Número de amostras na análise geoestatística e na krigagem de mapas de atributos do solo

Souza, Zigomar Menezes de; Souza, Gustavo Soares de; Júnior, José Marques; Pereira, Gener Tadeu

doi:10.1590/s0103-84782014000200011

Cited by 35 publications

(59 citation statements)

References 13 publications

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“…Pesquisas têm demonstrado a importância da modelagem da variação espacial de atributos do solo que afetam a produtividade da cultura, com o objetivo de aperfeiçoar o aproveitamento de recursos, diminuir custos e auxiliar na gestão ambiental (DALCHIAVON et al 2011a, SOUZA et al 2014.…”

Section: Introductionunclassified

“…Uma maior precisão das informações é adquirida quando se utiliza a intepolação por krigagem, pois estima valores para locais não estimados sem tendência e variação mínima, proporcionando uma estimativa mais precisa do atributo de interesse (SOUZA et al 2014). Isso é possível por meio do estabelecimento de zonas específicas de manejo visando à conservação do solo (por exemplo, a aplicação de insumo com taxa variada), condições necessárias à agricultura de precisão (AP).…”

Section: Introductionunclassified

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Variabilidade espacial de atributos químicos do solo cultivado com soja sob plantio direto

Dalchiavon

Rodrigues

Lima

et al. 2017

Rev. Ciên. Agrovet.

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Section: Introductionunclassified

Variabilidade espacial de atributos químicos do solo cultivado com soja sob plantio direto

Dalchiavon

Rodrigues

Lima

et al. 2017

Rev. Ciên. Agrovet.

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“…For Carvalho et al (2003), it is common that the variability of the soil properties presents moderate to high values, because there are many environmental factors that interfere in its dynamics of such. Souza et al (2014) highlights that the mapping of the soil properties with higher variability can be less precise.…”

Section: Resultsmentioning

confidence: 99%

Spatial variability of soil physical and chemical aspects in a Brazil nut tree stand in the Brazilian Amazon

Guerreiro¹,

JÃonior²,

Santos³

et al. 2017

Afr. J. Agric. Res.

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The Brazil nut is considered one of the noblest trees of the Amazon biome and contains social, ecologic and economic importance to this region. The study of the spatial variance of the edaphic properties in native nut trees can direct future researches about more efficient samplings. The Geostatistics is the methodology utilized for this type of study, once that it considers the structural and random characteristics of a variable spatially distributed. This work sought to get a higher knowledge about the distribution of the nutrients in the soil, verifying the relationship with the occurrence of this species, to thereby provide subsidies to future forest management and maintenance/enlargement of the productivity in these areas. The soil samples were collected from 30 × 30 m on the line, in all of the lines in part of the study, totaling 60 samples. All of the points were georeferenced. The preparation of the samples for the sample preparation for the chemical analysis and the methods and calculations to determine the physicochemical variables studied were described by Nogueira and Souza (2005). The statistical and geostatistical analysis were conducted using the R computational environment, version 3.2.2. Most of the studied variables presented defined level. For the physical variables, there was predominance of the adjustment to the model of the gaussian variogram, follower by the spherical model. In the case of the chemical variables, there were two occurrences for each adjustment model (spherical, exponential and gaussian). The variables that best presented spatial relation with the occurrence of Brazil nut trees were the silt, clay, macroporosity, pH, phosphorus, zinc and copper.

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“…It was verified that most treatments showed compatible with the normal distribution (values near 0), except for the MWD under SDLE, and the aggregate percentage under SC. However, according to Souza et al (2014), geostatistics, are more important than normality because the semivariograms shows well-defined sills, thus enabling the hypothesis of the neighboring points which show more similarity than points further from one another.…”

Section: Resultsmentioning

confidence: 99%

Spatial analysis of soil physical attributes from a degraded area under different types of management

Carvalho¹,

Espíndola²,

Alves³

et al. 2017

Afr. J. Environ. Sci. Technol.

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) of the soil; the mean weight diameter (MWD, mm) of the aggregates; and the percentage of aggregates resistant to rainfall were evaluated. The date of soil was analyzed with descriptive statistics for initial exploration and geostatistics, to analyze the spatial variability. There was spatial dependency and the parameter adjust range varied from 8 to 12 m under the treatments SD and SR for the aggregates and SR for macroporosity, total porosity and soil density. There was spatial dependency also under SP, for the aggregates, microporosity, and total porosity; under SC, for the aggregates; and under SDLE, for microporosity. Soil data with spatial dependence in the field were characterized both by high and low values in the same area. Therefore it is not adequate to consider these areas as homogeneous for future experiments and agricultural activities.

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Número de amostras na análise geoestatística e na krigagem de mapas de atributos do solo

Abstract: RESUMO O objetivo deste trabalho foi analisar diferentes intensidades de amostragem do solo com relação à precisão na análise geoestatística e interpolação de mapas, para fi ns de

Cited by 35 publications

References 13 publications

Variabilidade espacial de atributos químicos do solo cultivado com soja sob plantio direto

Variabilidade espacial de atributos químicos do solo cultivado com soja sob plantio direto

Spatial variability of soil physical and chemical aspects in a Brazil nut tree stand in the Brazilian Amazon

Spatial analysis of soil physical attributes from a degraded area under different types of management

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