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The effects of acoustic misclassification on cetacean species abundance estimation

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The effects of acoustic misclassification on cetacean species abundance estimation. / Caillat, Marjolaine Annie; Thomas, Len; Gillespie, Douglas Michael.

In: Journal of the Acoustical Society of America, Vol. 134, No. 3, 25.12.2013, p. 2469–2476.

Research output: Contribution to journalArticle

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Caillat, MA, Thomas, L & Gillespie, DM 2013, 'The effects of acoustic misclassification on cetacean species abundance estimation' Journal of the Acoustical Society of America, vol. 134, no. 3, pp. 2469–2476. https://doi.org/10.1121/1.4816569

APA

Caillat, M. A., Thomas, L., & Gillespie, D. M. (2013). The effects of acoustic misclassification on cetacean species abundance estimation. Journal of the Acoustical Society of America, 134(3), 2469–2476. https://doi.org/10.1121/1.4816569

Vancouver

Caillat MA, Thomas L, Gillespie DM. The effects of acoustic misclassification on cetacean species abundance estimation. Journal of the Acoustical Society of America. 2013 Dec 25;134(3):2469–2476. https://doi.org/10.1121/1.4816569

Author

Caillat, Marjolaine Annie ; Thomas, Len ; Gillespie, Douglas Michael. / The effects of acoustic misclassification on cetacean species abundance estimation. In: Journal of the Acoustical Society of America. 2013 ; Vol. 134, No. 3. pp. 2469–2476.

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@article{8819af3f9c5a4150813d7b50a7394bae,
title = "The effects of acoustic misclassification on cetacean species abundance estimation",
abstract = "To estimate the density or abundance of a cetacean species using acoustic detection data, it is necessary to correctly identify the species that are detected. Developing an automated species classifier with 100{\%} correct classification rate for any species is likely to stay out of reach. It is therefore necessary to consider the effect of misidentified detections on the number of observed data and consequently on abundance or density estimation, and develop methods to cope with these misidentifications. If misclassification rates are known, it is possible to estimate the true numbers of detected calls without bias. However, misclassification and uncertainties in the level of misclassification increase the variance of the estimates. If the true numbers of calls from different species are similar, then a small amount of misclassification between species and a small amount of uncertainty around the classification probabilities does not have an overly detrimental effect on the overall variance. However, if there is a difference in the encounter rate between species calls and/or a large amount of uncertainty in misclassification rates, then the variance of the estimates becomes very large and this dramatically increases the variance of the final abundance estimate.",
author = "Caillat, {Marjolaine Annie} and Len Thomas and Gillespie, {Douglas Michael}",
note = "This work was funded through the Natural Environment Research Council and SMRU Ltd.",
year = "2013",
month = "12",
day = "25",
doi = "10.1121/1.4816569",
language = "English",
volume = "134",
pages = "2469–2476",
journal = "Journal of the Acoustical Society of America",
issn = "0001-4966",
publisher = "Acoustical Society of America",
number = "3",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - The effects of acoustic misclassification on cetacean species abundance estimation

AU - Caillat, Marjolaine Annie

AU - Thomas, Len

AU - Gillespie, Douglas Michael

N1 - This work was funded through the Natural Environment Research Council and SMRU Ltd.

PY - 2013/12/25

Y1 - 2013/12/25

N2 - To estimate the density or abundance of a cetacean species using acoustic detection data, it is necessary to correctly identify the species that are detected. Developing an automated species classifier with 100% correct classification rate for any species is likely to stay out of reach. It is therefore necessary to consider the effect of misidentified detections on the number of observed data and consequently on abundance or density estimation, and develop methods to cope with these misidentifications. If misclassification rates are known, it is possible to estimate the true numbers of detected calls without bias. However, misclassification and uncertainties in the level of misclassification increase the variance of the estimates. If the true numbers of calls from different species are similar, then a small amount of misclassification between species and a small amount of uncertainty around the classification probabilities does not have an overly detrimental effect on the overall variance. However, if there is a difference in the encounter rate between species calls and/or a large amount of uncertainty in misclassification rates, then the variance of the estimates becomes very large and this dramatically increases the variance of the final abundance estimate.

AB - To estimate the density or abundance of a cetacean species using acoustic detection data, it is necessary to correctly identify the species that are detected. Developing an automated species classifier with 100% correct classification rate for any species is likely to stay out of reach. It is therefore necessary to consider the effect of misidentified detections on the number of observed data and consequently on abundance or density estimation, and develop methods to cope with these misidentifications. If misclassification rates are known, it is possible to estimate the true numbers of detected calls without bias. However, misclassification and uncertainties in the level of misclassification increase the variance of the estimates. If the true numbers of calls from different species are similar, then a small amount of misclassification between species and a small amount of uncertainty around the classification probabilities does not have an overly detrimental effect on the overall variance. However, if there is a difference in the encounter rate between species calls and/or a large amount of uncertainty in misclassification rates, then the variance of the estimates becomes very large and this dramatically increases the variance of the final abundance estimate.

U2 - 10.1121/1.4816569

DO - 10.1121/1.4816569

M3 - Article

VL - 134

SP - 2469

EP - 2476

JO - Journal of the Acoustical Society of America

T2 - Journal of the Acoustical Society of America

JF - Journal of the Acoustical Society of America

SN - 0001-4966

IS - 3

ER -

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ID: 50918198