Converting simple vegetation surveys in functional dynamics
Autor(a) principal: | |
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Data de Publicação: | 2013 |
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/10348/4303 |
Resumo: | This study assessed an integrated method for estimating the structural and functional trends of Mediterranean vegetation based on simple field characterizations. Despite considerable effort made by scientists to estimate vegetation dynamics, most methods are too complex to be applied and quantification achieved by non-specialists. We propose an alternative approach that converts simple measures such as generic vegetation cover into life forms or life traits. We used the Stochastic Dynamic Methodology, a dynamic approach based on a sequential process, to calculate the functional response to succession and anthropogenic disturbances using Raunkiaer’s life form spectra. Using derived scenarios, the model was able to successfully translate functional and structural trends from simple field descriptions. The simulations demonstrate that this methodology can be used in environmental studies, particularly when specialised field botanists are not available. |
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Converting simple vegetation surveys in functional dynamicsMediterranean vegetationSimple field characterizationsRaunkiaer’s life form spectraSuccessionAnthropogenic disturbancesStochastic-dynamic methodologyThis study assessed an integrated method for estimating the structural and functional trends of Mediterranean vegetation based on simple field characterizations. Despite considerable effort made by scientists to estimate vegetation dynamics, most methods are too complex to be applied and quantification achieved by non-specialists. We propose an alternative approach that converts simple measures such as generic vegetation cover into life forms or life traits. We used the Stochastic Dynamic Methodology, a dynamic approach based on a sequential process, to calculate the functional response to succession and anthropogenic disturbances using Raunkiaer’s life form spectra. Using derived scenarios, the model was able to successfully translate functional and structural trends from simple field descriptions. The simulations demonstrate that this methodology can be used in environmental studies, particularly when specialised field botanists are not available.2015-03-17T14:19:05Z2013-01-01T00:00:00Z2013info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10348/4303engdoi: 10.1016/j.actao.2013.01.011metadata only accessinfo:eu-repo/semantics/openAccessFernandes, CláudiaCabral, João AlexandreCrespí, António LuísHughes, Samantha JaneSantos, Márioreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-02T12:49:38Zoai:repositorio.utad.pt:10348/4303Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:04:54.479198Repositório 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 |
Converting simple vegetation surveys in functional dynamics |
title |
Converting simple vegetation surveys in functional dynamics |
spellingShingle |
Converting simple vegetation surveys in functional dynamics Fernandes, Cláudia Mediterranean vegetation Simple field characterizations Raunkiaer’s life form spectra Succession Anthropogenic disturbances Stochastic-dynamic methodology |
title_short |
Converting simple vegetation surveys in functional dynamics |
title_full |
Converting simple vegetation surveys in functional dynamics |
title_fullStr |
Converting simple vegetation surveys in functional dynamics |
title_full_unstemmed |
Converting simple vegetation surveys in functional dynamics |
title_sort |
Converting simple vegetation surveys in functional dynamics |
author |
Fernandes, Cláudia |
author_facet |
Fernandes, Cláudia Cabral, João Alexandre Crespí, António Luís Hughes, Samantha Jane Santos, Mário |
author_role |
author |
author2 |
Cabral, João Alexandre Crespí, António Luís Hughes, Samantha Jane Santos, Mário |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Fernandes, Cláudia Cabral, João Alexandre Crespí, António Luís Hughes, Samantha Jane Santos, Mário |
dc.subject.por.fl_str_mv |
Mediterranean vegetation Simple field characterizations Raunkiaer’s life form spectra Succession Anthropogenic disturbances Stochastic-dynamic methodology |
topic |
Mediterranean vegetation Simple field characterizations Raunkiaer’s life form spectra Succession Anthropogenic disturbances Stochastic-dynamic methodology |
description |
This study assessed an integrated method for estimating the structural and functional trends of Mediterranean vegetation based on simple field characterizations. Despite considerable effort made by scientists to estimate vegetation dynamics, most methods are too complex to be applied and quantification achieved by non-specialists. We propose an alternative approach that converts simple measures such as generic vegetation cover into life forms or life traits. We used the Stochastic Dynamic Methodology, a dynamic approach based on a sequential process, to calculate the functional response to succession and anthropogenic disturbances using Raunkiaer’s life form spectra. Using derived scenarios, the model was able to successfully translate functional and structural trends from simple field descriptions. The simulations demonstrate that this methodology can be used in environmental studies, particularly when specialised field botanists are not available. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-01-01T00:00:00Z 2013 2015-03-17T14:19:05Z |
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/10348/4303 |
url |
http://hdl.handle.net/10348/4303 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
doi: 10.1016/j.actao.2013.01.011 |
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 |
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 |
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1799137135969697792 |