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Incorporating animal movement into distance sampling

Research output: Contribution to journalArticle

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Incorporating animal movement into distance sampling. / Glennie, Richard; Buckland, Stephen Terrence; Langrock, Roland; Gerrodette, Tim; Ballance, Lisa; Chivers, Susan; Scott, Michael; Perrin, William.

In: Journal of the American Statistical Association, 08.09.2017.

Research output: Contribution to journalArticle

Harvard

Glennie, R, Buckland, ST, Langrock, R, Gerrodette, T, Ballance, L, Chivers, S, Scott, M & Perrin, W 2017, 'Incorporating animal movement into distance sampling' Journal of the American Statistical Association.

APA

Glennie, R., Buckland, S. T., Langrock, R., Gerrodette, T., Ballance, L., Chivers, S., ... Perrin, W. (2017). Incorporating animal movement into distance sampling. Manuscript submitted for publication.

Vancouver

Glennie R, Buckland ST, Langrock R, Gerrodette T, Ballance L, Chivers S et al. Incorporating animal movement into distance sampling. Journal of the American Statistical Association. 2017 Sep 8.

Author

Glennie, Richard ; Buckland, Stephen Terrence ; Langrock, Roland ; Gerrodette, Tim ; Ballance, Lisa ; Chivers, Susan ; Scott, Michael ; Perrin, William. / Incorporating animal movement into distance sampling. In: Journal of the American Statistical Association. 2017.

Bibtex - Download

@article{a90fbe1990874e78ace94256ff1131e5,
title = "Incorporating animal movement into distance sampling",
abstract = "Distance sampling is a popular statistical method to estimate the density of wild animal populations. Conventional distance sampling represents animals as fixed points in space that are detected with an unknown probability that depends on the distance between the observer and the animal. Animal movement, responsive or non-responsive to the observer, can cause substantial bias in density estimation. Methods to correct for responsive animal movement exist, but none account for non-responsive movement independent of the observer. Here, an explicit animal movement model is incorporated into distance sampling, combining distance sampling survey data with independently obtained animal telemetry data.A detection probability that depends on the entire unobserved path the animal travels is derived in continuous space-time. The intractable integration overall possible animal paths is approximated by a hidden Markov model. A simulation study shows the method to be negligibly biased (less than 5{\%}) in scenarios where conventional distance sampling overestimates abundance by up to 100{\%}.The method is applied to a line transect survey of spotted dolphins (Stenella attenuata attenuata) in the eastern tropical Pacific.",
keywords = "Abundance, Distance sampling, Animal movement",
author = "Richard Glennie and Buckland, {Stephen Terrence} and Roland Langrock and Tim Gerrodette and Lisa Ballance and Susan Chivers and Michael Scott and William Perrin",
year = "2017",
month = "9",
day = "8",
language = "English",
journal = "Journal of the American Statistical Association",
issn = "0162-1459",
publisher = "Taylor and Francis",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Incorporating animal movement into distance sampling

AU - Glennie, Richard

AU - Buckland, Stephen Terrence

AU - Langrock, Roland

AU - Gerrodette, Tim

AU - Ballance, Lisa

AU - Chivers, Susan

AU - Scott, Michael

AU - Perrin, William

PY - 2017/9/8

Y1 - 2017/9/8

N2 - Distance sampling is a popular statistical method to estimate the density of wild animal populations. Conventional distance sampling represents animals as fixed points in space that are detected with an unknown probability that depends on the distance between the observer and the animal. Animal movement, responsive or non-responsive to the observer, can cause substantial bias in density estimation. Methods to correct for responsive animal movement exist, but none account for non-responsive movement independent of the observer. Here, an explicit animal movement model is incorporated into distance sampling, combining distance sampling survey data with independently obtained animal telemetry data.A detection probability that depends on the entire unobserved path the animal travels is derived in continuous space-time. The intractable integration overall possible animal paths is approximated by a hidden Markov model. A simulation study shows the method to be negligibly biased (less than 5%) in scenarios where conventional distance sampling overestimates abundance by up to 100%.The method is applied to a line transect survey of spotted dolphins (Stenella attenuata attenuata) in the eastern tropical Pacific.

AB - Distance sampling is a popular statistical method to estimate the density of wild animal populations. Conventional distance sampling represents animals as fixed points in space that are detected with an unknown probability that depends on the distance between the observer and the animal. Animal movement, responsive or non-responsive to the observer, can cause substantial bias in density estimation. Methods to correct for responsive animal movement exist, but none account for non-responsive movement independent of the observer. Here, an explicit animal movement model is incorporated into distance sampling, combining distance sampling survey data with independently obtained animal telemetry data.A detection probability that depends on the entire unobserved path the animal travels is derived in continuous space-time. The intractable integration overall possible animal paths is approximated by a hidden Markov model. A simulation study shows the method to be negligibly biased (less than 5%) in scenarios where conventional distance sampling overestimates abundance by up to 100%.The method is applied to a line transect survey of spotted dolphins (Stenella attenuata attenuata) in the eastern tropical Pacific.

KW - Abundance

KW - Distance sampling

KW - Animal movement

M3 - Article

JO - Journal of the American Statistical Association

T2 - Journal of the American Statistical Association

JF - Journal of the American Statistical Association

SN - 0162-1459

ER -

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ID: 251041173