2009
DOI: 10.1590/s0103-90162009000200012
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Geostatistical analysis of microrelief of an oxisol as a function of tillage and cumulative rainfall

Abstract: Surface roughness can be influenced by type and intensity of soil tillage among other factors. In tilled soils microrelief may decay considerably as rain progresses. Geostatistics provides some tools that may be useful to study the dynamics of soil surface variability. The objective of this study was to show how it is possible to apply geostatistics to analyze soil microrelief variability. Data were taken at an Oxisol over six tillage treatments, namely, disk harrow, disk plow, chisel plow, disk harrow + disk … Show more

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Cited by 9 publications
(4 citation statements)
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“…The pin‐microrelief method (Vázquez et al . ) was adapted to measure substratum random roughness (RR) in the sampled plots. Substratum surface height were recorded in 15 cm transects with a spacing between readings of 2.5 mm and the RR index was calculated as the standard error amongst heights (Allmaras et al .…”
Section: Methodsmentioning
confidence: 99%
“…The pin‐microrelief method (Vázquez et al . ) was adapted to measure substratum random roughness (RR) in the sampled plots. Substratum surface height were recorded in 15 cm transects with a spacing between readings of 2.5 mm and the RR index was calculated as the standard error amongst heights (Allmaras et al .…”
Section: Methodsmentioning
confidence: 99%
“…Once the experimental semivariogram was calculated, a spherical model was fitted to it (Vázquez et al, 2009;Croft et al, 2013):…”
Section: Calculation Of Roughness Parametersmentioning
confidence: 99%
“…No nugget effect was taken into account (Vermang et al, 2013). Both Sill and Range have been frequently used as soil surface roughness indices (e.g., Helming et al, 1993;Vázquez et al, 2009;Croft et al, 2009, Croft et al, 2013Vermang et al, 2013).…”
Section: Calculation Of Roughness Parametersmentioning
confidence: 99%
“…only if other graphical elements are well arranged. For example, Vázquez et al (2009) had eight groups to distinguish in a scatterplot, and they did that by varying plotting symbols and their color. Unfortunately, the large size of symbols made it practically impossible to compare the groups.…”
Section: Specific Principles Of Graphing Datamentioning
confidence: 99%