<p>Water-extractable organic matter (WEOM) obtained from air-dried soil samples can be used to estimate microbial biomass instead of chloroform fumigation extraction (CFE) using fresh, moist soils and toxic solvents. However, the accuracy of such WEOM-based estimates has not been evaluated. We evaluated relationships between WEOM measurements obtained from air-dried soils and microbial biomass measurements obtained through CFE based on 50 soil samples from 10 soil profiles in Japanese forests and pasture. The amount of water-extractable organic carbon (C) obtained from air-dried soils corresponded to 31% of microbial biomass C, demonstrating a strong correlation (squared correlation coefficients (<i>R</i><sup>2</sup>) = 0.94, statistical probability (<i>P</i>) &lt; 0.01), whereas the amount of water-extractable total nitrogen (N) (WETN) and microbial biomass N was weakly correlated (<i>R</i><sup>2</sup> = 0.56, <i>P</i> &lt; 0.01). Moreover, the relationships with soil physiochemical properties were similar between WEOC and microbial biomass C (<i>R</i><sup>2</sup> = 1.00, root mean square error (RMSE) = 0.04), whereas those were less similar between WETN and microbial biomass N (<i>R</i><sup>2</sup> = 0.73, RMSE = 0.28). The decoupling of WETN for air-dried soils and microbial biomass N was attributed to differences in the amounts of inorganic N compounds (NO<sub>3</sub><sup>–</sup> and NH<sub>4</sub><sup>+</sup>) in K<sub>2</sub>SO<sub>4</sub> extracts from chloroform-fumigated and unfumigated soils compared to those in water extracts from air-dried soils. These results support our hypothesis that WEOM originates from and is a valid estimate of microbial biomass, particularly for C, offering a solution to the practical difficulties involved in measuring microbial biomass using the CFE. Nevertheless, a caution should be noted that this novel method is still empirical estimation without less mechanistic or process driven explanation. Thus, there is a need to validate this new estimation in other sets of soil samples.</p>

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Estimation of microbial biomass based on water-extractable organic matter from air-dried soils from Japanese forests and pasture

  • Hirohiko Nagano,
  • Yuki Kanda,
  • Yuri Suzuki,
  • Syuntaro Hiradate,
  • Jun Koarashi,
  • Mariko Atarashi-Andoh,
  • Zhibin Guo

摘要

Water-extractable organic matter (WEOM) obtained from air-dried soil samples can be used to estimate microbial biomass instead of chloroform fumigation extraction (CFE) using fresh, moist soils and toxic solvents. However, the accuracy of such WEOM-based estimates has not been evaluated. We evaluated relationships between WEOM measurements obtained from air-dried soils and microbial biomass measurements obtained through CFE based on 50 soil samples from 10 soil profiles in Japanese forests and pasture. The amount of water-extractable organic carbon (C) obtained from air-dried soils corresponded to 31% of microbial biomass C, demonstrating a strong correlation (squared correlation coefficients (R2) = 0.94, statistical probability (P) < 0.01), whereas the amount of water-extractable total nitrogen (N) (WETN) and microbial biomass N was weakly correlated (R2 = 0.56, P < 0.01). Moreover, the relationships with soil physiochemical properties were similar between WEOC and microbial biomass C (R2 = 1.00, root mean square error (RMSE) = 0.04), whereas those were less similar between WETN and microbial biomass N (R2 = 0.73, RMSE = 0.28). The decoupling of WETN for air-dried soils and microbial biomass N was attributed to differences in the amounts of inorganic N compounds (NO3 and NH4+) in K2SO4 extracts from chloroform-fumigated and unfumigated soils compared to those in water extracts from air-dried soils. These results support our hypothesis that WEOM originates from and is a valid estimate of microbial biomass, particularly for C, offering a solution to the practical difficulties involved in measuring microbial biomass using the CFE. Nevertheless, a caution should be noted that this novel method is still empirical estimation without less mechanistic or process driven explanation. Thus, there is a need to validate this new estimation in other sets of soil samples.