Use of Scaled Semivariograms in the Planning Sample of Soil Chemical Properties in Southern Amazonas, Brazil

Oliveira, Ivanildo Amorim de; Campos, Milton César Costa; Marques, José Carlos; Aquino, Renato Eleotério de; Teixeira, Daniel De Bortoli; Silva, Douglas Marcelo Pinheiro da

doi:10.1590/01000683rbcs20150525

Cited by 20 publications

(16 citation statements)

References 29 publications

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“…Subsequently, soil samples were collected from each point in the 0.0-0.1 m depth layer to analyze soil physical properties. A detailed description of the chemical properties characterization was given by Oliveira et al (2015).…”

Section: Methodsmentioning

confidence: 99%

Use of Scaled Semivariograms in the Planning Sample of Soil Physical Properties in Southern Amazonas, Brazil

Aquino¹,

Campos

Marques³

et al. 2015

Rev. Bras. Ciênc. Solo

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There is a great lack of information from soil surveys in the southern part of the State of Amazonas, Brazil. The use of tools such as geostatistics may improve environmental planning, use and management. In this study, we aimed to use scaled semivariograms in sample design of soil physical properties of some environments in Amazonas. We selected five areas located in the south of the state of Amazonas, Brazil, with varied soil uses, such as forest, archaeological dark earth (ADE), pasture, sugarcane cropping, and agroforestry. Regular mesh grids were set up in these areas with 64 sample points spaced at 10 m from each other. At these points, we determined the particle size composition, soil resistance to penetration, moisture, soil bulk density and particle density, macroporosity, microporosity, total porosity, and aggregate stability in water at a depth of 0.00-0.20 m. Descriptive and geostatistical analyses were performed. The sample density requirements were lower in the pasture area but higher in the forest. We concluded that managed-environments had differences in their soil physical properties compared to the natural forest; notably, the soil in the ADE environment is physically improved in relation to the others. The physical properties evaluated showed a structure of spatial dependence with a slight variability of the forest compared to the others. The use of the range parameter of the semivariogram analysis proved to be effective in determining an ideal sample density.

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Section: Methodsmentioning

confidence: 99%

Use of Scaled Semivariograms in the Planning Sample of Soil Physical Properties in Southern Amazonas, Brazil

Aquino¹,

Campos

Marques³

et al. 2015

Rev. Bras. Ciênc. Solo

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“…Já os valores de alcance foram superiores na área de agrofloresta (42,11 e 33,33 m) respectivamente, enquanto que na área com cana-de-açúcar (38,10 e 18,18 m) respectivamente, confirmando a maior variabilidade espacial já encontrada nos semivariograma individuais. Trabalhos de Aquino et al (2015) e Oliveira et al (2015) desenvolvidos na região sul do Amazonas estão de acordo com os encontrados neste trabalho.…”

Section: Resultados E Discussõesunclassified

“…Estas informações podem viabilizar o trabalho em campo, uma vez que vários estudos de amostragem têm sido conduzidos visando reduzir a variabilidade das características do solo (Montanari et al, 2005;Weindorf & Zhu, 2010;Aquino et al, 2014Aquino et al, , 2015Oliveira et al, 2014Oliveira et al, , 2015. Entretando, os trabalhos normalmente, não consideram a variabilidade das amostras simples na composição da amostra composta e a forma como as glebas são definidas.…”

Section: Resultados E Discussõesunclassified

“…Alguns trabalhos têm sido desenvolvidos no estado do Amazonas, visando entender o comportamento dos atributos do solo sobre o ponto de vista espacial na região norte (Campos et al, 2012Alho et al, 2014;Aquino et al, 2014Aquino et al, , 2015Oliveira et al, 2014Oliveira et al, , 2015 entretanto, estes trabalhos ainda são incipientes dada a dimensão da região.…”

Section: Introductionunclassified

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Técnicas geoestatísticas na avaliação de atributos químicos em Cambissolo com agrofloresta e cana-de-açúcar em Humaitá, Amazonas

Aquino

Campos

Oliveira

et al. 2015

Agraria

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RESUMOExiste carência de estudos enfocando o comportamento espacial de atributos químicos no Amazonas. Neste sentido, o objetivo deste trabalho foi utilizar técnicas geoestatísticas na avaliação de atributos químicos em solo de agrofloresta e cana-deaçúcar em Humaitá, Amazonas. O estudo foi realizado em uma propriedade rural em Humaitá, Amazonas. Nestas áreas foram estabelecidas malhas de 70,00 m x 70,00 m, com espaçamento regular de 10,00 m totalizando 64 pontos e em seguida, coletadas amostras de solos na profundidade de 0,0-0,20 e 0,40 -0,60 m. Foram determinados os atributos químicos (pH, MO, P, K, Ca, Mg, SB, CTC, V% e H+Al). Utilizaram-se técnicas de estatística descritiva e geoestatística de onde ajustaram semivariogramas individuais e escalonados, e em seguida, estimou a densidade amostral com base no alcance dos semivariogramas. Os atributos do solo apresentaram estrutura de dependência espacial na sua maioria, com predominância de grau de dependência espacial moderado, nos semivariogramas individuais e escalonado. A densidade amostral e espaçamento do semivariograma escalonado indicaram menor número de pontos e maior espaçamento para representar as áreas de agrofloresta e cana-de-açúcar. Palavras-chave: atributos do solo, sul do Amazonas, variabilidade espacial Geostatistical techniques in the evaluation of chemical attributes in Cambisol with agroforestry and sugarcane in Humaita, Amazonas, Brazil ABSTRACTThere is a lack of studies focusing on the spatial behavior of chemical attributes in the Amazon. In this sense, the objective of this study was to use geostatistical techniques in the evaluation of chemical attributes in agroforestry soil and sugarcane in Humaitá, Amazonas. The study was conducted in a rural property in Humaitá, Amazonas. These areas were established knitwear 70.00 mx 70.00 m, with regular spacing of 10.00 m totaling 64 points and then collected soil samples at a depth of 0.0 to 0.20 and 0.40 to 0.60 m. We determined the chemical attributes (pH, OM, P, K, Ca, Mg, SB, CTC, V% and H + Al). They used descriptive statistics and geostatistics which set individual and scaled semivariogram, and then estimated the sample density based on the achievement of semivariograms. The soil attributes presented spatial dependence structure mostly, predominantly moderate degree of spatial dependence, individual and staggered semivariograms. The sample density and spacing of the stepped semivariogram indicated fewer points and increased spacing to represent the areas of agroforestry and sugarcane.

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“…Aquino et al (2015) and Campos et al (2011) asserted that terrain micro-variations can promote geospatial variation of soil attributes, even when the areas seem to be homogeneous (Oliveira et al, 2015a), affecting crop yield and soil analysis accuracy, which uses sample mean of the area. Moreover, Souza et al (2006) stated that extra statistical analyses are needed to measure such variations, because most of the soils change over time and space.…”

Section: Introductionmentioning

confidence: 99%

Physical and geospatial attributes of inceptisols and ultisols under native vegetation in Humaitá, AM, Brazil

Alho¹,

Campos²,

Mantovanelli³

et al. 2016

Biosci. J.

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Use of Scaled Semivariograms in the Planning Sample of Soil Chemical Properties in Southern Amazonas, Brazil

Cited by 20 publications

References 29 publications

Use of Scaled Semivariograms in the Planning Sample of Soil Physical Properties in Southern Amazonas, Brazil

Use of Scaled Semivariograms in the Planning Sample of Soil Physical Properties in Southern Amazonas, Brazil

Técnicas geoestatísticas na avaliação de atributos químicos em Cambissolo com agrofloresta e cana-de-açúcar em Humaitá, Amazonas

Physical and geospatial attributes of inceptisols and ultisols under native vegetation in Humaitá, AM, Brazil

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