Soil Profiles
Mostrando 13-24 de 276 artigos, teses e dissertações.
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13. Genesis of sandstone-derived soils in the Cerrado of the Piauí State, Brazil
Resumo Objetivou-se com este trabalho caracterizar atributos morfológicos, físicos e químicos de solos formados a partir de arenitos no Cerrado Piauiense, na tentativa de encontrar padrões evolutivos. O estudo foi realizado em cinco perfis de solos representativos identificados como P1-RY (Neossolo Flúvico Psamítico típico - Aquents), P2-PA (Argissolo
Rev. Ambient. Água. Publicado em: 15/07/2019
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14. Multifractal analysis of soil penetration resistance under sugarcane cultivation
RESUMO A resistência do solo à penetração (RP) é uma medida indireta do estado de compactação do solo. Assim, o objetivo deste trabalho foi caracterizar a RP em perfis verticais em uma área cultivada com cana-de-açúcar por meio de modelos multifractais para diferentes unidades de relevo. O experimento foi realizado em Latossolo Vermelho Amarelo tex
Rev. bras. eng. agríc. ambient.. Publicado em: 10/07/2019
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15. Estimation of elemental composition of agricultural soils from West Azerbaijan, Iran, using mid-infrared spectral models
RESUMO A caracterização da composição elementar fornece informações úteis para caracterizar o grau de alteração dos solos. Em Miandoab, norte do Irã, esta caracterização não existe. Os objetivos deste trabalho foram avaliar o grau de intemperismo dos solos típicos da região usando a sua composição elementar e estimar esta composição usando
Rev. bras. eng. agríc. ambient.. Publicado em: 01/07/2019
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16. Field Perception of the Boundary Between Soil and Saprolite by Pedologists and its Differentiation Using Mathematical Models
ABSTRACT Saprolite plays a central role into hydrologic and nutrient cycles. Despite that, saprolite research is scattered and uses heterogeneous, sometimes conflicting, methods and concepts. During field work, it is difficult to assign the boundary between soil and saprolite. This paper aimed to identify the subjacent logic that pedologists use to assign to
Rev. Bras. Ciênc. Solo. Publicado em: 27/06/2019
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17. WIND EFFECTS ON FOUNDATIONS OF SILOS AND LIGHT STRUCTURES: SOLUTION BY USE OF STEEL PILES IN DIABASIC SOIL
ABSTRACT Wind solicitations generate horizontal, tensile, and compressive stresses on building foundations. In empty light structures, such as agricultural greenhouses and, in the specific case of silos and elevated structures such as metal water tanks, the consideration of these loads becomes important because the lack of the weight component due to the sto
Eng. Agríc.. Publicado em: 19/06/2019
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18. Pedogenesis in a topo-climosequence in the Agreste region of Pernambuco
RESUMO O Planalto da Borborema é caracterizado pelos diferentes estágios de evolução do relevo, modificando o clima e a vegetação, sendo observadas florestas tropicais, (brejos de altitude), circundado por caatinga. O objetivo deste trabalho foi caracterizar os solos de uma topoclimossequência no agreste pernambucano, avaliandoa influência do relevo
Rev. Ciênc. Agron.. Publicado em: 2019-06
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19. Amazonian dark earths in the fertile floodplains of the Amazon River, Brazil: an example of non-intentional formation of anthropic soils in the Central Amazon region
Resumo Terras Pretas de Índio (TPI) são solos com elevada fertilidade criados pelas sociedades ameríndias pré-colombianas na bacia amazônica. Ainda não existe um consenso se esses solos foram formados intencionalmente para melhorar a fertilidade dos solos distróficos de terra firme da Amazônia ou se resultaram da acumulação de material orgânico em
Bol. Mus. Para. Emílio Goeldi. Ciênc. hum.. Publicado em: 29/04/2019
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20. Genesis and Classification of Nitisols from Volcano-Sedimentary Lithology in Northeastern Brazil
ABSTRACT On the southern coast of Pernambuco State (PE), Brazil, lithotypes of the Cabo Basin (volcanic and sedimentary rocks), in association with the relief, allow the determination of the dynamics of the formation of Nitossolos Háplicos (Nitisols), including those with high levels of exchangeable aluminum. The objective of this study was to evaluate the
Rev. Bras. Ciênc. Solo. Publicado em: 14/02/2019
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21. Mineralogical and chemical attributes of soils from the Brazilian Atlantic Forest domain
ABSTRACT: The Atlantic Forest is one of the most important and yet the most devastated Brazilian biome, occupying in the past the majority of the East Atlantic Coast. Therefore, a detailed knowledge of the soils near the coastal line influenced by this biome is essential for land use and management of these environments. The aim of this study was to acquire
Sci. agric. (Piracicaba, Braz.). Publicado em: 2019-02
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22. Geochemical signatures and weathering rates in soils derived from different granites in contrasting climatic locations
ABSTRACT. We studied the mineralogical properties and chemical composition of different granites using energy dispersive X-ray spectroscopy coupled with scanning electron microscopy to understand the relationship between granite signatures and soil characteristics, including weathering patterns and soil fertility status. The discriminant analysis (DA) was ba
Acta Sci., Agron.. Publicado em: 17/12/2018
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23. Edaphic and Topographic Factors and their Relationship with Dendrometric Variation of Pinus Taeda L. in a High Altitude Subtropical Climate
ABSTRACT The study of the relationships between the yield potential of forest stands and the conditions offered for plant development is fundamental for the adequate management of the forest when aiming at sustainable high yields. However, these relations are not clear, especially in commercial forests, on rugged terrain where relationships between the lands
Rev. Bras. Ciênc. Solo. Publicado em: 06/12/2018
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24. Multivariate Analysis and Machine Learning in Properties of Ultisols (Argissolos) of Brazilian Amazon
ABSTRACT: Ultisols are the most common soil order in the Brazilian Amazon. The Legal Amazon (LA) has an area of 5 × 106 km2, with few accessible areas, which restricts studies of soils at a detailed level. The pedological properties can be estimated more efficiently using statistical procedures and machine learning techniques, tools which are capable of rec
Rev. Bras. Ciênc. Solo. Publicado em: 06/12/2018