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. 2022 Jun 25;12:10824. doi: 10.1038/s41598-022-14224-8

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© The Author(s) 2022

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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Diagram of the MIcrobial-MIneral Carbon Stabilization (MIMICS) model, which explicitly considers microbial functional diversity by simulating two functional groups (MIC_r, inefficient, fast-growers; MIC_K, conservative, slow-growers) and their potential effects on litter decomposition and soil organic matter persistence (available SOM_a; chemically protected SOM_c; physically protected SOM_p). Litter C inputs are initially partitioned (f_met) between litter pools (structural LIT_s; metabolic LIT_m), while a lesser fraction (f_i) transfers directly to the SOM pools. Parameters used for model calibration and validation related to microbial catabolic capacity (V_max and K_es, blue lines), microbial anabolism (MGE and τ, green lines), and physicochemical protection of SOM (f_p and D, orange lines). See also Table 1.