4.8 Article

Large-scale importance of microbial carbon use efficiency and necromass to soil organic carbon

Journal

GLOBAL CHANGE BIOLOGY
Volume 27, Issue 10, Pages 2039-2048

Publisher

WILEY
DOI: 10.1111/gcb.15550

Keywords

carbon use efficiency; microbial necromass; microbial physiological parameters; microbial turnover rate; modeling; soil carbon storage

Funding

  1. National Natural Science Foundation of China [31830015, 41971058]
  2. Key Research Program of Frontier Sciences, CAS [QYZDB-SSW-DQC006]
  3. Youth Innovation Promotion Association CAS [2018231]
  4. National Program for Support of Top-notch Young Professionals
  5. K. C. Wong Education Foundation

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The study explored the effects of biotic and abiotic factors on soil organic carbon (SOC) content, finding a strong correlation between SOC and soil microbial biomass carbon (MBC) and amino sugar (AS) concentration. Microbial C use efficiency (CUE) and MBC were identified as key factors influencing SOC variations along a national-scale transect. The study confirms the importance of incorporating microbial biomass and necromass pools in Earth system models under global change scenarios.
Optimal methods for incorporating soil microbial mechanisms of carbon (C) cycling into Earth system models (ESMs) are still under debate. Specifically, whether soil microbial physiology parameters and residual materials are important to soil organic C (SOC) content is still unclear. Here, we explored the effects of biotic and abiotic factors on SOC content based on a survey of soils from 16 locations along a similar to 4000 km forest transect in eastern China, spanning a wide range of climate, soil conditions, and microbial communities. We found that SOC was highly correlated with soil microbial biomass C (MBC) and amino sugar (AS) concentration, an index of microbial necromass. Microbial C use efficiency (CUE) was significantly related to the variations in SOC along this national-scale transect. Furthermore, the effect of climatic and edaphic factors on SOC was mainly via their regulation on microbial physiological properties (CUE and MBC). We also found that regression models on explanation of SOC variations with microbial physiological parameters and AS performed better than the models without them. Our results provide the empirical linkages among climate, microbial characteristics, and SOC content at large scale and confirm the necessity of incorporating microbial biomass and necromass pools in ESMs under global change scenarios.

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