Indicadores socieconômicos e criação de áreas naturais protegidas em Minas Gerais

Nature Protection Areas (NPA) are important in the modern world, although still created with no well-defined criteria, overall in state and municipal spheres. In addition, there are no consistent information on the existence or factors that influence the creation and distribution of these areas. The present work had the objectives of identifying the Nature Protection Areas in Minas Gerais, Brazil, considering the municipalities and their mesoregions; perform a space-temporal analysis of the NPAs in Minas Gerais; relate the existence of NPAs with the Municipal Human Development Index (MHDI) and the municipal Gini Index (GI); relate the existence of NPA with the space-temporal and population density of each municipality; relate the Gross Domestic Product (GDP) with the presence of NPAs; relate the existence of NPAs with the occurrence of preservation areas in municipalities within the Atlantic Forest Biome; and verify the influence of the Ecological Sales and Services Tax (Ecological ICMS) institute over the creation of municipal NPAs in Minas Gerais. To reach these objectives, we researched databases, governmental websites, contacted managers and sent questionnaires to the 853 municipalities of Minas Gerais. After tabulating the data, statistical tests were applied to verify possible correlations. The results showed that the state has 9.26% of its territory protected, with the predominance of units of Sustainable Use, especially Environmental Protection Areas, which constitute 69.9% of this area. Only 1.96% of the territory are protected by Integral Protection (IP). We found no correlation between MHDI and the presence of NPAs. However, we verified that municipalities with IP units present higher GI when compared to the others, suggesting that the presence of this conservation unit (CU) model may be associated to social inequality. The results also showed a higher concentration CU in regions that use little of its natural resources as main economic basis and in municipalities with higher GDP. We also registered a positive correlation between the size of the municipalities, of the mesoregions, preserved area of the Atlantic Forest and population density. The Ecological ICMS did not contribute for a better IP in the state and, currently, does not represent an incentive to the creation of CU in Minas Gerais, even in the case of Environmental Protection Areas. This work registered a high degree of vulnerability if the protection system in this state, based on low restriction conservation units.

Potencial da espectroscopia no infravermelho próximo para distinção de carvão de madeira de Eucalyptus e nativa

The objective of this study was to evaluate the potential of near infrared spectroscopy (NIRS) associated with multivariate statistics to distinguish coal produced from wood of planted and native forests. Timber forest species from the C errado (Cedrela sp., Aspidosperma sp., Jacaranda sp. and unknown species) and Eucalyptus clones from forestry companies (Vallourec and Cenibra) were carbonized in the final temperatures of 300, 500 and 700°C. In each heat treatment were carbonized 15 specimens of each vegetal material totaling 270 samples (3 treatments x 15 reps x 6 materials) produced in 18 carbonization (3 treatments x 6 materials). The acquisition of the spectra of coals in the near infrared using a spectrometer was performed. Principal Component Analysis (PCA) and Partial Least Squares Regression (PLS-R) were carried out in the spectra. NIR Spectroscopy associated with PCA was not able to differentiate charcoals produced from native and planted woods when utilizing all carbonized samples at different temperatures in the same analysis; The PCA of all charcoals was able to distinguish the samples depending on temperature in which they were carbonized. However, the separation of native and planted charcoal was possible when the samples were analyzed separately by final temperature. The prediction of native or planted classes by PLS-R presented better performance for samples carbonized at 300°C followed by those at 500°C, 700°C and for all together.