Calculations of exergy for organisms

Detalhes bibliográficos
Autor(a) principal: Jørgensen, Sven Erik
Data de Publicação: 2005
Outros Autores: Ladegaard, Niels, Debeljak, Marko, Marques, João Carlos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/5369
Resumo: Exergy estimations based on biomass and information for organisms can with good approximation be found as: Ex = [beta]c, where c is the concentration of biomass and [beta] the weighting factor, that accounts for the information that the organisms carry [Jørgensen, S.E., 2002. Integration of Ecosystem Theories: A Pattern, vol. 432, 3rd ed. Kluwer Academic Publishing Company, Dordrecht, The Netherlands]. The determination of [beta] for various organisms has been based on the number of coding genes, but recent research has shown that some of the non-coding genes are crucial for the control, maintenance and development of the organisms. The results [Eichler, E.E., Sankoff, D., 2003. Structural dynamics of eukaryotic chromosome evolution. Science 301, 793-797.] of ongoing whole-genome projects have therefore be applied in order to obtain more accurate [beta]-values. These new [beta]-values are several times bigger than the previously applied values. The number of amino acids coding per gene has probably been underestimated in the previous calculations. However, applications of the former values, for instance in ecosystem health assessment, where exergy is used as ecological indicator (referred as exergy index) and in the development of structurally dynamic models, are still valid. Because the exergy calculations were applied only as relative measures.
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spelling Calculations of exergy for organismsEvolutionComplexityExergy estimations based on biomass and information for organisms can with good approximation be found as: Ex = [beta]c, where c is the concentration of biomass and [beta] the weighting factor, that accounts for the information that the organisms carry [Jørgensen, S.E., 2002. Integration of Ecosystem Theories: A Pattern, vol. 432, 3rd ed. Kluwer Academic Publishing Company, Dordrecht, The Netherlands]. The determination of [beta] for various organisms has been based on the number of coding genes, but recent research has shown that some of the non-coding genes are crucial for the control, maintenance and development of the organisms. The results [Eichler, E.E., Sankoff, D., 2003. Structural dynamics of eukaryotic chromosome evolution. Science 301, 793-797.] of ongoing whole-genome projects have therefore be applied in order to obtain more accurate [beta]-values. These new [beta]-values are several times bigger than the previously applied values. The number of amino acids coding per gene has probably been underestimated in the previous calculations. However, applications of the former values, for instance in ecosystem health assessment, where exergy is used as ecological indicator (referred as exergy index) and in the development of structurally dynamic models, are still valid. Because the exergy calculations were applied only as relative measures.http://www.sciencedirect.com/science/article/B6VBS-4FC3S0F-1/1/108077e1f9d4efb2be9f1929512584d12005info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleaplication/PDFhttp://hdl.handle.net/10316/5369http://hdl.handle.net/10316/5369engEcological Modelling. 185:2-4 (2005) 165-175Jørgensen, Sven ErikLadegaard, NielsDebeljak, MarkoMarques, João Carlosinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2020-05-27T16:14:51Zoai:estudogeral.uc.pt:10316/5369Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:55:24.957599Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Calculations of exergy for organisms
title Calculations of exergy for organisms
spellingShingle Calculations of exergy for organisms
Jørgensen, Sven Erik
Evolution
Complexity
title_short Calculations of exergy for organisms
title_full Calculations of exergy for organisms
title_fullStr Calculations of exergy for organisms
title_full_unstemmed Calculations of exergy for organisms
title_sort Calculations of exergy for organisms
author Jørgensen, Sven Erik
author_facet Jørgensen, Sven Erik
Ladegaard, Niels
Debeljak, Marko
Marques, João Carlos
author_role author
author2 Ladegaard, Niels
Debeljak, Marko
Marques, João Carlos
author2_role author
author
author
dc.contributor.author.fl_str_mv Jørgensen, Sven Erik
Ladegaard, Niels
Debeljak, Marko
Marques, João Carlos
dc.subject.por.fl_str_mv Evolution
Complexity
topic Evolution
Complexity
description Exergy estimations based on biomass and information for organisms can with good approximation be found as: Ex = [beta]c, where c is the concentration of biomass and [beta] the weighting factor, that accounts for the information that the organisms carry [Jørgensen, S.E., 2002. Integration of Ecosystem Theories: A Pattern, vol. 432, 3rd ed. Kluwer Academic Publishing Company, Dordrecht, The Netherlands]. The determination of [beta] for various organisms has been based on the number of coding genes, but recent research has shown that some of the non-coding genes are crucial for the control, maintenance and development of the organisms. The results [Eichler, E.E., Sankoff, D., 2003. Structural dynamics of eukaryotic chromosome evolution. Science 301, 793-797.] of ongoing whole-genome projects have therefore be applied in order to obtain more accurate [beta]-values. These new [beta]-values are several times bigger than the previously applied values. The number of amino acids coding per gene has probably been underestimated in the previous calculations. However, applications of the former values, for instance in ecosystem health assessment, where exergy is used as ecological indicator (referred as exergy index) and in the development of structurally dynamic models, are still valid. Because the exergy calculations were applied only as relative measures.
publishDate 2005
dc.date.none.fl_str_mv 2005
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/5369
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dc.relation.none.fl_str_mv Ecological Modelling. 185:2-4 (2005) 165-175
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