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Analysis of Fungal Decomposition based on Fungal Decomposition Model

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DOI: 10.23977/erej.2021.050110 | Downloads: 19 | Views: 1230

Author(s)

Chenxi Wang 1, Dalin Qin 1, Xiaoyu Tan 1

Affiliation(s)

1 South China University of Technology, Guangzhou, Guangdong, 510006

Corresponding Author

Chenxi Wang

ABSTRACT

Fungi, as decomposers, are critical in carbon cycle by decomposing woody fibers. In order to describe the dynamic process of decomposition of wood through fungal activities incorporating the interactions between different species of fungi, we abstracted a set of differential equations and established Fungal Decomposition Model based on the predator-prey relationship between fungi and wood and the competition relationship among fungi species. Then, for describing the short-term and long-term trends of the dynamics of interactions among fungi, we used MATLAB to simulate the decomposition progress and got a result that in the short term, different communities of fungi work together and the decomposition speed gets faster, while in the long term, the severe competition among fungi makes the more competitive colonies develop and the less competitive colonies go extinct.

KEYWORDS

Fungi, Fungal Decomposition Model, Lotka-V olterra Predator-Prey Model

CITE THIS PAPER

Chenxi Wang, Dalin Qin, Xiaoyu Tan, Analysis of Fungal Decomposition based on Fungal Decomposition Model. Environment, Resource and Ecology Journal (2021) 5: 62-66. DOI: http://dx.doi.org/10.23977/erej.2021.050110

REFERENCES

[1] Quanchao Zeng. Microbial mechanism of litter decomposition of Quercus Liaotungensis on the Loess Plateau. Dissertation for doctor degree, Northwest A & F University, 1 2018.
[2] Qixiang Zhang. Study on brown-rot fungi assisted degradation of cellulose active substances. Dissertation for master degree, Shandong University, 7 2004.
[3] Nicky Lustenhouwer, Daniel S Maynard, Mark A Bradford, Daniel L Lindner, Brad Oberle, Amy E Zanne, and Thomas W Crowther. A trait-based understanding of wood decomposition by fungi. Proceedings of the National Academy of Sciences, 117(21): 11551–11558, 2020.

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