Regras de Assembleia em aves do Cerrado: estrutura funcional em diferentes escalas espaciais

• Ano de defesa: 2011
• Autor(a) principal: SOBRAL, Fernando Landa
• Orientador(a): CIANCIARUSO, Marcus Vinicius
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Goiás
• Programa de Pós-Graduação: Mestrado em Ecologia e Evolução
• Departamento: Ciências Biológicas - Biologia
• País: BR
• Palavras-chave em Português: Diversidade Funcional; Filtros Ambientais; Similaridade Limitante
• Palavras-chave em Inglês: Functional Diversity; Phylogenetic Diversity; Environmental Filtering; Limiting Similarity; Open Area Species; Forest Area Species
• Área do conhecimento CNPq: CNPQ::CIENCIAS BIOLOGICAS::ECOLOGIA::ECOLOGIA APLICADA
• Link de acesso: http://repositorio.bc.ufg.br/tede/handle/tde/2565

Communities are assemblages of co-occurring species that potentially interact with each other. They are the result not only of a series of ecological processes or "assembly rules", but also of past and ongoing evolutionary processes. In recent years, the assembly rules have received increased attention from ecologists and two different processes have been explored: environmental filtering and limiting similarity. As the processes involved in the formation of the assemblages appear to vary in a manner dependent on scale, it is expected that such assembly rules have different effects over different spatial scales. Understanding this relationship between ecological processes and spatial scales in which they act has been a great challenge among scholars. In this context, the incorporation of phylogenetic and functional data to diversity classical approaches have established the basis for an emerging area of research in community ecology, promoting the development of many tools to detect the underlying structure of the assemblages and, therefore, to infer the processes assembly responsible for the formation of the assemblages. Here, we demonstrate how the use of different measures of phylogenetic and functional diversity along with the use of different null models can be a promising approach in solving paradigms still poorly understood, discussing how such methods can increase the predictive power of this growing area of research.