The floristic composition of an environment is important to ensure the trophic niche of bee species. Melipona scutellaris Latreille, is a typical stingless bee of Atlantic rainforest sites in northeastern Brazil, a region widely established in meliponaries for honey and pollen production. M. scutellaris is reared (meliponiculture) in rural and urban areas, where the species depends on the availability of different plants for nectar and pollen collection. In this study, we estimated food niche width, equitativity, and similarity between different colonies of M. scutellaris in highly urbanized and industrialized sites of the Metropolitan Region of Salvador, Bahia State, Brazil. We analyzed pollen spectrum of 58 honey samples from six meliponaries, during 12 months. We identified 111 pollen types distributed in 28 plant families. The Fabaceae family showed the highest diversity in pollen types (33.33% of the total) and Mimosa caesalpiniifolia was the most frequent pollen type, found in 100% of the samples. M. scutellaris concentrated its foraging activity on a few trophic resources (H’ = 2.69 and J’ = 0.01) indicating a few melittophilous plant species belonging to the genera Eucalyptus, Mimosa, Protium, Serjania and Tapirira, should be managed on a regional scale to favor meliponiculture with this native bee species.
The evaluation of economic, property and financial aspects of the economy can be made through analysis of the Financial-Economic indicators that, when properly forecasted, can bring great benefits to the company and its shareholders. Over the last few years, several authors have studied the relationship between these indicators and macroeconomic variables. The objective of this paper is to determine the influence of GDP (Gross Domestic Product), Exchange Rate, SELIC Rate (Brazil's interest base rate) and in flation rate on the performance of four publicly held company of Brazilian pulp and paper sector: Fibria, Suzano Papel e Celulose, Celulose Irani and Klabin. For this analysis, two models were applied to the database, one using only the past data of the indicators themselves and another using past both data and macroeconomic variables. According to the evaluation criteria used, for the studied period, the performance of the macroeconomic variables was significant to predict the changes in the economic-financial indexes.
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