生物化学システム理論によるクローバー人口モデルの精査 : 1. 定常状態感度解析

概要

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Biochemical Systems Theory (BST) systematically characterizes a given network system by use of logarithmic gains (generally called normalized local sensitivities), rate-constant sensitivities, and kinetic-order sensitivities. This work applies BST to a clover plant population model previously proposed by other researchers, and discusses the result of steady-state sensitivity analysis. Nearly all the absolute values of the steady-state logarithmic gains are less than or equal to 1.0, indicating that the present model is low sensitive, although the researchers who constructed the model gave an opposite judgment by predicting the local sensitivities from the relationship between the dependent variable and parameter value at various steady-states. Similarly, nearly all the absolute values of the rate-constant sensitivities are less than or equal to 1.0. However, the absolute values of many kinetic-order sensitivities are greater than 1.0. Of the 108 values, 50 are between 1.0 and 4.0, 5 are about 6.0, and 2 are about 9.5. These parameter sensitivities show that the present model is not sufficiently robust.
生態工学会の論文
2007-07-31