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天气变化会影响芝加哥郊区雨水篦子中幼虫库蚊(双翅目:蚊科)的数量。

Weather variability affects abundance of larval Culex (Diptera: Culicidae) in storm water catch basins in suburban Chicago.

机构信息

Department of Pathobiology, University of Illinois at Urbana-Champaign, 2001 South Lincoln Avenue, Urbana IL 61802, USA.

出版信息

J Med Entomol. 2012 Mar;49(2):270-6. doi: 10.1603/me11073.

Abstract

Culex pipiens L. (Diptera: Culicidae) and Culex restuans Theobald are the primary enzootic and bridge vectors of West Nile virus in the eastern United States north of 36 degrees latitude. Recent studies of the natural history of these species have implicated catch basins and underground storm drain systems as important larval development sites in urban and suburban locales. Although the presence of larvae in these habitats is well-documented, the influence of abiotic factors on the ecology of Culex larvae developing in them remains poorly understood. Therefore, we examined the effects of multiple abiotic factors and their interactions on abundance of Culex larvae in catch basins in the Chicago, IL, metropolitan area. Low precipitation and high mean daily temperature were associated with high larval abundance, whereas there was no correlation between catch basin depth or water depth and larval abundance. Rainfall was an especially strong predictor of presence or absence of larvae in the summer of 2010, a season with an unusually high precipitation. Regression tree methods were used to build a schematic decision tree model of the interactions among these factors. This practical, visual representation of key predictors of high larval production may be used by local mosquito abatement districts to target limited resources to treat catch basins when they are particularly likely to produce West Nile virus vectors.

摘要

库蚊属(双翅目:蚊科)和库蚊 Restuans 是西尼罗河病毒在美国东北部北纬 36 度以北的主要地方性和桥梁传播媒介。最近对这些物种的自然史研究表明,集水池和地下雨水渠系统是城市和郊区重要的幼虫发育场所。尽管这些栖息地中幼虫的存在已得到充分证实,但影响在这些栖息地中发育的库蚊幼虫生态的非生物因素仍知之甚少。因此,我们研究了多种非生物因素及其相互作用对伊利诺伊州芝加哥大都市区集水池中库蚊幼虫丰度的影响。低降水量和高平均日温与幼虫丰度高有关,而集水池深度或水深与幼虫丰度之间没有相关性。降雨是 2010 年夏季幼虫存在与否的一个特别强的预测因子,该季节的降雨量异常高。回归树方法用于构建这些因素相互作用的示意决策树模型。该模型是一种实用的、直观的表示,可以用来预测幼虫高产量的关键预测因子,当地的蚊虫防治区可以利用该模型在集水池特别有可能产生西尼罗河病毒媒介时,将有限的资源用于处理集水池。

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