Data associated with: Socio-Ecological Mechanisms Supporting High Densities of Aedes albopictus (Diptera: Culicidae) in Baltimore, MD

This is the data file associated with,E.
Little, D. Biehler, P. T. Leisnham, R. Jordan, S. Wilson, S. L. LaDeau,
Socio-Ecological Mechanisms Supporting High Densities of Aedes albopictus
(Diptera: Culicidae) in Baltimore, MD, Journal of Medical Entomology, Volume
54, Issue 5, September 2017, Pages 1183–1192.AbstractSocial, 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.DatasetData_Little_2018.xlsx workbook contains the following sheets,1. ReadMe: project documentation and contact information2. Data3. Metadata: definitions for columns contained in data worksheet

4. Block locations: provides latitude/longitude for
north-western most corner of each block cluster

本数据文件与E. Little, D. Biehler, P. T. Leisnham, R. Jordan, S. Wilson, S. L. LaDeau共同发表的《马里兰州巴尔的摩市支持白纹伊蚊（双翅目：蚊科）高密度分布的社会-生态机制》一文相关联，该文发表于《医学昆虫学杂志》2017年第54卷第5期，9月，第1183–1192页。摘要：社会、生态和气候因素相互作用，形成异质矩阵，决定了蚊子的时空分布以及人类暴露于其传播的疾病的风险。本研究探讨了居住废弃背后的社会和制度过程、城市生态以及社会-生态过程与蚊虫生产非生物驱动因素的相互作用。具体而言，我们测试了基础设施退化与植被在解释白纹伊蚊Skuse 1894存在中的作用，以更好地预测城市环境中的蚊子暴露风险的时空异质性。我们进一步考察了降水如何与这些社会支撑的生物物理变量相互作用。我们采用分层统计建模方法，评估了3年间环境与气候条件如何影响巴尔的摩市社会经济梯度上的蚊虫生态。研究结果表明，腐朽的基础设施和植被是白纹伊蚊侵扰的重要决定因素。我们展示了降水和植被如何通过特定地块的基础设施退化程度来影响蚊虫生产。在废弃程度较高的地块上，蚊子更为常见；但在降水量低的情况下，蚊子更可能出现在收入较高的社区中，这些社区有管理的容器栖息地。同样，尽管增加植被是蚊子侵扰的负面预测指标，但在废弃程度高的地块上，植被越多，蚊虫种群规模越大。这些发现表明，城市区域内蚊子栖息地的精细空间尺度建模对于更精确地定位媒介控制是必要的。DatasetData_Little_2018.xlsx工作簿包含以下工作表：1. ReadMe：项目文档和联系方式2. 数据3. 元数据：数据工作表中列的定义4. 块位置：提供每个地块集群西北角的经纬度。