在摄像机陷距离采样调查中估计有效调查持续时间
Hjalmar S Kühl1,2,3, Stephen T Buckland4, Maik Henrich5,6
1Senckenberg Museum for Natural History Görlitz Senckenberg - Member of the Leibniz Association Görlitz Germany.
Ecology and evolution
|October 16, 2023
概括
摄像机陷距离采样 (CTDS) 被扩展,以考虑到静止图像捕获的延迟,这对于准确的动物丰度估计至关重要. 忽视这些延迟可能会导致严重低估人口密度.
科学领域:
- 野生动物生态学野生动物生态学
- 人口估计 人口估计.
- 摄像机陷方法的方法
背景情况:
- 摄像机陷距离采样 (CTDS) 是一种用于估计未标记种群中的动物丰度的方法.
- CTDS最初是为视频设计的,测量距离在"快照时刻".
- 静态图像摄像头陷有延迟 (恢复和重新触发),这会影响时间调查工作量计算.
研究的目的:
- 扩展CTDS模型用于使用被动红外运动传感器的静态图像摄像头陷.
- 将摄像头恢复时间和重新触发延迟纳入丰富度估计.
- 为了防止由于时间调查工作的不准确而导致的下行偏差的丰度估计.
主要方法:
- 扩展了CTDS模型,以容纳来自被动红外运动传感器的单个图像或短照片系列.
- 建议使用连续图片间隔的马函数和指数函数估计"触发器之间的平均时间间隔".
- 应用该方法对红鹿,鹿和野猪的调查数据.
主要成果:
- 触发器之间的经验估计和模型衍生的平均时间间隔相似.
- 重启延迟之间的估计平均时间间隔从8.28到15.05秒不等,取决于截断时间和物种.
- 如果不考虑这些间隔,可能会导致密度低估高达96%,因为过高估计的时间调查力度.
结论:
- 拟议的CTDS扩展适用于使用静止图像的摄像头陷调查的任何种群.
- 这种方法解决了由于能量和内存消耗较低而对静态图像相比视频的普遍偏好.
- 该方法预计将在摄像头陷研究中得到广泛的应用,包括超越CTDS的方法.
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