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Combination of energy limitation and sorption capacity explains 14C depth gradients
- 1.0531827 - BC 2021 RIV GB eng J - Journal Article
Ahrens, B. - Guggenberger, G. - Rethemeyer, J. - John, S. - Marschner, B. - Heinze, S. - Angst, Gerrit - Mueller, C.W. - Kögel-Knabner, I. - Leuschner, Ch. - Hertel, D. - Bachmann, J. - Reichstein, M. - Schrumpf, M.
Combination of energy limitation and sorption capacity explains 14C depth gradients.
Soil Biology and Biochemistry. Roč. 148, September (2020), č. článku 107912. ISSN 0038-0717
Institutional support: RVO:60077344
Keywords : 14 c * microbial model * mineral-associated organic carbon * organo-mineral interactions * sorption capacity * vertical SOC model
OECD category: Soil science
Impact factor: 7.609, year: 2020
Method of publishing: Limited access
During the last decade, a paradigmatic shift regarding which processes determine the persistence of soil organic matter (SOM) took place. The interaction between microbial decomposition and association of organic matter with the soil mineral matrix has been identified as a focal point for understanding the formation of stable SOM. Using an improved version of the vertically resolved SOM model COMISSION (Ahrens et al., 2015), this paper investigates the effect of a maximum sorption capacity (Qmax) for mineral-associated organic matter (MAOM) formation and its interaction with microbial processes, such as microbial decomposition and microbial necromass production. We define and estimate the maximum sorption capacity Qmax with quantile regressions between mineral-associated organic carbon (MAOC) and the clay plus silt (<20 μm) content. In the COMISSION v2.0 model, plant- and microbial-derived dissolved organic matter (DOM) and dead microbial cell walls can sorb to mineral surfaces up to Qmax. MAOC can only be decomposed by microorganisms after desorption. We calibrated the COMISSION v2.0 model with data from ten different sites with widely varying textures and Qmax values. COMISSION v2.0 was able to fit the MAOC and SOC depth profiles, as well as the respective 14C gradients with soil depth across these sites. Using the generic set of parameters retrieved in the multi-site calibration, we conducted model experiments to isolate the effects of varying Qmax, point-of-entry of litter inputs, and soil temperature. Across the ten sites, the combination of depolymerization limitation of microorganisms due to substrate scarcity in the subsoil and the size of Qmax explain 14C depth gradients in OC.
Permanent Link: http://hdl.handle.net/11104/0310488
Number of the records: 1