Perspectives and progress of ecology and conservation science in the Azores: the possible contribution of Artificial Intelligence

Detalhes bibliográficos
Autor(a) principal: Borges, Paulo A. V.
Data de Publicação: 2013
Outros Autores: Cardoso, Pedro, Guerreiro, Orlando, Rigal, François, Florencio, Margarita, Amorim, Isabel R., Borda-de-Água, Luís, Cascalho, José Manuel, Ferreira, Miguel
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.3/2994
Resumo: EPIA 2013 - XVI Portuguese Conference on Artificial Intelligence Angra do Heroísmo, Azores, Portugal, 9 – 12 September.
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spelling Perspectives and progress of ecology and conservation science in the Azores: the possible contribution of Artificial IntelligenceAbundanceDistributionSpecies RichnessSpeciationModelingEPIA 2013 - XVI Portuguese Conference on Artificial Intelligence Angra do Heroísmo, Azores, Portugal, 9 – 12 September.There is an urgent need of new methodologies in ecological and conservation science to deal with increasingly complex problems. We introduce four emerging research areas in ecology in which Artificial Intelligence may be explored as a tool to tackle unsolved issues in island ecosystems: (1) modeling abundance of plant and animal species in space and time; (2) modeling spread of invasive species; (3) estimating species richness based on incomplete sampling and (4) modeling speciation and diversification in insular habitats.CMATI, Universidade dos AcoresRepositório da Universidade dos AçoresBorges, Paulo A. V.Cardoso, PedroGuerreiro, OrlandoRigal, FrançoisFlorencio, MargaritaAmorim, Isabel R.Borda-de-Água, LuísCascalho, José ManuelFerreira, Miguel2014-05-12T16:26:13Z20132013-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.3/2994engBorges, P.A.V., Cardoso, P., Guerreiro, O., Rigal, F., Florencio, M., Amorim, I.R., Borda-de-Água, L., Cascalho, J. & Ferreira, M. (2013). "Perspectives and progress of ecology and conservation science in the Azores: the possible contribution of Artificial Intelligence". In: Luis Correia, Luis Paulo Reis, José Cascalho, Luis Gomes, Hélia Guerra Pedro Cardoso (Eds.) Advances in Artificial Intelligence: Local Proceedings, EPIA2013 CMATI, pp. 11-14. CMATI, Universidade dos Açores, Portugalinfo: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:RCAAP2022-12-20T14:30:53Zoai:repositorio.uac.pt:10400.3/2994Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:25:36.699518Repositório 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 Perspectives and progress of ecology and conservation science in the Azores: the possible contribution of Artificial Intelligence
title Perspectives and progress of ecology and conservation science in the Azores: the possible contribution of Artificial Intelligence
spellingShingle Perspectives and progress of ecology and conservation science in the Azores: the possible contribution of Artificial Intelligence
Borges, Paulo A. V.
Abundance
Distribution
Species Richness
Speciation
Modeling
title_short Perspectives and progress of ecology and conservation science in the Azores: the possible contribution of Artificial Intelligence
title_full Perspectives and progress of ecology and conservation science in the Azores: the possible contribution of Artificial Intelligence
title_fullStr Perspectives and progress of ecology and conservation science in the Azores: the possible contribution of Artificial Intelligence
title_full_unstemmed Perspectives and progress of ecology and conservation science in the Azores: the possible contribution of Artificial Intelligence
title_sort Perspectives and progress of ecology and conservation science in the Azores: the possible contribution of Artificial Intelligence
author Borges, Paulo A. V.
author_facet Borges, Paulo A. V.
Cardoso, Pedro
Guerreiro, Orlando
Rigal, François
Florencio, Margarita
Amorim, Isabel R.
Borda-de-Água, Luís
Cascalho, José Manuel
Ferreira, Miguel
author_role author
author2 Cardoso, Pedro
Guerreiro, Orlando
Rigal, François
Florencio, Margarita
Amorim, Isabel R.
Borda-de-Água, Luís
Cascalho, José Manuel
Ferreira, Miguel
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório da Universidade dos Açores
dc.contributor.author.fl_str_mv Borges, Paulo A. V.
Cardoso, Pedro
Guerreiro, Orlando
Rigal, François
Florencio, Margarita
Amorim, Isabel R.
Borda-de-Água, Luís
Cascalho, José Manuel
Ferreira, Miguel
dc.subject.por.fl_str_mv Abundance
Distribution
Species Richness
Speciation
Modeling
topic Abundance
Distribution
Species Richness
Speciation
Modeling
description EPIA 2013 - XVI Portuguese Conference on Artificial Intelligence Angra do Heroísmo, Azores, Portugal, 9 – 12 September.
publishDate 2013
dc.date.none.fl_str_mv 2013
2013-01-01T00:00:00Z
2014-05-12T16:26:13Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.3/2994
url http://hdl.handle.net/10400.3/2994
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Borges, P.A.V., Cardoso, P., Guerreiro, O., Rigal, F., Florencio, M., Amorim, I.R., Borda-de-Água, L., Cascalho, J. & Ferreira, M. (2013). "Perspectives and progress of ecology and conservation science in the Azores: the possible contribution of Artificial Intelligence". In: Luis Correia, Luis Paulo Reis, José Cascalho, Luis Gomes, Hélia Guerra Pedro Cardoso (Eds.) Advances in Artificial Intelligence: Local Proceedings, EPIA2013 CMATI, pp. 11-14. CMATI, Universidade dos Açores, Portugal
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dc.publisher.none.fl_str_mv CMATI, Universidade dos Acores
publisher.none.fl_str_mv CMATI, Universidade dos Acores
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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