Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, 85721, USA.
Department of Integrative Biology, University of Texas at Austin, Austin, TX, 78712, USA.
Sci Rep. 2024 Jan 24;14(1):2058. doi: 10.1038/s41598-023-50346-3.
Understanding drivers of disease vectors' population dynamics is a pressing challenge. For short-lived organisms like mosquitoes, landscape-scale models must account for their highly local and rapid life cycles. Aedes aegypti, a vector of multiple emerging diseases, has become abundant in desert population centers where water from precipitation could be a limiting factor. To explain this apparent paradox, we examined Ae. aegypti abundances at > 660 trapping locations per year for 3 years in the urbanized Maricopa County (metropolitan Phoenix), Arizona, USA. We created daily precipitation layers from weather station data using a kriging algorithm, and connected localized daily precipitation to numbers of mosquitoes trapped at each location on subsequent days. Precipitation events occurring in either of two critical developmental periods for mosquitoes were correlated to suppressed subsequent adult female presence and abundance. LASSO models supported these analyses for female presence but not abundance. Precipitation may explain 72% of Ae. aegypti presence and 90% of abundance, with anthropogenic water sources supporting mosquitoes during long, precipitation-free periods. The method of using kriging and weather station data may be generally applicable to the study of various ecological processes and patterns, and lead to insights into microclimates associated with a variety of organisms' life cycles.
了解病媒种群动态的驱动因素是一个紧迫的挑战。对于像蚊子这样寿命短的生物,景观尺度的模型必须考虑到它们高度本地化和快速的生命周期。埃及伊蚊是多种新发疾病的传播媒介,在沙漠人口中心变得丰富起来,那里的降水可能是一个限制因素。为了解释这一明显的悖论,我们在美国亚利桑那州凤凰城大都市区马里科帕县(城市化)的 660 多个诱捕点,每年进行 3 年的监测。我们使用克里金算法从气象站数据中创建每日降水层,并将局部每日降水与随后每天每个地点捕获的蚊子数量联系起来。与蚊子两个关键发育阶段中的任一个发生的降水事件与随后雌成虫存在和丰度的减少有关。LASSO 模型支持这些关于雌成虫存在而非丰度的分析。降水可能解释了 72%的埃及伊蚊存在和 90%的丰度,人为水源在长时间无降水期间支持蚊子。使用克里金和气象站数据的方法可能普遍适用于各种生态过程和模式的研究,并有助于深入了解与各种生物生命周期相关的小气候。