Murdock Courtney C, Evans Michelle V, McClanahan Taylor D, Miazgowicz Kerri L, Tesla Blanka
Department of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, Georgia, United States of America.
Odum School of Ecology, University of Georgia, Athens, Georgia, United States of America.
PLoS Negl Trop Dis. 2017 May 30;11(5):e0005640. doi: 10.1371/journal.pntd.0005640. eCollection 2017 May.
Most statistical and mechanistic models used to predict mosquito-borne disease transmission incorporate climate drivers of disease transmission by utilizing environmental data collected at geographic scales that are potentially coarser than what mosquito populations may actually experience. Temperature and relative humidity can vary greatly between indoor and outdoor environments, and can be influenced strongly by variation in landscape features. In the Aedes albopictus system, we conducted a proof-of-concept study in the vicinity of the University of Georgia to explore the effects of fine-scale microclimate variation on mosquito life history and vectorial capacity (VC). We placed Ae. albopictus larvae in artificial pots distributed across three replicate sites within three different land uses-urban, suburban, and rural, which were characterized by high, intermediate, and low proportions of impervious surfaces. Data loggers were placed into each larval environment and in nearby vegetation to record daily variation in water and ambient temperature and relative humidity. The number of adults emerging from each pot and their body size and sex were recorded daily. We found mosquito microclimate to significantly vary across the season as well as with land use. Urban sites were in general warmer and less humid than suburban and rural sites, translating into decreased larval survival, smaller body sizes, and lower per capita growth rates of mosquitoes on urban sites. Dengue transmission potential was predicted to be higher in the summer than the fall. Additionally, the effects of land use on dengue transmission potential varied by season. Warm summers resulted in a higher predicted VC on the cooler, rural sites, while warmer, urban sites had a higher predicted VC during the cooler fall season.
大多数用于预测蚊媒疾病传播的统计模型和机制模型,通过利用在地理尺度上收集的环境数据来纳入疾病传播的气候驱动因素,而这些地理尺度可能比蚊子种群实际经历的尺度更粗糙。室内和室外环境的温度和相对湿度可能有很大差异,并且会受到景观特征变化的强烈影响。在白纹伊蚊系统中,我们在佐治亚大学附近进行了一项概念验证研究,以探讨精细尺度的微气候变异对蚊子生活史和传播能力(VC)的影响。我们将白纹伊蚊幼虫放置在分布于城市、郊区和农村三种不同土地利用类型的三个重复地点的人工花盆中,这三种土地利用类型的不透水表面比例分别为高、中、低。数据记录器被放置在每个幼虫环境和附近的植被中,以记录水、环境温度和相对湿度的每日变化。每天记录从每个花盆中羽化出的成虫数量及其体型和性别。我们发现蚊子的微气候在整个季节以及不同土地利用类型之间存在显著差异。城市地区总体上比郊区和农村地区更温暖、湿度更低,这导致城市地区蚊子幼虫的存活率降低、体型变小以及人均增长率降低。预计登革热传播潜力在夏季高于秋季。此外,土地利用对登革热传播潜力的影响因季节而异。温暖的夏季导致较凉爽的农村地区预测的传播能力较高,而较温暖的城市地区在较凉爽的秋季预测的传播能力较高。