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. 2019 Oct 8;9:14441. doi: 10.1038/s41598-019-51073-4

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© The Author(s) 2019

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Distribution of the sites based on the different data sets (bacterial community structure, PM10 chemistry, landscapes, relative contributions of the different landscapes in the aerial emission of bacterial cells). (a) Hierarchical cluster analysis (average method) on the Euclidean distance matrix based on the PM10 chemistry. (b) Relative surfaces of the different landscapes surrounding the sites (perimeter of 50 km) based on the MODIS land cover approach. (c) Relative contributions of the different landscapes in the aerial emission of bacterial cells (based on the study of Burrows et al., (2009)⁴⁰). (d) Hierarchical cluster analysis (average method) on the Bray-Curtis dissimilarity matrix based on the bacterial community structure (genus level). Bootstrap values in percentage are indicated over each node on both cluster analyses.