Analysis of aggregation, a worked example: numbers of ticks on red grouse chicks
Analysis of aggregation, a worked example: numbers of ticks on red grouse chicks
复制标题
DOI：
10.1017/s0031182001007740
复制
发表时间：
2001-05-01
期刊：
影响因子：
2.4
通讯作者：
Lambin, X
中科院分区：
文献类型：
--
作者：
Elston, DA;Moss, R;Lambin, X
宿主之间寄生虫的统计聚集通常通过负二项式（泊松伽马）分布凭经验进行描述。或者，可以使用泊松对数正态模型。这样做的优点是它可以拟合为广义线性混合模型，从而根据固定效应和随机效应来量化聚合源。我们给出了一个可行的例子，将红松鸡 Lagopus lagopus scoticus 雏鸡上绵羊蜱虫蓖麻硬蜱分布的聚集分配给时间（年份）、空间（海拔和位置）、巢穴和个体效应。当考虑到空间和时间效应时，随机群体中随机个体的表观聚集下降了 8 倍。
The statistical aggregation of parasites among hosts is often described empirically by the negative binomial (Poisson-gamma) distribution. Alternatively, the Poisson-lognormal model can be used. This has the advantage that it can be fitted as a generalized linear mixed model, thereby quantifying the sources of aggregation in terms of both fixed and random effects. We give a worked example, assigning aggregation in the distribution of sheep ticks Ixodes ricinus on red grouse Lagopus lagopus scoticus chicks to temporal (year), spatial (altitude and location), brood and individual effects. Apparent aggregation among random individuals in random broods fell 8-fold when spatial and temporal effects had been accounted for.