Scenario modelling of carbon mineralization in 3D soil architecture at the microscale: toward an accessibility coefficient of organic matter for bacteria

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dc.contributor.authorMbé, Bruno
dc.contributor.authorMonga, Olivier
dc.contributor.authorPot, Valérie
dc.contributor.authorOtten, Wilfred
dc.contributor.authorHecht, Frédéric
dc.contributor.authorRaynaud, Xavier
dc.contributor.authorNunan, Naoise
dc.contributor.authorChenu, Claire
dc.contributor.authorBaveye, Philippe C.
dc.contributor.authorGarnier, Patricia
dc.date.accessioned2021-07-22T15:15:45Z
dc.date.available2021-07-22T15:15:45Z
dc.date.issued2021-07-07
dc.description.abstractThe microscale physical characteristics of microbial habitats considerably affect the decomposition of organic matter in soils. One of the challenges is to identify microheterogeneities in soil that can explain the extent of carbon mineralization. The aim of this study was therefore to identify descriptors of μm-scale soil heterogeneity that can explain CO2 fluxes obtained at the mm scale. A suite of methods and models that visualize soil heterogeneity at scales relevant to microorganisms has been developed over the last decade. Among the existing 3D models that simulate microbial activity in soils, Mosaic is able to simulate, within a short computation time, the microbial degradation of organic matter at the microhabitat scale in soil using real 3D images of soil porosity. Our approach was to generate scenarios of carbon mineralization for various microscale environmental conditions and determine how the descriptors of soil structure could explain CO2 evolution. First, we verified that the simulated diffusion of solutes in the soil samples obtained with Mosaic were the same as those obtained using the same parameter set from a robust 3D model based on a lattice Boltzmann approach. Then, we ran scenarios considering different soil pore architectures, water saturations and microorganism and organic matter placements. We found that the CO2 emissions simulated for the different scenarios could be explained by the distance between microorganisms and organic matter, the diffusion of the substrate and the concentration of the available substrate. For some of the scenarios, we proposed a descriptor of accessibility based on the geodesic distance between microorganisms and organic matter weighted by the amount of organic matter. This microscale descriptor is correlated to the simulated CO2 flux with a correlation coefficient of 0.69.en_UK
dc.identifier.citationMbé B, Monga O, Pot V, et al., (2022) Scenario modelling of carbon mineralization in 3D soil architecture at the microscale: toward an accessibility coefficient of organic matter for bacteria. European Journal of Soil Science, Volume 73, Issue 1, January - February 2022, Article number e13144en_UK
dc.identifier.issn1351-0754
dc.identifier.urihttps://doi.org/10.1111/ejss.13144
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/16924
dc.language.isoenen_UK
dc.publisherWileyen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjecttomographyen_UK
dc.subjectsoil structureen_UK
dc.subjectmodel scenariosen_UK
dc.subjectdiffusionen_UK
dc.subjectdecompositionen_UK
dc.titleScenario modelling of carbon mineralization in 3D soil architecture at the microscale: toward an accessibility coefficient of organic matter for bacteriaen_UK
dc.typeArticleen_UK

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