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Soil C and N models that integrate microbial diversity.

Benjamin P Louis1, Pierre-Alain Maron2, Valérie Viaud3

  • 1UMR 1069 SAS, Agrocampus-Ouest, 65, Rue de Saint Brieuc, 35042 Rennes Cedex, France ; UMR 1069 SAS, INRA, 65, Rue de Saint Brieuc, 35042 Rennes Cedex, France ; Université Européenne de Bretagne, Rennes, France.

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Industrial agriculture causes significant soil carbon and nitrogen loss. Incorporating soil microbial diversity into models enhances carbon and nitrogen dynamics, improving soil health and agricultural sustainability.

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Area of Science:

  • Agricultural Science
  • Soil Science
  • Microbiology

Background:

  • Industrial agriculture leads to substantial global losses of soil carbon (55-100 Pg/year) and reactive nitrogen (9.9 Tg/year).
  • Soil organic matter (SOM) management is crucial for carbon (C) and nitrogen (N) cycles, with soil microorganisms playing a central role in SOM dynamics.
  • Current models of C and N dynamics rarely incorporate soil microbial diversity, despite its significant influence (explaining up to 77% of carbon mineralization).

Approach:

  • This review examines the impact of microbial diversity on soil C and N dynamics.
  • It assesses the integration of microbial diversity into existing soil C and N models.
  • Fifty models incorporating microbial diversity were analyzed regarding their methodologies and limitations.

Key Points:

  • Increased microbial richness and evenness generally enhance soil C and N dynamics.
  • The specific composition of the microbial community influences the extent of C and N dynamic improvements.
  • Over 90% of reviewed models represent microbial diversity using conceptual functional groups or food web interactions.

Conclusions:

  • Integrating microbial diversity into soil C and N models is essential for accurate ecological process prediction.
  • Many current models lack empirical validation and rely on fixed parameters, highlighting the need for better methods to link microbial taxonomic and functional diversity.
  • Future research should focus on developing robust models that accurately represent the role of microbial diversity in soil C and N cycling for sustainable agriculture.