干旱区生态环境知识资源中心(Arid): Soil Quality Assessment Using Multivariate Approaches: A Case Study of the Dakhla Oasis Arid Lands

Arid

DOI	10.3390/land10101074
	Soil Quality Assessment Using Multivariate Approaches: A Case Study of the Dakhla Oasis Arid Lands
	Selmy, Salman A. H.; Abd Al-Aziz, Salah H.; Jimenez-Ballesta, Raimundo; Garcia-Navarro, Francisco Jesus; Fadl, Mohamed E.
通讯作者	Selmy, SAH (corresponding author), Assiut Univ, Fac Agr, Dept Soils & Water, Assiut 71526, Egypt.
来源期刊	LAND
EISSN	2073-445X
出版年	2021
卷号	10 期号:10
英文摘要	A precise evaluation of soil quality (SQ) is important for sustainable land use planning. This study was conducted to assess soil quality using multivariate approaches. An assessment of SQ was carried out in an area of Dakhla Oasis using two methods of indicator selection, i.e., total data set (TDS) and minimum data set (MDS), and three soil quality indices (SQIs), i.e., additive quality index (AQI), weighted quality index (WQI), and Nemoro quality index (NQI). Fifty-five soil profiles were dug and samples were collected and analyzed. A total of 16 soil physicochemical parameters were selected for their sensitivity in SQ appraising to represent the TDS. The principal component analysis (PCA) was employed to establish the MDS. Statistical analyses were performed to test the accuracy and validation of each model, as well as to understand the relationship between the used methods and indices. The results of principal component analysis (PCA) showed that soil depth, gravel content, sand fraction, and exchangeable sodium percentage (ESP) were included in the MDS. High positive correlations (r & GE; 0.9) occurred between SQIs calculated using TDS and/or MDS under the three models. Moreover, the findings showed highly significant differences (p < 0.001) among SQIs within and between TDS and MDS. Approximately 80 to 85% of the total study area based on TDS, as well as 70 to 75%, according to MDS, were identified as suitable soils with slight limitations on soil quality grade (Q3, Q2, and Q1), while the remaining 20 to 30% had high to severe limitations (Q4 and Q5). The highest sensitivity (SI = 2.9) occurred by applying WQI using MDS and indicator weights based on the variance of PCA. Furthermore, the highest linear regression value (R-2 = 0.88) between TDS and MDS was recorded using the same model. Because of its high sensitivity, such a model could be used for monitoring SQ changes caused by agricultural practices and environmental factors. The findings of this study have significant guiding implications and practical value in assessing the soil quality using TDS and MDS in arid areas critically and accurately.
英文关键词	factor analysis minimum data set indexing models indicator selection land use
类型	Article
语种	英语
开放获取类型	gold
收录类别	SSCI
WOS记录号	WOS:000714876700001
WOS关键词	MINIMUM DATA SET ; LONG-TERM TILLAGE ; SENSITIVITY-ANALYSIS ; SPATIAL VARIABILITY ; ORGANIC-MATTER ; INDEX ; INDICATORS ; IDENTIFICATION ; PROVINCE ; PLATEAU
WOS类目	Environmental Studies
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/374162
作者单位	[Selmy, Salman A. H.; Abd Al-Aziz, Salah H.] Assiut Univ, Fac Agr, Dept Soils & Water, Assiut 71526, Egypt; [Jimenez-Ballesta, Raimundo] Autonomuos Univ Madrid, Dept Geol & Geochem, Madrid 28019, Spain; [Garcia-Navarro, Francisco Jesus] Univ Castilla La Mancha, Higth Tech Sch Agr Engnineers, Ciudad Real 13007, Spain; [Fadl, Mohamed E.] Natl Author Remote Sensing & Space Sci NARSS, Div Sci Training & Continuous Studies, Cairo 11769, Egypt
推荐引用方式 GB/T 7714	Selmy, Salman A. H.,Abd Al-Aziz, Salah H.,Jimenez-Ballesta, Raimundo,et al. Soil Quality Assessment Using Multivariate Approaches: A Case Study of the Dakhla Oasis Arid Lands[J],2021,10(10).
APA	Selmy, Salman A. H.,Abd Al-Aziz, Salah H.,Jimenez-Ballesta, Raimundo,Garcia-Navarro, Francisco Jesus,&Fadl, Mohamed E..(2021).Soil Quality Assessment Using Multivariate Approaches: A Case Study of the Dakhla Oasis Arid Lands.LAND,10(10).
MLA	Selmy, Salman A. H.,et al."Soil Quality Assessment Using Multivariate Approaches: A Case Study of the Dakhla Oasis Arid Lands".LAND 10.10(2021).