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Geomorphometric tool associated with soil types and properties spatial variability at watersheds under tropical conditions
Silva, Sérgio Henrique Godinho; Menezes, Michele Duarte de; Mello, Carlos Rogério de; Góes, Helen Thaís Pereira de; Owens, Phillip Ray; Curi, Nilton.
Afiliação
  • Silva, Sérgio Henrique Godinho; Federal University of Lavras. Dept. of Soil Science. Lavras. Brasil
  • Menezes, Michele Duarte de; Federal University of Lavras. Dept. of Soil Science. Lavras. Brasil
  • Mello, Carlos Rogério de; Federal University of Lavras. Dept. of Engineering. Lavras. Brasil
  • Góes, Helen Thaís Pereira de; Federal University of Lavras. Dept. of Soil Science. Lavras. Brasil
  • Owens, Phillip Ray; Purdue University. Dept. of Agronomy. Lily Hall of Life Sciences. West Lafayette. Estados Unidos da América
  • Curi, Nilton; Federal University of Lavras. Dept. of Soil Science. Lavras. Brasil
Sci. agric. ; 73(4): 363-370, 2016. graf, mapas, tab
Article em En | VETINDEX | ID: vti-16048
Biblioteca responsável: BR68.1
Localização: BR68.1
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, determined at three spatial resolutions and nine radii, and soil types and properties of two watersheds with different soil-landscape relationships in Brazil to help soil surveying and mapping under tropical conditions. The study was conducted at Lavrinha Creek (LCW) and Marcela Creek (MCW) watersheds, located in the state of Minas Gerais, Brazil. Spatial resolutions of 10, 20 and 30 m were the basis for generating Geomorphons at 9 radii of calculation for the watersheds. They were overlapped to detailed soil maps of the watersheds and a chi-square test was carried out to assess their relationship with soil types. Observation points were compared with the most highly correlated Geomorphons to also assess relationships with soil properties. Geomorphons with resolution of 30-m and radii of 20 and 50 cells, respectively for LCW and MCW, were more highly correlated with the variability of soil types, in accordance with the terrain features of these watersheds. The majority of observation points for each soil type was located in the same Geomorphon unit that was dominant when analyzing soil maps. There was less variability in soil properties between Geomorphon units, which was probably due to the highly weathered-leached stage of soils. Geomorphons can help to improve soil maps in tropical conditions when assessing soil variability due to its high correlation with tropical soil types variability.(AU)
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Texto completo: 1 Base de dados: VETINDEX Assunto principal: Características do Solo / Bacias Hidrográficas / Zona Tropical / Mapeamento Geográfico Idioma: En Revista: Sci. agric / Sci. agric. Ano de publicação: 2016 Tipo de documento: Article
Texto completo
Adicionar na Minha BVS
Imprimir
XML
Buscar no Google

Texto completo: 1 Base de dados: VETINDEX Assunto principal: Características do Solo / Bacias Hidrográficas / Zona Tropical / Mapeamento Geográfico Idioma: En Revista: Sci. agric / Sci. agric. Ano de publicação: 2016 Tipo de documento: Article