美国印第安纳州布卢明顿市常见蚊种(双翅目:库蚊科)成虫丰度变化的密度依赖性及不同尺度

IF 1.7 Q3 PARASITOLOGY
Aidan Patrick Simons , Amanda Lenfestey , Luis Fernando Chaves
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引用次数: 0

摘要

了解驱动蚊子数量变化的因素是量化它们作为病原体载体构成的风险的关键。为了研究天气变化和密度依赖调节对蚊子种类丰度的影响,我们利用美国印第安纳州布卢明顿地区常见的日本伊蚊(Theobald)、三体伊蚊(Say)、刺面伊蚊(Meigen)、点状按蚊(Say)、微扰Coquillettidia (Walker)和淡纹库蚊(Culex pipiens L.)的季节长周时间序列。我们使用强迫Ricker模型来估计人口增长和密度依赖参数,以及天气变量的强迫。我们发现,影响这些物种种群动态的天气因素是不同的。我们求出了Cx。结果表明,天气变化与伊蚊种群动态无关。多糖类化合物,Ae。三角肌和Cq。扰动是由相对湿度,Ae。以降雨的标准差为单位;点蝶属受温度峰度影响。这些结果说明了蚊子对不断变化的天气模式做出反应的方式的多样性,并强调了通过将实地研究与数学建模相结合来更细致地了解蚊子如何对气候变化做出反应的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Density-dependence and different dimensions of changing weather shape adult abundance patterns of common mosquito species (Diptera: Culicidae) in Bloomington, Indiana, USA

Density-dependence and different dimensions of changing weather shape adult abundance patterns of common mosquito species (Diptera: Culicidae) in Bloomington, Indiana, USA
Understanding the factors driving changes in mosquito abundance are key to quantify the risk they pose as vectors of pathogens. Here, to study the impacts of weather changes and density-dependent regulation on mosquito species abundance, we used season long weekly time series of Aedes japonicus (Theobald), Aedes triseriatus (Say), Aedes vexans (Meigen), Anopheles punctipennis (Say), Coquillettidia perturbans (Walker), and Culex pipiens L., common mosquito species in the Bloomington, IN, USA, area. We use the forced Ricker model to estimate population growth and density-dependence parameters, as well as the forcing by weather variables. We found that weather factors important for the population dynamics of these species were different. We found that Cx. pipiens population dynamics was not associated with any weather variables, while Ae. japonicus, Ae. triseriatus and Cq. perturbans were forced by relative humidity, Ae. vexans by SD of rainfall, and An. punctipennis by the kurtosis of temperature. These results illustrate the diversity of ways in which mosquitoes can respond to changing weather patterns and highlight the need for a more nuanced understanding of how mosquitoes respond to climate change by coupling field studies with mathematical modeling.
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