Comparison between detailed digital and conventional soil maps of an area with complex geology

Since different pedologists will draw different soil maps of a same area, it is important to compare the differences between mapping by specialists and mapping techniques, as for example currently intensively discussed Digital Soil Mapping. Four detailed soil maps (scale 1:10.000) of a 182-ha sugarcane farm in the county of Rafard, São Paulo State, Brazil, were compared. The area has a large variation of soil formation factors. The maps were drawn independently by four soil scientists and compared with a fifth map obtained by a digital soil mapping technique. All pedologists were given the same set of information. As many field expeditions and soil pits as required by each surveyor were provided to define the mapping units (MUs). For the Digital Soil Map (DSM), spectral data were extracted from Landsat 5 Thematic Mapper (TM) imagery as well as six terrain attributes from the topographic map of the area. These data were summarized by principal component analysis to generate the map designs of groups through Fuzzy K-means clustering. Field observations were made to identify the soils in the MUs and classify them according to the Brazilian Soil Classification System (BSCS). To compare the conventional and digital (DSM) soil maps, they were crossed pairwise to generate confusion matrices that were mapped. The categorical analysis at each classification level of the BSCS showed that the agreement between the maps decreased towards the lower levels of classification and the great influence of the surveyor on both the mapping and definition of MUs in the soil map. The average correspondence between the conventional and DSM maps was similar. Therefore, the method used to obtain the DSM yielded similar results to those obtained by the conventional technique, while providing additional information about the landscape of each soil, useful for applications in future surveys of similar areas.

Involvement of 4E-BP1 in the protection induced by HDLs on pancreatic beta cells.

High-density lipoproteins (HDLs) protect pancreatic beta cells against apoptosis. This property might relate to the increased risk to develop diabetes in patients with low HDL blood levels. The mechanisms by which HDLs protect beta cells are poorly characterized however. Here we used a transcriptomic approach to identify genes differentially modulated by HDLs in beta cells subjected to apoptotic stimuli. The transcript encoding 4E-BP1 was up-regulated by serum starvation and HDLs blocked this increase. 4E-BP1 inhibits cap-dependent translation in its non- or hypo-phosphorylated state but it looses this ability when hyper-phosphorylated. At the protein level, 4E-BP1 was also up-regulated in response to starvation and IL1beta and this was blunted by HDLs. While an ectopic increase of 4E-BP1 expression induced beta cell death, silencing 4E-BP1 increase with shRNAs inhibited the apoptotic-inducing capacities of starvation. HDLs can therefore protect beta cells by blocking 4E-BP1 protein expression but this is not the sole protective mechanism activated by HDLs. Indeed, HDLs blocked apoptosis induced by ER stress with no associated decrease in total 4E-BP1 induction. Although, HDLs favored the phosphorylation, and hence the inactivation of 4E-BP1 in these conditions, this appeared not to be required for HDL protection. Our results indicate that HDLs can protect beta cells through modulation of 4E-BP1 depending on the type of stress stimuli.

Método do hipercubo latino condicionado para a amostragem de solos na presença de covariáveis ambientais visando o mapeamento digital de solos

A amostragem é uma das etapas mais importantes dos levantamentos de solos. No entanto, os esquemas de amostragem utilizados nos levantamentos convencionais têm se evidenciado inadequados para o mapeamento digital de solos, pois podem comprometer os resultados e, além disso, não possibilitam a realização de análises estatísticas. Este estudo teve por objetivo avaliar o método de amostragem do hipercubo latino condicionado (cLHS, sigla em inglês), na presença de covariáveis ambientais (elevação, declividade, curvatura e mapa de uso e cobertura do solo), em comparação com a amostragem aleatória, na alocação de 100 pontos amostrais, buscando maior representatividade das características ambientais da bacia do rio Guapi-Macacu. O desempenho dos métodos foi avaliado pela análise qualitativa dos histogramas de frequência e das análises estatísticas pelos testes F, T de Student e Kolmogorov-Smirnov (K-S), para cada covariável. Os resultados apresentaram que os pontos selecionados pelo método cLHS possuíam distribuição geográfica mais adequada do que aqueles obtidos pela amostragem aleatória. Além disso, o método cLHS preservou mais a distribuição de frequência das covariáveis contínuas do que a amostragem aleatória; para covariável categórica uso e cobertura do solo os métodos foram equivalentes. Os testes estatísticos confirmaram o melhor desempenho do método cLHS, cujas amostras não diferiram estatisticamente da bacia. Entretanto, a amostragem aleatória apresentou diferença estatística para com a bacia, para todas as covariáveis contínuas para pelo menos um dos testes utilizados. Assim, o método cLHS pode ser considerado como um método satisfatório para seleção de locais de amostragem em áreas heterogêneas similares as deste estudo, visando a utilização no mapeamento digital de solos.

Evaluation of statistical and geostatistical models of digital soil properties mapping in tropical mountain regions

Soil properties have an enormous impact on economic and environmental aspects of agricultural production. Quantitative relationships between soil properties and the factors that influence their variability are the basis of digital soil mapping. The predictive models of soil properties evaluated in this work are statistical (multiple linear regression-MLR) and geostatistical (ordinary kriging and co-kriging). The study was conducted in the municipality of Bom Jardim, RJ, using a soil database with 208 sampling points. Predictive models were evaluated for sand, silt and clay fractions, pH in water and organic carbon at six depths according to the specifications of the consortium of digital soil mapping at the global level (GlobalSoilMap). Continuous covariates and categorical predictors were used and their contributions to the model assessed. Only the environmental covariates elevation, aspect, stream power index (SPI), soil wetness index (SWI), normalized difference vegetation index (NDVI), and b3/b2 band ratio were significantly correlated with soil properties. The predictive models had a mean coefficient of determination of 0.21. Best results were obtained with the geostatistical predictive models, where the highest coefficient of determination 0.43 was associated with sand properties between 60 to 100 cm deep. The use of a sparse data set of soil properties for digital mapping can explain only part of the spatial variation of these properties. The results may be related to the sampling density and the quantity and quality of the environmental covariates and predictive models used.

Comparação do uso de modelos digitais de elevação em mapeamento digital de solos em Dois Irmãos, RS, Brasil

Os modelos digitais de elevação (MDEs) são fontes fundamentais para correlacionar a ocorrência e distribuição de solos com a paisagem pelo mapeamento digital de solos (MDS). A influência dos tipos e das resoluções dos MDEs na capacidade de predição dos modelos preditores de classes de solo ainda é pouco estudada. Neste estudo, foram avaliados e comparados os efeitos de diferentes MDEs na predição de ocorrência de unidades de mapeamento de solo (UM). Foram correlacionados 12 atributos do terreno derivados de diferentes MDEs com a ocorrência de UM. Os MDEs utilizados foram os oriundos dos projetos SRTM v4.1, ASTER GDEM v2, TOPODATA e Brasil em Relevo, e os MDEs gerados a partir de curvas de nível na escala de 1:50.000, com resoluções de 30 e 90 m. Os modelos preditores foram treinados por árvore de decisão (Simple Cart) com dados amostrados em 4.280 pontos aleatórios contendo informações dos solos extraídos de um mapa convencional de solos na escala 1:20.000 e 12 atributos do terreno derivados de seis MDEs com tamanhos de pixel de 30 e 90 m. A validação dos modelos preditores de UM foi realizada com a totalidade dos dados da área. Os atributos do terreno que melhor explicaram a ocorrência das UM foram elevação, declividade, comprimento de fluxo e orientação das vertentes. Os MDEs com tamanho de pixel de 30 m geraram correlações solo-paisagem menos acuradas. Os modelos preditores mais acurados e com maior número de UM estimadas foram os gerados a partir dos MDEs com resolução espacial de 90 m (SRTM v4.1 e CN90), sendo esses os MDEs mais indicados para o MDS, quando predominarem relevos plano e suave ondulado.

Mapeamento digital de atributos: granulometria e matéria orgânica do solo utilizando espectroscopia de de reflectância difusa

A espectroscopia de reflectância difusa (ERD) pode ser utilizada como alternativa para quantificação de atributos como granulometria e matéria orgânica do solo (MOS). Essa técnica pode ser opção para quantificar esses atributos em grande volume de amostras de solos, visto ser rápida, com menor custo e sem a geração de resíduos químicos. O objetivo deste estudo foi desenvolver modelos usando análise de regressão linear múltipla para predizer o teor de argila, areia, silte e MOS, utilizando dados de ERD em uma área de relevo e geologia complexa localizada na região central do Rio Grande do Sul. No estudo, foram utilizadas 303 amostras coletadas na profundidade de 0,00-0,20 m para determinar os teores de argila, areia, silte e MOS por meio da análise laboratorial e de reflectância espectral. O desempenho dos modelos de predição apresentaram bons resultados, com capacidade de explicação da variância de 77 e 72 % para areia e argila, respectivamente. Mesmo com a complexidade geológica e pedológica, os resultados evidenciaram que a técnica é promissora, sendo possível a aplicação dessa técnica para predição da granulometria e teor de MOS.

COMPARAÇÃO DE ESQUEMAS DE AMOSTRAGEM PARA TREINAMENTO DE MODELOS PREDITORES NO MAPEAMENTO DIGITAL DE CLASSES DE SOLOS

Os modelos preditores usados no mapeamento digital de solos (MDS) precisam ser treinados com dados que captem ao máximo a variação dos atributos do terreno e dos solos, a fim de gerar correlações adequadas entre as variáveis ambientais e a ocorrência dos solos. Para avaliar a acurácia desses modelos, tem sido constatado o uso de diferentes métodos de avaliação da acurácia no MDS. Os objetivos deste estudo foram comparar o uso de três esquemas de amostragem para treinar algoritmo de árvore de classificação (CART) e avaliar a capacidade de predição dos modelos gerados por meio de quatro métodos. Foram utilizados os esquemas de amostragem: aleatório simples; proporcional à área de cada unidade de mapeamento de solos (UM); e estratificado pelo número de UM. Os métodos de avaliação testados foram: aparente, divisão percentual, validação cruzada com 10 subconjuntos e reamostragem com sete conjuntos de dados independentes. As acurácias dos modelos estimadas pelos métodos foram comparadas com as acurácias mensuradas obtidas pela comparação dos mapas gerados, a partir de cada esquema de amostragem, com o mapa convencional de solos na escala 1:50.000. Os esquemas de amostragem influenciaram na quantidade de UMs preditas e na acurácia dos modelos e dos mapas gerados. Os esquemas de amostragem proporcional e estratificada resultaram mapas digitais menos acurados, e a acurácia dos modelos variou conforme o método de avaliação empregado. A amostragem aleatória resultou no mapa digital mais acurado e apresentou valores da acurácia semelhantes para todos os métodos de avaliação testados.

PAR2 Promotes Vaccine-Induced Protection Against Helicobacter Infection in Mice.

BACKGROUND & AIMS: Protective immunization limits Helicobacter infection of mice by undetermined mechanisms. Protease-activated receptor 2 (PAR2) signaling is believed to regulate immune and inflammatory responses. We investigated the role of PAR2 in vaccine-induced immunity against Helicobacter infection. METHODS: Immune responses against Helicobacter infection were compared between vaccinated PAR2(-/-) and wild-type (WT) mice. Bacterial persistence, gastric pathology, and inflammatory and cellular responses were assessed using the rapid urease test (RUT), histologic analyses, quantitative polymerase chain reaction, and flow cytometry, respectively. RESULTS: Following vaccination, PAR2(-/-) mice did not have reductions in Helicobacter felis infection (RUT values were 0.01 ± 0.01 for WT mice and 0.11 ± 0.13 for PAR2(-/-) mice; P < .05). The vaccinated PAR2(-/-) mice had reduced inflammation-induced stomach tissue damage (tissue damage scores were 8.83 ± 1.47 for WT mice and 4.86 ± 1.35 for PAR2(-/-) mice; P < .002) and reduced T-helper (Th)17 responses, based on reduced urease-induced interleukin (IL)-17 secretion by stomach mononuclear cells (5182 ± 1265 pg/mL for WT mice and 350 ± 436 pg/mL for PAR2(-/-) mice; P < .03) and reduced recruitment of CD4(+) IL-17(+) T cells into the gastric mucosa of PAR2(-/-) mice following bacterial challenge (3.7% ± 1.5% for WT mice and 2.6% ± 1.1% for PAR2(-/-) mice; P < .05). In vitro, H felis-stimulated dendritic cells (DCs) from WT mice induced greater secretion of IL-17 by ovalbumin-stimulated OT-II transgenic CD4(+) T cells compared with DCs from PAR2(-/-) mice (4298 ± 347 and 3230 ± 779; P < .04), indicating that PAR2(-/-) DCs are impaired in priming of Th17 cells. Adoptive transfer of PAR2(+/+) DCs into vaccinated PAR2(-/-) mice increased vaccine-induced protection (RUT values were 0.11 ± 0.10 and 0.26 ± 0.15 for injected and noninjected mice, respectively; P < .03). CONCLUSIONS: PAR2 activates DCs to mediate vaccine-induced protection against Helicobacter infection in mice.

Spatial analysis of erythrocyte membrane fluctuations by digital holographic microscopy.

Red blood cell (RBC) membrane fluctuations provide important insights into cell states. We present a spatial analysis of red blood cell membrane fluctuations by using digital holographic microscopy (DHM). This interferometric and dye-free technique, possessing nanometric axial and microsecond temporal sensitivities enables to measure cell membrane fluctuations (CMF) on the whole cell surface. DHM acquisition is combined with a model which allows extracting the membrane fluctuation amplitude, while taking into account cell membrane topology. Uneven distribution of CMF amplitudes over the RBC surface is observed, showing maximal values in a ring corresponding to the highest points on the RBC torus as well as in some scattered areas in the inner region of the RBC. CMF amplitudes of 35.9+/-8.9 nm and 4.7+/-0.5 nm (averaged over the cell surface) were determined for normal and ethanol-fixed RBCs, respectively.

SELEÇÃO DE DENSIDADE DE AMOSTRAGEM COM BASE EM DADOS DE ÁREAS JÁ MAPEADAS PARA TREINAMENTO DE MODELOS DE ÁRVORE DE DECISÃO NO MAPEAMENTO DIGITAL DE SOLOS

Para estudar técnicas de amostragem, úteis ao mapeamento digital de solos (MDS), objetivou-se avaliar o efeito da variação da densidade de pontos amostrais com base em dados de áreas já mapeadas por métodos tradicionais na acurácia dos modelos de árvores de decisão (AD) para a geração de mapas de solos por MDS. Em duas bacias hidrográficas no noroeste do Rio Grande do Sul, usou-se, como referência, antigos mapas convencionais de solos na escala 1:50.000. A partir do modelo digital de elevação do terreno e da rede hidrográfica, foram gerados mapas das variáveis preditoras: elevação, declividade, curvatura, comprimento de fluxo, acúmulo de fluxo, índice de umidade topográfica e distância euclideana de rios. A escolha dos locais dos pontos amostrais foi aleatória e testaram-se densidades amostrais que variaram de 0,1 a 4 pontos/ha. O treinamento dos modelos foi realizado no software Weka, gerando-se modelos preditores usando diferentes tamanhos do nó final da AD para obter AD com tamanhos distintos. Quando não se controlou o tamanho das AD, o aumento da densidade de amostragem resultou no aumento da concordância com os mapas básicos de referências e no aumento do número de unidades de mapeamento preditas. Nas AD com tamanho controlado, o aumento da densidade de amostragem não influenciou a concordância com os mapas de referência e interferiu muito pouco no número de unidades de mapeamento preditas.

Multiple Geotechnological Tools Applied to Digital Mapping of Tropical Soils

ABSTRACT In recent years, geotechnologies as remote and proximal sensing and attributes derived from digital terrain elevation models indicated to be very useful for the description of soil variability. However, these information sources are rarely used together. Therefore, a methodology for assessing and specialize soil classes using the information obtained from remote/proximal sensing, GIS and technical knowledge has been applied and evaluated. Two areas of study, in the State of São Paulo, Brazil, totaling approximately 28.000 ha were used for this work. First, in an area (area 1), conventional pedological mapping was done and from the soil classes found patterns were obtained with the following information: a) spectral information (forms of features and absorption intensity of spectral curves with 350 wavelengths -2,500 nm) of soil samples collected at specific points in the area (according to each soil type); b) obtaining equations for determining chemical and physical properties of the soil from the relationship between the results obtained in the laboratory by the conventional method, the levels of chemical and physical attributes with the spectral data; c) supervised classification of Landsat TM 5 images, in order to detect changes in the size of the soil particles (soil texture); d) relationship between classes relief soils and attributes. Subsequently, the obtained patterns were applied in area 2 obtain pedological classification of soils, but in GIS (ArcGIS). Finally, we developed a conventional pedological mapping in area 2 to which was compared with a digital map, ie the one obtained only with pre certain standards. The proposed methodology had a 79 % accuracy in the first categorical level of Soil Classification System, 60 % accuracy in the second category level and became less useful in the categorical level 3 (37 % accuracy).

Protection of Structural Concrete Substructures, HR-220, December 1992

In the past, many pier columns were deteriorating due to attack by chlorides. The chloride (from deicers) has attacked the substructures by drainage from the superstructure. Piers supporting grade separation bridges are also subject to chlorides contained in the direct splash from lower level traffic. Repairs of these piers are both difficult and costly. In this project, four different sealants were applied to piers to evaluate their use in the protection of the concrete against chloride-ions. One pier was left untreated to use as a control pier with which to compare the protected piers. This project began in 1980 and was to be completed in 1985, but at that time it was determined further testing was needed to make a more conclusive evaluation.

CCL17 Promotes Intestinal Inflammation in Mice and Counteracts Regulatory T Cell-Mediated Protection From Colitis.

BACKGROUND & AIMS: Priming of T cells by dendritic cells (DCs) in the intestinal mucosa and associated lymphoid tissues helps maintain mucosal tolerance but also contributes to the development of chronic intestinal inflammation. Chemokines regulate the intestinal immune response and can contribute to pathogenesis of inflammatory bowel diseases. We investigated the role of the chemokine CCL17, which is expressed by conventional DCs in the intestine and is up-regulated during colitis. METHODS: Colitis was induced by administration of dextran sodium sulfate (DSS) to mice or transfer of T cells to lymphopenic mice. Colitis activity was monitored by body weight assessment, histologic scoring, and cytokine profile analysis. The direct effects of CCL17 on DCs and the indirect effects on differentiation of T helper (Th) cells were determined in vitro and ex vivo. RESULTS: Mice that lacked CCL17 (Ccl17(E/E) mice) were protected from induction of severe colitis by DSS or T-cell transfer. Colonic mucosa and mesenteric lymph nodes from Ccl17-deficient mice produced lower levels of proinflammatory cytokines. The population of Foxp3(+) regulatory T cells (Tregs) was expanded in Ccl17(E/E) mice and required for long-term protection from colitis. CCR4 expression by transferred T cells was not required for induction of colitis, but CCR4 expression by the recipients was required. CCL17 promoted Toll-like receptor-induced secretion of interleukin-12 and interleukin-23 by DCs in an autocrine manner, promoted differentiation of Th1 and Th17 cells, and reduced induction of Foxp3(+) Treg cells. CONCLUSIONS: The chemokine CCL17 is required for induction of intestinal inflammation in mice. CCL17 has an autocrine effect on DCs that promotes production of inflammatory cytokines and activation of Th1 and Th17 cells and reduces expansion of Treg cells.