Population Density Estimated from Locations of Individuals on a Passive Detector Array

Population Density Estimated from Locations of Individuals on a Passive Detector Array

The density of a closed population of animals occupying stable home ranges may be estimated from detections of individuals on an array of detectors, using newly developed methods for spatially explicit capture-recapture. Likelihood-based methods provide estimates for data from multi-catch traps or f...

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Veröffentlicht in:Ecology. - Duke University Press. - 90(2009), 10, Seite 2676-2682
1. Verfasser: Efford, Murray G. (VerfasserIn)
Weitere Verfasser: Dawson, Deanna K., Borchers, David L.
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2009
Zugriff auf das übergeordnete Werk:Ecology
Schlagworte:acoustic census methods area search camera trap fecal DNA maximum likelihood microphone array passive detector array population density proximity detector signal strength mehr... spatially explicit capture-recapture Physical sciences Applied sciences Social sciences Mathematics Arts Biological sciences
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520 |a The density of a closed population of animals occupying stable home ranges may be estimated from detections of individuals on an array of detectors, using newly developed methods for spatially explicit capture-recapture. Likelihood-based methods provide estimates for data from multi-catch traps or from devices that record presence without restricting animal movement ("proximity" detectors such as camera traps and hair snags). As originally proposed, these methods require multiple sampling intervals. We show that equally precise and unbiased estimates may be obtained from a single sampling interval, using only the spatial pattern of detections. This considerably extends the range of possible applications, and we illustrate the potential by estimating density from simulated detections of bird vocalizations on a microphone array. Acoustic detection can be defined as occurring when received signal strength exceeds a threshold. We suggest detection models for binary acoustic data, and for continuous data comprising measurements of all signals above the threshold. While binary data are often sufficient for density estimation, modeling signal strength improves precision when the microphone array is small. 
540 |a Copyright 2009 The Ecological Society of America 
650 4 |a acoustic census methods 
650 4 |a area search 
650 4 |a camera trap 
650 4 |a fecal DNA 
650 4 |a maximum likelihood 
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650 4 |a population density 
650 4 |a proximity detector 
650 4 |a signal strength 
650 4 |a spatially explicit capture-recapture 
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650 4 |a Physical sciences  |x Physics  |x Acoustics  |x Bioacoustics  |x Animal sounds  |x Animal vocalization  |x Bird songs 
650 4 |a Social sciences  |x Population studies  |x Population characteristics  |x Population density 
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700 1 |a Dawson, Deanna K.  |e verfasserin  |4 aut 
700 1 |a Borchers, David L.  |e verfasserin  |4 aut 
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