The decomposition of woody fibers by multiple fungi and their interaction
DOI: 10.23977/erej.2021.050204 | Downloads: 41 | Views: 1661
Author(s)
Xinwei Hu 1, Jiexin Lu 1, Yuxuan Wu 2
Affiliation(s)
1 School of Electronic Science and Engineering, Xiamen University, Xiamen, Fujian 361005
2 School of Economics, Xiamen University, Xiamen, Fujian 361005
Corresponding Author
Xinwei HuABSTRACT
In this paper, we study the fungal community in which woody fibers are decomposed through fungal activity. Firstly, by analyzing the data of fungal traits, we establish Model I: a model for the decomposition of woody fibers by multiple fungi and their interaction. Secondly, under the existing microbiology research, we establish Model II: The Fungal Population Competition Model, to predict the relative advantages of species combinations in different environments and the importance and role of biodiversity. For this question, we extract the data of different fungi’s hyphal extension rate, moisture tolerance and decomposition rate. Then by modeling the Binary Nonlinear Regression model based on the least square method, we describe the breakdown of ground litter and woody fibers through two traits of fungi. Finally, we analyze the accuracy and sensitivity of the model, and prove that our model is accurate and stable for different parameters. Also, we discuss the latest developments in the role of fungi in ecosystems.
KEYWORDS
Population competition, multivariate logistic regression, time series prediction, dimensionless, binary nonlinear regressionCITE THIS PAPER
Xinwei Hu, Jiexin Lu, Yuxuan Wu. The decomposition of woody fibers by multiple fungi and their interaction. Environment, Resource and Ecology Journal (2021) 5: 14-18. DOI: http://dx.doi.org/10.23977/erej.2021.050204
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] Otso Ovaskainen, Jenni Hottola and Juha Siitonen, "Modeling species co-occurrence by multivariate logistic regression generates new hypotheses on fungal interactions,"Published by Wiley on behalf of the Ecological Society of America, September 2010, Vol. 91, No. 9 (September 2010), pp. 2514-2521
[3] M. Jabed A. Choudhury, Philip M. J. Trevelyan & Graeme P. Boswell" A mathematical model of nutrient inflfluence on fungal competition," Article in Journal of Theoretical Biology, November 2017
[4] Diogenis A. Kiziridis ,Mike S. Fowler and Chenggui Yuan,"Modelling fungal competition for space - Towards prediction of community dynamics,"Published by DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS SERIES B , Volume 25, Number 11, November 2020, pp. 4411–4426
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