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Isolation and Analysis of Microbial Communities in Soil, Rhizosphere, and Roots in Perennial Grass Experiments
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Linking microbial diversity with ecosystem functioning through a trait framework.

Jun-Tao Wang1, Eleonora Egidi, Jing Li

  • 1Hawkesbury Institute for the Environment, Western Sydney University, Richmond, NSW 2753, Australia.

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|November 14, 2019
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Summary
This summary is machine-generated.

Trait-based microbial biogeography offers a mechanistic approach to understanding microbial diversity and ecosystem functions. This review outlines how to use microbial traits for community characterization and proposes a framework linking traits to ecosystem functions.

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Area of Science:

  • Microbial ecology
  • Biogeochemistry
  • Ecosystem science

Background:

  • Microbial diversity is crucial for ecosystem functioning.
  • Understanding the link between microbial communities and ecosystem functions requires mechanistic insights.
  • Trait-based approaches offer a promising avenue for this understanding.

Purpose of the Study:

  • To review the application of trait-based approaches in microbial biogeography.
  • To identify scenarios where microbial traits effectively characterize communities.
  • To propose a conceptual framework for linking microbial traits to ecosystem functions.

Main Methods:

  • Literature review and synthesis of existing research on trait-based microbial ecology.
  • Identification of key microbial traits relevant to ecosystem functions.
  • Development of a conceptual framework based on trait-function relationships.

Main Results:

  • Trait-based microbial biogeography enables mechanistic understanding of microbial communities.
  • Specific scenarios exist where trait characterization is most effective.
  • A conceptual framework can successfully link microbial traits to ecosystem functions.

Conclusions:

  • Trait-based approaches are valuable for advancing microbial ecology and understanding ecosystem functioning.
  • The proposed framework provides a tool for predicting ecosystem responses to microbial community changes.
  • Further research applying this framework can enhance our mechanistic understanding.