A multi-scale approach to modelling spatial and dynamic ecological patterns for reservoir’s water quality management.
Autor(a) principal: | |
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Data de Publicação: | 2009 |
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/10348/4313 |
Resumo: | With growing levels of urbanization and agriculture throughout the world, it is increasingly important that both research and management efforts take into account the effects of this widespread landscape alteration and its consequences for natural systems. Freshwater ecosystems, namely reservoirs, are particularly sensitive to land use changes. In this context, modelling can be very useful, for decision support, as an investigative tool to forecast the outcome of various scenarios, to guide current management in order to meet future targets and to develop integrated frameworks for management accordingly to the Water Framework Directive (WFD). The present paper examined the applicability of a holistic Stochastic- Dynamic Methodology (StDM), coupled with a Cellular Automata (CA) model, in capturing howexpected changes at land use level will alter the ecological status of lentic ecosystems, namely at physicochemical and biological levels. The methodology was applied to Portuguese reservoirs located in the Douro’s basin and illustrated with a series of stochastic-dynamic and spatial outputs taking into account expected scenarios regarding land use changes. Overall, the simulation results are encouraging since they seem to demonstrate the tool reliability in capturing the stochastic environmental dynamics of the selected metrics facing spatial explicit scenarios. The ultimate goal was to couple monitoring assessment and the described modelling techniques to ease management and decision making regarding the practical implementation of the WFD, both at the scale of the reservoir body and at the scale of the respective river watershed dynamics. |
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A multi-scale approach to modelling spatial and dynamic ecological patterns for reservoir’s water quality management.Stochastic-Dynamic MethodologyGISLand use changesEcological statusPhytoplanktonEcological indicatorsWater Framework DirectiveEnvironmental managementReservoirsWith growing levels of urbanization and agriculture throughout the world, it is increasingly important that both research and management efforts take into account the effects of this widespread landscape alteration and its consequences for natural systems. Freshwater ecosystems, namely reservoirs, are particularly sensitive to land use changes. In this context, modelling can be very useful, for decision support, as an investigative tool to forecast the outcome of various scenarios, to guide current management in order to meet future targets and to develop integrated frameworks for management accordingly to the Water Framework Directive (WFD). The present paper examined the applicability of a holistic Stochastic- Dynamic Methodology (StDM), coupled with a Cellular Automata (CA) model, in capturing howexpected changes at land use level will alter the ecological status of lentic ecosystems, namely at physicochemical and biological levels. The methodology was applied to Portuguese reservoirs located in the Douro’s basin and illustrated with a series of stochastic-dynamic and spatial outputs taking into account expected scenarios regarding land use changes. Overall, the simulation results are encouraging since they seem to demonstrate the tool reliability in capturing the stochastic environmental dynamics of the selected metrics facing spatial explicit scenarios. The ultimate goal was to couple monitoring assessment and the described modelling techniques to ease management and decision making regarding the practical implementation of the WFD, both at the scale of the reservoir body and at the scale of the respective river watershed dynamics.2015-03-17T15:21:21Z2009-01-01T00:00:00Z2009info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10348/4313engdoi:10.1016/j.ecolmodel.2009.06.011metadata only accessinfo:eu-repo/semantics/openAccessCabecinha, EdnaLourenço, MartinhoMoura, João PauloPardal, Miguel Ângeloreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-02T13:00:33Zoai:repositorio.utad.pt:10348/4313Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:07:10.319126Repositório 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 |
A multi-scale approach to modelling spatial and dynamic ecological patterns for reservoir’s water quality management. |
title |
A multi-scale approach to modelling spatial and dynamic ecological patterns for reservoir’s water quality management. |
spellingShingle |
A multi-scale approach to modelling spatial and dynamic ecological patterns for reservoir’s water quality management. Cabecinha, Edna Stochastic-Dynamic Methodology GIS Land use changes Ecological status Phytoplankton Ecological indicators Water Framework Directive Environmental management Reservoirs |
title_short |
A multi-scale approach to modelling spatial and dynamic ecological patterns for reservoir’s water quality management. |
title_full |
A multi-scale approach to modelling spatial and dynamic ecological patterns for reservoir’s water quality management. |
title_fullStr |
A multi-scale approach to modelling spatial and dynamic ecological patterns for reservoir’s water quality management. |
title_full_unstemmed |
A multi-scale approach to modelling spatial and dynamic ecological patterns for reservoir’s water quality management. |
title_sort |
A multi-scale approach to modelling spatial and dynamic ecological patterns for reservoir’s water quality management. |
author |
Cabecinha, Edna |
author_facet |
Cabecinha, Edna Lourenço, Martinho Moura, João Paulo Pardal, Miguel Ângelo |
author_role |
author |
author2 |
Lourenço, Martinho Moura, João Paulo Pardal, Miguel Ângelo |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Cabecinha, Edna Lourenço, Martinho Moura, João Paulo Pardal, Miguel Ângelo |
dc.subject.por.fl_str_mv |
Stochastic-Dynamic Methodology GIS Land use changes Ecological status Phytoplankton Ecological indicators Water Framework Directive Environmental management Reservoirs |
topic |
Stochastic-Dynamic Methodology GIS Land use changes Ecological status Phytoplankton Ecological indicators Water Framework Directive Environmental management Reservoirs |
description |
With growing levels of urbanization and agriculture throughout the world, it is increasingly important that both research and management efforts take into account the effects of this widespread landscape alteration and its consequences for natural systems. Freshwater ecosystems, namely reservoirs, are particularly sensitive to land use changes. In this context, modelling can be very useful, for decision support, as an investigative tool to forecast the outcome of various scenarios, to guide current management in order to meet future targets and to develop integrated frameworks for management accordingly to the Water Framework Directive (WFD). The present paper examined the applicability of a holistic Stochastic- Dynamic Methodology (StDM), coupled with a Cellular Automata (CA) model, in capturing howexpected changes at land use level will alter the ecological status of lentic ecosystems, namely at physicochemical and biological levels. The methodology was applied to Portuguese reservoirs located in the Douro’s basin and illustrated with a series of stochastic-dynamic and spatial outputs taking into account expected scenarios regarding land use changes. Overall, the simulation results are encouraging since they seem to demonstrate the tool reliability in capturing the stochastic environmental dynamics of the selected metrics facing spatial explicit scenarios. The ultimate goal was to couple monitoring assessment and the described modelling techniques to ease management and decision making regarding the practical implementation of the WFD, both at the scale of the reservoir body and at the scale of the respective river watershed dynamics. |
publishDate |
2009 |
dc.date.none.fl_str_mv |
2009-01-01T00:00:00Z 2009 2015-03-17T15:21:21Z |
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/10348/4313 |
url |
http://hdl.handle.net/10348/4313 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
doi:10.1016/j.ecolmodel.2009.06.011 |
dc.rights.driver.fl_str_mv |
metadata only access info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
metadata only access |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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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 |
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1799137160297709568 |