Spatio-temporal variability of soil water tension in a tropical soil in Brazil

Cichota, Rogerio; Hurtado, Ana Lucia Berretta; Lier, Quirijn de Jong van

doi:10.1016/j.geoderma.2005.07.010

Cited by 29 publications

(16 citation statements)

References 41 publications

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“…Their results indicated that higher moisture contents were associated with lower CV. Timm et al (2006) and Chicota et al (2006) found similar results after evaluating soil moisture variations. The variability of soil moisture and CV were both less and no significant correlations were found at 0-300 cm depth.…”

Section: Description Statistics Of Soil Moisture Contentsupporting

confidence: 54%

Spatio-temporal variability of root zone soil moisture in artificially revegetated and natural ecosystems at an arid desert area, NW China

Pan

Wang

Zhang

et al. 2015

Ecological Engineering

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Section: Description Statistics Of Soil Moisture Contentsupporting

confidence: 54%

Spatio-temporal variability of root zone soil moisture in artificially revegetated and natural ecosystems at an arid desert area, NW China

Pan

Wang

Zhang

et al. 2015

Ecological Engineering

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“…The variation in the PAW is suggested as the primary factor for within field yield variability (Oliver et al, 2006). Other studies also observed a large increase in yield in the areas of higher water retention (Irmak et al, 2002;Chichota et al, 2006). Because of its importance in productivity, the use of PAW to delineate management zones can be suggested for the application of precision agriculture techniques.…”

Section: Characterization Of Horizontal and Vertical Variability In Smentioning

confidence: 96%

Spatial Variability of Soil Physical Properties Affecting Florida Citrus Production

Mann¹,

Schumann²,

Obreza

et al. 2010

Soil Science

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Spatial variability of citrus yield is very common in Florida, but very little has been done to identify the responsible soil factors. Our objective was to characterize variations in soil physical properties in sandy soils where citrus is produced in Florida. A citrus grove was divided into five productivity zones defined as Bvery poor, [ Bpoor,[ Bmedium,[ Bgood,[ and Bvery good[ based on tree canopy volume. Six random soil samples were collected from each zone at depths of 0 to 15, 15 to 30, 30 to 45, and 45 to 60 cm. Samples were analyzed for soil color, particle size and sand size distribution, and water retention parameters. Although the coefficients of variation (1%Y60%) were large for color, texture, and water retention, the values were generally higher in areas with large trees and vice versa. The trend was opposite for soil lightness and sand content, which were lower in areas of greater growth. Most of the soil properties had a large spatial variation with semivariogram range of 100 to 250 m and varied greatly with increased productivity. Differences between the productivity zones were even more prominent at greater soil depth. Characterization and quantification of spatial soil variability in citrus groves would assist in planning future soil sampling in new fields showing soil and/or tree growth variability. The selection of soil sampling sites should be based on the sampling interval suggested by the variogram range (G75 m) and include the depth (45Y60 cm) influencing productivity.

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“…The temporal www.intechopen.com variograms are one dimensional. Application of temporal variograms in the soil literature is scarce and Cichota et al (2006) and Franzluebbers et al (2002) are examples of such application.…”

Section: Separate Temporal Random Field Modelmentioning

confidence: 99%