2019
DOI: 10.1016/j.gecco.2019.e00687
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Using N-mixture models to estimate abundance and temporal trends of black rhinoceros (Diceros bicornis L.) populations from aerial counts

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Cited by 22 publications
(17 citation statements)
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“…The DM model relaxes the closure assumption of Royle [ 39 ] and includes explicit parameters (γ = “recruitment”, ω = “survival”) that collectively describe changes in a population over time [ 38 ]. Open N-mixture models are often used to estimate local abundances and rates of population change of unmarked animals (e.g., [ 40 , 41 ]), but have not been previously used to estimate nest density. We review the assumptions and suitability of open N-mixture models relative to the estimation of nest density in S1 Appendix in the supplemental materials.…”
Section: Methodsmentioning
confidence: 99%
“…The DM model relaxes the closure assumption of Royle [ 39 ] and includes explicit parameters (γ = “recruitment”, ω = “survival”) that collectively describe changes in a population over time [ 38 ]. Open N-mixture models are often used to estimate local abundances and rates of population change of unmarked animals (e.g., [ 40 , 41 ]), but have not been previously used to estimate nest density. We review the assumptions and suitability of open N-mixture models relative to the estimation of nest density in S1 Appendix in the supplemental materials.…”
Section: Methodsmentioning
confidence: 99%
“…This essentially means that, in circumstances where pupfish cannot be captured or marked, N ‐mixture models fitted to VC data represent an alternative for developing abundance indices that could benefit conservation actions. From this perspective, this research provides insight into the trade‐offs between traditional handling and marking of individuals and less invasive census protocols (Ficetola et al, 2018; Griffiths, Fister, Wilkinson, & Sewell, 2015; Kidwai, Jimenez, Louw, Nel, & Marshal, 2019) aimed at addressing the challenge of establishing quantitative measures of response to habitat improvement (Hermoso et al, 2016; Nel et al, 2009).…”
Section: Discussionmentioning
confidence: 99%
“…Greater differences emerged when N-mixture models were applied to these same sampling methods, although a consistent pattern of greater CSP abundance in restored ciénegas was apparent.This essentially means that, in circumstances where pupfish cannot be captured or marked, N-mixture models fitted to VC data represent an alternative for developing abundance indices that could benefit conservation actions. From this perspective, this research provides insight into the trade-offs between traditional handling and marking of individuals and less invasive census protocols(Ficetola et al, 2018;Griffiths, Fister, Wilkinson, & Sewell, 2015;Kidwai, Jimenez, Louw, Nel, & Marshal, 2019) aimed at addressing the challenge of establishing quantitative measures of response to habitat improvement (Hermoso et al, 2016; Nel et al, 2009).F I G U R E 3 Density estimates and 95% confidence intervals for Comanche Springs pupfish for principal habitats in the San Solomon Spring System based on (a) mark-recapture methods and (b) Nmixture modelling. VC: visual count; MT: minnow trap.…”
mentioning
confidence: 99%
“…We organized the model selection procedure in five steps, each encompassing a multi-model comparison based on the AIC criterion (e.g. Kidwai et al 2019). In each step, the parameters' value corresponding to the model with the lowest AIC was selected and it was fixed for the following comparisons.…”
Section: Model Selection and Estimation Of Population Sizementioning
confidence: 99%