Predicting trends of invasive plants richness using local socio-economic data: An application in North Portugal.
Autor(a) principal: | |
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Data de Publicação: | 2011 |
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/10348/4308 |
Resumo: | This study assesses the potential of an integrated methodology for predicting local trends in invasive exotic plant species (invasive richness) using indirect, regional information on human disturbance. The distribution of invasive plants was assessed in North Portugal using herbarium collections and local environmental, geophysical and socio-economic characteristics. Invasive richness response to anthropogenic disturbance was predicted using a dynamic model based on a sequential modeling process (stochastic dynamic methodology—StDM). Derived scenarios showed that invasive richness trends were clearly associated with ongoing socio-economic change. Simulations including scenarios of growing urbanization showed an increase in invasive richness while simulations in municipalities with decreasing populations showed stable or decreasing levels of invasive richness. The model simulations demonstrate the interest and feasibility of using this methodology in disturbance ecology. |
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Predicting trends of invasive plants richness using local socio-economic data: An application in North Portugal.Stochastic dynamic methodologyInvasive plant richnessGeophysical parametersSocio-economic trendsDisturbance ecologyThis study assesses the potential of an integrated methodology for predicting local trends in invasive exotic plant species (invasive richness) using indirect, regional information on human disturbance. The distribution of invasive plants was assessed in North Portugal using herbarium collections and local environmental, geophysical and socio-economic characteristics. Invasive richness response to anthropogenic disturbance was predicted using a dynamic model based on a sequential modeling process (stochastic dynamic methodology—StDM). Derived scenarios showed that invasive richness trends were clearly associated with ongoing socio-economic change. Simulations including scenarios of growing urbanization showed an increase in invasive richness while simulations in municipalities with decreasing populations showed stable or decreasing levels of invasive richness. The model simulations demonstrate the interest and feasibility of using this methodology in disturbance ecology.2015-03-17T15:09:18Z2011-01-01T00:00:00Z2011info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10348/4308engdoi:10.1016/j.envres.2011.03.014metadata only accessinfo:eu-repo/semantics/openAccessSantos, MárioFreitas, RaulCrespí, António LuísHughes, Samantha JaneCabral, João Alexandrereponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-02T12:41:26Zoai:repositorio.utad.pt:10348/4308Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:02:52.886347Repositório 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 |
Predicting trends of invasive plants richness using local socio-economic data: An application in North Portugal. |
title |
Predicting trends of invasive plants richness using local socio-economic data: An application in North Portugal. |
spellingShingle |
Predicting trends of invasive plants richness using local socio-economic data: An application in North Portugal. Santos, Mário Stochastic dynamic methodology Invasive plant richness Geophysical parameters Socio-economic trends Disturbance ecology |
title_short |
Predicting trends of invasive plants richness using local socio-economic data: An application in North Portugal. |
title_full |
Predicting trends of invasive plants richness using local socio-economic data: An application in North Portugal. |
title_fullStr |
Predicting trends of invasive plants richness using local socio-economic data: An application in North Portugal. |
title_full_unstemmed |
Predicting trends of invasive plants richness using local socio-economic data: An application in North Portugal. |
title_sort |
Predicting trends of invasive plants richness using local socio-economic data: An application in North Portugal. |
author |
Santos, Mário |
author_facet |
Santos, Mário Freitas, Raul Crespí, António Luís Hughes, Samantha Jane Cabral, João Alexandre |
author_role |
author |
author2 |
Freitas, Raul Crespí, António Luís Hughes, Samantha Jane Cabral, João Alexandre |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Santos, Mário Freitas, Raul Crespí, António Luís Hughes, Samantha Jane Cabral, João Alexandre |
dc.subject.por.fl_str_mv |
Stochastic dynamic methodology Invasive plant richness Geophysical parameters Socio-economic trends Disturbance ecology |
topic |
Stochastic dynamic methodology Invasive plant richness Geophysical parameters Socio-economic trends Disturbance ecology |
description |
This study assesses the potential of an integrated methodology for predicting local trends in invasive exotic plant species (invasive richness) using indirect, regional information on human disturbance. The distribution of invasive plants was assessed in North Portugal using herbarium collections and local environmental, geophysical and socio-economic characteristics. Invasive richness response to anthropogenic disturbance was predicted using a dynamic model based on a sequential modeling process (stochastic dynamic methodology—StDM). Derived scenarios showed that invasive richness trends were clearly associated with ongoing socio-economic change. Simulations including scenarios of growing urbanization showed an increase in invasive richness while simulations in municipalities with decreasing populations showed stable or decreasing levels of invasive richness. The model simulations demonstrate the interest and feasibility of using this methodology in disturbance ecology. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-01-01T00:00:00Z 2011 2015-03-17T15:09:18Z |
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/10348/4308 |
url |
http://hdl.handle.net/10348/4308 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
doi:10.1016/j.envres.2011.03.014 |
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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1799137113783926784 |