Issue |
E3S Web Conf.
Volume 267, 2021
7th International Conference on Energy Science and Chemical Engineering (ICESCE 2021)
|
|
---|---|---|
Article Number | 02028 | |
Number of page(s) | 7 | |
Section | Environmental Chemistry Research and Chemical Preparation Process | |
DOI | https://doi.org/10.1051/e3sconf/202126702028 | |
Published online | 04 June 2021 |
A Simulation Model of the Decomposition Activity of Multiple Fungi
1 Zhejiang University, Agriculture and Biotechnology College, Xihu District, Hangzhou, Zhejiang Province, China
2 Zhejiang University, Agriculture and Biotechnology College, Xihu District, Hangzhou, Zhejiang Province, China
* Corresponding author: 983972478@qq.com
Fungi play an essential role in carbon cycle by decomposing the litter and woody fibers. This study aims to establish a model for describing the decomposition by multiple fungal activities in different environment. We establish Colony Distribution-Decomposition Model to simulate the interaction between various fungi and describe the relationship between fungal activity and decomposition, which is divided into three sub-models: single colony growth and extension model, decomposition model and competition model. We applied this model to the study of the interaction of different species, the sensitivity of fungi to environmental changes in short-term and long-term, the adapatability to different climate types for various species and the role biodiversity plays in the breakdown of the litter. The developed model has the advantages of comprehensiveness, stability, rationality, and wide application, which is a feasible and reasonable model to assist the analysis on the interaction between multiple fungi and describe the relationship between fungal activity and decomposition.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.