999 resultados para índices de representação da paisagem
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Incluye Bibliografía
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Pós-graduação em Zootecnia - FCAV
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Incluye bibliografía.
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Pós-graduação em Psicologia do Desenvolvimento e Aprendizagem - FC
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Landscape is dynamic, having complex nature, with tangible and intangible dimensions, presenting a continuous evolution process. The aim of this research were based on the identification and classification of landscapes in units and subunits, from the ownership by individuals; the development of a methodology to assist in the planning and management, conciliating conservation of natural areas with anthropic activities; and, from the information gathered, evaluate the different social groups aiming to design a landscape from the sustainable development perspective; thus better understanding both cultural and forest fragmentation processes, in the city of Ouro Preto, Minas Gerais. The research analyzed the current landscape and its historical evolution, distinguishing between material and immaterial dimensions. Information was raised from field trips, soil types, relief, slope, drainage, conservation units, administrative zoning, urban areas, natural resources, economy, tax raising, transport and building infrastructure, satellite images, types of management applied to the preservation or conservation of forests and fields, and semi-structured interviews with the various actors that modify and transform the territory, thus making a balance between the built landscape and the demands of the society and ecosystems. Results were composed by a map of land use in 2011; a map of landscape units and their subunits, with their appropriate definitions; a map with five levels of activities intensity, with their respective descriptions; and raising barriers to improving the welfare of the actors and the integrity of ecosystems. The number of generated ecosystem services are difficult to measure, but its benefits are useful for everyone. The physical changes are a reflection of the economy, which caused environmental impacts, mainly related to mining activities, tourism, agriculture and conservation of natural areas, all requiring ideally a shared management. In this sense, the landscape needs a management to create sustainable alternatives to anthropic activities. The dynamics of the landscape has been shaped by a slow evolution, set by mining activities due to the high financial revenues, there were areas of revegetation after clearcuts in the past, and now tourism lacks structure. The city has great potential for development projects with payments for environmental services, however, gaps for shared management exists.
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The principal component analysis assists the producers in making decision of which evaluated features must be maintained in performance tests indexes, according to the variation present in these animals evaluated. The objective in this study was to evaluate a set of characteristics measured in a performance test in semifeedlot cattle of the Simmental and Angus breeds, by means principal component analysis (PC), aim to identify the features that represent most of the phenotypic variation for preparation of indexes. It was used data from 39 Angus and 38 Simmental bulls from the Santa Éster farm, located in Silvianópolis - MG. The performance test period was from october 2014 to february 2015. The features evaluated in the test were: final weight (FW), average daily gain weight (GW), respiratory rate (RR), haircoat temperature (HT) and rectal (RT), hair number (HN), hair length (HL), hair thickness (HT), muscularity (MUSC), racial characteristics, angulation, reproductive and balance (BAL), height of the front and back, width and length of croup, body length, depth and heart girth, subcutaneous fat thickness and rump (FTR), loin eye area and marbling (MAR). It was used PRINCOMP from SAS program for procedure the PC analysis. It was found that of the 27 features evaluated, the first four PC for Simmental breed explained 74% total variation data. The four PC selected with the corresponding weighting coefficients formed the following index: (0.27 * FW) + (0.47 * MUSC) + (0.50 * HL) + (0.39 * HT). Since the characteristics related to the adaptability of great importance for the studied breed, it was decided to keep the index of evidence for the Angus breed, the feature hair number, because there is a feature that presented a great variability and occupied one of the first principal component. Thus, the Angus index was composed by five features, with 79% total variation data, resulting in the following formula: (0.26 * FW) + (0.33 * BAL) + (0.58 * MAR) - (0.43 * FTR) – (0.38 * HN). By the principal component analysis it was possible to minimize the features number to be evaluated on performance tests from that farm, making the animal selection rapidly and accurate.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)