Abstract：
The carbon cycle is an important component of life on Earth, and the decomposition of compounds is part of the carbon cycle. One key component of this part of the process is the decomposition of plant material and woody fibers. The purpose of this report is to establish a fungal decomposition rate prediction model to evaluate the impact of environmental changes on fungal activity, and therefore on the ecosystem. This paper aims to build two models: the model :Fungi Decomposition Prediction Model Based on BP Neural Network Algorithm; the model :Colony Evolution Model Based on Time Series Algorithm. In addition, the present report discusses the impact of colony diversity on ecosystems. Different microbial community construction has different effects on the decomposition, thus it can promote the decomposition of litters to a certain extent. And the diversity of the fungal community is conducive to sustainable development of the ecological environment.
摘要：
碳循环是地球生命的重要组成部分,化合物的分解是碳循环的一部分。该过程的这一部分的一个关键组成部分是植物材料和木质纤维的分解。本报告的目的是建立真菌分解速率预测模型，以评估环境变化对真菌活性的影响，因此在生态系统上。本文旨在建立两个模型：模型：基于BP神经网络算法的真菌分解预测模型；模型：基于时间序列算法的群落演化模型。此外,本报告讨论了殖民地多样性对生态系统的影响。不同的微生物群落构建对分解的影响不同,从而在一定程度上促进凋落物的分解。真菌群落的多样性有利于生态环境的可持续发展。
