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Darwinian Daisyworld

D Roberston1, J Robinson

  • 1Department of Geography, University of Western Australia, Perth, Western Australia.

Journal of Theoretical Biology
|November 6, 1998
PubMed
Summary
This summary is machine-generated.

Organisms can regulate the global environment through collective, non-conscious behavior, demonstrating the feasibility of the Gaia hypothesis. Adaptive evolution in Daisyworld reveals a trade-off between environmental regulation and genotypic adaptation.

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Area of Science:

  • Earth System Science
  • Evolutionary Biology
  • Theoretical Ecology

Background:

  • The Gaia hypothesis proposes that life collectively regulates Earth's environment.
  • The Daisyworld model simulates this by modeling interactions between vegetation and climate.
  • Previous models did not fully account for evolutionary adaptation of organisms.

Purpose of the Study:

  • To investigate the impact of adaptive evolution on the Daisyworld model's homeostatic capabilities.
  • To determine if evolving organisms enhance or diminish the planet's self-regulation.
  • To explore the interplay between collective environmental regulation and individual organism adaptation.

Main Methods:

  • Simulated Daisyworld with adaptive evolution.
  • Allowed daisy populations to evolve their optimal growth temperatures in response to prevailing climate.

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  • Analyzed the model's stability and regulatory capacity under evolving conditions.

    • Main Results:

    • Adaptive evolution of daisies influences the model's homeostatic stability.
    • A trade-off exists between the collective ability of organisms to regulate the environment and the adaptive capacity of evolving genotypes.
    • Evolving optimal temperatures can impact the long-term stability of the Daisyworld system.

    Conclusions:

    • Organisms can collectively regulate global environments without conscious intent, supporting Gaia theory.
    • Evolutionary adaptation presents a dynamic constraint on the extent of environmental regulation achievable by life.
    • Understanding this trade-off is crucial for predicting planetary habitability and climate dynamics.