Mathematical Modeling Analysis and Optimization of Fungal Diversity Growth

TL;DR

This study develops mathematical models to analyze fungal growth and decomposition rates influenced by environmental factors, revealing interactions among multiple fungi species and their effects on decomposition efficiency.

Contribution

The paper introduces a combined modeling approach using Logistic and Lotka-Volterra models to analyze fungal community dynamics and decomposition rates under various environmental conditions.

Findings

Fungal communities with multiple species have lower decomposition rates than single-species communities.

Warm and humid environments maximize fungal decomposition rates.

Environmental changes can either inhibit or promote fungal growth depending on species characteristics.

Abstract

This paper studied the relationship between the decomposition rate of fungi and temperature, humidity, fungus elongation, moisture tolerance and fungus density in a given volume in the presence of a variety of fungi, and established a series of models to describe the decomposition of fungi in different states. Since the volume of soil was given in this case, the latter two characteristics could be attributed to the influence of the number of fungal population on the decomposition rate. Based on the Logistic model, the relationship between the number of population and time was established, and finally the number of fungi in the steady state was obtained The interaction between different species of fungi was analyzed by Lotka-Volterra model, and the decomposition rate of various fungal combinations in different environments was obtained. After studying the one and two cases, we can extrapher from one to the other, and the community consisting of n fungal populations will be similar to the community consisting of n+1 fungal populations. After the study, we substituted the collected data into the model and found that the fungal community composed of two kinds of fungi had a lower decomposition rate of ground decomposition or wooden fiber than that of a single kind of fungus for the same kind of substance. We found that the fungus in warm and humid environment of decomposition rate is highest, the change of the atmospheric cause some fungal population growth rate decreases, there are also some will increase, which is associated with the nature of fungi.We analyzed the influence of environmental factors, namely temperature and humidity, on the model.