Quantitative method for coupling relationship between organic carbon and microorganisms under environmental change

Abstract

The invention discloses a quantitative method for a coupling relationship between organic carbon and microorganisms under environmental change, the method comprises the following steps: dividing global change factors into continuous windows based on a moving window method, and analyzing and establishing an interaction bipartite network between organic carbon molecule composition and microbial community composition in each window through a statistical model; calculating a network topological structure index on the whole network (ecological system) level, and quantifying the interaction between organic carbon and microorganism composition; calculating a standard fraction in combination with a zero model, and standardizing quantification of the organic carbon-microorganism interaction; and visually describing the response characteristics of the organic carbon-microorganism coupling relationship along the environmental change gradient. According to the method disclosed by the invention, the quantitative comparison of the structural characteristics of the organic carbon-microorganism interaction network under different ecological system and environment change gradient conditions can be accurately obtained, and the quantitative and response mechanism of the organic carbon-microorganism interaction characteristics under the global change background can be developed and clarified.

Description

technical field [0001] The invention belongs to the technical field of microbial ecology, and in particular relates to a quantitative method for the coupling relationship between organic carbon and microorganisms under environmental changes. Background technique [0002] Under the background of global change, basic scientific issues such as the coupling relationship between organic carbon and microorganisms and their environmental response mechanisms are hot areas of global change research. Understanding the influence laws and mechanisms of environmental factors can better predict the response characteristics of ecosystem communities and functions in the future global context. At present, the research on the change of the community-function coupling relationship along the environmental gradient mostly focuses on the discrete environmental gradient, but it is impossible to analyze the change process of the coupling relationship between the two along the environmental factor g...

AI Technical Summary

Problems solved by technology

At present, the research on the change of the community-function coupling relationship along the environmental gradient mostly focuses on the discrete environmental gradient, but it is impossible to analyze the change process of the coupling relationship between the two along the environmental factor gradient for the measured continuous environmental gradient.

In addition, there is a very complex relationship between organic carbon molecules and microbial species in the environment, and there is still a lack of relevant methods to quantify the coupling relationship between organic carbon and microorganisms at the ecosystem level.

Images