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| Moraes,André Geraldo de Lima; Francelino,Marcio Rocha; Carvalho Junior,Waldir de; Pereira,Marcos Gervasio; Thomazini,André; Schaefer,Carlos Ernesto Gonçalves Reynaud. |
| ABSTRACT: The pattern of variation in soil and landform properties in relation to environmental covariates are closely related to soil type distribution. The aim of this study was to apply digital soil mapping techniques to analysis of the pattern of soil property variation in relation to environmental covariates under periglacial conditions at Keller Peninsula, Maritime Antarctica. We considered the hypothesis that covariates normally used for environmental correlation elsewhere can be adequately employed in periglacial areas in Maritime Antarctica. For that purpose, 138 soil samples from 47 soil sites were collected for analysis of soil chemical and physical properties. We tested the correlation between soil properties (clay, potassium, sand, organic... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Kriging; Geostatistical methods; Soil variability. |
| Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832017000100316 |
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| Souza,Cristiano Marcelo Pereira de; Thomazini,André; Schaefer,Carlos Ernesto Gonçalves Reynaud; Veloso,Gustavo Vieira; Moreira,Guilherme Musse; Fernandes Filho,Elpídio Inácio. |
| 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 recognizing patterns in a large soil database. We analyzed the main chemical and physical properties of the B horizons of the Ultisols of the Brazilian Amazon, as well as the spatial variability of the most explanatory properties of these horizons. Physical and chemical data of 1,068 profiles of the RadamBrasil Project were used. A principal component analysis (PCA) was applied and the most explanatory... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Legal Amazon; Principal component analysis; Morphostructural domains; Climatic zones. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832018000100317 |
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