Calculations of exergy for organisms
Autor(a) principal: | |
---|---|
Data de Publicação: | 2005 |
Outros Autores: | , , |
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. |
id |
RCAP_46556f580357234be7469db10910bf9b |
---|---|
oai_identifier_str |
oai:estudogeral.uc.pt:10316/5369 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
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 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10316/5369 http://hdl.handle.net/10316/5369 |
url |
http://hdl.handle.net/10316/5369 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Ecological Modelling. 185:2-4 (2005) 165-175 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
aplication/PDF |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799133841606049792 |