干旱区生态环境知识资源中心(Arid): A comparative analysis to forecast salinity and sodicity distributions using empirical Bayesian and disjunctive kriging in irrigated soils of the Jordan valley

Arid

DOI	10.1007/s12665-024-11537-x
	A comparative analysis to forecast salinity and sodicity distributions using empirical Bayesian and disjunctive kriging in irrigated soils of the Jordan valley
	Gharaibeh, Mamoun A.; Albalasmeh, Ammar A.; Moos, Nicolai; Mohawesh, Osama; Pratt, Chris; El Hanandeh, Ali
通讯作者	Gharaibeh, MA
来源期刊	ENVIRONMENTAL EARTH SCIENCES
ISSN	1866-6280
EISSN	1866-6299
出版年	2024
卷号	83 期号:8
英文摘要	In arid regions such as the Jordan valley, salinity and sodicity are major constraints to soil quality and crop production. Accurate spatial determination of sodicity and salinity at field scale is a challenge, which can limit the effectiveness of management strategies. Interpolation techniques are used to derive maps to estimate the extent of the areas affected by sodicity and devise appropriate management plans. Nevertheless, different methods may draw different pictures. The main objectives of this study are to compare two interpolation techniques: 1. empirical Bayesian (EBK) and 2. disjunctive kriging (DK) to spatially predict soil salinity and sodicity in intensively used agricultural soils. Surface and subsurface samples were collected from randomly selected agricultural fields and analyzed for salinity (ECe) and sodicity (sodium adsorption ratio -SARe and exchangeable sodium percentage -ESP). Both EBK and DK methods revealed serious soil salinization and sodification problems in the middle and southern parts of the Jordan Valley. Salinity (ECe) maps showed that about 34% of the total area has salinity < 4, 12% < 8, 7% < 16, and 46% exceeds 16 dS m(-1). For sodicity (ESP), 44% < 10, 18% < 15, and 37% > 15. Surface soils had higher salinity and sodicity levels than subsurface soils. The average values of surface soils were ECe (15.7 dS m(-1)), SARe (9.8), and ESP (15.5), compared with ECe (7.4 dS m(-1)), SARe (7.5), and ESP (13.1) for subsurface soils. Smoother and less patchy predictions were generated using DK compared to EBK. However, EBK had higher accuracy than DK in spatially predicting and addressing the uncertainty inherent in soil salinity and sodicity. This investigation gives important fundamental steps for developing site-specific reclamation techniques to manage and sustain agriculture in these regions.
英文关键词	Soil mapping Interpolation techniques Arid region Prediction accuracy
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001197462500005
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/403553
推荐引用方式 GB/T 7714	Gharaibeh, Mamoun A.,Albalasmeh, Ammar A.,Moos, Nicolai,et al. A comparative analysis to forecast salinity and sodicity distributions using empirical Bayesian and disjunctive kriging in irrigated soils of the Jordan valley[J],2024,83(8).
APA	Gharaibeh, Mamoun A.,Albalasmeh, Ammar A.,Moos, Nicolai,Mohawesh, Osama,Pratt, Chris,&El Hanandeh, Ali.(2024).A comparative analysis to forecast salinity and sodicity distributions using empirical Bayesian and disjunctive kriging in irrigated soils of the Jordan valley.ENVIRONMENTAL EARTH SCIENCES,83(8).
MLA	Gharaibeh, Mamoun A.,et al."A comparative analysis to forecast salinity and sodicity distributions using empirical Bayesian and disjunctive kriging in irrigated soils of the Jordan valley".ENVIRONMENTAL EARTH SCIENCES 83.8(2024).