@article{fdi:010082635,
  title = {{S}cenario modelling of carbon mineralization in 3{D} soil architecture at the microscale : toward an accessibility coefficient of organic matter for bacteria},
  author = {{M}be, {B}. and {M}onga, {O}livier and {P}ot, {V}. and {O}tten, {W}. and {H}echt, {F}. and {R}aynaud, {X}. and {N}unan, {N}. and {C}henu, {C}. and {B}aveye, {P}. {C}. and {G}arnier, {P}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he microscale physical characteristics of microbial habitats considerably affect the decomposition of organic matter in soils. {O}ne of the challenges is to identify microheterogeneities in soil that can explain the extent of carbon mineralization. {T}he aim of this study was therefore to identify descriptors of mu m-scale soil heterogeneity that can explain {CO}2 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. {A}mong the existing 3{D} models that simulate microbial activity in soils, {M}osaic is able to simulate, within a short computation time, the microbial degradation of organic matter at the microhabitat scale in soil using real 3{D} images of soil porosity. {O}ur approach was to generate scenarios of carbon mineralization for various microscale environmental conditions and determine how the descriptors of soil structure could explain {CO}2 evolution. {F}irst, we verified that the simulated diffusion of solutes in the soil samples obtained with {M}osaic were the same as those obtained using the same parameter set from a robust 3{D} model based on a lattice {B}oltzmann approach. {T}hen, we ran scenarios considering different soil pore architectures, water saturations and microorganism and organic matter placements. {W}e found that the {CO}2 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. {F}or 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. {T}his microscale descriptor is correlated to the simulated {CO}2 flux with a correlation coefficient of 0.69. {H}ighlights {D}oes the microscopic soil organisation explain the macroscopic mineralisation fluxes ? {W}e present a new descriptor based on the geodesic distances between organic matter and microorganisms. {W}e found a correlation between the descriptor of mu m-heterogeneity and the mineralization fluxes. {O}ther scenarios should be carried out under wider environmental mu m-conditions to confirm our results.},
  keywords = {decomposition ; diffusion ; model scenarios ; soil structure ; tomography},
  booktitle = {},
  journal = {{E}uropean {J}ournal of {S}oil {S}cience},
  volume = {73},
  numero = {1},
  pages = {e13144 [16 ]},
  ISSN = {1351-0754},
  year = {2022},
  DOI = {10.1111/ejss.13144},
  URL = {https://www.documentation.ird.fr/hor/fdi:010082635},
}