Historical development of key concepts in pedology

Bockheim, James G.; Gennadiyev, A.N.; Hammer, Richard; Tandarich, John P.

doi:10.1016/j.geoderma.2004.03.004

Cited by 128 publications

(83 citation statements)

References 52 publications

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“…Assim, há aumento da variabilidade espacial dos atributos químicos do solo e favorecimento da identificação de superfícies interdependentes em relação ao processo pedogenético (Bockheim et al, 2005). Isto significa que o movimento da água na paisagem é o principal responsável pelo processo de desenvolvimento do solo (Gobin et al, 2001), por condicionar ambientes com características diferenciadas e por interferir no movimento de bases.…”

Section: Resultsunclassified

Variabilidade espacial dos atributos químicos do solo, associada ao microrrelevo

Artur

Oliveira

Costa

et al. 2014

Rev. bras. eng. agríc. ambient.

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R E S U M OA variabilidade dos atributos químicos do solo é influenciada por complexas interações entre os fatores e os processos de formação do solo. Este trabalho partiu da hipótese de que os atributos químicos do solo variam com o microrrelevo a ponto de alterar as recomendações de manejo para uso agrícola. Com isto, o relevo foi separado em compartimentos e as superfícies estudadas com o objetivo de se determinar os atributos químicos do solo, avaliar a distribuição e a dependência espacial desses atributos. A grade amostral compreendeu uma área de 102 ha da Fazenda Agrícola Famosa, localizada na Chapada do Apodi, CE. O solo da área apresenta origem calcária e as amostras foram coletadas em 92 pontos distanciados 200 m na linha e 100 m entre linhas, nas profundidades de 0-20 e 20-40 cm. Com os dados, gerou-se um modelo de elevação do terreno e, com base nas formas de relevo identificadas, dividiu-se o local de estudo em superfícies. Os dados foram avaliados por estatística descritiva e análise de variabilidade espacial, com base no ajuste de semivariogramas e mapas de krigagem. Os atributos químicos do solo apresentaram variabilidade espacial nos microrrelevos convexo, retilíneo e côncavo, intensificada pelo fluxo de água nas profundidades. Spatial variability of soil chemical attributes associated with microrelief A B S T R A C TThe variability of soil chemical attributes is influenced by complex interactions between factors and processes of soil formation. This study hypothesized that soil chemical attribute varies with microrelief to change management recommendations for agricultural use. The relief was separated in compartments and surfaces were studied with the objective to determine the soil chemical properties and to evaluate the spatial dependence of these attributes. Sampling grid was established in an area of 102 ha at Agricultural Farm Famosa localized in Plateau of Apodi, CE. The soil was derived from limestone and was collected at 92 points spaced at 200 by 100 m and in 0-20 and 20-40 cm depths. With the topographic data a terrain modeling was generated and based on the identified microrelief, the study site was divided into surfaces. Data were analysed using descriptive statistics and spatial variability analysis, with the semivariograms adjustments and kriging maps. Soil chemical attributes showed spatial variability at the convex, concave and rectilinear microrelief, being intensified by water flow at the depths.

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Section: Resultsunclassified

Variabilidade espacial dos atributos químicos do solo, associada ao microrrelevo

Artur

Oliveira

Costa

et al. 2014

Rev. bras. eng. agríc. ambient.

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“…The identification of these 33 multiple factors began a revolution in how soil is conceptualized, studied, and mapped (Huggett, 1975; 34 Hudson, 1991;Bockheim et al, 2005). However, an emphasis of one or more of these factors is typical, 35 as reflected in the design of early soil classification systems (e.g., Whitney, 1909;Marbut, 1928).…”

Section: Influence Of Scale On Soil Knowledge 10mentioning

confidence: 99%

History of soil geography in the context of scale

Miller

Schaetzl

2016

Geoderma

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We review historical soil maps from a geographical perspective, in contrast to the more traditional temporal-historical perspective. Our geographical approach examines and compares soil maps based on their scale and classification system. To analyze the connection between scale in historical soil maps and their associated classification systems, we place soil maps into three categories of cartographic scale. We then examine how categories of cartographic scale correspond

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“…Moore et al (1993) and Gessler et al (2000) reported that the development of catenary soil properties occurs as response to the way water moves through and over the landscape, governed by surface characteristics (convergence and divergence). Other works indicated that the soil-landscape pattern results from an integration of short and long term pedogeographic processes (Bockheim et al, 2005;Van de Wauw et al, 2008).…”

Section: Discussionmentioning

confidence: 99%

Predicting small mammal and flea abundance using landform and soil properties in a plague endemic area in Lushoto District, Tanzania

Meliyo

Kimaro

Msanya

et al. 2014

Tanzania J Hlth Res

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Small mammals particularly rodents, are considered the primary natural hosts of plague. Literature suggests that plague persistence in natural foci has a root cause in soils. The objective of this study was to investigate the relationship between on the one hand landforms and associated soil properties, and on the other hand small mammals and fleas in West Usambara Mountains in Tanzania, a plague endemic area. Standard field survey methods coupled with Geographical Information System (GIS) technique were used to examine landform and soils characteristics. Soil samples were analysed in the laboratory for physico-chemical properties. Small mammals were trapped on pre-established landform positions and identified to genus/species level. Fleas were removed from the trapped small mammals and counted. Exploration of landform and soil data was done using ArcGIS Toolbox functions and descriptive statistical analysis. The relationships between landforms, soils, small mammals and fleas were established by generalised linear regression model (GLM) operated in R statistics software. Results show that landforms and soils influence the abundance of small mammals and fleas and their spatial distribution. The abundance of small mammals and fleas increased with increase in elevation. Small mammal species richness also increases with elevation. A landform-soil model shows that available phosphorus, slope aspect and elevation were statistically significant predictors explaining richness and abundance of small mammals. Fleas' abundance and spatial distribution were influenced by hill-shade, available phosphorus and base saturation. The study suggests that landforms and soils have a strong influence on the richness and evenness of small mammals and their fleas' abundance hence could be used to explain plague dynamics in the area. _________________________________________________________________________________________

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Historical development of key concepts in pedology

Cited by 128 publications

References 52 publications

Variabilidade espacial dos atributos químicos do solo, associada ao microrrelevo

Variabilidade espacial dos atributos químicos do solo, associada ao microrrelevo

History of soil geography in the context of scale

Predicting small mammal and flea abundance using landform and soil properties in a plague endemic area in Lushoto District, Tanzania

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