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Environmental Disturbances Decrease the Variability of Microbial Populations within Periphyton.

Cristina M Herren1, Kyle C Webert2, Katherine D McMahon3

  • 1Freshwater and Marine Sciences Program, University of Wisconsin-Madison, Madison, Wisconsin, USA.

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Environmental disturbances reduce variability in microbial communities, making their composition more predictable. This study quantifies microbial variability, showing repeatable responses to stressors that enhance ecological modeling capabilities.

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Area of Science:

  • Microbial Ecology
  • Environmental Science
  • Ecology

Background:

  • Accurately modeling microbial community composition shifts due to environmental factors is a key goal in microbial ecology.
  • Most studies focus on average population abundances, neglecting the drivers of population variability.
  • Understanding microbial population variability is crucial for developing predictive ecological models.

Purpose of the Study:

  • To experimentally investigate the impact of environmental disturbances on microbial population variability in periphyton communities.
  • To compare the responses of bacterial and diatom communities to various disturbance regimes, including multiple interactive disturbances.
  • To test the hypothesis that environmental stress acts as a deterministic force shaping microbial community composition through repeatable effects.

Main Methods:

  • Experimental disturbances were imposed on periphyton communities.
  • Variability of bacterial and diatom populations was analyzed under nine different disturbance regimes.
  • The interactive effects of multiple disturbances were assessed.

Main Results:

  • Environmental disturbances consistently led to reduced population variability in both bacterial and diatom communities.
  • Multiple disturbances exhibited interactive effects, where combined impacts differed from single-disturbance effects.
  • Environmental factors demonstrated repeatable effects on microbial populations, leading to more similar community compositions post-disturbance.

Conclusions:

  • Disturbances impose consistent constraints on microbial population abundances, increasing community predictability.
  • Quantifying microbial variability and demonstrating repeatable responses to stressors enhances the predictive framework of microbial ecology.
  • Environmental stressors can improve the ability of ecological models to capture microbial community dynamics due to their consistent effects.