;Besbeas and Freeman 2006;Reynolds et al 2009). We shall only consider the simple model (4) here; an account of further age-dependence, and extension to stochastic versions of the deterministic model (3), is currently in preparation.…”

Section: Models For Site-specific Countsmentioning

confidence: 99%

Quantifying changes in abundance without counting animals: extensions to a method of fitting integrated population models

Freeman

Besbeas

2011

J Ornithol

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Article (refereed) -postprint AbstractIntegrated population modelling techniques combine information from population surveys and independent demographic studies to estimate population size, survival and productivity rates simultaneously. We review the development of the approach, and investigate further the potential to incorporate sources of population survey data other than those currently employed. Generally, the simpler the field protocol, the more data can be gathered; in the simplest case only a list of species encountered when a site is surveyed might be recorded. We extend the integrated approach to the case of presence/absence survey data from species lists. We consider specifically the extent to which high-quality demographic data, used in conjunction with an ecologically sound model, may result in credible estimates of change and the drivers of it in the context of either counts or presence/absence survey data. We propose an approach to practical model fitting, applicable in either context, using standard software and we illustrate its performance in practice. Examples are based on simulated data and records of species with very different trend and ecology, and they are used to compare approaches.

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“…Different mark types may include, for example, brands, tags, rings and photoidentification techniques. This can lead to multiple marks applied to a single individual [23,28]. The state of an individual corresponds to the set of identifying marks.…”

Section: Example 1 -Multiple Mark Typesmentioning

confidence: 99%

A generalised likelihood framework for partially observed capture–recapture–recovery models

King

McCrea

2014

Statistical Methodology

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We provide a closed form likelihood expression for multi-state mark-recapture-recovery data when the state of an individual may be only partially observed. The corresponding sufficient statistics are presented in addition to a matrix formulation which facilitates an efficient calculation of the likelihood.This likelihood framework provides a consistent and unified framework with many standard models applied to mark-recapture-recovery data as special cases.

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Integrated data analysis in the presence of emigration and mark loss

Cited by 37 publications

References 37 publications

Estimating demographic parameters for capture–recapture data in the presence of multiple mark types

Estimating demographic parameters for capture–recapture data in the presence of multiple mark types

Quantifying changes in abundance without counting animals: extensions to a method of fitting integrated population models

A generalised likelihood framework for partially observed capture–recapture–recovery models

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