2018
DOI: 10.1002/ece3.4854
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The adequacy of aging techniques in vertebrates for rapid estimation of population mortality rates from age distributions

Abstract: As a key parameter in population dynamics, mortality rates are frequently estimated using mark–recapture data, which requires extensive, long‐term data sets. As a potential rapid alternative, we can measure variables correlated to age, allowing the compilation of population age distributions, from which mortality rates can be derived. However, most studies employing such techniques have ignored their inherent inaccuracy and have thereby failed to provide reliable mortality estimates. In this study, we present … Show more

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Cited by 16 publications
(12 citation statements)
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“…The age of the lizards was determined by phalanx skeletochronology ( Comas et al. 2016 ), which is one of the most accurate age estimation techniques in animals ( Zhao et al. 2019 ).…”
Section: Methodsmentioning
confidence: 99%
“…The age of the lizards was determined by phalanx skeletochronology ( Comas et al. 2016 ), which is one of the most accurate age estimation techniques in animals ( Zhao et al. 2019 ).…”
Section: Methodsmentioning
confidence: 99%
“…To this end, knowing the age of individuals is helpful in studies in the wild. In temperate vertebrate ectotherms, growth shows seasonal variation and age can be determined through skeletochronology, for example, by counting lines of arrested growth in reptiles and amphibians, growth rings in fish scales or bands in fish otoliths (Zhao, Klaassen, Lisovski, & Klaassen, 2019).…”
Section: Global Warming Fast Growth and Ageing In Ectothermsmentioning
confidence: 99%
“…Age information is important for both ex situ and in situ wildlife conservation, as it is relevant to individual behaviour, health, reproductive capacity and mortality (Blomqvist & Sten, 1982; Kirkwood & Austad, 2000; Nussey et al., 2013; Youn et al., 2022; Zhao et al., 2019). Age estimation can help determine demographic characteristics and predict current and future extinction risks for wildlife populations (Lacy, 2019; Oli & Dobson, 2003).…”
Section: Introductionmentioning
confidence: 99%