Faculdade de Meteorologia - FAMET/IG
URI Permanente desta comunidadehttps://repositorio.ufpa.br/handle/2011/2798
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Navegando Faculdade de Meteorologia - FAMET/IG por Assunto "Amazon Forest"
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Item Acesso aberto (Open Access) Influência de variáveis meteorológicas na produção de liteira na Estação Científica Ferreira Penna, Caxiuanã, Pará(Instituto Nacional de Pesquisas da Amazônia, 2009-09) SILVA, Rosecélia Moreira da; COSTA, José Maria Nogueira da; RUIVO, Maria de Lourdes Pinheiro; COSTA, Antonio Carlos Lôla da; ALMEIDA, Samuel SoaresThe evaluation of the influence on the exclusion of rainfall on the variation of litter production was done in Caxiuanã Forest Reserve at Ferreira Penna Scientific Station (1º 42 ' S, 51º 31 ' W) during the period from March, 2001 to February, 2003 with the objective of identifying the main meteorological variables and the main components of the monthly water balance that affected the production and decomposition of litter. This work was part of the subproject EXPERIMENT OF DROUGHT IN THE FOREST (ESECAFLOR), that aimed to study the long term impacts of drought on the water, energy and carbon dioxide fluxes in the Amazon forest. The sazonality of total litter production and its components (leaves, brushwood and reproductive parts) was well established, with the occurrence of a greater litter production during the months with lower precipitation. The monthly litter production during the experimental period ranged from 294.78 kg.ha-1 to 1758.69 kg.ha-1, with an average of 777.70 kg.ha-1. The total litter production was partitioned in leaves (61.40 %), brushwoods (18.45 %) and reproductive parts (20.14 %). The results obtained in the undisturbed plot showed a higher litter production, about 25 %, compared to the litter production in the plot under the exclusion of water. The variables more strongly correlated with litter production and its components were wind speed, global solar radiation density flux, photosynthetic active radiation density flux, soil temperature at 5 cm depth, precipitation, soil water deficit and water surplus.