@article{fdi:010082572,
  title = {{A}ccounting for soil architecture and microbial dynamics in microscale models : current practices in soil science and the path ahead},
  author = {{P}ot, {V}. and {P}ortell, {X}. and {O}tten, {W}. and {G}arnier, {P}. and {M}onga, {O}livier and {B}aveye, {P}. {C}.},
  editor = {},
  language = {{ENG}},
  abstract = {{M}acroscopic models of soil organic matter ({SOM}) turnover have faced difficulties in reproducing {SOM} dynamics or in predicting the spatial distribution of carbon stocks. {T}hese models are based on a largely inadequate linear response of soil microorganisms to bulk concentrations of nutrients and it is clear that a new approach to {SOM} modelling is required. {I}ntroducing explicit microbial activity and organic matter ({OM}) reactivity in macroscopic models represents a challenge because of the fine spatial scales at which the processes occur. {T}o get a better grasp on interactions that take place at the microscale, a new generation of {SOM} models have been developed at the spatial scale of the soil microenvironments where microorganisms evolve. {T}hese models are well adapted to challenge traditional hypotheses about the influence of soil architecture on soil microbial activity. {S}oil architecture provides the stage for a dynamic spatial accessibility of resources to microbes and the emergence of interactions between the actors in {SOM} decomposition. {I}n this context, we review microscale models of microbial activity that have been designed for soils and soil analogues. {T}o understand how these models account for spatial accessibility, we look in detail at how soil microenvironments are described in the different approaches and how microbial colonies are spatialized in these microenvironments. {W}e present the advantages and disadvantages of the developed strategies and we discuss their limits. {H}ighlights {W}e review the state of the art in the development of microscale models of soil microbial processes. {M}icroscale models have integrated the tremendous progress in knowledge of {OM} cycling in soils. {W}e categorize modelling approaches by how they deal with complexity of soil architecture. {M}odelling benchmarks are required to properly balance complexity and data uncertainty.},
  keywords = {bacteria models ; fungi models ; microbial dynamics ; microscale models ; soil architecture ; soil microenvironments ; soil organic matter ; decomposition},
  booktitle = {},
  journal = {{E}uropean {J}ournal of {S}oil {S}cience},
  volume = {73},
  numero = {1},
  pages = {e13142 [23 ]},
  ISSN = {1351-0754},
  year = {2022},
  DOI = {10.1111/ejss.13142},
  URL = {https://www.documentation.ird.fr/hor/fdi:010082572},
}