Interactive effects of microbial functional diversity and carbon availability on decomposition: A theoretical exploration

Swamini Khurana, Rose Abramoff, Elisa Bruni, Marta Dondini, Boris Tupek, Bertrand Guenet, Aleksi Lehtonen, Stefano Manzoni*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Microbial functional diversity in litter and soil has been hypothesized to affect the rate of decomposition of organic matter and other soil ecosystem functions. However, there are no clear theoretical expectations on how these effects might change with substrate availability, heterogeneity in the substrate chemistry, and different aspects of functional diversity itself (number of microbial groups vs. distribution of functional traits). To explore how these factors shape the decomposition-diversity relation, we carry out numerical experiments using a flexible reaction network comprising microbial processes and interactions with bioavailable carbon (extracellular degradation, uptake, respiration, growth, and mortality), and ecological processes (competition among the different groups). We also considered diverse carbon substrates, in terms of varying nominal oxidation state of carbon (NOSC). The reaction network was used to test the effects of (i) number of microbial groups, (ii) number of carbon pools, (iii) microbial functional diversity, and (iv) amount of bioavailable carbon. We found that the decomposition rate constant increases with increasing substrate concentration and heterogeneity, as well as with increasing microbial functional diversity or variance of microbial traits, albeit these biological factors are less important. The multivariate dependence of the decomposition rate constant (and other decomposition and microbial growth metrics) on substrate and microbial factors can be described using power laws with exponents lower than one, indicating that diversity effects on decomposition and microbial growth are reduced at high substrate concentration and heterogeneity, or at high microbial diversity.

Original languageEnglish
Article number110507
JournalEcological Modelling
Volume486
Early online date10 Oct 2023
DOIs
Publication statusPublished - Dec 2023

Bibliographical note

Funding Information:
We thank Prof. Alexei Tiunov for sharing microbial respiration data from Tiunov and Scheu (2005) and Dr. Arjun Chakrawal for discussions on organic matter quality. This work was supported by the grant “Holistic management practices, modelling and monitoring for European forest soils” (H2020 grant agreement 101000289). SM has also received funding from the European Research Council (ERC) under the European Union's Horizon 2020 Research and Innovation Programme (SMILE, grant agreement 101001608). RA received funding from Lawrence Berkeley National Laboratory (LBNL), which is managed and operated by the University of California (UC) under U.S. Department of Energy Contract No. DE-AC02-05CH11231.

Publisher Copyright:
© 2023

Data Availability Statement

The model codes are available at: https://doi.org/10.5281/zenodo.8364682.

Keywords

  • Decomposition kinetics
  • Microbial diversity-function relation
  • Microbial functional trait
  • Microbial model
  • Organic carbon oxidation state
  • Organic matter decomposition

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