Energy constrains to increasing complexity in the biosphere

Thirty years ago, the systems ecologist Howard T. Odum introduced the concept of transformity, which is a thermodynamic measure of quality within the trial and error evolutionary dynamics of ecosystems, namely an indicator of rank in the hierarchical system structure of the biosphere. Based on a glo...

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Autores principales:	Gengyuan Liu, Zhifeng Yang, Biagio F. Giannetti, Marco Casazza, Feni Agostinho, Jiamin Pan, Ningyu Yan, Yan Hao, Lixiao Zhang, Cecilia M.V.B. Almeida, Francesco Gonella, Sergio Ulgiati, Mark T. Brown
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	complexity self-organizing system hierarchical structure energetic efficiency Science (General) Q1-390
Acceso en línea:	https://doaj.org/article/553864ae63d34c6c871222f1ae17b910
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id	oai:doaj.org-article:553864ae63d34c6c871222f1ae17b910
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spelling	oai:doaj.org-article:553864ae63d34c6c871222f1ae17b9102021-11-28T04:39:11ZEnergy constrains to increasing complexity in the biosphere2666-675810.1016/j.xinn.2021.100169https://doaj.org/article/553864ae63d34c6c871222f1ae17b9102021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2666675821000941https://doaj.org/toc/2666-6758Thirty years ago, the systems ecologist Howard T. Odum introduced the concept of transformity, which is a thermodynamic measure of quality within the trial and error evolutionary dynamics of ecosystems, namely an indicator of rank in the hierarchical system structure of the biosphere. Based on a global database of individual processes and whole economies, this paper extends, refines, and updates Odum's idea, demonstrating the strength of the postulated relation. In particular, an inverse linear logarithmic relationship is shown to hold between resource quantity (exergy) and quality (emergy), which is the result of an overall energetic efficiency characteristic of energy transformation processes of the biosphere. This relation extends from natural renewable energy sources to human information (including global internet data flows) and know-how embedded in national economies, thus identifying a consistent theory of hierarchical organization of the biosphere grounded in energetics and ultimately setting constraints to illusions of unlimited growth.Gengyuan LiuZhifeng YangBiagio F. GiannettiMarco CasazzaFeni AgostinhoJiamin PanNingyu YanYan HaoLixiao ZhangCecilia M.V.B. AlmeidaFrancesco GonellaSergio UlgiatiMark T. BrownElsevierarticlecomplexityself-organizing systemhierarchical structureenergetic efficiencyScience (General)Q1-390ENThe Innovation, Vol 2, Iss 4, Pp 100169- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	complexity self-organizing system hierarchical structure energetic efficiency Science (General) Q1-390
spellingShingle	complexity self-organizing system hierarchical structure energetic efficiency Science (General) Q1-390 Gengyuan Liu Zhifeng Yang Biagio F. Giannetti Marco Casazza Feni Agostinho Jiamin Pan Ningyu Yan Yan Hao Lixiao Zhang Cecilia M.V.B. Almeida Francesco Gonella Sergio Ulgiati Mark T. Brown Energy constrains to increasing complexity in the biosphere
description	Thirty years ago, the systems ecologist Howard T. Odum introduced the concept of transformity, which is a thermodynamic measure of quality within the trial and error evolutionary dynamics of ecosystems, namely an indicator of rank in the hierarchical system structure of the biosphere. Based on a global database of individual processes and whole economies, this paper extends, refines, and updates Odum's idea, demonstrating the strength of the postulated relation. In particular, an inverse linear logarithmic relationship is shown to hold between resource quantity (exergy) and quality (emergy), which is the result of an overall energetic efficiency characteristic of energy transformation processes of the biosphere. This relation extends from natural renewable energy sources to human information (including global internet data flows) and know-how embedded in national economies, thus identifying a consistent theory of hierarchical organization of the biosphere grounded in energetics and ultimately setting constraints to illusions of unlimited growth.
format	article
author	Gengyuan Liu Zhifeng Yang Biagio F. Giannetti Marco Casazza Feni Agostinho Jiamin Pan Ningyu Yan Yan Hao Lixiao Zhang Cecilia M.V.B. Almeida Francesco Gonella Sergio Ulgiati Mark T. Brown
author_facet	Gengyuan Liu Zhifeng Yang Biagio F. Giannetti Marco Casazza Feni Agostinho Jiamin Pan Ningyu Yan Yan Hao Lixiao Zhang Cecilia M.V.B. Almeida Francesco Gonella Sergio Ulgiati Mark T. Brown
author_sort	Gengyuan Liu
title	Energy constrains to increasing complexity in the biosphere
title_short	Energy constrains to increasing complexity in the biosphere
title_full	Energy constrains to increasing complexity in the biosphere
title_fullStr	Energy constrains to increasing complexity in the biosphere
title_full_unstemmed	Energy constrains to increasing complexity in the biosphere
title_sort	energy constrains to increasing complexity in the biosphere
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/553864ae63d34c6c871222f1ae17b910
work_keys_str_mv	AT gengyuanliu energyconstrainstoincreasingcomplexityinthebiosphere AT zhifengyang energyconstrainstoincreasingcomplexityinthebiosphere AT biagiofgiannetti energyconstrainstoincreasingcomplexityinthebiosphere AT marcocasazza energyconstrainstoincreasingcomplexityinthebiosphere AT feniagostinho energyconstrainstoincreasingcomplexityinthebiosphere AT jiaminpan energyconstrainstoincreasingcomplexityinthebiosphere AT ningyuyan energyconstrainstoincreasingcomplexityinthebiosphere AT yanhao energyconstrainstoincreasingcomplexityinthebiosphere AT lixiaozhang energyconstrainstoincreasingcomplexityinthebiosphere AT ceciliamvbalmeida energyconstrainstoincreasingcomplexityinthebiosphere AT francescogonella energyconstrainstoincreasingcomplexityinthebiosphere AT sergioulgiati energyconstrainstoincreasingcomplexityinthebiosphere AT marktbrown energyconstrainstoincreasingcomplexityinthebiosphere
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Energy constrains to increasing complexity in the biosphere

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