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

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Borges_P.A.V_et_al_(2013)_EPIA2013_Proceedings.pdf292.08 KBAdobe PDF Ver/Abrir

Orientador(es)

Resumo(s)

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.

Descrição

EPIA 2013 - XVI Portuguese Conference on Artificial Intelligence Angra do Heroísmo, Azores, Portugal, 9 – 12 September.

Palavras-chave

Abundance Distribution Species Richness Speciation Modeling

Contexto Educativo

Citação

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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Unidades organizacionais

Fascículo

Editora

CMATI, Universidade dos Acores

Licença CC