Variabilidade espacial de atributos do solo em uma pedossequência de transição vereda cerrado

• Ano de defesa: 2016
• Autor(a) principal: Ferreira, Daniel Barcelos
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Uberlândia; Brasil; Programa de Pós-graduação em Agronomia
• Palavras-chave em Português: Geoestatística; Geostatistics; Mapas; Maps; Matéria orgânica; Organic matter; Plantio convencional; Conventional planting; Agronomia; Agronomy; Estatística agrícola; Agricultural statistics; CNPQ::CIENCIAS AGRARIAS
• Link de acesso: https://repositorio.ufu.br/handle/123456789/21672; http://dx.doi.org/10.14393/ufu.di.2018.289

Data collection was carried out in a transitional area, located in a farm in the rural region of Uberaba-MG, where part of the researched area consists of a conventional corn plantation and the other part consists of an area of permanent preservation (APP), with the objective of mapping out the spacial behavior of the analyzed attributes (humidity, density, porosity) in a pedologic sequence in which a variation of moisture occurs due to the transition between a planted area and a preserved area. A collection grid was established, fixating a rectangular mesh with 84 points, distributed at regular intervals of 5 meters covering a region of 30 x 70 meters, in a total area of 2.100 square meters. The following indexes were determined: the emission of carbon dioxide, soil humidity, density, porosity, organic carbon levels, total nitrogen, levels of carbon in fractions of fulvic acid and humic acid and microbial biomass. From the set of values obtained from the samples, maps of the spacial patterns were generated and the attributes analyzed were related using a statistical method named Pearson's correlation. In the descending direction of the slope, from preserved area into planted area, the spacial distribution maps show that levels of organic carbon, nitrogen, organic matter, humic acid, fulvic acid, total porosity and volume humidity clearly decrease. As for global density and microbial biomass in soil, the levels increase in the descending direction of the slope in the spatial distribution maps obtained.