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. 2018 Jul 23;9:2876. doi: 10.1038/s41467-018-05020-y

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© The Author(s) 2018

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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Fig. 4 — Alpha and beta diversity as a function of geographic distance. a Alpha diversity scales (via Shannon index) across individual springs (n = 925), split by geothermal fields. Fields are ordered from north to south (H: Kruskal–Wallis test). b A distance-decay pattern of beta diversity (via Bray–Curtis dissimilarities of 925 springs) against pairwise geographic distance in metres, with linear regression applied (m = slope). Geographic distance is split into bins to aid visualisation of the spread