J Am Mosq Control Assoc. 2023 Sep 1;39(3):168-172. doi: 10.2987/23-7130.
The Anastasia Mosquito Control District, which manages mosquitoes in St. Johns County in northeastern Florida, has observed that the maximum numbers of the salt marsh mosquitoes, Aedes taeniorhynchus and Ae. sollicitan appeared to shift or change relative to each other, as evidenced by the Centers for Disease Control and Prevention (CDC) light trap data in the past 17 years. The aim of this study was to analyze environmental data to identify and explore these changes. Data from CDC light traps, temperature, rainfall, and tidal levels were analyzed using ANOVA. Analyses showed the 2 species had maximum abundance at different temperatures, which translated into seasonal differences with peaks of Ae. taeniorhynchus in the summer and, to a lesser extent, later in the year, and Ae. sollicitans with a peak in the autumn. This seasonal pattern was reflected in rainfall (more rain in autumn than in summer) and also, in the general area, in tidal levels (mean highest tide levels at the recording station were in autumn). The research demonstrated that simplifying the mosquito data, initially using only very high trap numbers (Mean ± 2 SD) that are important for control, identified, and made the seasonal pattern very obvious. The pattern was also observed using all the data but, although significant, was not as clear. Having identified tide as a potential driving variable, further research needs to detail spatial tidal patterns to identify areas and timing of flooding and explore the relationship between salinity and mosquito species and abundance. This is important as sea levels rise and climate changes, both potentially changing the mosquito situation and affecting control actions.
美国佛罗里达州东北部圣约翰斯县蚊虫管理机构 Anastasia 蚊虫控制区注意到,盐沼伊蚊(Aedes taeniorhynchus)和白纹伊蚊(Ae. sollicitan)的数量最大值似乎相互转移或发生变化,美国疾病控制与预防中心(CDC)过去 17 年的诱蚊灯数据证明了这一点。本研究旨在分析环境数据,以识别和探索这些变化。使用方差分析(ANOVA)对来自 CDC 诱蚊灯、温度、降雨量和潮汐水平的数据进行了分析。分析表明,这 2 个物种在不同温度下的丰度最高,这转化为季节性差异,Ae. taeniorhynchus 在夏季达到高峰,在一年中的稍后时间达到次高峰,而 Ae. sollicitans 在秋季达到高峰。这种季节性模式反映在降雨量上(秋季降雨量比夏季多),也反映在整个地区的潮汐水平上(记录站的平均最高潮汐水平在秋季)。研究表明,简化蚊虫数据,最初仅使用对控制非常重要的非常高的诱蚊灯数量(Mean ± 2 SD),可以识别并使季节性模式非常明显。使用所有数据也可以观察到这种模式,但尽管具有统计学意义,但并不明显。由于已经确定潮汐是一个潜在的驱动变量,因此需要进一步研究详细的空间潮汐模式,以确定洪水的区域和时间,并探索盐度与蚊子种类和数量之间的关系。随着海平面上升和气候变化,这一点很重要,因为这两者都可能改变蚊虫状况并影响控制措施。