Temporal Stability of Soil Electrical Conductivity in Irrigated Sandy Fields in Colorado

Farahani, Hamid J.; Buchleiter, Gerald W.

doi:10.13031/2013.15873

Cited by 43 publications

(40 citation statements)

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“…Spatial variability, as quantified by coefficient of variation (CV), was generally high for all mapping events, ranging from 28.91 to 55.87%. Farahani and Buchleiter (2004) reported similar variation in CV in three irrigated sandy fields in eastern Colorado, seemingly a normal range for low salt systems. Both absolute and relative measures of variability such as standard deviations (Stdev, 1.73 to 9.77) and CV (28.91% to 55.87%) for the nine ECa s and ECa d surveys were generally high at all sites, indicating that rainfall and temperature fluxes affected the variability of ECa among survey dates.…”

Section: Methodsmentioning

confidence: 57%

“…Moderate (0.36 < |R 2 | < 0.64) to strong (|R 2 | > 0 .64) positive coefficients of determination, R 2 (Fig. 3) were observed between ECa s and ECa d for all measurement days, suggesting homogeneity between shallow and deep horizons, although this is partly due to deep ECa integrating the 1.5 m soil that includes the 0.75 msoil layer represented by ECa s (Farahani and Buchleiter, 2004).…”

Section: Methodsmentioning

confidence: 93%

“…King et al (2001) and Nehmdahl and Greve (2001) both noted that in order to characterize ECa, multiple surveys yielding similar patterns over time, regardless of external factors, should be undertaken. This is of vital importance if zones developed based on ECa patterns are to be used to manage the field for multiple years (Farahani and Buchleiter, 2004), as would be the case for cocoa plantations. Farahani and Buchleiter (2004) compared the stability of ECa s and ECa d in three irrigated sandy fields in eastern Colorado and found ECa d to be more temporally stable than the corresponding ECa s .…”

Section: Introductionmentioning

confidence: 99%

“…This is of vital importance if zones developed based on ECa patterns are to be used to manage the field for multiple years (Farahani and Buchleiter, 2004), as would be the case for cocoa plantations. Farahani and Buchleiter (2004) compared the stability of ECa s and ECa d in three irrigated sandy fields in eastern Colorado and found ECa d to be more temporally stable than the corresponding ECa s . This was expected as the top soil layer is subjected to more fluctuation in transient properties such as water content (WC) and temperature.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Assessing the temporal stability of spatial patterns of soil apparent electrical conductivity using geophysical methods

Caires

Wuddivira

Bekele

2014

International Agrophysics

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A b s t r a c t. Cocoa remains in the same field for decades, resulting in plantations dominated with aging trees growing on variable and depleted soils. We determined the spatio-temporal variability of key soil properties in a (5.81 ha) field from the International Cocoa Genebank, Trinidad using geophysical methods. Multi-year (2008Multi-year ( -2009) measurements of apparent electrical conductivity at 0-0.75 m (shallow) and 0.75-1.5 m (deep) were conducted. Apparent electrical conductivity at deep and shallow gave the strongest linear correlation with clay-silt content (R = 0.67 and R = 0.78, respectively) and soil solution electrical conductivity (R = 0.76 and R = 0.60, respectively). Spearman rank correlation coefficients ranged between 0.89-0.97 and 0.81-0.95 for apparent electrical conductivity at deep and shallow, respectively, signifying a strong linear dependence between measurement days. Thus, in the humid tropics, cocoa fields with thick organic litter layer and relatively dense understory cover, experience minimal fluctuations in transient properties of soil water and temperature at the topsoil resulting in similarly stable apparent electrical conductivity at shallow and deep. Therefore, apparent electrical conductivity at shallow, which covers the depth where cocoa feeder roots concentrate, can be used as a fertility indicator and to develop soil zones for efficient application of inputs and management of cocoa fields.

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Section: Methodsmentioning

confidence: 57%

Section: Methodsmentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Assessing the temporal stability of spatial patterns of soil apparent electrical conductivity using geophysical methods

Caires

Wuddivira

Bekele

2014

International Agrophysics

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“…Temporal stability in ECa data has been demonstrated using Spearman rank correlation (De Caires et al, 2015), correlation coefficient between ECa in dry and wet soil conditions (Farahani et al, 2004;Pedrera-Parrilla et al, 2016;Serrano et al, 2013), and map comparisons (Li et al, 2007). One effective method of studying temporal stability of spatially and temporally variable soil properties consists in using principal component analysis (PCA) .…”

Section: Introductionmentioning

confidence: 99%

Temporal stability of electrical conductivity in a sandy soil

Pedrera‐Parrilla

Brevik

Giráldez

et al. 2016

International Agrophysics

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Understanding of soil spatial variability is needed to delimit areas for precision agriculture. Electromagnetic induction sensors which measure the soil apparent electrical conductivity reflect soil spatial variability. The objectives of this work were to see if a temporally stable component could be found in electrical conductivity, and to see if temporal stability information acquired from several electrical conductivity surveys could be used to better interpret the results of concurrent surveys of electrical conductivity and soil water content. The experimental work was performed in a commercial rainfed olive grove of 6.7 ha in the ‘La Manga’ catchment in SW Spain. Several soil surveys provided gravimetric soil water content and electrical conductivity data. Soil electrical conductivity values were used to spatially delimit three areas in the grove, based on the first principal component, which represented the time-stable dominant spatial electrical conductivity pattern and explained 86% of the total electrical conductivity variance. Significant differences in clay, stone and soil water contents were detected between the three areas. Relationships between electrical conductivity and soil water content were modelled with an exponential model. Parameters from the model showed a strong effect of the first principal component on the relationship between soil water content and electrical conductivity. Overall temporal stability of electrical conductivity reflects soil properties and manifests itself in spatial patterns of soil water content.

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