Soil Landscape Relationships
Mostrando 1-12 de 22 artigos, teses e dissertações.
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1. 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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2. Bacterial communities in mining soils and surrounding areas under regeneration process in a former ore mine
Abstract Human activities on the Earth's surface change the landscape of natural ecosystems. Mining practices are one of the most severe human activities, drastically altering the chemical, physical and biological properties of the soil environment. Bacterial communities in soil play an important role in the maintenance of ecological relationships. This work
Braz. J. Microbiol.. Publicado em: 2018-09
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3. Mineralogy, Micromorphology, and Genesis of Soils with Varying Drainage Along a Hillslope on Granitic Rocks of the Atlantic Forest Biome, Brazil
ABSTRACT Although the physical environment of the Atlantic Forest realm is well known, studies on the soil-landform relationships are fundamental to improve the management of soil resources to facilitate sustainable development. The purpose of this study was to evaluate a representative topossequence on the “Mares de Morros” landscape of deeply weathered
Rev. Bras. Ciênc. Solo. Publicado em: 16/07/2018
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4. Spatial Disaggregation of Multi-Component Soil Map Units Using Legacy Data and a Tree-Based Algorithm in Southern Brazil
ABSTRACT Soil surveys often contain multi-component map units comprising two or more soil classes, whose spatial distribution within the map unit is not represented. Digital Soil Mapping tools supported by information from soil surveys make it possible to predict where these classes are located. The aim of this study was to develop a methodology to increase
Rev. Bras. Ciênc. Solo. Publicado em: 08/03/2018
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5. Surface Spectroscopy of Oxisols, Entisols and Inceptisol and Relationships with Selected Soil Properties
ABSTRACT: Traditional method of soil survey is expensive, slow, and must be carried out by experienced researchers. Thus, advances in soil observation technologies and the need to obtain information quickly by modern techniques have intensified the use of proximal sensing. This study characterized surface reflectance spectra (A horizon) and related them to t
Rev. Bras. Ciênc. Solo. Publicado em: 01/02/2018
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6. Hydropedology of a High Tableland with Cerrado, Brazilian Central Plateau: the Frutal Catchment Case Study
ABSTRACT: Currently, the Brazilian savanna (Cerrado) represents the main agricultural area of the country, comprising a great variety of landscapes and soils, geological formations and vegetation patterns, as well as the major watershed. We studied the hydropedology and morphometry of a representative catchment (Frutal river), on a high tableland (Chapada) i
Rev. Bras. Ciênc. Solo. Publicado em: 01/02/2018
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7. Geomorphometric tool associated with soil types and properties spatial variability at watersheds under tropical conditions
ABSTRACT The application of quantitative methods to digital soil and geomorphological mapping is becoming an increasing trend. One of these methods, Geomorphons, was developed to identify the ten most common landforms based on digital elevation models. This study aimed to make a quantitative assessment of the relationships between Geomorphons units, determin
Sci. agric. (Piracicaba, Braz.). Publicado em: 2016-08
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8. Digital soil mapping using reference area and artificial neural networks
ABSTRACT Digital soil mapping is an alternative for the recognition of soil classes in areas where pedological surveys are not available. The main aim of this study was to obtain a digital soil map using artificial neural networks (ANN) and environmental variables that express soil-landscape relationships. This study was carried out in an area of 11,072 ha l
Sci. agric. (Piracicaba, Braz.). Publicado em: 2016-06
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9. Spatial prediction of soil properties in two contrasting physiographic regions in Brazil
ABSTRACT This study compared the performance of ordinary kriging (OK) and regression kriging (RK) to predict soil physical-chemical properties in topsoil (0-15 cm). Mean prediction of error and root mean square of prediction error were used to assess the prediction methods. Two watersheds with contrasting soil-landscape features were studied, for which the p
Sci. agric. (Piracicaba, Braz.). Publicado em: 2016-06
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10. Solum depth spatial prediction comparing conventional with knowledge-based digital soil mapping approaches
Solum depth and its spatial distribution play an important role in different types of environmental studies. Several approaches have been used for fitting quantitative relationships between soil properties and their environment in order to predict them spatially. This work aimed to present the steps required for solum depth spatial prediction from knowledge-
Sci. agric. (Piracicaba, Braz.). Publicado em: 2014-08
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11. Relações pedologia-geomorfologia-sedimentologia no Pantanal Norte / Relationships pedology-geomorphology-sedimentology in the Pantanal North
As relações entre os solos, material de origem e feições geomórficas são importantes para a compreensão da distribuição dos solos na paisagem e o entendimento de sua variabilidade espacial, sobretudo em ambientes úmidos (wetlands) de natureza sedimentar complexa. Procurou-se descrever e caracterizar os ambientes deposicionais de uma área de estudo
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 30/05/2012
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12. Gradientes edáficos e sua relação com as fitofisionomias do semi-árido meridional brasileiro / Edaphic gradients and their relationship with the vegetation types of semi-arid southern Brazil
The semi-arid region in Brazil represents a significant territorial extension, where the climate is markedly seasonal, with low rainfall, high evapotranspiration and higher temperatures. Its southern portion comprises the northern boundary between the states of Minas Gerais and Bahia. This region is dominated by dry forest vegetation type, however, different
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 16/02/2012