The wood decomposition system and community diversity of fungi

Abstract

Fungi are critical agents of the global carbon cycle, however, our ability to link fungal community composition to ecosystem functioning is constrained by a limited understanding the wood decomposition rates of fungus. Here we examined the wood decomposition rate of fungus and the impact of fungal community diversity on the wood decomposing. To understand the relationship between the wood decomposition rate and the traits of fungi, we introduced 37 types of fungus into the wood decomposition system and set the growth rate and moisture tolerance of fungus as the explanatory variables. In addition, we constructed the competition, parasitic and symbiotic model based on Malthus-block growth comprehensive to analyze and predict the interactions between different fungus. The entropy weight-TOPSIS model was established to understand the biodiversity of fungus and obtain the relative dominance degree which can reflect the advantages and disadvantages of different fungus. The ARIMA model was used in five different environments to predict the impact of fungal community diversity on the overall efficiency of wood decomposing. Our research can not only help us to better understand the fungus community, but also significant for improving the quality of climate and the carbon cycle.