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Microbes, mathematics, and models.

Maureen A O'Malley1, Emily C Parke2

  • 1University of Bordeaux, France; University of Sydney, HPS, Carslaw Building, NSW, 2006, Australia.

Studies in History and Philosophy of Science
|December 1, 2018
PubMed
Summary
This summary is machine-generated.

Microbial models and mathematical equations are compared to understand species competition. This iterative comparison reveals how different modeling approaches enhance scientific understanding and epistemic tractability.

Keywords:
CoexistenceCompetitive exclusionExperimental systemsMicrobial model systemsModelsRobustness analysis

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Area of Science:

  • Ecology
  • Evolutionary Biology
  • Microbiology
  • Philosophy of Science

Background:

  • Microbial model systems are extensively used in evolutionary and ecological research.
  • Mathematical and computational models are crucial for studying species dynamics.
  • Understanding the interplay between different modeling approaches is key to advancing scientific insight.

Purpose of the Study:

  • To examine the historical development of mathematical and material models of competitive exclusion and species coexistence.
  • To investigate the interactions between microbial models and mathematical/computational models of ecological dynamics.
  • To illuminate how microbial systems and equations function as models and handle inconsistent findings.

Main Methods:

  • Historical analysis of modeling practices in ecology and evolution.
  • Comparative study of microbial systems and mathematical models for species competition.
  • Examination of case studies where microbial and mathematical models yield divergent results.

Main Results:

  • Microbial systems and mathematical equations serve as complementary models for studying ecological dynamics.
  • Inconsistent findings between different model types highlight areas for further research and refinement.
  • An iterative strategy of comparative modeling across diverse media (microbial and mathematical) was identified.

Conclusions:

  • Microbial models offer unique epistemic tractability in multifaceted scientific inquiry.
  • Comparative modeling across different systems and formalisms enhances understanding of complex ecological phenomena.
  • The integration of empirical microbial systems with theoretical models is a powerful strategy for advancing ecological and evolutionary theory.