Skip to content

Research at St Andrews

A spatially explicit capture-recapture estimator for single-catch traps

Research output: Contribution to journalArticle

DOI

Open Access permissions

Open

Abstract

1. Single-catch traps are frequently used in live-trapping studies of small mammals. Thus far a likelihood for single-catch traps has proven elusive and usually the likelihood for multi-catch traps is used for spatially explicit capture-recapture (SECR) analyses of such data. Previous work found the multi-catch likelihood to provide a robust estimator of average density.
2. We build on a recently developed continuous-time model for SECR to derive a likelihood for single-catch traps. We use this to develop an estimator based on observed capture times and compare its performance by simulation to that of the multi-catch estimator for various scenarios with non-constant density surfaces.
3. While the multi-catch estimator is found to be a surprisingly robust estimator of average density, its performance deteriorates with high trap saturation and increasing density gradients. Moreover, it is found to be a poor estimator of the height (but not range) of the detection function. By contrast, the single catch estimators of density, distribution and detection function parameters are found to be unbiased or nearly unbiased in all scenarios considered. This gain comes at the cost of higher variance, so that despite the lower bias of the single-catch estimator of the density surface over space, its root mean squared error is similar to that of the multi-catch estimator.
4. If there is no interest in interpreting the detection function parameters themselves, and if density is expected to be fairly constantover the survey region, then the multi-catch estimator performs well with single-catch traps. However if accurate estimation of the detection function is of interest, or if density is expected to vary substantially in space, then there is merit in using the single-catch estimator when trap saturation is above about 60%. The estimator’s performance is improved if care is taken to place traps so as to span the range of variables that affect animal distribution. As a single-catch likelihood with unknown capture times remains intractable for now, researchers using single-catch traps should aim to incorporate timing devices with their traps.
Close

Details

Original languageEnglish
Pages (from-to)5075-5087
Number of pages13
JournalEcology and Evolution
Volume5
Issue number21
Early online date19 Oct 2015
DOIs
StatePublished - Nov 2015

    Research areas

  • Spatially explicit capture recapture (SECR), Density estimation, Statistical methods, Single-catch trap likelihood

Discover related content
Find related publications, people, projects and more using interactive charts.

View graph of relations

Related by author

  1. Cluster capture-recapture to account for identification uncertainty on aerial surveys of animal populations

    Stevenson, B., Borchers, D. L. & Fewster, R. 24 Sep 2018 (Accepted/In press) In : Biometrics. In press

    Research output: Contribution to journalArticle

  2. Point process models for spatio-temporal distance sampling data from a large-scale survey of blue whales

    Yuan, Y., Bachl, F. E., Lindgren, F., Borchers, D. L., Illian, J. B., Buckland, S. T., Rue, H. & Gerrodette, T. Dec 2017 In : Annals of Applied Statistics. 11, 4, p. 2270-2297

    Research output: Contribution to journalArticle

  3. Guest editors’ introduction to the special issue on “Ecological Statistics”

    Langrock, R. & Borchers, D. L. 1 Oct 2017 In : AStA Advances in Statistical Analysis. 101, 4, p. 345-347 3 p.

    Research output: Contribution to journalEditorial

  4. From distance sampling to spatial capture-recapture

    Borchers, D. L. & Marques, T. A. Oct 2017 In : Advances in Statistical Analysis. 101, 4, p. 475-494 20 p.

    Research output: Contribution to journalArticle

  5. Open population maximum likelihood spatial capture-recapture

    Glennie, R., Borchers, D. L., Murchie, M., Harmsen, B. & Foster, R. 4 Sep 2017 (Submitted) In : Biometrics. 9 p.

    Research output: Contribution to journalArticle

Related by journal

  1. Ecology and Evolution (Journal)

    Cresswell, W. (Reviewer)
    28 Sep 2017

    Activity: Publication peer-review and editorial workPeer review of manuscripts

  2. Ecology and Evolution (Journal)

    Hanson, N. N. (Reviewer)
    2016

    Activity: Publication peer-review and editorial workPeer review of manuscripts

  3. Ecology and Evolution (Journal)

    Shuker, D. M. (Member of editorial board)
    2011

    Activity: Publication peer-review and editorial workEditor of research journal

Related by journal

  1. Accounting for preferential sampling in species distribution models

    Pennino, M. G., Paradinas, I., Illian, J. B., Muñoz, F., Bellido, J. M., López-Quílez, A. & Conesa, D. 1 Jan 2019 In : Ecology and Evolution. 9, 1, p. 653-663 11 p.

    Research output: Contribution to journalArticle

  2. Long-term sound and movement recording tags to study natural behavior and reaction to ship noise of seals

    Mikkelsen, L., Johnson, M., Wisniewska, D. M., van Neer, A., Siebert, U., Madsen, P. T. & Teilmann, J. 6 Feb 2019 In : Ecology and Evolution. Early View, 14 p.

    Research output: Contribution to journalArticle

  3. Repeat disturbances have cumulative impacts on stream communities

    Haghkerdar, J. M., McLachlan, J. R., Ireland, A. & Greig, H. S. 14 Feb 2019 In : Ecology and Evolution. Early View, 9 p.

    Research output: Contribution to journalArticle

  4. Social effects on fruit fly courtship song

    Marie-Orleach, L., Bailey, N. W. & Ritchie, M. G. Jan 2019 In : Ecology and Evolution. 9, 1, p. 410-416 7 p.

    Research output: Contribution to journalArticle

  5. Variations in age- and sex-specific survival rates help explain population trend in a discrete marine mammal population

    Arso Civil, M., Cheney, B., Quick, N. J., Islas-Villanueva, V., Graves, J. A., Janik, V. M., Thompson, P. M. & Hammond, P. S. Jan 2019 In : Ecology and Evolution. 9, 1, p. 533-544 12 p.

    Research output: Contribution to journalArticle

ID: 212427725