Diversidade e estruturação de assembleias de girinos no Cerrado em diferentes escalas espaciais

Detalhes bibliográficos
Ano de defesa: 2015
Autor(a) principal: Fava, Fernanda Guimarães lattes
Orientador(a): Nomura, Fausto lattes
Banca de defesa: Nomura, Fausto, Bastos, Rogério Pereira, Conte, Carlos Eduardo
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de Goiás
Programa de Pós-Graduação: Programa de Pós-graduação em Ecologia e Evolução (ICB)
Departamento: Instituto de Ciências Biológicas - ICB (RG)
País: Brasil
Palavras-chave em Português:
Palavras-chave em Inglês:
Área do conhecimento CNPq:
Link de acesso: http://repositorio.bc.ufg.br/tede/handle/tede/6250
Resumo: To simplify and measure all the great diversity of life on Earth we use models to summarize the processes driving community patterns. The community models structured by deterministic processes are based on species niche. Those models structured by stochastic processes are based on disperson and ecological drift. The spatial scale (i.e. extent) is a very important factor to evaluate the relative importance of deterministic and stochastic processes, because it determines the spatial and environmental heterogeneity. Traditionally, we consider that local species interactions with the environment and other species are important in explaining the diversity at the local level, while in larger geographic scales the differences in species niche could be not so important and these follow a probabilistic distribution of extinction and colonization processes. However, a opposite idea has arisen, that niche could have a greater influence on large scales and stochastic events may predominate at small scales. The organism type is also important for assemblies studies due to differences in dispersal ability. Tadpoles depend on the adult form to disperse and frogs generally have low movement ability. Thus, the spatial scale and the organism type will determine the relative importance of deterministic and stochastic factors in assemblies studies.