1000 resultados para variabilidade temporal e espacial


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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Agronomia (Entomologia Agrícola) - FCAV

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The goal of this paper was to select among the attributes surveyed soil, one with better representation to explain the variability of the technological components of sugar cane. The study was conducted at ETH Eldorado Plant in Rio Brilhante, MS, in the agricultural year 2011/2012, in a Oxisol, which was installed a geostatistical grid for data collection of soil and plant, with 80 sampling points, a 80 ha area. From the standpoint of linear and spatial TCH has been explained as a function of volumetric moisture. The volumetric moisture collected at a depth of 0.00 to 0.20 m, which had values between 0,24 to 0,270 m(3) m(-3), resulted in sites with the highest productivity of sugar cane per hectare from 64 to 70 t ha(-1). To aid future studies aimed at precision agriculture, which will use the same attributes as those of the future works, the values of ranges of spatial dependence to be used should be between 81 and 487 meters.

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INTRODUÇÃO: Um dos benefícios promovidos pelo exercício físico parece ser a melhora da modulação do sistema nervoso autônomo sobre o coração. No entanto, o papel da atividade física como um fator determinante da variabilidade da frequência cardíaca (VFC) não está bem estabelecido. Desta forma, o objetivo do estudo foi verificar se há correlação entre a frequência cardíaca de repouso e a carga máxima atingida no teste de esforço físico com os índices de VFC em homens idosos. MÉTODOS: Foram estudados 18 homens idosos com idades entre 60 e 70 anos. Foram feitas as seguintes avaliações: a) teste de esforço máximo em cicloergômetro utilizando-se o protocolo de Balke para avaliação da capacidade aeróbia; b) registro da frequência cardíaca (FC) e dos intervalos R-R durante 15 minutos na condição de repouso em decúbito dorsal. Após a coleta, os dados foram analisados no domínio do tempo, calculando-se o índice RMSSD, e no domínio da frequência, calculando-se os índices de baixa frequência (BF), alta frequência (AF) e razão BF/AF. Para verificar se existe associação entre a carga máxima atingida no teste de esforço e os índices de VFC foi aplicado o teste de correlação de Pearson (p < 0,05). RESULTADOS: Características demográficas, antropométricas, fisiológicas e carga máxima atingida no teste ergométrico: idade = 63 ± 3,0 anos; IMC = 24 ± 2kg/m²; FC = 63 ± 9bpm; PAS = 123 ± 19mmHg; PAD = 83 ± 8mmHg; carga máxima = 152 ± 29 watts. Não houve correlação entre os índices de VFC com os valores de FC de repouso e carga máxima atingida no teste ergométrico (p > 0,05). CONCLUSÃO: Os índices de variabilidade da frequência cardíaca temporal e espectrais estudados não são indicadores do nível de capacidade aeróbia de homens idosos avaliados em cicloergômetro.

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Analysis of variability of rainfall UGRHI-17 is important because it is located in an area of agriculture. This importance is through a better dialogue between research and farmers, who can see this, an analysis of events that impact your direct planting. Noting the periodic occurrence of these events, agriculture can be prevented by protecting your planting and ensuring a good harvest. The analysis and observation of the entire region is through the location of the stations, which allow a more complete analysis if they are well scattered throughout the unit. Through calculations parse wet and dry years, and this work will be given emphasis to the wet years. They presented the climatological average above average extracted for all seasons. These wet years are generally associated with events such as El Niño and the intensification of SACZ. For these years, was also observed the spatial distribution of rainfall through isolines. How to deal with regional data, the Geostatistics was a resource used in this work to make the analysis more complete and closer to the actual data from the wide year-to-interannual scale. Their adoption is in the preparation of contour, making the spatial distribution more accurate.

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Climate variability and therefore the rainfall is often cited today, in times to speak of "global change", "global warming", "anthropogenic disasters," among other terms related to climate issues, which may cause floods and disasters that affect entire regions. In this sense, the seasonal rainfall and its extremes in the basin of Ivaí river, which has a drainage area of approximately 36 000 km2, covering a length of 680 km, located in the State of Paraná between coordinates 22 º 54'S 25 ° 44'S and 55 44'W to 52 º 42'W, were analyzed. Influence of rainfall for the man occupation is undeniably important, not less important is the role that this issue poses to the climate abiotic and biotic environment, because the dynamic relations between the fauna and flora is directly related to the availability of water in system (in this case, rain). The methodological procedures used during the research focused on statistical analysis of rainfall series daily, monthly and yearly, provided by the Superintendence of Water Resources Development and Environmental Protection Agency - SUDERHSA, an agency linked to the government of Parana. The analysis period chosen was from 1975 to 2005, with 38 stations for data collection, distributed evenly across the search area. The standard rainfall in the basin is explained mainly by convective processes in the summer (wet season) and front system causing more homogeneous rainfall over the basin (dry season). What is well marked is the occurrence of maximum rainfall in the years 1983 and 1997 (El Niño) and minimal in the years 1977, 1985 and 1988 (La Niña). Finally, although the study area have undergone a significant change in your landscape for over thirty years, this study indicates no significant interference in rainfall.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Crop yield is influenced by several factors with variability in time and space that are associated with the variations in the plant vigor. This variability allows the identification of management zones and site-specific applications to manage different regions of the field. The purpose of this study was the use of multispectral image for management zones identification and implications of site-specific application in commercial cotton areas. Multispectral airborne images from three years were used to classify a field into three vegetation classes via the Normalized Difference Vegetation Index (NDVI). The NDVI classes were used to verify the potential differences between plant physical measurements and identify management zones. The cotton plant measurements sampled in 8 repetitions of 10 plants at each NDVI class were Stand Count, Plant Height, Total Nodes and Total Bolls. Statistical analysis was performed with treatments arranged in split plot design with Tukey’s Test at 5% of probability. The images were classified into five NDVI classes to evaluate the relationship between cotton plant measurement results and sampling location across the field. The results have demonstrated the possibility of using multispectral image for management zones identification in cotton areas. The image classification into three NDVI classes showed three different zones in the field with similar characteristics for the studied years. Statistical differences were shown for plant height, total nodes and total bolls between low and high NDVI classes for all years. High NDVI classes contained plants with greater height, total nodes and total bolls compared to low NDVI classes. There was no difference in Stand Count between low and high NDVI classes for the three studied years. The final plant stand was the same between all NDVI classes for 2001 and 2003 as it was expected due to the conventional seeding application with the same rate of seeds for the entire field.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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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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O índice de volatilidade eleitoral tem sido usado como um dos principais indicadores de institucionalização dos sistemas partidários em países de democracia recente. Contudo, os estudos comparados usualmente analisam esse índice num nível de agregação dos dados muito elevado, avaliando sua variação com base nas médias nacionais. Sob tal perspectiva, nosso objetivo é analisar a volatilidade eleitoral brasileira tomando os 27 entes federativos como unidade de agregação dos dados eleitorais para a Câmara dos Deputados. Na primeira parte do artigo, mostramos que há grande variabilidade no índice entre os estados e entre as sucessivas eleições; na segunda parte, realizamos um teste estatístico do impacto explicativo de variáveis políticas, econômicas e sociais na variação da volatilidade eleitoral em duas dimensões: a temporal (entre as eleições) e a espacial (entre os estados). Os resultados mostram a importância de algumas variáveis políticas na explicação da variação da volatilidade eleitoral brasileira.

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The objective of this work was to assess the spatial and temporal variability of sugarcane yield efficiency and yield gap in the state of São Paulo, Brazil, throughout 16 growing seasons, considering climate and soil as main effects, and socioeconomic factors as complementary. An empirical model was used to assess potential and attainable yields, using climate data series from 37 weather stations. Soil effects were analyzed using the concept of production environments associated with a soil aptitude map for sugarcane. Crop yield efficiency increased from 0.42 to 0.58 in the analyzed period (1990/1991 to 2005/2006 crop seasons), and yield gap consequently decreased from 58 to 42%. Climatic factors explained 43% of the variability of sugarcane yield efficiency, in the following order of importance: solar radiation, water deficit, maximum air temperature, precipitation, and minimum air temperature. Soil explained 15% of the variability, considering the average of all seasons. There was a change in the correlation pattern of climate and soil with yield efficiency after the 2001/2002 season, probably due to the crop expansion to the west of the state during the subsequent period. Socioeconomic, biotic and crop management factors together explain 42% of sugarcane yield efficiency in the state of São Paulo.