Predicting Soil Cation Exchange Capacity in Entisols with Divergent Textural Classes: The Case of Northern Sudan Soils

Cation exchange capacity (CEC) is an important soil property because it affects the assimilation of nutrients and buffers against soil acidification. Thus, knowledge of CEC is considered key to developing agricultural and environmental models for land management planning. However, in developing coun...

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Autores principales:	Mutwakil Adam, Ibrahim Ibrahim, Magboul Sulieman, Mojtaba Zeraatpisheh, Gaurav Mishra, Eric C. Brevik
Formato:	article
Lenguaje:	EN
Publicado:	SAGE Publishing 2021
Materias:	Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/e6622529965d4b889f95c13779aa7053
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spelling	oai:doaj.org-article:e6622529965d4b889f95c13779aa70532021-12-01T00:05:07ZPredicting Soil Cation Exchange Capacity in Entisols with Divergent Textural Classes: The Case of Northern Sudan Soils1178-622110.1177/11786221211042381https://doaj.org/article/e6622529965d4b889f95c13779aa70532021-11-01T00:00:00Zhttps://doi.org/10.1177/11786221211042381https://doaj.org/toc/1178-6221Cation exchange capacity (CEC) is an important soil property because it affects the assimilation of nutrients and buffers against soil acidification. Thus, knowledge of CEC is considered key to developing agricultural and environmental models for land management planning. However, in developing countries such as Sudan, there is a lack of soil CEC data due to the absence of research projects and funding to develop this information. Therefore, this research was conducted to predict CEC for large areas using specific soil physical characteristics, including soil texture and saturation percentage (SP), for which there is potentially available data. To achieve this goal, the properties of 430 soil samples (301 for training and 129 for validation) were obtained from the soil database of the Soil Survey Administration, Ministry of Agriculture, Sudan, which had different soil depth intervals (0–0.3 m, 0.3–0.6 m, 0.6–0.9 m, 0.9–1.5 m, and >1.5 m) from Entisols in the Northern State of Sudan. The data were stratified into homogeneous groups based on the textural classes of the main soil order. Then, regression models were performed and evaluated using the coefficient of determination ( R 2 ), standard error of the estimate (SEE), and root mean square error (RMSE). The results indicated that in individual Entisols and textural classes, the combined soil covariates silt, clay, and SP were the best properties to predict CEC values ( R 2 ranged from 0.86 to 0.99). The regression models did not provide statistically significant results for the silty clay loam textural class ( R 2 ranged from 0.01 and 0.35). The findings of this modeling study could be applied to other Entisols worldwide with divergent textural classes, which could be used to verify the suggested CEC pedotransfer functions and/or improve them. This would help farmers correctly design soil management plans and prevent acidification issues if combined with other soil properties data.Mutwakil AdamIbrahim IbrahimMagboul SuliemanMojtaba ZeraatpishehGaurav MishraEric C. BrevikSAGE PublishingarticleEnvironmental sciencesGE1-350ENAir, Soil and Water Research, Vol 14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Environmental sciences GE1-350
spellingShingle	Environmental sciences GE1-350 Mutwakil Adam Ibrahim Ibrahim Magboul Sulieman Mojtaba Zeraatpisheh Gaurav Mishra Eric C. Brevik Predicting Soil Cation Exchange Capacity in Entisols with Divergent Textural Classes: The Case of Northern Sudan Soils
description	Cation exchange capacity (CEC) is an important soil property because it affects the assimilation of nutrients and buffers against soil acidification. Thus, knowledge of CEC is considered key to developing agricultural and environmental models for land management planning. However, in developing countries such as Sudan, there is a lack of soil CEC data due to the absence of research projects and funding to develop this information. Therefore, this research was conducted to predict CEC for large areas using specific soil physical characteristics, including soil texture and saturation percentage (SP), for which there is potentially available data. To achieve this goal, the properties of 430 soil samples (301 for training and 129 for validation) were obtained from the soil database of the Soil Survey Administration, Ministry of Agriculture, Sudan, which had different soil depth intervals (0–0.3 m, 0.3–0.6 m, 0.6–0.9 m, 0.9–1.5 m, and >1.5 m) from Entisols in the Northern State of Sudan. The data were stratified into homogeneous groups based on the textural classes of the main soil order. Then, regression models were performed and evaluated using the coefficient of determination ( R 2 ), standard error of the estimate (SEE), and root mean square error (RMSE). The results indicated that in individual Entisols and textural classes, the combined soil covariates silt, clay, and SP were the best properties to predict CEC values ( R 2 ranged from 0.86 to 0.99). The regression models did not provide statistically significant results for the silty clay loam textural class ( R 2 ranged from 0.01 and 0.35). The findings of this modeling study could be applied to other Entisols worldwide with divergent textural classes, which could be used to verify the suggested CEC pedotransfer functions and/or improve them. This would help farmers correctly design soil management plans and prevent acidification issues if combined with other soil properties data.
format	article
author	Mutwakil Adam Ibrahim Ibrahim Magboul Sulieman Mojtaba Zeraatpisheh Gaurav Mishra Eric C. Brevik
author_facet	Mutwakil Adam Ibrahim Ibrahim Magboul Sulieman Mojtaba Zeraatpisheh Gaurav Mishra Eric C. Brevik
author_sort	Mutwakil Adam
title	Predicting Soil Cation Exchange Capacity in Entisols with Divergent Textural Classes: The Case of Northern Sudan Soils
title_short	Predicting Soil Cation Exchange Capacity in Entisols with Divergent Textural Classes: The Case of Northern Sudan Soils
title_full	Predicting Soil Cation Exchange Capacity in Entisols with Divergent Textural Classes: The Case of Northern Sudan Soils
title_fullStr	Predicting Soil Cation Exchange Capacity in Entisols with Divergent Textural Classes: The Case of Northern Sudan Soils
title_full_unstemmed	Predicting Soil Cation Exchange Capacity in Entisols with Divergent Textural Classes: The Case of Northern Sudan Soils
title_sort	predicting soil cation exchange capacity in entisols with divergent textural classes: the case of northern sudan soils
publisher	SAGE Publishing
publishDate	2021
url	https://doaj.org/article/e6622529965d4b889f95c13779aa7053
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Predicting Soil Cation Exchange Capacity in Entisols with Divergent Textural Classes: The Case of Northern Sudan Soils

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