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. 2015 Apr 1;4(3):505–517. doi: 10.1002/mbo3.255

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© 2015 The Authors. MicrobiologyOpen published by John Wiley & Sons Ltd.

This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Variance partitioning of molecular microbial biomass and bacterial diversity parameters. The amount of explained variance corresponds to the adjusted r² values of the contextual groups using partial redundancy analysis: soil physicochemical characteristics; land management space; shared amount of variance between soil characteristics and land management that could not be tested. The significance level of the contribution of the sets of variables is indicated as follows **P < 0.01 and ***P < 0.001. N_V_ar is the number of explanatory variables retained after selecting the most parsimonious explanatory variables (by minimizing the AIC, akaike information criterion).

Inline graphic — Variance partitioning of molecular microbial biomass and bacterial diversity parameters. The amount of explained variance corresponds to the adjusted r² values of the contextual groups using partial redundancy analysis: soil physicochemical characteristics; land management space; shared amount of variance between soil characteristics and land management that could not be tested. The significance level of the contribution of the sets of variables is indicated as follows **P < 0.01 and ***P < 0.001. N_V_ar is the number of explanatory variables retained after selecting the most parsimonious explanatory variables (by minimizing the AIC, akaike information criterion).