Population density estimated from locations of individuals on a passive detector array
Population density estimated from locations of individuals on a passive detector array
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DOI：
10.1890/08-1735.1
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发表时间：
2009-10-01
期刊：
影响因子：
4.8
通讯作者：
Borchers, David L.
中科院分区：
文献类型：
--
作者：
Efford, Murray G.;Dawson, Deanna K.;Borchers, David L.
一个封闭的人口的动物占据稳定的家庭范围的密度可以估计从检测器阵列上的个人，使用新开发的空间明确的捕获-再捕获的方法。基于可能性的方法提供了对来自多捕获陷阱或来自记录存在而不限制动物运动的设备（“接近”探测器，如相机陷阱和毛发障碍）的数据的估计。如最初提出的，这些方法需要多个采样间隔。我们表明，同样精确和无偏的估计，可以从一个单一的采样间隔，只使用检测的空间模式。这大大扩展了可能的应用范围，我们通过模拟检测麦克风阵列上的鸟类发声来估计密度，从而说明了这种潜力。声学检测可以被定义为当接收到的信号强度超过阈值时发生。我们建议检测模型的二进制声学数据，并为连续数据，包括测量的所有信号以上的阈值。虽然二进制数据通常足以进行密度估计，但当麦克风阵列较小时，建模信号强度可以提高精度。
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.