Skip to content

Research at St Andrews

A general framework for animal density estimation from acoustic detections across a fixed microphone array

Research output: Contribution to journalArticle

Standard

A general framework for animal density estimation from acoustic detections across a fixed microphone array. / Stevenson, B.C.; Borchers, D.L.; Altwegg, R.; Swift, R.J.; Gillespie, D.M.; Measey, G.J.

In: Methods in Ecology and Evolution, Vol. 6, No. 1, 01.2015, p. 38-48.

Research output: Contribution to journalArticle

Harvard

Stevenson, BC, Borchers, DL, Altwegg, R, Swift, RJ, Gillespie, DM & Measey, GJ 2015, 'A general framework for animal density estimation from acoustic detections across a fixed microphone array', Methods in Ecology and Evolution, vol. 6, no. 1, pp. 38-48. https://doi.org/10.1111/2041-210X.12291

APA

Stevenson, B. C., Borchers, D. L., Altwegg, R., Swift, R. J., Gillespie, D. M., & Measey, G. J. (2015). A general framework for animal density estimation from acoustic detections across a fixed microphone array. Methods in Ecology and Evolution, 6(1), 38-48. https://doi.org/10.1111/2041-210X.12291

Vancouver

Stevenson BC, Borchers DL, Altwegg R, Swift RJ, Gillespie DM, Measey GJ. A general framework for animal density estimation from acoustic detections across a fixed microphone array. Methods in Ecology and Evolution. 2015 Jan;6(1):38-48. https://doi.org/10.1111/2041-210X.12291

Author

Stevenson, B.C. ; Borchers, D.L. ; Altwegg, R. ; Swift, R.J. ; Gillespie, D.M. ; Measey, G.J. / A general framework for animal density estimation from acoustic detections across a fixed microphone array. In: Methods in Ecology and Evolution. 2015 ; Vol. 6, No. 1. pp. 38-48.

Bibtex - Download

@article{84acb336f43c4bf3b2e58189a35b4f86,
title = "A general framework for animal density estimation from acoustic detections across a fixed microphone array",
abstract = "Acoustic monitoring can be an efficient, cheap, non-invasive alternative to physical trapping of individuals. Spatially explicit capture-recapture (SECR) methods have been proposed to estimate calling animal abundance and density from data collected by a fixed array of microphones. However, these methods make some assumptions that are unlikely to hold in many situations, and the consequences of violating these are yet to be investigated. We generalize existing acoustic SECR methodology, enabling these methods to be used in a much wider variety of situations. We incorporate time-of-arrival (TOA) data collected by the microphone array, increasing the precision of calling animal density estimates. We use our method to estimate calling male density of the Cape Peninsula Moss Frog Arthroleptella lightfooti. Our method gives rise to an estimator of calling animal density that has negligible bias, and 95{\%} confidence intervals with appropriate coverage. We show that using TOA information can substantially improve estimate precision. Our analysis of the A. lightfooti data provides the first statistically rigorous estimate of calling male density for an anuran population using a microphone array. This method fills a methodological gap in the monitoring of frog populations and is applicable to acoustic monitoring of other species that call or vocalize.",
keywords = "Anura, Bootstrap, Frog advertisement call, Maximum likelihood, Pyxicephalidae, Spatially explicit capture–recapture, Time of arrival",
author = "B.C. Stevenson and D.L. Borchers and R. Altwegg and R.J. Swift and D.M. Gillespie and G.J. Measey",
note = "Funding for the frog survey was received from the National Geographic Society/Waitt Grants Program (No. W184-11). The EPSRC and NERC helped to fund this research through a PhD grant (No. EP/I000917/1).",
year = "2015",
month = "1",
doi = "10.1111/2041-210X.12291",
language = "English",
volume = "6",
pages = "38--48",
journal = "Methods in Ecology and Evolution",
issn = "2041-210X",
publisher = "John Wiley & Sons, Ltd (10.1111)",
number = "1",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - A general framework for animal density estimation from acoustic detections across a fixed microphone array

AU - Stevenson, B.C.

AU - Borchers, D.L.

AU - Altwegg, R.

AU - Swift, R.J.

AU - Gillespie, D.M.

AU - Measey, G.J.

N1 - Funding for the frog survey was received from the National Geographic Society/Waitt Grants Program (No. W184-11). The EPSRC and NERC helped to fund this research through a PhD grant (No. EP/I000917/1).

PY - 2015/1

Y1 - 2015/1

N2 - Acoustic monitoring can be an efficient, cheap, non-invasive alternative to physical trapping of individuals. Spatially explicit capture-recapture (SECR) methods have been proposed to estimate calling animal abundance and density from data collected by a fixed array of microphones. However, these methods make some assumptions that are unlikely to hold in many situations, and the consequences of violating these are yet to be investigated. We generalize existing acoustic SECR methodology, enabling these methods to be used in a much wider variety of situations. We incorporate time-of-arrival (TOA) data collected by the microphone array, increasing the precision of calling animal density estimates. We use our method to estimate calling male density of the Cape Peninsula Moss Frog Arthroleptella lightfooti. Our method gives rise to an estimator of calling animal density that has negligible bias, and 95% confidence intervals with appropriate coverage. We show that using TOA information can substantially improve estimate precision. Our analysis of the A. lightfooti data provides the first statistically rigorous estimate of calling male density for an anuran population using a microphone array. This method fills a methodological gap in the monitoring of frog populations and is applicable to acoustic monitoring of other species that call or vocalize.

AB - Acoustic monitoring can be an efficient, cheap, non-invasive alternative to physical trapping of individuals. Spatially explicit capture-recapture (SECR) methods have been proposed to estimate calling animal abundance and density from data collected by a fixed array of microphones. However, these methods make some assumptions that are unlikely to hold in many situations, and the consequences of violating these are yet to be investigated. We generalize existing acoustic SECR methodology, enabling these methods to be used in a much wider variety of situations. We incorporate time-of-arrival (TOA) data collected by the microphone array, increasing the precision of calling animal density estimates. We use our method to estimate calling male density of the Cape Peninsula Moss Frog Arthroleptella lightfooti. Our method gives rise to an estimator of calling animal density that has negligible bias, and 95% confidence intervals with appropriate coverage. We show that using TOA information can substantially improve estimate precision. Our analysis of the A. lightfooti data provides the first statistically rigorous estimate of calling male density for an anuran population using a microphone array. This method fills a methodological gap in the monitoring of frog populations and is applicable to acoustic monitoring of other species that call or vocalize.

KW - Anura

KW - Bootstrap

KW - Frog advertisement call

KW - Maximum likelihood

KW - Pyxicephalidae

KW - Spatially explicit capture–recapture

KW - Time of arrival

UR - http://onlinelibrary.wiley.com/doi/10.1111/2041-210X.12291/suppinfo

U2 - 10.1111/2041-210X.12291

DO - 10.1111/2041-210X.12291

M3 - Article

VL - 6

SP - 38

EP - 48

JO - Methods in Ecology and Evolution

JF - Methods in Ecology and Evolution

SN - 2041-210X

IS - 1

ER -

Related by author

  1. Large scale surveys for cetaceans: line transect assumptions, reliability of abundance estimates and improving survey efficiency – A response to MacLeod

    Hammond, P. S., Gillespie, D. M., Lovell, P., Samarra, F. I. P., Swift, R. J., Macleod, K., Tasker, M. L., Berggren, P., Borchers, D. L., Burt, M. L., Paxton, C. G. M., Canadas, A., Desportes, G., Donovan, G. P., Gilles, A., Lehnert, K., Siebert, U., Gordon, J. C. D., Leaper, R., Leopold, M. & 8 others, Scheidat, M., Oien, N., Ridoux, V., Rogan, E., Skov, H., Teilmann, J., Van Canneyt, O. & Vazquez, J. A., Feb 2014, In : Biological Conservation. 170, p. 338-339

    Research output: Contribution to journalLetter

  2. Cetacean abundance and distribution in European Atlantic shelf waters to inform conservation and management

    Hammond, P. S., Macleod, K., Berggren, P., Borchers, D. L., Burt, M. L., Cañadas, A., Desportes, G., Donovan, G. P., Gilles, A., Gillespie, D. M., Gordon, J. C. D., Hiby, L., Kuklik, I., Leaper, R., Lehnert, K., Leopold, M., Lovell, P., Øien, N., Paxton, C. G. M., Ridoux, V. & 11 others, Rogan, E., Samarra, F. I. P., Scheidat, M., Sequeira, M., Siebert, U., Skov, H., Swift, R. J., Tasker, M., Teilmann, J., Van Canneyt, O. & Vázquez, J. A., Aug 2013, In : Biological Conservation. 164, p. 107-122

    Research output: Contribution to journalArticle

  3. Automated detection and tracking of marine mammals: a novel sonar tool for monitoring effects of marine industry

    Hastie, G. D., Wu, G-M., Moss, S., Jepp, P., MacAulay, J. D. J., Lee, A., Sparling, C. E., Evers, C. H. M. & Gillespie, D. M., 6 Sep 2019, In : Aquatic Conservation: Marine and Freshwater Ecosystems. 29, S1, p. 119-130

    Research output: Contribution to journalArticle

  4. Open population maximum likelihood spatial capture-recapture

    Glennie, R., Borchers, D. L., Murchie, M., Harmsen, B. J. & Foster, R. J., 25 Jul 2019, In : Biometrics. Early View, 11 p.

    Research output: Contribution to journalArticle

  5. inlabru: an R package for Bayesian spatial modelling from ecological survey data

    Bachl, F. E., Lindgren, F., Borchers, D. L. & Illian, J. B., Jun 2019, In : Methods in Ecology and Evolution. 10, 6, p. 760-766 7 p.

    Research output: Contribution to journalArticle

Related by journal

  1. Methods in Ecology and Evolution (Journal)

    Michael Blair Morrissey (Member of editorial board)
    1 Jan 20171 Jan 2020

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

  2. Methods in Ecology and Evolution (Journal)

    Theoni Photopoulou (Editor)
    2017 → …

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

  3. Methods in Ecology and Evolution (Journal)

    Oscar Eduardo Gaggiotti (Member of editorial board)
    1 Sep 2014 → …

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

Related by journal

  1. A 2.6-gram sound and movement tag for studying the acoustic scene and kinematics of echolocating bats

    Stidsholt, L., Johnson, M., Beedholm, K., Jakobsen, L., Kugler, K., Brinkløv, S., Salles, A., Moss, C. F. & Madsen, P. T., Jan 2019, In : Methods in Ecology and Evolution. 10, 1, p. 48-58 11 p.

    Research output: Contribution to journalArticle

  2. Model selection with overdispersed distance sampling data

    Howe, E. J., Buckland, S. T., Després-Einspenner, M-L. & Kühl, H. S., Jan 2019, In : Methods in Ecology and Evolution. 10, 1, p. 38-47

    Research output: Contribution to journalArticle

  3. State-switching continuous-time correlated random walks

    Michelot, T. & Blackwell, P. G., 14 Feb 2019, In : Methods in Ecology and Evolution. Early View

    Research output: Contribution to journalArticle

  4. The Langevin diffusion as a continuous-time model of animal movement and habitat selection

    Michelot, T., Gloaguen, P., Blackwell, P. G. & Etienne, M-P., 24 Aug 2019, In : Methods in Ecology and Evolution. Early View

    Research output: Contribution to journalArticle

  5. inlabru: an R package for Bayesian spatial modelling from ecological survey data

    Bachl, F. E., Lindgren, F., Borchers, D. L. & Illian, J. B., Jun 2019, In : Methods in Ecology and Evolution. 10, 6, p. 760-766 7 p.

    Research output: Contribution to journalArticle

ID: 159574983

Top