2019
DOI: 10.1002/ecs2.2586
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An integrated model decomposing the components of detection probability and abundance in unmarked populations

Abstract: Accurate estimates of population abundance are essential to both theoretical and applied ecology. Rarely are all individuals detected during a survey and abundance models often incorporate some form of imperfect detection. Detection probability, however, consists of three components: probability of presence during a survey, probability of availability given presence, and probability of detection given availability and presence. We develop an integrated model to separate these three detection components and pro… Show more

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Cited by 25 publications
(34 citation statements)
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“…Our application of the hierarchal Bayesian model originally formulated for birds (Amundson et al 2014, Hostetter et al 2019) provided useful site-specific density estimates for this aquatic turtle. There was no overlap among credible intervals for low-and high-density estimates, suggesting the method could be used across large geographic areas to investigate species status and prioritize areas for conservation action.…”
Section: Discussionmentioning
confidence: 99%
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“…Our application of the hierarchal Bayesian model originally formulated for birds (Amundson et al 2014, Hostetter et al 2019) provided useful site-specific density estimates for this aquatic turtle. There was no overlap among credible intervals for low-and high-density estimates, suggesting the method could be used across large geographic areas to investigate species status and prioritize areas for conservation action.…”
Section: Discussionmentioning
confidence: 99%
“…The distribution of the total number of terrapins seen at a station summed for all four visits of terrapins. Future efforts could consider additional information (e.g., telemetry), modeling approaches that combine all four visits to estimate temporary emigration into a single model, and the development of density contour maps (K ery and Royle 2015, Hostetter et al 2019. Simple presence/absence surveys would otherwise be difficult to interpret because they lack information on sample effort, detection probabilities, and a definition of the area sampled (Efford and Dawson 2012).…”
Section: Discussionmentioning
confidence: 99%
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“…Another problem, which has received little attention, is that lek survey protocols do not ensure that an equal proportion of active leks are counted relative to the true (likely unknown or not estimated) population of leks (Sedinger 2007, Shyvers et al 2018). Additionally, lek detection probability (i.e., the product of the probability a lek is available for detection and the probability that an available lek is detected by an observer; Hostetter et al 2019) is typically unknown and not measurable with existing protocols. Lek detection probability may vary for several reasons.…”
mentioning
confidence: 99%