Estimating animal density using camera traps without the need for individual recognition
Estimating animal density using camera traps without the need for individual recognition
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DOI：
10.1111/j.1365-2664.2008.01473.x
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发表时间：
2008-08-01
影响因子：
5.7
通讯作者：
Carbone, Chris
中科院分区：
文献类型：
--
作者：
Rowcliffe, J. Marcus;Field, Juliet;Carbone, Chris
1.密度估计在野生动物管理中具有重要意义。到目前为止，使用相机陷阱估计动物密度仅限于对具有单独可识别标记的物种进行捕获-重新捕获分析。这项研究开发了一种方法，通过模拟动物与摄像机之间的潜在接触过程，消除了个体识别动物的要求。该模型提供了一个诱捕率与密度线性关系的因子，取决于两个关键的生物变量(平均动物群体大小和日间范围)和相机传感器的两个特性(探测动物的距离和角度)。我们在一个封闭的动物公园里测试了这种方法，已知有四种物种的数量，在四分之三的情况下获得了准确的估计。第四个物种的不准确是因为摄像机的放置对该物种的分布有偏见。合成与应用。由于摄像机位置的无偏和模型参数的准确测量，这种方法有可能降低估计野生动物密度的劳动力成本，并可能使以前没有的估计成为可能。我们提供了获得合理准确估计所需的诱捕努力的指导方针。
1. Density estimation is of fundamental importance in wildlife management. The use of camera traps to estimate animal density has so far been restricted to capture-recapture analysis of species with individually identifiable markings. This study developed a method that eliminates the requirement for individual recognition of animals by modelling the underlying process of contact between animals and cameras.2. The model provides a factor that linearly scales trapping rate with density, depending on two key biological variables (average animal group size and day range) and two characteristics of the camera sensor (distance and angle within which it detects animals).3. We tested the approach in an enclosed animal park with known abundances of four species, obtaining accurate estimates in three out of four cases. Inaccuracy in the fourth species was because of biased placement of cameras with respect to the distribution of this species.4. Synthesis and applications. Subject to unbiased camera placement and accurate measurement of model parameters, this method opens the possibility of reduced labour costs for estimating wildlife density and may make estimation possible where it has not been previously. We provide guidelines on the trapping effort required to obtain reasonably precise estimates.