Charles Darwin University

CDU eSpace
Institutional Repository

CDU Staff and Student only

The implications of assuming independent tag loss in southern elephant seals

Schwarz, L. K., Hindell, Mark A., McMahon, Clive R. and Costa, Daniel P. (2012). The implications of assuming independent tag loss in southern elephant seals. Ecosphere,3(9 ():Article 81.

Document type: Journal Article
Citation counts:
Google Scholar Search Google Scholar
Attached Files (Some files may be inaccessible until you login with your CDU eSpace credentials)
Name Description MIMEType Size Downloads
Download this reading McMahon_38152.pdf Published version application/pdf 2.18MB 255
Reading the attached file works best in Firefox, Chrome and IE 9 or later.

IRMA ID 82057923xPUB285
Title The implications of assuming independent tag loss in southern elephant seals
Author Schwarz, L. K.
Hindell, Mark A.
McMahon, Clive R.
Costa, Daniel P.
Journal Name Ecosphere
Publication Date 2012
Volume Number 3
Issue Number 9 (
ISSN 2150-8925   (check CDU catalogue open catalogue search in new window)
Start Page Article 81
Total Pages 11
Place of Publication United States
Publisher Ecological Society of America
HERDC Category C1 - Journal Article (DIISR)
Abstract Survival and reproductive rate estimation requires following uniquely identified individuals through time, and many statistical models assume markings used to identify individuals are permanent. However, survival rates are underestimated when single marks are lost, since the models will effectively score those animals as dead. In order to account for mark loss, some researchers use a double-mark approach, assuming the probability of losing one mark is independent of losing the other one. Therefore, mark loss can be estimated using animals that have lost one mark. Using a 17-year dataset of southern elephant seals (Mirounga leonina) marked with permanent brands and two cattle tags in their hind flippers, we were able to compare tag loss and survival rate estimates with and without the assumption of independent tag loss with respect to age, sex, and wean mass. We demonstrate the assumption of independent tag loss is not valid, showing it is more likely for an animal to lose both tags than just one or the other. The assumption of independent tag loss leads to an underestimate of survival rates which in turn leads to underestimates of population growth rate. In addition, tag loss rates are different by sex and age, with older males more likely to lose tags. Tag loss is also a quadratic function of wean mass through age two, with smaller and larger animals more likely to lose both tags. Such differences are possibly due to differences in behavior, flipper growth, and immune response. Using a Bayesian approach, we will be able to use our tag loss estimates as priors in future analyses for a subset of marked animals that only have flipper tags. With this population, the independent tag loss models are more likely to incorrectly estimate a declining population (growth rate < 1.0), potentially leading to unwarranted management action. To account for non-independent mark loss in survival rate studies, we recommend researchers use at least two forms of marking on at least a subset of animals. However, neither form of marking need be permanent as long as mark loss is independent between the different forms.
Keywords Bayesian
Macquarie Island
Mirounga leonia
population growth rate
DOI   (check subscription with CDU E-Gateway service for CDU Staff and Students  check subscription with CDU E-Gateway in new window)
Additional Notes Copyright: © 2012 Schwarz et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits restricted use, distribution, and reproduction in any medium, provided the original author and sources are credited

© copyright

Every reasonable effort has been made to ensure that permission has been obtained for items included in CDU eSpace. If you believe that your rights have been infringed by this repository, please contact

Version Filter Type
Access Statistics: 192 Abstract Views, 255 File Downloads  -  Detailed Statistics
Created: Fri, 17 Jan 2014, 01:14:35 CST