Acacia saligna (Labill.) H. Wendl in the Sesimbra County: invaded habitats and potential distribution modeling
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/10451/37822 |
Resumo: | The aim of this study is to establish the spatial pattern of colonization and spread of Acacia saligna by predictive modeling, susceptibility evaluation and to perform a cost-effective analysis in two sites of community importance (Fernão Ferro/Lagoa de Albufeira and Arrábida/Espichel) in the Sesimbra County. The main goal is to increase the knowledge on the invasive process and the potential distribution of the Acacia saligna in Sesimbra County, namely in the Natura 2000 sites. The Artificial Neural Networks model was developed in Open Modeller to predict the potential of occurrence of A. saligna, and is assumed to be conditioned by a set of limiting factors that may be known or modeled. The base information includes a dependent variable (present distribution of specie) and several variables considered as conditioning factors (topographic variables, land use, soils characteristics, river and road distance), organized in a Geographical Information System (GIS) database. This is used to perform spatial analysis, which is focused on the relationships between the presence or absence of the specie and the values of the conditioning factors. The results show a high correspondence between higher values of potential of occurrence and soils characteristics and distance to rivers; these factors seem to benefit the specie’ invasion process. According to the conservation value of each cartographic unit, related to natural habitats included in Habitats Directive (92/43/EEC), the coastal habitats (2130, 2250 and 2230) were the most susceptible to invasion by A. saligna. The predicted A. saligna distribution allows for a more efficient concentration and application of resources (human and financial) in the most susceptible areas to invasion, such as the local and national Protected Areas and the Sites of Community Importance, and is useful to test hypotheses about the specie range characteristics, habitats preferences and habitat partitioning |
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Acacia saligna (Labill.) H. Wendl in the Sesimbra County: invaded habitats and potential distribution modelingSpecies Distribution ModelGISConservationThe aim of this study is to establish the spatial pattern of colonization and spread of Acacia saligna by predictive modeling, susceptibility evaluation and to perform a cost-effective analysis in two sites of community importance (Fernão Ferro/Lagoa de Albufeira and Arrábida/Espichel) in the Sesimbra County. The main goal is to increase the knowledge on the invasive process and the potential distribution of the Acacia saligna in Sesimbra County, namely in the Natura 2000 sites. The Artificial Neural Networks model was developed in Open Modeller to predict the potential of occurrence of A. saligna, and is assumed to be conditioned by a set of limiting factors that may be known or modeled. The base information includes a dependent variable (present distribution of specie) and several variables considered as conditioning factors (topographic variables, land use, soils characteristics, river and road distance), organized in a Geographical Information System (GIS) database. This is used to perform spatial analysis, which is focused on the relationships between the presence or absence of the specie and the values of the conditioning factors. The results show a high correspondence between higher values of potential of occurrence and soils characteristics and distance to rivers; these factors seem to benefit the specie’ invasion process. According to the conservation value of each cartographic unit, related to natural habitats included in Habitats Directive (92/43/EEC), the coastal habitats (2130, 2250 and 2230) were the most susceptible to invasion by A. saligna. The predicted A. saligna distribution allows for a more efficient concentration and application of resources (human and financial) in the most susceptible areas to invasion, such as the local and national Protected Areas and the Sites of Community Importance, and is useful to test hypotheses about the specie range characteristics, habitats preferences and habitat partitioningCoastal Education and Research FoundationRepositório da Universidade de LisboaGutierres, F.Gil, A.Reis, EusébioLobo, A.Neto, CarlosCalado, H.Costa, J. C.2019-04-02T16:24:45Z20112011-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10451/37822engGutierres, F., Gil, A., Reis, E., Lobo, A., Neto, C., Calado, H., & Costa, J. C. (2011). Acacia saligna (Labill.) H. Wendl in the Sesimbra County: invaded habitats and potential distribution modeling. Journal of Coastal Research, 403-407. ISSN: 0749-02081551-5036metadata only accessinfo: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:RCAAP2023-11-08T16:35:11Zoai:repositorio.ul.pt:10451/37822Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:51:48.223289Repositório 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 |
Acacia saligna (Labill.) H. Wendl in the Sesimbra County: invaded habitats and potential distribution modeling |
title |
Acacia saligna (Labill.) H. Wendl in the Sesimbra County: invaded habitats and potential distribution modeling |
spellingShingle |
Acacia saligna (Labill.) H. Wendl in the Sesimbra County: invaded habitats and potential distribution modeling Gutierres, F. Species Distribution Model GIS Conservation |
title_short |
Acacia saligna (Labill.) H. Wendl in the Sesimbra County: invaded habitats and potential distribution modeling |
title_full |
Acacia saligna (Labill.) H. Wendl in the Sesimbra County: invaded habitats and potential distribution modeling |
title_fullStr |
Acacia saligna (Labill.) H. Wendl in the Sesimbra County: invaded habitats and potential distribution modeling |
title_full_unstemmed |
Acacia saligna (Labill.) H. Wendl in the Sesimbra County: invaded habitats and potential distribution modeling |
title_sort |
Acacia saligna (Labill.) H. Wendl in the Sesimbra County: invaded habitats and potential distribution modeling |
author |
Gutierres, F. |
author_facet |
Gutierres, F. Gil, A. Reis, Eusébio Lobo, A. Neto, Carlos Calado, H. Costa, J. C. |
author_role |
author |
author2 |
Gil, A. Reis, Eusébio Lobo, A. Neto, Carlos Calado, H. Costa, J. C. |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
Gutierres, F. Gil, A. Reis, Eusébio Lobo, A. Neto, Carlos Calado, H. Costa, J. C. |
dc.subject.por.fl_str_mv |
Species Distribution Model GIS Conservation |
topic |
Species Distribution Model GIS Conservation |
description |
The aim of this study is to establish the spatial pattern of colonization and spread of Acacia saligna by predictive modeling, susceptibility evaluation and to perform a cost-effective analysis in two sites of community importance (Fernão Ferro/Lagoa de Albufeira and Arrábida/Espichel) in the Sesimbra County. The main goal is to increase the knowledge on the invasive process and the potential distribution of the Acacia saligna in Sesimbra County, namely in the Natura 2000 sites. The Artificial Neural Networks model was developed in Open Modeller to predict the potential of occurrence of A. saligna, and is assumed to be conditioned by a set of limiting factors that may be known or modeled. The base information includes a dependent variable (present distribution of specie) and several variables considered as conditioning factors (topographic variables, land use, soils characteristics, river and road distance), organized in a Geographical Information System (GIS) database. This is used to perform spatial analysis, which is focused on the relationships between the presence or absence of the specie and the values of the conditioning factors. The results show a high correspondence between higher values of potential of occurrence and soils characteristics and distance to rivers; these factors seem to benefit the specie’ invasion process. According to the conservation value of each cartographic unit, related to natural habitats included in Habitats Directive (92/43/EEC), the coastal habitats (2130, 2250 and 2230) were the most susceptible to invasion by A. saligna. The predicted A. saligna distribution allows for a more efficient concentration and application of resources (human and financial) in the most susceptible areas to invasion, such as the local and national Protected Areas and the Sites of Community Importance, and is useful to test hypotheses about the specie range characteristics, habitats preferences and habitat partitioning |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011 2011-01-01T00:00:00Z 2019-04-02T16:24:45Z |
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/10451/37822 |
url |
http://hdl.handle.net/10451/37822 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Gutierres, F., Gil, A., Reis, E., Lobo, A., Neto, C., Calado, H., & Costa, J. C. (2011). Acacia saligna (Labill.) H. Wendl in the Sesimbra County: invaded habitats and potential distribution modeling. Journal of Coastal Research, 403-407. ISSN: 0749-0208 1551-5036 |
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.publisher.none.fl_str_mv |
Coastal Education and Research Foundation |
publisher.none.fl_str_mv |
Coastal Education and Research Foundation |
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 |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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