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A new approach to estimate fecundity rate from inter-birth intervals

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A new approach to estimate fecundity rate from inter-birth intervals. / Arso Civil, Mònica; Cheney, Barbara; Quick, Nicola J.; Thompson, Paul M.; Hammond, Philip S.

In: Ecosphere, Vol. 8, No. 4, e01796, 04.2017.

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Arso Civil, M, Cheney, B, Quick, NJ, Thompson, PM & Hammond, PS 2017, 'A new approach to estimate fecundity rate from inter-birth intervals', Ecosphere, vol. 8, no. 4, e01796. https://doi.org/10.1002/ecs2.1796

APA

Arso Civil, M., Cheney, B., Quick, N. J., Thompson, P. M., & Hammond, P. S. (2017). A new approach to estimate fecundity rate from inter-birth intervals. Ecosphere, 8(4), [e01796]. https://doi.org/10.1002/ecs2.1796

Vancouver

Arso Civil M, Cheney B, Quick NJ, Thompson PM, Hammond PS. A new approach to estimate fecundity rate from inter-birth intervals. Ecosphere. 2017 Apr;8(4). e01796. https://doi.org/10.1002/ecs2.1796

Author

Arso Civil, Mònica ; Cheney, Barbara ; Quick, Nicola J. ; Thompson, Paul M. ; Hammond, Philip S. / A new approach to estimate fecundity rate from inter-birth intervals. In: Ecosphere. 2017 ; Vol. 8, No. 4.

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@article{bb626ada4ce24bc3871cc00a60646f00,
title = "A new approach to estimate fecundity rate from inter-birth intervals",
abstract = "Accurate estimates of fecundity rate are key to population assessments and effectively direct conservation efforts. We present a new approach to estimate fecundity rate based on the probability of a female giving birth, conditional on a previous birth t years ago, from which an expected inter-birth interval (IBI) can be estimated. We use generalized linear mixed-effects models to account for individual and temporal variability and apply the approach to individual reproductive histories of bottlenose dolphins (Tursiops truncatus) from the east coast of Scotland. We estimate a fecundity rate of 0.222 (95{\%} CI = 0.218–0.253) and an expected IBI of 4.49 yr (95{\%} CI = 3.94–4.93 yr). We use simulated data samples to show that the approach produces estimates with a minimum bias of <3{\%}. Simulations are also used to investigate the effect of the most common data-driven biases in the estimates of birth intervals and fecundity rate; we recommend longitudinal studies of at least 10 yr and capture probabilities of at least 0.3 when using this methodology. The approach may be modified to incorporate other parameters of interest and should be applicable to any population with comprehensive data on birth intervals.",
keywords = "Birth interval, Birth probablility, Bottlenose dolphin, Cetaceans, Fecundity, Generalized linear mixed model, Mark-recapture data",
author = "{Arso Civil}, M{\`o}nica and Barbara Cheney and Quick, {Nicola J.} and Thompson, {Paul M.} and Hammond, {Philip S.}",
note = "Funding for this work was provided by the Department of Energy and Climate Change (UK). Photo-identification data were collected during a series of grants and contracts from the BES, ASAB, Greenpeace Environmental Trust, Scottish Natural Heritage, Scottish Government, Whale and Dolphin Conservation, Talisman Energy (UK) Ltd., DECC, Chevron, and the Natural Environment Research Council.",
year = "2017",
month = "4",
doi = "10.1002/ecs2.1796",
language = "English",
volume = "8",
journal = "Ecosphere",
issn = "2150-8925",
publisher = "Ecological Society of America",
number = "4",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - A new approach to estimate fecundity rate from inter-birth intervals

AU - Arso Civil, Mònica

AU - Cheney, Barbara

AU - Quick, Nicola J.

AU - Thompson, Paul M.

AU - Hammond, Philip S.

N1 - Funding for this work was provided by the Department of Energy and Climate Change (UK). Photo-identification data were collected during a series of grants and contracts from the BES, ASAB, Greenpeace Environmental Trust, Scottish Natural Heritage, Scottish Government, Whale and Dolphin Conservation, Talisman Energy (UK) Ltd., DECC, Chevron, and the Natural Environment Research Council.

PY - 2017/4

Y1 - 2017/4

N2 - Accurate estimates of fecundity rate are key to population assessments and effectively direct conservation efforts. We present a new approach to estimate fecundity rate based on the probability of a female giving birth, conditional on a previous birth t years ago, from which an expected inter-birth interval (IBI) can be estimated. We use generalized linear mixed-effects models to account for individual and temporal variability and apply the approach to individual reproductive histories of bottlenose dolphins (Tursiops truncatus) from the east coast of Scotland. We estimate a fecundity rate of 0.222 (95% CI = 0.218–0.253) and an expected IBI of 4.49 yr (95% CI = 3.94–4.93 yr). We use simulated data samples to show that the approach produces estimates with a minimum bias of <3%. Simulations are also used to investigate the effect of the most common data-driven biases in the estimates of birth intervals and fecundity rate; we recommend longitudinal studies of at least 10 yr and capture probabilities of at least 0.3 when using this methodology. The approach may be modified to incorporate other parameters of interest and should be applicable to any population with comprehensive data on birth intervals.

AB - Accurate estimates of fecundity rate are key to population assessments and effectively direct conservation efforts. We present a new approach to estimate fecundity rate based on the probability of a female giving birth, conditional on a previous birth t years ago, from which an expected inter-birth interval (IBI) can be estimated. We use generalized linear mixed-effects models to account for individual and temporal variability and apply the approach to individual reproductive histories of bottlenose dolphins (Tursiops truncatus) from the east coast of Scotland. We estimate a fecundity rate of 0.222 (95% CI = 0.218–0.253) and an expected IBI of 4.49 yr (95% CI = 3.94–4.93 yr). We use simulated data samples to show that the approach produces estimates with a minimum bias of <3%. Simulations are also used to investigate the effect of the most common data-driven biases in the estimates of birth intervals and fecundity rate; we recommend longitudinal studies of at least 10 yr and capture probabilities of at least 0.3 when using this methodology. The approach may be modified to incorporate other parameters of interest and should be applicable to any population with comprehensive data on birth intervals.

KW - Birth interval

KW - Birth probablility

KW - Bottlenose dolphin

KW - Cetaceans

KW - Fecundity

KW - Generalized linear mixed model

KW - Mark-recapture data

UR - http://onlinelibrary.wiley.com/doi/10.1002/ecs2.1796/full

UR - http://onlinelibrary.wiley.com/doi/10.1002/ecs2.1796/full#footer-support-info

U2 - 10.1002/ecs2.1796

DO - 10.1002/ecs2.1796

M3 - Article

VL - 8

JO - Ecosphere

JF - Ecosphere

SN - 2150-8925

IS - 4

M1 - e01796

ER -

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