Quantifying telemetry collar bias when age is unknown: A simulation study with a long‐lived ungulate

Abstract Radiotelemetry collars are frequently used to estimate demographic parameters of animals, such as annual survival and parturition rates. If animals are collared for multiple years and statistical adjustments are not made, these estimates can be biased by an unrepresentative age structure an...

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Published in:The Journal of Wildlife Management
Main Authors: Prichard, Alexander K., Joly, Kyle, Dau, Jim
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2012
Subjects:
Online Access:http://dx.doi.org/10.1002/jwmg.394
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spelling crwiley:10.1002/jwmg.394 2024-06-02T08:01:57+00:00 Quantifying telemetry collar bias when age is unknown: A simulation study with a long‐lived ungulate Prichard, Alexander K. Joly, Kyle Dau, Jim 2012 http://dx.doi.org/10.1002/jwmg.394 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fjwmg.394 https://onlinelibrary.wiley.com/doi/full/10.1002/jwmg.394 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor The Journal of Wildlife Management volume 76, issue 7, page 1441-1449 ISSN 0022-541X 1937-2817 journal-article 2012 crwiley https://doi.org/10.1002/jwmg.394 2024-05-03T10:51:31Z Abstract Radiotelemetry collars are frequently used to estimate demographic parameters of animals, such as annual survival and parturition rates. If animals are collared for multiple years and statistical adjustments are not made, these estimates can be biased by an unrepresentative age structure and individual variability of collared animals. To quantify the effects of different factors on the magnitude of these potential biases, we created a computer simulation of the female portion of a barren‐ground caribou ( Rangifer tarandus granti ) herd and then randomly assigned collars to individuals within the simulated population. Under our default model, based on the Western Arctic Herd monitoring program, caribou were collared randomly from all females aged 2 years and over, and they remained collared for a mean of 7 years. Our simulations revealed that survival rates were underestimated by approximately 3.4% and parturition rates were overestimated by approximately 3.3%. The magnitude of these biases increased when individuals remained collared for longer periods. Increased individual variability in the population resulted in only small increases in survival and parturition rates. Because the magnitude of the bias increased steadily during the first years of the study, we found a substantial risk of incorrectly identifying a significant decline in survival in the first 7 years after marking. Including the number of years individual animals have been collared as a covariate in analyses can reduce the biases in demographic parameters and should be considered for inclusion in analyses when animal age is unknown. Actual survival rate estimates from telemetry data for the Western Arctic Herd were generally consistent with the results of these simulations. These potential biases should be considered when interpreting demographic parameters from multi‐year collaring studies. © 2012 The Wildlife Society. Article in Journal/Newspaper Arctic caribou Rangifer tarandus Wiley Online Library Arctic The Journal of Wildlife Management 76 7 1441 1449
institution Open Polar
collection Wiley Online Library
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language English
description Abstract Radiotelemetry collars are frequently used to estimate demographic parameters of animals, such as annual survival and parturition rates. If animals are collared for multiple years and statistical adjustments are not made, these estimates can be biased by an unrepresentative age structure and individual variability of collared animals. To quantify the effects of different factors on the magnitude of these potential biases, we created a computer simulation of the female portion of a barren‐ground caribou ( Rangifer tarandus granti ) herd and then randomly assigned collars to individuals within the simulated population. Under our default model, based on the Western Arctic Herd monitoring program, caribou were collared randomly from all females aged 2 years and over, and they remained collared for a mean of 7 years. Our simulations revealed that survival rates were underestimated by approximately 3.4% and parturition rates were overestimated by approximately 3.3%. The magnitude of these biases increased when individuals remained collared for longer periods. Increased individual variability in the population resulted in only small increases in survival and parturition rates. Because the magnitude of the bias increased steadily during the first years of the study, we found a substantial risk of incorrectly identifying a significant decline in survival in the first 7 years after marking. Including the number of years individual animals have been collared as a covariate in analyses can reduce the biases in demographic parameters and should be considered for inclusion in analyses when animal age is unknown. Actual survival rate estimates from telemetry data for the Western Arctic Herd were generally consistent with the results of these simulations. These potential biases should be considered when interpreting demographic parameters from multi‐year collaring studies. © 2012 The Wildlife Society.
format Article in Journal/Newspaper
author Prichard, Alexander K.
Joly, Kyle
Dau, Jim
spellingShingle Prichard, Alexander K.
Joly, Kyle
Dau, Jim
Quantifying telemetry collar bias when age is unknown: A simulation study with a long‐lived ungulate
author_facet Prichard, Alexander K.
Joly, Kyle
Dau, Jim
author_sort Prichard, Alexander K.
title Quantifying telemetry collar bias when age is unknown: A simulation study with a long‐lived ungulate
title_short Quantifying telemetry collar bias when age is unknown: A simulation study with a long‐lived ungulate
title_full Quantifying telemetry collar bias when age is unknown: A simulation study with a long‐lived ungulate
title_fullStr Quantifying telemetry collar bias when age is unknown: A simulation study with a long‐lived ungulate
title_full_unstemmed Quantifying telemetry collar bias when age is unknown: A simulation study with a long‐lived ungulate
title_sort quantifying telemetry collar bias when age is unknown: a simulation study with a long‐lived ungulate
publisher Wiley
publishDate 2012
url http://dx.doi.org/10.1002/jwmg.394
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fjwmg.394
https://onlinelibrary.wiley.com/doi/full/10.1002/jwmg.394
geographic Arctic
geographic_facet Arctic
genre Arctic
caribou
Rangifer tarandus
genre_facet Arctic
caribou
Rangifer tarandus
op_source The Journal of Wildlife Management
volume 76, issue 7, page 1441-1449
ISSN 0022-541X 1937-2817
op_rights http://onlinelibrary.wiley.com/termsAndConditions#vor
op_doi https://doi.org/10.1002/jwmg.394
container_title The Journal of Wildlife Management
container_volume 76
container_issue 7
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