2019
DOI: 10.2981/wlb.00552
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Estimating sightability of greater sage-grouse at leks using an aerial infrared system and N-mixture models

Abstract: BioOne Complete (complete.BioOne.org) is a full-text database of 200 subscribed and open-access titles in the biological, ecological, and environmental sciences published by nonprofit societies, associations, museums, institutions, and presses.

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Cited by 8 publications
(4 citation statements)
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“…Trends were evaluated using predicted relative abundance ( ) and intrinsic rate of change ( ) from Bayesian hierarchical state-space models (SSM; [ 1 , 2 ]), which partition variance components into latent state processes and observation errors [1] . Detection of individuals during wildlife surveys is often considered imperfect (i.e., detection probability is < 1.0; [3] ). However, SSMs can provide unbiased estimates of and an index of when observation error is constant across years [ 1 , 4 ].…”
Section: Investigating Population Patterns – a Before‐after Control‐i...mentioning
confidence: 99%
See 1 more Smart Citation
“…Trends were evaluated using predicted relative abundance ( ) and intrinsic rate of change ( ) from Bayesian hierarchical state-space models (SSM; [ 1 , 2 ]), which partition variance components into latent state processes and observation errors [1] . Detection of individuals during wildlife surveys is often considered imperfect (i.e., detection probability is < 1.0; [3] ). However, SSMs can provide unbiased estimates of and an index of when observation error is constant across years [ 1 , 4 ].…”
Section: Investigating Population Patterns – a Before‐after Control‐i...mentioning
confidence: 99%
“…& 1.2.). SSM assumptions of interannual constancy for observation errors was verified prior to modeling [3] . Lek count data used to estimate lek absence rates were subset to exclude all but the final two years of before (2011–2012) and after (2017–2018) periods.…”
Section: Example Using Real Datamentioning
confidence: 99%
“…Because translocation dates were predicated on source population dynamics and source population lek attendance varied across years, the date of annual lek counts varied between 30 March and 8 April 2013-2017. Lek observations are imperfect and can be confounded by observer sightability (Coates et al 2019) and attendance rates of males (Wann et al 2019). Therefore, we counted leks multiple times each year and recognized the largest value as a population size index rather than a true abundance.…”
Section: Capture Translocation and Post-release Monitoringmentioning
confidence: 99%
“…Lek survey protocols were standardized to help reduce bias, to maximize efficiency, and to allow meaningful comparisons of sage‐grouse population trends across time and space (Connelly et al 2004). Despite standardization, lek survey data are potentially problematic because of unaccounted variation in male detection probabilities (Walsh et al 2004, Fremgen et al 2016, McCaffery et al 2016, Monroe et al 2016, Baumgardt et al 2017, Coates et al 2019) and inter‐lek movements (Blomberg et al 2013, Fremgen et al 2019, Wann et al 2019). 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).…”
mentioning
confidence: 99%