Literature DB >> 10968941

Daisyworld is Darwinian: constraints on adaptation are important for planetary self-regulation.

T M Lenton1, J E Lovelock.   

Abstract

The Daisyworld model demonstrates that self-regulation of the global environment can emerge from competition amongst types of life altering their local environment in different ways. Robertson & Robinson (1998. J. theor. Biol.195, 129-134) presented what they describe as a "Darwinian Daisyworld" in which the ability of organisms to adapt their internal physiology in response to environmental change undermines their ability to regulate their environment. They assume that there are no bounds on the environmental conditions that organisms can adapt to and that equal growth rates can potentially be achieved under any conditions. If adaptation could respond sufficiently rapidly to changes in the environment, this would eliminate any need for the environment to be regulated in the first place, because all possible states of the environment would be equally tolerable to life. However, the thermodynamics, chemistry and structure of living organisms set bounds on the range of environmental conditions that can be adapted to. As these bounds are approached, environmental conditions limit growth rate, and adaptations necessary for survival can also cost energy. Here we take account of such constraints and find that environmental regulation is recovered in the Daisyworld model. Hence, we suggest that constraints are an important part of a self-regulating planetary system. Copyright 2000 Academic Press.

Mesh:

Year:  2000        PMID: 10968941     DOI: 10.1006/jtbi.2000.2105

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  2 in total

1.  Gaia as a complex adaptive system.

Authors:  Timothy M Lenton; Marcel van Oijen
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2002-05-29       Impact factor: 6.237

2.  The emergence of environmental homeostasis in complex ecosystems.

Authors:  James G Dyke; Iain S Weaver
Journal:  PLoS Comput Biol       Date:  2013-05-16       Impact factor: 4.475

  2 in total

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