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.

Highlights

  • Estimates of population growth are often reliant on following individuals throughout their lives to determine survival and reproductive rates

  • We aim to revisit this data for three reasons (1) to quantify tag loss for animals over seven years old that 17 years of data are available, (2) quantify differences in survival rate estimates and population growth rate when independence is assumed vs. not assumed, and (3) perform the analysis in a Bayesian framework so posterior distributions of tag loss probability may be used as priors in analyses of future cohorts and other populations

  • The probability an animal has survived but lost all its tags is the key to determining the importance of non-independent tag loss on survival rate estimates

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Summary

Introduction

Estimates of population growth are often reliant on following individuals throughout their lives to determine survival and reproductive rates. In order to do so, individuals require unique identifying marks. When animals lose all markings, statistical models that do not account for mark loss assume animals that have lost all marks are instead mortality events, and one cannot estimate the probability of mark loss when only one mark is present. To solve the mark-loss estimation problem, many studies mark animals with two marks (Bjornsson et al 2011), and analysis of double marks most commonly assumes the probability of losing one mark is independent of losing the other mark (Beauplet et al 2005, Oosthuizen et al 2010, Juillet et al 2011)

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