Poulin R, Morand S
Department of Zoology, University of Otago, Dunedin, New Zealand.
Parasitology. 1999 Oct;119 ( Pt 4):369-74. doi: 10.1017/s0031182099004795.
The geographical distance between conspecific host populations is no doubt a key determinant of the likelihood that exchanges of parasite species occur between these populations. This variable must therefore be taken into account in studies that compare parasite species richness or similarity among host populations. This paper presents a multivariate approach, based on the permutation of matrices, that allows all pairwise geographical distances between host populations to be included as independent variables. The method is illustrated with 3 separate data sets on parasite communities of conspecific fish from different lakes. In 2 of 3 cases, geographical distances among lakes had a significant influence on the similarity of their parasite communities. The effect of geographical distance on species richness of parasite communities also proved important in 2 of the 3 case studies. These examples demonstrate the pervasive influence of distances among host populations on their parasite communities, and the need to properly control for them in statistical analyses.
同物种宿主种群之间的地理距离无疑是这些种群之间发生寄生虫物种交换可能性的关键决定因素。因此,在比较宿主种群之间寄生虫物种丰富度或相似性的研究中,必须考虑这一变量。本文提出了一种基于矩阵排列的多变量方法,该方法允许将宿主种群之间的所有成对地理距离作为自变量纳入。该方法通过3个关于来自不同湖泊的同物种鱼类寄生虫群落的独立数据集进行了说明。在3个案例中的2个案例中,湖泊之间的地理距离对其寄生虫群落的相似性有显著影响。在3个案例研究中的2个案例中,地理距离对寄生虫群落物种丰富度的影响也被证明是重要的。这些例子表明宿主种群之间的距离对其寄生虫群落具有普遍影响,以及在统计分析中对其进行适当控制的必要性。