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. 2021 Jun 15;11:12548. doi: 10.1038/s41598-021-91653-x

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© The Author(s) 2021

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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

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Ordination diagram showing results of redundancy analysis testing how well variation in the assessed soil parameters could be explained by the stability of 1–2 mm soil aggregates. Soil parameters positively and significantly (p < 0.05) associated with the predictor are shown in bold. Angle between predictor arrow and particular soil parameter arrow approximates linear correlation between the two variables (proportional to the cosine of the angle). The first (horizontal) axis explains 18.3% of the total variation in soil parameters. AMF, arbuscular mycorrhizal fungi; FG, functional groups; HWC, hot water extractable carbon; EE glomalin, easily extractable glomalins; SOC lability, soil organic carbon lability.