Seasonal dynamics of cyanobacteria in a eutrophic reservoir (Arcoverde) in a semi-arid region of Brazil

Environmental conditions favor the predominance of dense populations of cyanobacteria in reservoirs in northeastern Brazil. The aim of this study was to understand cyanobacterial population dynamics in the rainy and dry seasons at two depths in the Arcoverde reservoir. Microalgae and cyanobacteria samples were collected during 24 hours with intervals of 4 hours (nycthemeral) at sub-surface and 10 m using a van Dorn bottle and a determined biomass. Physical and chemical variables were obtained and the data were analyzed using the principal component analysis (PCA). No nycthemeral variations in the taxonomic composition or distribution of the populations of cyanobacteria were found between the different times of day in either the rainy or dry season. In both seasons, the greatest biomass of the phytoplankton community was made up of cyanobacteria at two depths and all times of the day. Cylindrospermopsis raciborskii (Woloszynska) Seenayya et Subba Raju was dominant at all times of the day on both the surface and at the bottom. In the rainy season, the differences in cyanobacterial biomass between the surface and bottom were less significant than in the dry season. The differences in cyanobacterial biomass between surface and bottom were less pronounced than those found in the dry season. We concluded that a) physical variables better explain the alterations of species in the phytoplankton community in an environment dominated by cyanobacteria throughout the year; b) seasonal climatic factors associated to periods of stratification and de-stratification are important for alterations in the community and variations in biomass and, c) the turbidity caused by rainfall favored the emergence and establishment of other cyanobacteria, especially Planktothrix agardhii (Gomont) Anagnostidis & Komarek.

Can climate shape flight activity patterns of Plebeia remota Hymenoptera, Apidae)?

Flight activity of foragers of four colonies of Plebeia remota (Holmberg, 1903) was registered from December 1998 to December 1999, using an automated system (photocells and PLC system). The colonies originated from two different regions: Cunha, state of São Paulo, and Prudentópolis, state of Paraná, Brazil. Flight activity was influenced by different climatic factors in each season. In the summer, the intensity of the correlations between flight activity and climatic factors was smaller than in the other seasons. During the autumn and winter, solar radiation was the factor that most influenced flight activity, while in the spring, this activity was influenced mainly by temperature. Except in the summer, the various climatic factors similarly influenced flight activity of all of the colonies. Flight activity was not affected by geographic origin of the colonies. Information concerning seasonal differences in flight activity of P. remota will be useful for prediction of geographic distribution scenarios under climatic changes.

Uma análise da gestão de risco de preço por parte dos produtores de café arábica no Brasil

Os mercados futuros possuem uso restrito entre os cafeicultores brasileiros, o que, de certa maneira, não condiz com as altas razões ótimas de hedge obtidas nos modelos de mínima variância. Os motivos para esta baixa utilização estão associados às características do produtor e de seu negócio, preferências em relação ao modelo de administração de risco da atividade e questões comportamentais. Diante disso, o presente estudo buscou verificar quais fatores interferem na decisão de uso destes derivativos entre os cafeicultores brasileiros. Em uma primeira etapa, foram calculadas razões ótimas de hedge, de acordo com Myers e Thompson (1989), para os mercados da BM&FBOVESPA e ICE Futures. Tais razões apresentaram valores superiores a 50%. Em uma segunda etapa, a partir da aplicação de 373 questionários, observou-se que 12,9% da amostra declara conhecer e utilizar futuros, sendo que, na média, a razão de hedge adotada esteve abaixo de 50%. Em uma terceira etapa, a partir de um modelo logit, concluiu-se que os fatores que influenciaram o uso dos contratos foram grau de aversão ao risco de preço, tamanho da produção, nível de conhecimento sobre derivativos e dimensão pela qual se entende que tais instrumentos levam à maior estabilidade da receita da atividade.