Research Centre, Agriculture and Agri-Food Canada, Lethbridge Research Centre, P.O. Box 3000, Lethbridge, AB, Canada T1J 4B1.
J Med Entomol. 2012 Mar;49(2):253-61. doi: 10.1603/me11160.
A fixed precision sampling plan was developed for off-host populations of adult Rocky Mountain wood tick, Dermacentor andersoni (Stiles) based on data collected by dragging at 13 locations in Alberta, Canada; Washington; and Oregon. In total, 222 site-date combinations were sampled. Each site-date combination was considered a sample, and each sample ranged in size from 86 to 250 10 m2 quadrats. Analysis of simulated quadrats ranging in size from 10 to 50 m2 indicated that the most precise sample unit was the 10 m2 quadrat. Samples taken when abundance < 0.04 ticks per 10 m2 were more likely to not depart significantly from statistical randomness than samples taken when abundance was greater. Data were grouped into ten abundance classes and assessed for fit to the Poisson and negative binomial distributions. The Poisson distribution fit only data in abundance classes < 0.02 ticks per 10 m2, while the negative binomial distribution fit data from all abundance classes. A negative binomial distribution with common k = 0.3742 fit data in eight of the 10 abundance classes. Both the Taylor and Iwao mean-variance relationships were fit and used to predict sample sizes for a fixed level of precision. Sample sizes predicted using the Taylor model tended to underestimate actual sample sizes, while sample sizes estimated using the Iwao model tended to overestimate actual sample sizes. Using a negative binomial with common k provided estimates of required sample sizes closest to empirically calculated sample sizes.
基于在加拿大艾伯塔省、华盛顿州和俄勒冈州的 13 个地点用拖拽法采集的数据,制定了针对落地产卵的成年落矶山木蜱(Dermacentor andersoni (Stiles))的固定精度抽样方案。总共采集了 222 个地点-日期组合。每个地点-日期组合被视为一个样本,每个样本的大小范围从 86 到 250 个 10 m2 样方。分析大小从 10 到 50 m2 的模拟样方表明,最精确的样本单位是 10 m2 样方。当丰度<0.04 只蜱/10 m2 时采集的样本比丰度较大时采集的样本更有可能不显著偏离统计随机性。数据分为十个丰度类,并评估其对泊松分布和负二项分布的拟合情况。泊松分布仅适用于丰度<0.02 只蜱/10 m2 的数据类,而负二项分布适用于所有丰度类的数据。在十个丰度类中的八个类中,具有共同 k = 0.3742 的负二项式拟合数据。泰勒和岩尾均值方差关系都进行了拟合,并用于预测固定精度水平下的样本量。使用泰勒模型预测的样本量往往低估了实际样本量,而使用岩尾模型估计的样本量往往高估了实际样本量。使用具有共同 k 的负二项式提供了最接近经验计算样本量的所需样本量估计。