Salinity and Sodicity Interactions of Weathered Minesoils in Northwestern New Mexico and North Eastern Arizona

Musslewhite, Brent D.; Jin, Song

doi:10.2172/885051

Cited by 2 publications

(1 citation statement)

References 29 publications

(54 reference statements)

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“…Musslewhite and Song [5] noticed that measurement of ESP is using laborious and time-consuming laboratory tests through determination of Cation Exchange Capacity (CEC) and exchangeable Na+, therefore the prediction of ESP from SAR is useful due to their existed relation. Previous studies report a relationship between ESP and SAR, Harront et al, and Richards [6,7], so SAR became an important tool to predict the ESP in salts affected soils, Robbins [8].…”

Section: Introductionmentioning

confidence: 99%

Efficiency of Two Models for Prediction of Exchangeable Sodium Percentage from Sodium Adsorption Ratio on Saline and Non Saline Soil

Elbashier¹,

Ebrahim²,

Musa³

et al. 2016

ujar

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The relationships between soil physical and chemical properties play a key role in facilitating the measurement of soil properties, particularly Exchangeable Sodium percentage (ESP) measurement, which is often using laborious and time-consuming laboratory tests. The aim of this study is to investigate the efficiency of the United States Salinity Laboratory (USSL) model and the ESP-SAR model for prediction of exchangeable Sodium percentage (ESP) from Sodium Adsorption Ratio (SAR) on saline and non-saline soil samples. For this purpose, 23 soil samples were collected from the field of experiment, Jabal Awliya, south of Khartoum state, Sudan. Exchangeable Sodium Percentage (ESP) was estimated as a function of soil SAR in order to compare the predicted results with measured ESP using laboratory tests. The results show that on saline soil samples, the Standard Error of Mean (SEM) of predicted ESP obtained by USSL model and ESP-SAR model was (1.084) and (1.463) respectively. On non-saline soil samples, the Standard Error of Mean (SEM) of predicted ESP acquired by USSL model was (0.7034) and (0.6070) for ESP-SAR model. The statistical results indicated that USSL model has a good prediction on saline soil samples compared with ESP-SAR model. On non-saline soil samples, USSL model showed less prediction performance than ESP-SAR model. It can be concluded that the United States Salinity Laboratory model can be recommended on saline soil samples and ESP-SAR model is more reliable on non-saline soil samples.

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Section: Introductionmentioning

confidence: 99%

Efficiency of Two Models for Prediction of Exchangeable Sodium Percentage from Sodium Adsorption Ratio on Saline and Non Saline Soil

Elbashier¹,

Ebrahim²,

Musa³

et al. 2016

ujar

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Spoil Quality Effects on Vegetation Establishment and Species Composition Following Reclamation of Mined Lands in Arid New Mexico

Perkins¹,

Buchanan²,

Applegate³

et al. 2009

JASMR

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In 1992 at the Navajo Mine in New Mexico, reclamation was completed in an area that had been topsoiled and where there was a wide range in measured EC and SAR values of the underlying spoil at the time of seed planting. The objective of this study was to examine the influence of spoil EC and SAR on subsequent vegetation establishment and species composition. In September 2008, vegetation cover and production were measured at 40 locations with spoil EC and SAR values that met current (2008) root-zone suitability criteria at the time of planting (suitable spoil) and 40 locations that did not meet the current criteria (unsuitable spoil). Results indicate that most vegetation parameters were not significantly different between suitable and unsuitable spoil. Galleta grass cover was higher in suitable (4.2±0.8%) than unsuitable (2.2±0.6%) spoil. Conversely, fourwing saltbush cover was higher in unsuitable (3.3±0.9%) than in suitable (1.0±0.3%) spoil. Shrub cover was higher in unsuitable than suitable spoil (3.7±1.0% and 1.0±0.3%, respectively) while annual forb cover (excluding weedy species) was higher in suitable than unsuitable spoil (1.7±0.2% and 1.0±0.2%, respectively). There were no significant differences between suitable and unsuitable suitable spoil in cover of 5 of the 7 most common species, total vegetation cover, vegetation production, or shrub density. Regression models were developed to correlate vegetation properties with spoil characteristics. None of the spoil characteristics included in the models consistently influenced vegetation cover or production. Results of the study indicate that EC and SAR values in suitable and unsuitable spoil had little influence on overall revegetation success, although spoil properties may have had a limited effect on species composition by affecting the relative proportion of shrub and herbaceous species.

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Salinity and Sodicity Interactions of Weathered Minesoils in Northwestern New Mexico and North Eastern Arizona

Cited by 2 publications

References 29 publications

Efficiency of Two Models for Prediction of Exchangeable Sodium Percentage from Sodium Adsorption Ratio on Saline and Non Saline Soil

Efficiency of Two Models for Prediction of Exchangeable Sodium Percentage from Sodium Adsorption Ratio on Saline and Non Saline Soil

Spoil Quality Effects on Vegetation Establishment and Species Composition Following Reclamation of Mined Lands in Arid New Mexico

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