Skip to content

Research at St Andrews

Distance sampling detection functions: 2D or not 2D?

Research output: Contribution to journalArticlepeer-review

DOI

Open Access permissions

Open

Abstract

Conventional distance sampling (CDS) methods assume that animals are uniformly distributed in the vicinity of lines or points. But when animals move in response to observers before detection, or when lines or points are not located randomly, this assumption may fail. By formulating distance sampling models as survival models, we show that using time to first detection in addition to perpendicular distance (line transect surveys) or radial distance (point transect surveys) allows estimation of detection probability, and hence density, when animal distribution in the vicinity of lines or points is not uniform and is unknown. We also show that times to detection can provide information about failure of the CDS assumption that detection probability is 1 at distance zero. We obtain a maximum likelihood estimator of line transect survey detection probability and effective strip half-width using times to detection, and we investigate its properties by simulation in situations where animals are nonuniformly distributed and their distribution is unknown. The estimator is found to perform well when detection probability at distance zero is 1. It allows unbiased estimates of density to be obtained in this case from surveys in which there has been responsive movement prior to animals coming within detectable range. When responsive movement continues within detectable range, estimates may be biased but are likely less biased than estimates from methods that assuming no responsive movement. We illustrate by estimating primate density from a line transect survey in which animals are known to avoid the transect line, and a shipboard survey of dolphins that are attracted to it.
Close

Details

Original languageEnglish
Pages (from-to)593-602
Number of pages10
JournalBiometrics
Volume73
Issue number2
Early online date17 Oct 2016
DOIs
Publication statusPublished - 15 Jun 2017

    Research areas

  • g(0)=1, Line transect, Point transect, Removal method, Responsive movement, Survival analysis

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

View graph of relations

Related by author

  1. Fast, flexible alternatives to regular grid designs for spatial capture-recapture

    Durbach, I. N., Borchers, D. L., Sutherland, C. & Sharma, K., Feb 2021, In: Methods in Ecology and Evolution. 12, 2, p. 298-310

    Research output: Contribution to journalArticlepeer-review

  2. A latent capture history model for digital aerial surveys

    Borchers, D. L., Nightingale, P., Stevenson, B. C. & Fewster, R. M., 10 Dec 2020, In: Biometrics. Early View, 12 p.

    Research output: Contribution to journalArticlepeer-review

  3. Uncovering ecological state dynamics with hidden Markov models

    McClintock, B. T., Langrock, R., Gimenez, O., Cam, E., Borchers, D. L., Glennie, R. & Patterson, T. A., 19 Oct 2020, In: Ecology Letters. Early View, 26 p.

    Research output: Contribution to journalArticlepeer-review

  4. Using continuous-time spatial capture–recapture models to make inference about animal activity patterns

    Distiller, G. B., Borchers, D. L., Foster, R. J. & Harmsen, B. J., 9 Oct 2020, In: Ecology and Evolution. Early View, 12 p., e6822.

    Research output: Contribution to journalArticlepeer-review

  5. Listening and watching: do camera traps or acoustic sensors more efficiently detect wild chimpanzees in an open habitat?

    Crunchant, A-S., Borchers, D., Kühl, H. & Piel, A., Apr 2020, In: Methods in Ecology and Evolution. 11, 4, p. 542-552

    Research output: Contribution to journalArticlepeer-review

Related by journal

  1. Biometrics (Journal)

    Stephen Terrence Buckland (Editor)

    20052011

    Activity: Publication peer-review and editorial work typesEditor of research journal

  2. Biometrics (Journal)

    David Louis Borchers (Editor)

    2001 → …

    Activity: Publication peer-review and editorial work typesEditor of research journal

Related by journal

  1. A latent capture history model for digital aerial surveys

    Borchers, D. L., Nightingale, P., Stevenson, B. C. & Fewster, R. M., 10 Dec 2020, In: Biometrics. Early View, 12 p.

    Research output: Contribution to journalArticlepeer-review

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

    Stevenson, B. C., Borchers, D. L. & Fewster, R. M., 2019, In: Biometrics. 75, 1, p. 326-336 11 p.

    Research output: Contribution to journalArticlepeer-review

  3. Inference in MCMC step selection models

    Michelot, T., Blackwell, P. G., Chamaillé-Jammes, S. & Matthiopoulos, J., 9 Dec 2019, In: Biometrics. Early View, 10 p.

    Research output: Contribution to journalArticlepeer-review

  4. Open population maximum likelihood spatial capture-recapture

    Glennie, R., Borchers, D. L., Murchie, M., Harmsen, B. J. & Foster, R. J., Dec 2019, In: Biometrics. 75, 4, p. 1345-1355 11 p.

    Research output: Contribution to journalArticlepeer-review

ID: 246904402

Top