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Related Concept Videos

Microbial Growth Measurement: Indirect Methods01:27

Microbial Growth Measurement: Indirect Methods

Estimating microbial growth is essential for understanding population dynamics and environmental adaptations. Indirect methods provide valuable insights by measuring parameters such as turbidity, metabolic activity, and biomass, enabling efficient and reproducible assessments.During exponential growth, microbial cells scatter light proportionally to their biomass, a principle used in turbidity measurements. About one million cells per milliliter produce detectable scattering, which a...
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The carbon cycle is a fundamental Earth process involving the transfer of carbon among the biosphere, lithosphere, atmosphere, and hydrosphere. It plays a critical role in regulating the planet’s climate and supporting life by cycling carbon through various chemical forms and reservoirs. Carbon primarily circulates as carbon dioxide (CO₂), representing its oxidized form, while reduced forms such as methane (CH₄) and organic compounds also play essential roles.Microbial activity is central to...
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Soil microbial ecology is defined by highly diverse, spatially structured communities that drive nutrient cycling, organic matter turnover, and overall ecosystem stability. Although a gram of soil can contain thousands of bacterial and archaeal taxa, the ecological processes they mediate are even more crucial for sustaining terrestrial life.Microhabitats and NichesSoil is a heterogeneous mixture of minerals, organic matter, water, and air. Microbes inhabit distinct microhabitats formed by...
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Microorganisms are pivotal agents in Earth's biogeochemical cycles, significantly influencing climate dynamics through their metabolic activities. These microbes modulate the levels of key greenhouse gases by both contributing to and helping mitigate climate change.Microbial Contributions to Greenhouse Gas EmissionsRising global temperatures accelerate microbial metabolism, which, in turn, speeds up the decomposition of organic matter. This process releases carbon dioxide (CO₂) through...

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Updated: Jun 15, 2026

Assessment of Labile Organic Carbon in Soil Using Sequential Fumigation Incubation Procedures
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Reducing the uncertainty in estimating soil microbial-derived carbon storage.

Han Hu1,2, Chao Qian3,4, Ke Xue3,4

  • 1State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China.

Proceedings of the National Academy of Sciences of the United States of America
|August 22, 2024
PubMed
Summary

Microbial-derived carbon (MDC) significantly contributes to soil organic carbon (SOC) storage. This study refines MDC estimation, revealing it comprises 40% of global soil carbon and improving climate change models.

Keywords:
methodologymicrobial derived carbonsoil carbon cycle

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Area of Science:

  • Environmental Science
  • Soil Science
  • Biogeochemistry

Background:

  • Soil organic carbon (SOC) is a critical terrestrial carbon pool vital for climate change mitigation and soil health.
  • Microbial-derived carbon (MDC) forms the persistent SOC pool, but its contribution is uncertain.
  • Existing MDC estimation formulas lack accuracy due to small sample sizes and unaddressed bacterial group effects.

Purpose of the Study:

  • To refine quantitative understanding of microbial-derived carbon (MDC) contributions to soil organic carbon (SOC) storage.
  • To develop improved, accurate, and practical formulas for estimating MDC.
  • To minimize uncertainties in MDC estimations caused by global variations in bacterial communities.

Main Methods:

  • Compilation of a comprehensive global dataset on soil organic carbon and microbial communities.
  • Application of machine learning approaches to analyze the dataset and refine estimation models.
  • Statistical analysis to quantify MDC contributions and reduce estimation errors.

Main Results:

  • MDC contributes approximately 40% (758 Pg) to the global soil carbon stock.
  • Relative standard errors in MDC estimations were reduced by an average of 71%.
  • The influence of global bacterial group composition variations on MDC estimation was minimized.

Conclusions:

  • Updated formulas enhance the accuracy and practicality of estimating microbial-derived carbon.
  • Accurate MDC quantification is crucial for improving climate models and predicting land-atmosphere carbon balance.
  • This research provides a more robust understanding of carbon cycling in terrestrial ecosystems.