Little E, Biehler D, Leisnham P T, Jordan R, Wilson S, LaDeau S L
Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY.
Department of Geography and Environmental Systems, University of Maryland, Baltimore County, Baltimore, MD.
J Med Entomol. 2017 Sep 1;54(5):1183-1192. doi: 10.1093/jme/tjx103.
Social, ecological, and climatic factors interact creating a heterogeneous matrix that determines the spatiotemporal distribution of mosquitoes and human risks of exposure to the diseases they transmit. We explore linkages between the social and institutional processes behind residential abandonment, urban ecology, and the interactions of socio-ecological processes with abiotic drivers of mosquito production. Specifically, we test the relative roles of infrastructure degradation and vegetation for explaining the presence of Aedes albopictus Skuse 1894 to better predict spatial heterogeneity in mosquito exposure risk within urban environments. We further examine how precipitation interacts with these socially underpinned biophysical variables. We use a hierarchical statistical modeling approach to assess how environmental and climatic conditions over 3 years influence mosquito ecology across a socioeconomic gradient in Baltimore, MD. We show that decaying infrastructure and vegetation are important determinants of Ae. albopictus infestation. We demonstrate that both precipitation and vegetation influence mosquito production in ways that are mediated by the level of infrastructural decay on a given block. Mosquitoes were more common on blocks with greater abandonment, but when precipitation was low, mosquitoes were more likely to be found in higher-income neighborhoods with managed container habitat. Likewise, although increased vegetation was a negative predictor of mosquito infestation, more vegetation on blocks with high abandonment was associated with the largest mosquito populations. These findings indicate that fine spatial scale modeling of mosquito habitat within urban areas is needed to more accurately target vector control.
社会、生态和气候因素相互作用,形成了一个异质性矩阵,该矩阵决定了蚊子的时空分布以及人类接触它们所传播疾病的风险。我们探讨了住宅废弃背后的社会和制度过程、城市生态以及社会生态过程与蚊子滋生的非生物驱动因素之间的联系。具体而言,我们测试了基础设施退化和植被在解释白纹伊蚊(Aedes albopictus Skuse 1894)存在方面的相对作用,以便更好地预测城市环境中蚊子接触风险的空间异质性。我们进一步研究降水如何与这些社会支撑的生物物理变量相互作用。我们使用分层统计建模方法来评估3年期间的环境和气候条件如何影响马里兰州巴尔的摩市社会经济梯度上的蚊子生态。我们表明,基础设施衰败和植被是白纹伊蚊滋生的重要决定因素。我们证明,降水和植被都以给定街区基础设施衰败程度为中介的方式影响蚊子滋生。在废弃程度较高的街区蚊子更为常见,但当降水量较低时,蚊子更可能出现在有管理的容器栖息地的高收入社区。同样,尽管植被增加是蚊子滋生的负向预测因子,但废弃程度高的街区植被较多与最大的蚊子种群相关。这些发现表明,需要对城市地区蚊子栖息地进行精细的空间尺度建模,以便更准确地确定病媒控制目标。