Marques T A, Buckland S T, Borchers D L, Tosh D, McDonald R A
Centre for Research into Ecological and Environmental Modelling, The Observatory, University of St Andrews, St Andrews, Scotland.
Biometrics. 2010 Dec;66(4):1247-55. doi: 10.1111/j.1541-0420.2009.01381.x.
Distance sampling is a widely used methodology for assessing animal abundance. A key requirement of distance sampling is that samplers (lines or points) are placed according to a randomized design, which ensures that samplers are positioned independently of animals. Often samplers are placed along linear features such as roads, so that bias is expected if animals are not uniformly distributed with respect to distance from the linear feature. We present an approach for analyzing distance data from a survey when the samplers are points placed along a linear feature. Based on results from a simulation study and from a survey of Irish hares in Northern Ireland conducted from roads, we conclude that large bias may result if the position of samplers is not randomized, and analysis methods fail to account for nonuniformity.
距离抽样是一种广泛用于评估动物数量的方法。距离抽样的一个关键要求是,采样器(线或点)要根据随机设计放置,这可确保采样器的位置与动物无关。采样器通常沿着道路等线性特征放置,因此,如果动物相对于与线性特征的距离分布不均匀,就会产生偏差。我们提出了一种方法,用于分析当采样器是沿着线性特征放置的点时,来自一项调查的距离数据。基于一项模拟研究的结果以及在北爱尔兰从道路上对爱尔兰野兔进行的一项调查的结果,我们得出结论,如果采样器的位置未随机化,且分析方法未考虑不均匀性,可能会导致很大的偏差。