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231225s2019 xx |||||o 00| ||eng c |
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|a 10.1111/cobi.13261
|2 doi
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|a pubmed24n0974.xml
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|a (DE-627)NLM292443617
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|a (NLM)30615823
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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| 100 |
1 |
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|a Ryan, Gerard Edward
|e verfasserin
|4 aut
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| 245 |
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|a Simultaneous-count models to estimate abundance from counts of unmarked individuals with imperfect detection
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|c 2019
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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| 338 |
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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|a Date Completed 11.12.2019
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|a Date Revised 17.12.2019
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a © 2019 Society for Conservation Biology.
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|a We developed a method to estimate population abundance from simultaneous counts of unmarked individuals over multiple sites. We considered that at each sampling occasion, individuals in a population could be detected at 1 of the survey sites or remain undetected and used either multinomial or binomial simultaneous-count models to estimate abundance, the latter being equivalent to an N-mixture model with one site. We tested model performance with simulations over a range of detection probabilities, population sizes, growth rates, number of years, sampling occasions, and sites. We then applied our method to 3 critically endangered vulture species in Cambodia to demonstrate the real-world applicability of the model and to provide the first abundance estimates for these species in Cambodia. Our new approach works best when existing methods are expected to perform poorly (i.e., few sites and large variation in abundance among sites) and if individuals may move among sites between sampling occasions. The approach performed better when there were >8 sampling occasions and net probability of detection was high (>0.5). We believe our approach will be useful in particular for simultaneous surveys at aggregation sites, such as roosts. The method complements existing approaches for estimating abundance of unmarked individuals and is the first method designed specifically for simultaneous counts
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| 650 |
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4 |
|a Journal Article
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| 650 |
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4 |
|a Research Support, Non-U.S. Gov't
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| 650 |
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4 |
|a Bayesian
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| 650 |
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4 |
|a Gyps
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| 650 |
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4 |
|a N-mixture model
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| 650 |
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|a N混合模型
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| 650 |
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4 |
|a Sarcogyps
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| 650 |
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4 |
|a bayesiano
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| 650 |
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4 |
|a buitre
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| 650 |
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4 |
|a detectability
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| 650 |
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4 |
|a detectable
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| 650 |
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4 |
|a dinámica de poblaciones
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| 650 |
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4 |
|a dynamics
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| 650 |
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|a hierarchical model
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| 650 |
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4 |
|a modelo de mezcla N
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| 650 |
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4 |
|a modelo jerárquico
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| 650 |
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4 |
|a monitoreo
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| 650 |
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4 |
|a monitoring
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| 650 |
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4 |
|a population
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| 650 |
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4 |
|a vulture
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| 650 |
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4 |
|a 兀鹫属 (Gyps)
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| 650 |
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4 |
|a 层级模型
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| 650 |
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4 |
|a 检测力
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| 650 |
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4 |
|a 监测
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| 650 |
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4 |
|a 秃鹫
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| 650 |
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4 |
|a 种群动态
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| 650 |
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4 |
|a 贝叶斯
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| 650 |
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4 |
|a 黑兀鹫属 (Sarcogyps)
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| 700 |
1 |
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|a Nicholson, Emily
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Eames, Jonathan C
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Gray, Thomas N E
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Loveridge, Robin
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Mahood, Simon P
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Sum, Phearun
|e verfasserin
|4 aut
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| 700 |
1 |
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|a McCarthy, Michael A
|e verfasserin
|4 aut
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| 773 |
0 |
8 |
|i Enthalten in
|t Conservation biology : the journal of the Society for Conservation Biology
|d 1999
|g 33(2019), 3 vom: 18. Juni, Seite 697-708
|w (DE-627)NLM098176803
|x 1523-1739
|7 nnns
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| 773 |
1 |
8 |
|g volume:33
|g year:2019
|g number:3
|g day:18
|g month:06
|g pages:697-708
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| 856 |
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|u http://dx.doi.org/10.1111/cobi.13261
|3 Volltext
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|d 33
|j 2019
|e 3
|b 18
|c 06
|h 697-708
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