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. 2018 May 16;8:7619. doi: 10.1038/s41598-018-25989-2

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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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Direct effects of macrofauna on the different bioturbation metrics (a), and indirect effects of macrofauna through bioturbation on solute fluxes, and direct effects of macrofauna and bioturbation on solute fluxes (b) according to the DistLM models. The numbers indicate the amount of variation accounted for by the set of predictors, the sign indicates the direction of the correlation with the dbRDA -axis.