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Temporal and Spatial Patterns in Inputs and Stock of Organic Matter in Savannah Streams of Central Brazil
Authors:Paulino Bambi  Renan de Souza Rezende  Maria João Feio  Gustavo Figueiredo Marques Leite  Elisa Alvin  José Maurício Brandão Quintão  Fernanda Araújo  José Francisco Gonçalves Júnior
Institution:1.Departamento de Ecologia, Instituto de Ciências Biológicas,Universidade de Brasília,Brasília,Brazil;2.Universidade Estadual do Mato Grosso Campus Nova Xavantina,Nova Xavantina,Brazil;3.Department of Life Sciences, MARE-Marine and Environmental Research Centre,University of Coimbra,Coimbra,Portugal
Abstract:Coarse particulate organic matter (CPOM) inputs from riparian vegetation into streams and CPOM benthic stock vary naturally in space and time, but most studies in the tropical savannah (Cerrado) have been done over a small temporal scale (<1 year), which does not allow for the determination of inter-annual patterns. We found that CPOM collected over two years differed temporally and spatially, whereas there was no significant variation between years for the benthic stock, which indicates high stability in the energy balance of streams. The largest monthly inputs occurred between August and October, at the end of the dry season and the onset of the rainy season, which was partially explained by precipitation. Other factors such as photoperiod, which was not studied, could also have important roles in this pattern. Spatial differences in CPOM between streams were attributed to topography and channel morphology. The plant density was lowest in the stream with a more irregular topography and a deeper channel, which results in drier riparian soil. The benthic stock was highest in the stream with a flat channel, where the lower water speed facilitates the accumulation of CPOM in the stream bed. Inter-annual differences in CPOM were attributed more to the differences in the beginning of the dry and wet periods between years than to the average values of precipitation. Longer-term studies are needed to clarify this temporal pattern.
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