Corrigendum

Short-term dynamics of soil respiration rates over time measured at hourly intervals during less than 12 h after microbial substrates were added to soils can be classified into first-order, zero-order and growth-associated types. To simulate the zero-order type respiration rates, a model using Michaelis-Menten kinetics is proposed, because this kinetics model includes a maximum respiration rate but no increase in microbial biomass. In this model, soil respiration by microorganisms was assumed to be the sum of the mineralization of easily available substrates (R), which include both added glucose (G) and substrates released by disturbance such as a mixing treatment (D) and constant mineralization under steady state conditions. By analyzing the short-term dynamics of previously published respiration rates, which show no increase with time, for a Kazakh forest, a Japanese forest and a Japanese arable soils, the parameter values of zr and D0, which indicate the ratio of respired to utilized R and the initial concentration of D, respectively, were estimated. This allowed simulation of the decreasing concentrations of R and estimation of the parameters Vmax and KM in the Michaelis-Menten equation. Simulations using the obtained parameter values matched the measured data well. Correlation coefficients (r) and root mean square errors (RMSE) indicated that the simulations usually matched the measured data, which included not only zero-order respiration rates but also first-order respiration rates. Therefore, the proposed model using Michaelis-Menten kinetics can be used to simulate the short-term dynamics of respiration rates, which show no increase over time, when easily available substrates would be added in soils.

[1]  T. Kosaki,et al.  Threshold concentrations of glucose to increase the ratio of respiration to assimilation in a Japanese arable soil and a strongly acidic Japanese forest soil , 2009 .

[2]  T. Kosaki,et al.  Soil microorganisms have a threshold concentration of glucose to increase the ratio of respiration to assimilation , 2008 .

[3]  P. Aagaard,et al.  Kinetics of microbial growth and degradation of organic substrates in subsoil as affected by an inhibitor, benzotriazole: Model based analyses of experimental results , 2007 .

[4]  David L. Jones,et al.  The carbon we do not see : The impact of low molecular weight compounds on carbon dynamics and respiration in forest soils - A review , 2005 .

[5]  K. Killham,et al.  A review of rhizosphere carbon flow modelling , 2000, Plant and Soil.

[6]  L. Jackson,et al.  Rapid response of soil microbial communities from conventional, low input, and organic farming systems to a wet/dry cycle , 1999 .

[7]  David S. Powlson,et al.  Evaluation of Soil Organic Matter Models using Existing, Long-Term Datasets , 1996 .

[8]  S. K. Schmidt,et al.  Improved procedure for obtaining statistically valid parameter estimates from soil respiration data , 1995 .

[9]  T. Anderson,et al.  Soil microbial carbon uptake characteristics in relation to soil management , 1990 .

[10]  K. Domsch,et al.  Carbon assimilation and microbial activity in soil , 1986 .

[11]  D. W. Nelson,et al.  Kinetics of glucose uptake by soil microorganisms , 1986 .

[12]  K. Domsch,et al.  Maintenance carbon requirements of actively-metabolizing microbial populations under in situ conditions , 1985 .

[13]  M. Alexander,et al.  Models for mineralization kinetics with the variables of substrate concentration and population density , 1984, Applied and environmental microbiology.

[14]  S. Eaton.  Soil Microorganisms , 1931, Botanical Gazette.