Sincronia espacial e interespecífica de microalgas em ambientes aquáticos

• Ano de defesa: 2018
• Autor(a) principal: Zanon, Jaques Everton
• Orientador(a): Bini, Luis Mauricio
• Banca de defesa: Bini, Luis Mauricio, Bortolini, Jascieli Carla, Nabout, João Carlos, Vieira, Ludgero G. C., Ortega, Jean
• Tipo de documento: Tese
• 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: Sincronia espacial; Biomassa epifítica; Planície de inundação; Meta-análise
• Palavras-chave em Inglês: Spatial synchrony; Epiphytic biomass; Floodplain; Meta-analysis
• Área do conhecimento CNPq: CIENCIAS BIOLOGICAS::ECOLOGIA
• Link de acesso: http://repositorio.bc.ufg.br/tede/handle/tede/8304

Population synchrony occurs when abundance of different local populations increase and decrease simultaneously along time. In terms of other characteristics that can be measured in ecosystems, such as biomass and nutrient contents, intrinsic and extrinsic processes have also been used to explain synchronic variation patterns. Synchrony may clarify whether regional processes are more important than local processes. This study used epiphytic biomass data (chlorophyll-a) from eight locations collected in a floodplain through 11 years. The goal was to estimate epiphytic biomass synchrony. We anticipated that high synchrony levels would be consistent with the strong impact of floods, which affect different floodplain habitats simultaneously. This is equivalent to the Moran effect. In contrast, low synchrony levels would be consistent with the hypothesis that high environmental heterogeneity of floodplains hampers synchrony. Our results indicated low synchrony and its variation was not correlated with geographic or environmental distances and neither with environmental synchrony. Also, regression models demonstrated low predictive power of local environmental variables in predicting biomass variation in the different sites. In addition, we performed a meta-analysis that confirms the generality of our findings. In conclusion, these results challenge the efficiency of epiphytic biomass as an ecological indicator, at least in floodplain system.