Assessing environmental quality: a novel approach

Detalhes bibliográficos
Autor(a) principal: Pardal, M. A.
Data de Publicação: 2004
Outros Autores: Cardoso, P. G., Sousa, J. P., Marques, J. C., Raffaelli, D.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/13111
https://doi.org/10.3354/meps267001
Resumo: A new approach to assess environmental integrity based on PRC analysis was proposed, tested, validated and developed. Environmental health assessment and community studies usually result in complex biological data sets. In order to find ecologically relevant patterns and tendencies from such sets of data it is necessary to reduce all the information to a summarised and simplified form, which might be more easily interpreted by ecologists, politicians, end-users and the population in general. However, several multivariate ordination methods currently used (e.g. redundancy analysis, principal component analysis, or multi-dimensional scaling) produce complex diagrams for the non-ecologist, which do not allow changes in biological communities over time to be easily understood. Here, we propose a recently developed method, principal response curves (PRC) analysis, to overcome these issues. This method has advantages over traditional ordination techniques, or any biotic index, in that it provides a powerful statistical analysis of temporal data series along spatial gradients. The PRC technique can make use of non-disturbed or unpolluted areas as reference sites with which other areas are compared, making it possible to assess changes in species composition between different areas over time. Moreover, individual species responses to stress agents can be inferred from the PRC curves. As well as providing insights into the behaviour of natural ecosystems‹in particular, how ecosystem integrity changes over time‹this new approach can potentially provide a practical tool for monitoring and implementing environmental policy instruments
id RCAP_138f4baabe9f791d72c78aeba0582b58
oai_identifier_str oai:estudogeral.uc.pt:10316/13111
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Assessing environmental quality: a novel approachEnvironmental integrityEnvironmental healthPRC analysisCommunity studiesA new approach to assess environmental integrity based on PRC analysis was proposed, tested, validated and developed. Environmental health assessment and community studies usually result in complex biological data sets. In order to find ecologically relevant patterns and tendencies from such sets of data it is necessary to reduce all the information to a summarised and simplified form, which might be more easily interpreted by ecologists, politicians, end-users and the population in general. However, several multivariate ordination methods currently used (e.g. redundancy analysis, principal component analysis, or multi-dimensional scaling) produce complex diagrams for the non-ecologist, which do not allow changes in biological communities over time to be easily understood. Here, we propose a recently developed method, principal response curves (PRC) analysis, to overcome these issues. This method has advantages over traditional ordination techniques, or any biotic index, in that it provides a powerful statistical analysis of temporal data series along spatial gradients. The PRC technique can make use of non-disturbed or unpolluted areas as reference sites with which other areas are compared, making it possible to assess changes in species composition between different areas over time. Moreover, individual species responses to stress agents can be inferred from the PRC curves. As well as providing insights into the behaviour of natural ecosystems‹in particular, how ecosystem integrity changes over time‹this new approach can potentially provide a practical tool for monitoring and implementing environmental policy instrumentsInter-Research2004-02-19info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/13111http://hdl.handle.net/10316/13111https://doi.org/10.3354/meps267001engMarine Ecology Progress Series. 267 (2000) 1-80171-8630Pardal, M. A.Cardoso, P. G.Sousa, J. P.Marques, J. C.Raffaelli, D.info: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:RCAAP2020-11-06T17:00:28Zoai:estudogeral.uc.pt:10316/13111Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:55:54.812926Repositório 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 Assessing environmental quality: a novel approach
title Assessing environmental quality: a novel approach
spellingShingle Assessing environmental quality: a novel approach
Pardal, M. A.
Environmental integrity
Environmental health
PRC analysis
Community studies
title_short Assessing environmental quality: a novel approach
title_full Assessing environmental quality: a novel approach
title_fullStr Assessing environmental quality: a novel approach
title_full_unstemmed Assessing environmental quality: a novel approach
title_sort Assessing environmental quality: a novel approach
author Pardal, M. A.
author_facet Pardal, M. A.
Cardoso, P. G.
Sousa, J. P.
Marques, J. C.
Raffaelli, D.
author_role author
author2 Cardoso, P. G.
Sousa, J. P.
Marques, J. C.
Raffaelli, D.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Pardal, M. A.
Cardoso, P. G.
Sousa, J. P.
Marques, J. C.
Raffaelli, D.
dc.subject.por.fl_str_mv Environmental integrity
Environmental health
PRC analysis
Community studies
topic Environmental integrity
Environmental health
PRC analysis
Community studies
description A new approach to assess environmental integrity based on PRC analysis was proposed, tested, validated and developed. Environmental health assessment and community studies usually result in complex biological data sets. In order to find ecologically relevant patterns and tendencies from such sets of data it is necessary to reduce all the information to a summarised and simplified form, which might be more easily interpreted by ecologists, politicians, end-users and the population in general. However, several multivariate ordination methods currently used (e.g. redundancy analysis, principal component analysis, or multi-dimensional scaling) produce complex diagrams for the non-ecologist, which do not allow changes in biological communities over time to be easily understood. Here, we propose a recently developed method, principal response curves (PRC) analysis, to overcome these issues. This method has advantages over traditional ordination techniques, or any biotic index, in that it provides a powerful statistical analysis of temporal data series along spatial gradients. The PRC technique can make use of non-disturbed or unpolluted areas as reference sites with which other areas are compared, making it possible to assess changes in species composition between different areas over time. Moreover, individual species responses to stress agents can be inferred from the PRC curves. As well as providing insights into the behaviour of natural ecosystems‹in particular, how ecosystem integrity changes over time‹this new approach can potentially provide a practical tool for monitoring and implementing environmental policy instruments
publishDate 2004
dc.date.none.fl_str_mv 2004-02-19
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/10316/13111
http://hdl.handle.net/10316/13111
https://doi.org/10.3354/meps267001
url http://hdl.handle.net/10316/13111
https://doi.org/10.3354/meps267001
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Marine Ecology Progress Series. 267 (2000) 1-8
0171-8630
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Inter-Research
publisher.none.fl_str_mv Inter-Research
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_ 1799133844934230016