2023
DOI: 10.1002/ecs2.4470
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An infectious disease outbreak and increased mortality in wild alpine reindeer

Abstract: Climate changes may lead to tipping points where the epidemiological characteristics of infectious wildlife diseases suddenly change, leading to outbreaks. However, empirically documented cases of the extent to which emerging infectious diseases (EIDs) affect populations of large vertebrates are few, partly because of the limited surveillance of remote wildlife populations. EIDs may potentially lead to higher mortality than mean mortality levels. Here, we quantified the likely impact of digital necrobacillosis… Show more

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Cited by 3 publications
(6 citation statements)
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“…The population size of wild reindeer on Hardangervidda is estimated based on the four surveys in the annual monitoring of the population and is associated with some uncertainty (Mysterud et al, 2020(Mysterud et al, , 2023Nilsen & Strand, 2018). A harvesting strategy based on overestimation of the actual population size will result in an unintentionally increased risk of loss of genetic variation and population decline (Lee & Saether, 2022;Wiedenmann & Jensen, 2018).…”
Section: Discussionmentioning
confidence: 99%
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“…The population size of wild reindeer on Hardangervidda is estimated based on the four surveys in the annual monitoring of the population and is associated with some uncertainty (Mysterud et al, 2020(Mysterud et al, , 2023Nilsen & Strand, 2018). A harvesting strategy based on overestimation of the actual population size will result in an unintentionally increased risk of loss of genetic variation and population decline (Lee & Saether, 2022;Wiedenmann & Jensen, 2018).…”
Section: Discussionmentioning
confidence: 99%
“…The data from the four surveys enables us to estimate the annual population size (N), and age and sex structure just prior to the harvest (Kvalnes et al, 2024; see Supporting Information A, Figures A1-A3) using an integrated population model (Kéry & Schaub, 2012;Mysterud et al, 2020Mysterud et al, , 2023Nilsen & Strand, 2018). This is a hierarchical change-in-ratio model with parameters estimated using Bayesian inference, and accounts for the available surveys having different coverages of the population from year to year.…”
Section: Estimation Of Population Sizesmentioning
confidence: 99%
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