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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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. |
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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.</description><identifier>ISSN: 1553-7358</identifier><identifier>ISSN: 1553-734X</identifier><identifier>EISSN: 1553-7358</identifier><identifier>DOI: 10.1371/journal.pcbi.1003050</identifier><identifier>PMID: 23696719</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Biology ; Biosphere ; Climate change ; Computational Biology ; Computer Science ; Computer Simulation ; Earth ; Earth (Planet) ; Ecosystem ; Ecosystems ; Environmental conditions ; Gaussian processes ; Homeostasis ; Hypotheses ; Mathematics ; Models, Biological ; Studies</subject><ispartof>PLoS computational biology, 2013-05, Vol.9 (5), p.e1003050-e1003050</ispartof><rights>COPYRIGHT 2013 Public Library of Science</rights><rights>2013 Dyke, Weaver 2013 Dyke, Weaver</rights><rights>2013 Dyke, Weaver. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Dyke JG, Weaver IS (2013) The Emergence of Environmental Homeostasis in Complex Ecosystems. 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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.</description><subject>Biology</subject><subject>Biosphere</subject><subject>Climate change</subject><subject>Computational Biology</subject><subject>Computer Science</subject><subject>Computer Simulation</subject><subject>Earth</subject><subject>Earth (Planet)</subject><subject>Ecosystem</subject><subject>Ecosystems</subject><subject>Environmental conditions</subject><subject>Gaussian processes</subject><subject>Homeostasis</subject><subject>Hypotheses</subject><subject>Mathematics</subject><subject>Models, Biological</subject><subject>Studies</subject><issn>1553-7358</issn><issn>1553-734X</issn><issn>1553-7358</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>DOA</sourceid><recordid>eNqVkk1v1DAQhiMEoqXwDxBE4gKHXez4-4KoKj5WqkCCcrYcZ5L1KrEXO1u1_x6HTatG4oJ8sDV-5vXM-C2KlxitMRH4_S4cojf9em9rt8YIEcTQo-IUM0ZWgjD5-MH5pHiW0i4zTCr-tDipCFdcYHVafLzaQgkDxA68hTK0JfhrF4MfwI-mL7dhgJBGk1wqnS9tGPY93JRgQ7pNIwzpefGkNX2CF_N-Vvz6_Onq4uvq8vuXzcX55cpypcYVV1a2yNSGSoZ5o0BSDiaX3VoKnBKsADFB24YyW7cSY2I5FYjy1tiaGUrOitdH3X0fkp6bTxoTLjlmilaZ2ByJJpid3kc3mHirg3H6byDETps4OtuDrgi1mAAy2EoKjMpaIllRQWuwtKlE1vowv3aoB2hsHkY0_UJ0eePdVnfhWhPOOFIsC7ydBWL4fYA06sElC31vPITDVDejQlWUy4y-OaKdyaU534asaCdcnxNCK8GFmvpf_4PKq4HB2eChdTm-SHi3SMjMCDdjZw4p6c3PH__Bfluy9MjaGFKK0N5PBSM9OfPuc_TkTD07M6e9ejjR-6Q7K5I_IUDe0g</recordid><startdate>20130501</startdate><enddate>20130501</enddate><creator>Dyke, James G</creator><creator>Weaver, Iain S</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ISN</scope><scope>ISR</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20130501</creationdate><title>The emergence of environmental homeostasis in complex ecosystems</title><author>Dyke, James G ; Weaver, Iain S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c699t-69c8f0aba48516d9e846ea100fc4e64319e0574fd45cbf8113c647046facb5a43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Biology</topic><topic>Biosphere</topic><topic>Climate change</topic><topic>Computational Biology</topic><topic>Computer Science</topic><topic>Computer Simulation</topic><topic>Earth</topic><topic>Earth (Planet)</topic><topic>Ecosystem</topic><topic>Ecosystems</topic><topic>Environmental conditions</topic><topic>Gaussian processes</topic><topic>Homeostasis</topic><topic>Hypotheses</topic><topic>Mathematics</topic><topic>Models, Biological</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dyke, James G</creatorcontrib><creatorcontrib>Weaver, Iain S</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Canada</collection><collection>Gale In Context: Science</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PLoS computational biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dyke, James G</au><au>Weaver, Iain S</au><au>Levin, Simon A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The emergence of environmental homeostasis in complex ecosystems</atitle><jtitle>PLoS computational biology</jtitle><addtitle>PLoS Comput Biol</addtitle><date>2013-05-01</date><risdate>2013</risdate><volume>9</volume><issue>5</issue><spage>e1003050</spage><epage>e1003050</epage><pages>e1003050-e1003050</pages><issn>1553-7358</issn><issn>1553-734X</issn><eissn>1553-7358</eissn><abstract>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. 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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.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>23696719</pmid><doi>10.1371/journal.pcbi.1003050</doi><oa>free_for_read</oa></addata></record> |
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subjects | Biology Biosphere Climate change Computational Biology Computer Science Computer Simulation Earth Earth (Planet) Ecosystem Ecosystems Environmental conditions Gaussian processes Homeostasis Hypotheses Mathematics Models, Biological Studies |
title | The emergence of environmental homeostasis in complex ecosystems |
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