Issue |
E3S Web Conf.
Volume 267, 2021
7th International Conference on Energy Science and Chemical Engineering (ICESCE 2021)
|
|
---|---|---|
Article Number | 02029 | |
Number of page(s) | 6 | |
Section | Environmental Chemistry Research and Chemical Preparation Process | |
DOI | https://doi.org/10.1051/e3sconf/202126702029 | |
Published online | 04 June 2021 |
Trait-Based Models of Decomposition with Interspecific and Environmental Interactions
1 School of Mechatronic Engineering, Beijing Institute of Technology, Beijing, China
2 School of Mechatronic Engineering, Beijing Institute of Technology, Beijing, China
3 School of Aerospace Engineering, Beijing Institute of Technology, Beijing, China
* These authors contributed equally to this work
* Corresponding author:
a 1098782848@qq.com
b Lexi.RX.Wang@outlook.com
c dly114s@163.com
Most saprotrophic fungi are dominant decomposers, and they play a vital role in the carbon cycle and stability of ecosystem. Previous researchers examined that how traits and environments influence the decomposition rate(DR), but few studies last long enough to scale short-term results up to long-term trends. In this paper, we build several trait-based models of decomposition with interspecific and environmental interactions to describe both short- and long-term trends. First, we build the model of decomposition ratio versus time with covariates – hyphal extension ratio and moisture tolerance for each species. Second, we define Interspecific Interference Ratio (IIR) to reflect interactions between fungi species and rank the relative competitiveness based on Grey System Theory with four evaluation indices: hyphal extension rate, moisture niche width, the hyphal density and thermal niche width. Then, we predict the relative advantages and disadvantages for different species by IIR and analyze the impact of biodiversity. Finally, we perform sensitivity and robustness analysis of our models, which exhibits the wide prospects and a deeper understanding of the role of fungi in the ecosystem.
© 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.
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