949 resultados para Spatial Variation


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The objective of this work is to analyze the effects of salinity and wastewater on the zooplankton community of the Itanhaém river estuary, São Paulo state. Samples of zooplankton as well as physical and chemical variables of water were collected in four sites, located between the coastal line and the superior part of the estuary, including a secondary channel where wastewater is thrown without previous treatment. The samples were collected in low and high tide in winter and summer. Results showed that the estuary presents a temporal and spatial variation of physical and chemical characteristics, especially salinity, in function of the tide and seasonal variation of rain. The high values of salinity occurred in winter and high tide. Zooplankton community was adapted to the dynamic of salinity, and marine and estuarine species occurred in the low part of the estuary in winter. Although the Itanhaém river estuary has the same temporal and spatial dynamic of other estuaries, the values of salinity are low when compared with others located in the southern coast of São Paulo. Consequently, mainly oligohaline and fresh water species constitute the zooplankton community. These characteristics are due to the great drainage area of the Itanhaém river basin. The waste water modified physical and chemical characteristics of water that now presents higher concentrations of nutrients, higher values of suspended matter and lower concentrations of oxygen. It was observed a positive relation between the density of nauplii of copepods and organic pollution in this estuary.

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The great diversity of materials that characterizes the urban environment determines a structure of mixed classes in a classification of multiespectral images. In that sense, it is important to define an appropriate classification system using a non parametric classifier, that allows incorporating non spectral (such as texture) data to the process. They also allow analyzing the uncertainty associated to each class from the output alues of the network calculated in relation to each class. Considering these properties, an experiment was carried out. This experiment consisted in the application of an Artificial Neural Network aiming at the classification of the urban land cover of Presidente Prudente and the analysis of the uncertainty in the representation of the mapped thematic classes. The results showed that it is possible to discriminate the variations in the urban land cover through the application of an Artificial Neural Network. It was also possible to visualize the spatial variation of the uncertainty in the attribution of classes of urban land cover from the generated representations. The class characterized by a defined pattern as intermediary related to the impermeability of the urban soil presented larger ambiguity degree and, therefore, larger mixture.

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The rain occurrence is one of the most important phenomena to determinate the climate and, as most of the other climatic phenomena, shows a continuous spatial variability that can be detected through special geostatistical methods. Besides the great influence of the topographic relief on the specific climate of each region, it is normal to expect spatial correlations of this variable with the precipitations; the determinism of this correlation may help to elaborate more precise conclusions involving these phenomena. In this paper, the spatial variability of altitude and of the pluviometric precipitations was rigorously analyzed, besides the existing correlation between these variables. It was concluded that these variables show strong spatial dependence and they are directly correlated. The mapping of the occurrence of both the phenomena was done by geostatistical methods pased on the infomiation concerning the spatial variability of each one.

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We examined the relationships between topography, soil properties and tree species composition in a Neotropical swamp forest in southeastern Brazil. Plots were sampled in the forest, encompassing three different soil ground water regimes along the topographical declivity. All non-climbing plant individuals with trunk height >1.3 m were sampled. A canonical correspondence analysis-CCA-of the species-environmental relationships grouped tree species according to drainage and chemical soil conditions. A total of 86 species were found, being 77 species in the inferior, 40 species in the intermediate and 35 species in the superior topographic section. Some species were among the 10 most abundant ones, both in the overall sampled area and in each topographical section, with alternation events occurring only with their abundance position. However, substantial differences in floristic composition between sections were detected in a fine spatial scale, due to higher number of species, diversity index (H′) and species unique (exclusives) in the inferior topographic section. These higher values can be attributed to its higher spatial heterogeneity that included better drained and seasonally waterlogged soils, higher soil fertility and lower acidity. The increase of the soil water saturation and the uniform conditions derived from the superficial water layer has led to a lower number of species and an increase on the palm trees abundance in the intermediate and superior sections. Our results showed that at a small spatial scale niche differentiation must be an important factor related to the increase of the local diversity. The wide distribution of the most abundant species in the studied area and the increase of local diversity corroborate the pattern of distribution of species in larger scales of swamp forests, in which the most abundant species repeat themselves in high densities in different remnants. However, the floristic composition of each remnant is strongly variable, contributing to the increase of regional diversity. © 2008 Springer Science+Business Media B.V.

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The objective of this work was to study spatial variability of some chemical soil attributes and lettuce production (total shoot fresh matter mass - MF; commercial shoot fresh matter mass - MFC; commercial shoot dry matter mass - MCS; and head commercial diameter - DCC) offering subsidies to the protected environment mapping in nutrients management areas in lettuce culture aiming for a higher productivity with application of fertilizers. The experiment was conducted in a protective environment (greenhouse) with lettuce irrigated by drip irrigation and sampling grid with 152 points. The special dependence analysis, determined by the variogram, was obtained with the aid of the GS+ Program. Considering the need for crop nutrients through the map obtained for element P (phosphorus) it was possible to establish two distinct areas for the application of this element in plantation fertilization. Through the lettuce yield maps obtained with MFC and DCC attributes was difficult to establish distinct areas for its management with data observed in only one crop cycle. Krigagem has proved useful for mapping the attributes studied.

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The purpose of this study was to estimate the varieties of coffee Arabic Catucáand Catuaí productivity, in Zona da Mata, Minas Gerais, through agrometeorological mathematical models, considering the spatial variability of productivity in the area. The samplings were georrefered building an irregular grid, totalizing 50 samplings per area. After that, geostatic analysis was made to quantify spatial dependence degree of the real values and the estimated productivity. According to the classification, the models superestimated the productivity for the two varieties.

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The spatial variability of several soil attributes (bulk density, penetration resistance, water content, organic matter content and pH) as well as soybean yield have been assessed during the 2007/08 growing season, in Selviria (MS) in a Hapludox (Typic Acrustox), under no tillage. The objectives were to assess the spatial variability of soil and plant parameters at the small plot scale and to select the best soil attribute explaining most the variability of agricultural productivity. Soil and plant were sampled on a grid with 121 points within a plot of 25,600 m 2 in area and slope of 0.025 mm -1 slope. Medium and low coefficients of variation were obtained for most of the studied soil attributes as expected, due to the homogenizing effect of the no-till system on the soil physical environment. From the standpoint of linear regression and spatial pattern of variability, productivity of soybeans could be explained according to the hydrogen potential (pH). Results are discussed taken into account that the soybean crop in no-tillage is widely used in crop-livestock integration on the national scene.

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Predicting and mapping productivity areas allows crop producers to improve their planning of agricultural activities. The primary aims of this work were the identification and mapping of specific management areas allowing coffee bean quality to be predicted from soil attributes and their relationships to relief. The study area was located in the Southeast of the Minas Gerais state, Brazil. A grid containing a total of 145 uniformly spaced nodes 50 m apart was established over an area of 31. 7 ha from which samples were collected at depths of 0. 00-0. 20 m in order to determine physical and chemical attributes of the soil. These data were analysed in conjunction with plant attributes including production, proportion of beans retained by different sieves and drink quality. The results of principal component analysis (PCA) in combination with geostatistical data showed the attributes clay content and available iron to be the best choices for identifying four crop production environments. Environment A, which exhibited high clay and available iron contents, and low pH and base saturation, was that providing the highest yield (30. 4l ha-1) and best coffee beverage quality (61 sacks ha-1). Based on the results, we believe that multivariate analysis, geostatistics and the soil-relief relationships contained in the digital elevation model (DEM) can be effectively used in combination for the hybrid mapping of areas of varying suitability for coffee production. © 2012 Springer Science+Business Media New York.

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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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Changing precipitation patterns and temperature relate directly to water resources and water security. This report presents the findings of an assessment of the water sector in Grenada with respect to the projected impact of climate change. Grenada‘s water resources comprise primarily surface water, with an estimated groundwater potential to satisfy about 10%-15% of the present potable requirement. On the smaller islands Carriacou and Petite Martinique, domestic water is derived exclusively from rainwater catchments. Rainfall seasonality is marked and the available surface water during the dry season declines dramatically. Changing land use patterns, increase in population, expansion in tourism and future implementation of proposed irrigation schemes are projected to increase future water requirements. Economic modeling approaches were implemented to estimate sectoral demand and supply between 2011 and 2050. Residential, tourism and domestic demand were analysed for the A2, B2 and BAU scenarios as illustrated. The results suggest that water supply will exceed forecasted water demand under B2 and BAU during all four decades. However under the A2 scenario, water demand will exceed water supply by the year 2025. It is important to note that the model has been constrained by the omission of several key parameters, and time series for climate indicators, data for which are unavailable. Some of these include time series for discharge data, rainfall-runoff data, groundwater recharge rates, and evapotranspiration. Further, the findings which seem to indicate adequacy of water are also masked by seasonality in a given year, variation from year to year, and spatial variation within the nation state. It is imperative that some emphasis be placed on data generation in order to better project for the management of Grenada‘s water security. This analysis indicates the need for additional water catchment, storage and distribution infrastructure, as well as institutional strengthening, in order to meet the future needs of the Grenadian population. Strategic priorities should be adopted to increase water production, increase efficiency, strengthen the institutional framework, and decrease wastage. Grenada has embarked on several initiatives that can be considered strategies toward adaptation to the variabilities associated with climate change. The Government should ensure that these programs be carried out to the optimal levels for reasons described above. The ―no-regrets approach‖ which intimates that measures will be beneficial with or without climate change should be adopted. A study on the Costs of Inaction for the Caribbean in the face of climate change listed Grenada among the countries which would experience significant impacts on GDP between now and 2100 without adaptation interventions. Investment in the water sector is germane to building Grenada‘s capacity to cope with the multivariate impact of changes in the parameters of climate.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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A Amazônia é a região que apresenta a maior riqueza de aves do planeta. Para que se possa entender a origem e os processos de manutenção dessa diversidade, são necessários estudos detalhados sobre os padrões de variação espacial das assembléias de aves por meio de comparações em diferentes escalas espaciais. Além disso, é essencial que se faça uma abordagem que integre os diversos fatores que podem estar interagindo e influenciando esses padrões. Esta tese é composta de três capítulos. No primeiro capítulo, a composição, as características ecológicas e os padrões de vulnerabilidade da avifauna da Estação Científica Ferreira Penna (ECFPn), Amazônia Oriental, são descritos. Uma lista de espécies atualizada para a área, com informações sobre o status de abundância, guilda trófica e tipo de hábitat, foi gerada. A vulnerabilidade das espécies foi acessada com base na avaliação dos padrões de raridade. No segundo capítulo, a avifauna da ECFPn é contextualizada regionalmente por meio da comparação da composição de espécies de diversos sítios representativos das áreas de endemismo definidas para aves na Amazônia. Foram consideradas diferentes categorias taxonômicas e ecológicas nessas análises, a fim de verificar se os padrões de distribuição diferem entre essas categorias e que fatores podem influenciar nos padrões apresentados. Por fim, o terceiro capítulo analisa a variação espacial da riqueza, abundância e similaridade em seis sítios de 100 ha ao longo de uma paisagem homogênea dominada por florestas de terra firme na ECFPn. As variações encontradas foram correlacionadas com a distância geográfica e com a estrutura da vegetação. A combinação desses estudos representa a ampliação do conhecimento sobre a avifauna na área de endemismo Xingu, além de utilizar pela primeira vez abordagens originais para investigar os padrões de distribuição da avifauna na Amazônia em várias escalas espaciais.

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A partir da hipótese de que a salinidade influencia fortemente a comunidade zooplanctônica, o objetivo deste trabalho é analisar a influência deste fator sobre essa comunidade no estuário do rio Quatipuru, Estado do Pará. Foram realizadas amostragens zooplanctônicas e de variáveis físicas e químicas da água ao longo do estuário, contemplando diferentes faixas de salinidade. As coletas foram realizadas em marés vazantes e enchentes. Os resultados mostraram que este estuário possui uma variação temporal de características física, química e biológica. A salinidade, em especial, sofreu variações decorrentes das mudanças de marés, bem como da variação sazonal da pluviosidade. A salinidade variou de 1,4 a 33,5 ups no período seco e de 0 a 17,9 ups no período chuvoso. Esta amplitude de salinidade possibilitou determinar para área diferentes condições hidrológicas (limnética, oligohalina, meso-polihalina e euhalina). Foram identificados 48 taxa, destacando os Copepoda como o grupo mais importante em termos quali-quantitativos, sendo adultos de Parvocalanus crassirostris, Pseudodiaptomus richardi, Acartia tonsa, Acartia lilljeborgi, Paracalanus quasimodo, Euterpina acutifrons e copepoditos os principais responsáveis pela sua dominância. Mollusca foi o segundo grupo dominante, onde véligeres de gastrópodes representaram 95% do total. A densidade total do zooplancton variou entre 993, 9 e 13254,7 Ind. m-3 no verão e entre 944, 3 e 35908,8 Ind. m-3 no inverno. As maiores abundância em maio e novembro foram em ocasião de maré vazante e enchente, respectivamente. Os baixos valores de diversidade e equitabilidade encontrados na faixa zero na condição de enchente mostram o predomínio de determinado grupo sobre os demais (larvas de Gastropoda). A maior diversidade e uniformidade da comunidade zooplanctônica ocorreram no verão. A comunidade zooplanctônica respondeu as variações de salinidade com espécies adaptadas aos maiores valores de salinidade na porção inferior do estuário, no verão, assim como espécies adaptadas as condições de mixohalinização na porção mais a montante, em maio. A maior abundância de copepoditos esteve associada negativamente com a salinidade, demonstrando que as espécies que estão recrutando os copepoditos são mais estuarinas verdadeiras do que costeiras. As análises de agrupamento e de componentes principais revelou grupos definidos, distribuídos em diferentes faixas de salinidade, este parâmetro sozinho explicou 56% (p=0,028) da variação da fauna no estuário do rio Quatipuru. A distribuição dos organismos, de uma maneira geral, esteve de acordo com a hipótese de que a salinidade influencia fortemente a comunidade zooplanctônica no sistema estuarino de Quatipuru - Pará.