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Research on the Decomposition Rate of Fungi Combination Based on EIO Competitive Ranking and Sigmoid Model

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DOI: 10.23977/erej.2021.050308 | Downloads: 6 | Views: 888

Author(s)

Hongli Li 1, Chang Luo 2, Xinhang Lv 3

Affiliation(s)

1 College of engineering, Northeast Agricultural University, Harbin, Heilongjiang, 150030
2 College of agriculture, Northeast Agricultural University, Harbin, Heilongjiang, 150030
3 School of economics and management, Northeast Agricultural University, Harbin, Heilongjiang, 150030

Corresponding Author

Hongli Li

ABSTRACT

Litterfall decomposition speed affect the development of carbon cycle rate of ecosystems and biodiversity. As the main decomposer, fungui understands the decomposition characteris- tics of fungui to litterfall, which is a key step in exploring the carbon cycle process. We established a fungal combinatorial decomposition model, which uses growth rate and temperature-affected humidity resistance as independent variables. Then according to the EIO competitive ranking, the sigmoid model is used to calculate the weight of each fungui. Bringing into the above decomposition model, a comprehensive model of decomposition rate under a variety of flora environment is finally obtained.

KEYWORDS

EIO competitive ranking, Sigmoid model, Fungal decomposition rate

CITE THIS PAPER

Hongli Li, Chang Luo, Xinhang Lv. Research on the Decomposition Rate of Fungi Combination Based on EIO Competitive Ranking and Sigmoid Model. Environment, Resource and Ecology Journal (2021) 5: 33-36. DOI: http://dx.doi.org/10.23977/erej.2021.050308.

REFERENCES

[1] 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 of the United States, May 13, 2020.
[2] P.-L. Chagnon, R. L. Bradley, H. Maherali, J. N. Klironomos, A trait-based framework to understand life history of mycorrhizal fungi. Trends Plant Sci. 18, 484–491 (2013).
[3] Zhang Yunong, Qu Lu, Chen Junwei, Liu Jinrong, Guo Dongsheng. Multi-input Sigmoid activation function neural network weights and structure determination method [J]. Computer Application Research, 2012, 29(11): 4113-4116+4151.
[4] A. Van der Wal, E. Ottosson, W. De Boer, Neglected role of fungal community composition in explaining variation in wood decay rates. Ecology 96, 124–133 (2015).

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