The emergence of environmental homeostasis in complex ecosystems.

The Earth, with its core-driven magnetic field, convective mantle, mobile lid tectonics, oceans of liquid water, dynamic climate and abundant life is arguably the most complex system in the known universe. This system has exhibited stability in the sense of, bar a number of notable exceptions, surfa...

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Main Authors: James G Dyke, Iain S Weaver
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS Computational Biology
Online Access:http://europepmc.org/articles/PMC3656095?pdf=render
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spelling doaj-234c13e0a1c84e548b8082474bec4d272020-11-25T01:08:22ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582013-01-0195e100305010.1371/journal.pcbi.1003050The emergence of environmental homeostasis in complex ecosystems.James G DykeIain S WeaverThe Earth, with its core-driven magnetic field, convective mantle, mobile lid tectonics, oceans of liquid water, dynamic climate and abundant life is arguably the most complex system in the known universe. This system has exhibited stability in the sense of, bar a number of notable exceptions, surface temperature remaining within the bounds required for liquid water and so a significant biosphere. Explanations for this range from anthropic principles in which the Earth was essentially lucky, to homeostatic Gaia in which the abiotic and biotic components of the Earth system self-organise into homeostatic states that are robust to a wide range of external perturbations. Here we present results from a conceptual model that demonstrates the emergence of homeostasis as a consequence of the feedback loop operating between life and its environment. Formulating the model in terms of Gaussian processes allows the development of novel computational methods in order to provide solutions. We find that the stability of this system will typically increase then remain constant with an increase in biological diversity and that the number of attractors within the phase space exponentially increases with the number of environmental variables while the probability of the system being in an attractor that lies within prescribed boundaries decreases approximately linearly. We argue that the cybernetic concept of rein control provides insights into how this model system, and potentially any system that is comprised of biological to environmental feedback loops, self-organises into homeostatic states.http://europepmc.org/articles/PMC3656095?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author James G Dyke
Iain S Weaver
spellingShingle James G Dyke
Iain S Weaver
The emergence of environmental homeostasis in complex ecosystems.
PLoS Computational Biology
author_facet James G Dyke
Iain S Weaver
author_sort James G Dyke
title The emergence of environmental homeostasis in complex ecosystems.
title_short The emergence of environmental homeostasis in complex ecosystems.
title_full The emergence of environmental homeostasis in complex ecosystems.
title_fullStr The emergence of environmental homeostasis in complex ecosystems.
title_full_unstemmed The emergence of environmental homeostasis in complex ecosystems.
title_sort emergence of environmental homeostasis in complex ecosystems.
publisher Public Library of Science (PLoS)
series PLoS Computational Biology
issn 1553-734X
1553-7358
publishDate 2013-01-01
description The Earth, with its core-driven magnetic field, convective mantle, mobile lid tectonics, oceans of liquid water, dynamic climate and abundant life is arguably the most complex system in the known universe. This system has exhibited stability in the sense of, bar a number of notable exceptions, surface temperature remaining within the bounds required for liquid water and so a significant biosphere. Explanations for this range from anthropic principles in which the Earth was essentially lucky, to homeostatic Gaia in which the abiotic and biotic components of the Earth system self-organise into homeostatic states that are robust to a wide range of external perturbations. Here we present results from a conceptual model that demonstrates the emergence of homeostasis as a consequence of the feedback loop operating between life and its environment. Formulating the model in terms of Gaussian processes allows the development of novel computational methods in order to provide solutions. We find that the stability of this system will typically increase then remain constant with an increase in biological diversity and that the number of attractors within the phase space exponentially increases with the number of environmental variables while the probability of the system being in an attractor that lies within prescribed boundaries decreases approximately linearly. We argue that the cybernetic concept of rein control provides insights into how this model system, and potentially any system that is comprised of biological to environmental feedback loops, self-organises into homeostatic states.
url http://europepmc.org/articles/PMC3656095?pdf=render
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