Amblyomma americanum (L.), the lone star tick, is a vector of pathogens in humans and other animals throughout the United States. Our objective was to characterize how environmental factors influence patterns of A. americanum activity throughout its life cycle by creating statistical models that describe the number of active off‐host larvae, nymphs, and adults in northeast Missouri from 2007 to 2013. Ticks were collected every other week from a permanent sampling grid in a second‐growth forest and in an old field habitat. Each of the three life stage models considered six meteorological variables and one biotic variable. Regression modeling was used to make candidate models which were evaluated with eight selection criteria. Best‐selected models were useful in describing seasonality and magnitude of A. americanum activity for larvae, nymphs, and adults. While distinct subsets of environmental variables were optimal in each life stage, all three models incorporated cumulative degree days, habitat, and number of ticks in the previous life stage. These models further elucidate how environmental and demographic factors influence patterns of host‐seeking activity throughout the A. americanum life cycle, providing insight into how changing climate may impact risk of tick‐borne pathogen transmission.

中文翻译：

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长达七年的生态建模，描述了密苏里州东北部每个生命阶段寻求寄主的美洲盲mb数量。

美洲星空mb（L。）是唯一的星tick，是美国整个人类和其他动物中病原体的载体。我们的目的是表征环境因素如何影响美洲念珠菌的模式通过创建统计模型来描述整个密苏里州东北部从2007年到2013年活跃的离岸幼虫，若虫和成虫的数量，在整个生命周期中进行活动。每隔一周从第二次生长的森林中的永久性采样网格中收集Ti虫。在一个古老的田野栖息地。三个生命阶段模型中的每一个都考虑了六个气象变量和一个生物变量。使用回归建模来创建候选模型，并用八个选择标准对其进行评估。最佳选择的模型有助于描述美洲曲霉的季节性和大小幼虫，若虫和成虫的活动。虽然在每个生命阶段中，环境变量的不同子集都是最佳的，但所有这三个模型都包含了前一个生命阶段中的累积度日，生境和habitat的数量。这些模型进一步阐明了环境和人口因素如何影响整个美洲曲霉生命周期的寄主寻求活动的模式，从而洞悉气候变化如何影响how传播病原体传播的风险。