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城市绿地中的蚊子:利用岛屿生物地理学方法来确定物种丰富度和组成的驱动因素。

Mosquitoes in urban green spaces: using an island biogeographic approach to identify drivers of species richness and composition.

机构信息

Department of Epidemiology, School of Public Health, São Paulo University, Avenida Doutor Arnaldo 715, CEP 01246-904, São Paulo, Brazil.

出版信息

Sci Rep. 2017 Dec 19;7(1):17826. doi: 10.1038/s41598-017-18208-x.

Abstract

Mosquitoes are well known for their epidemiological importance as vectors of a wide range of human pathogens. Despite the many studies on medically important species, little is known about the diversity patterns of these insects in urban green spaces, which serve as shelter and refuge for many native and invasive species. Here, we investigate drivers of mosquito richness and composition in nine urban parks in the city of São Paulo, Brazil. Using the equilibrium theory of island biogeography, we tested predictive models for species richness and composition and performed nestedness analysis. We also investigated whether species loss tends to benefit vector mosquitoes. In the period 2011 to 2013, a total of 37,972 mosquitoes belonging to 73 species and 14 genera were collected. Our results suggest there is a species-area relationship, an increase in species similarity as richness is lost and a nested species composition pattern. Seven of the eight most commonly found species are considered vectors of human pathogens, suggesting a possible link between species loss and increased risk of pathogen transmission. Our data highlight the need for studies that seek to understand how species loss may affect the risk of infectious diseases in urban areas.

摘要

蚊子作为多种人类病原体的传播媒介,其在流行病学上的重要性是众所周知的。尽管有许多关于医学上重要物种的研究,但对于这些在城市绿地中作为许多本地和入侵物种的庇护所和避难所的昆虫的多样性模式知之甚少。在这里,我们调查了巴西圣保罗市 9 个城市公园中蚊子丰富度和组成的驱动因素。我们使用岛屿生物地理学的平衡理论,测试了物种丰富度和组成的预测模型,并进行了嵌套分析。我们还调查了物种损失是否会有利于媒介蚊子。在 2011 年至 2013 年期间,共收集了属于 73 种和 14 属的 37972 只蚊子。我们的结果表明存在一种物种-面积关系,随着物种丰富度的丧失,物种相似性增加,物种组成模式嵌套。在最常发现的 8 种物种中有 7 种被认为是人类病原体的媒介,这表明物种损失与病原体传播风险增加之间可能存在联系。我们的数据强调了需要进行研究,以了解物种损失如何可能影响城市地区传染病的风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4d5/5736758/ec599521b01f/41598_2017_18208_Fig1_HTML.jpg

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