Department of Soil and Environmental Sciences, University of California, Riverside, California 92521.
Appl Environ Microbiol. 1984 Jan;47(1):167-72. doi: 10.1128/aem.47.1.167-172.1984.
The kinetics of mineralization of carbonaceous substrates has been explained by a deterministic model which is applicable to either growth or nongrowth conditions in soil. The mixed-order nature of the model does not require a priori decisions about reaction order, discontinuity period of lag or stationary phase, or correction for endogenous mineralization rates. The integrated equation is simpler than the integrated form of the Monod equation because of the following: (i) only two, rather than four, interdependent constants have to be determined by nonlinear regression analysis, (ii) substrate or product formation can be expressed explicitly as a function of time, (iii) biomass concentration does not have to be known, and (iv) the required initial estimate for the nonlinear regression analysis can be easily obtained from a linearized form rather than from an interval estimate of a differential equation. CO(2) evolution data from soil have been fitted to the model equation. All data except those from irradiated soil gave better fits by residual sum of squares (RSS) by assuming growth in soil was linear (RSS = 0.71) as opposed to exponential (RSS = 2.87). The underlying reasons for growth (exponential versus linear), no growth, and relative degradation rates of substrates are consistent with the basic mechanisms from which the model is derived.
该模型适用于土壤中生长或非生长条件下的碳素基质矿化动力学。该模型的混合阶性质不需要关于反应阶、滞后或稳定阶段的不连续期、或对内源性矿化率的校正的先验决策。由于以下原因,整合方程比 Monod 方程的整合形式更简单:(i)仅需通过非线性回归分析确定两个而不是四个相互依赖的常数,(ii)基质或产物的形成可以明确表示为时间的函数,(iii)不需要知道生物量浓度,以及(iv)非线性回归分析所需的初始估计值可以很容易地从线性化形式而不是微分方程的区间估计值中获得。已经将土壤中的 CO2 释放数据拟合到模型方程中。除了辐照土壤的数据之外,所有数据都通过假设土壤中的生长是线性的(RSS = 0.71)而不是指数的(RSS = 2.87),通过残差平方和(RSS)给出了更好的拟合。生长(指数与线性)、无生长和基质相对降解率的根本原因与该模型的基本机制一致。