Macroecological patterns in experimental microbial communities.

Area of Science:

• Microbial ecology
• Macroecology
• Ecological modeling

Background:

• Macroecology studies biodiversity patterns across communities.
• Microbial ecology uses macroecological approaches to model diversity and abundance.
• High-replication time-series experiments investigate ecological forces.

Purpose of the Study:

• To bridge the gap between laboratory experiments and macroecological patterns in natural systems.
• To determine if microbial macroecological patterns are recapitulated in controlled laboratory settings.
• To investigate the macroecological effects of experimental manipulations.

Main Methods:

• Utilized high-replication microbial community time-series experiments.
• Applied the Stochastic Logistic Model (SLM) to unify observed patterns.
• Modified the SLM to include demographic manipulations and experimental details.

Main Results:

• Microbial macroecological patterns observed in nature were reproduced in laboratory experiments.
• Demographic manipulations, such as migration, were shown to influence macroecological patterns.
• Modified SLM predictions aligned with observed macroecological outcomes.

Conclusions:

• Microbial macroecology patterns are present in laboratory settings.
• Experimental manipulations can yield macroecological effects.
• Integrating experiments with ecological models positions microbial macroecology as a predictive science.