干旱区生态环境知识资源中心(Arid): Developing scoring functions for soil quality to assess land suitability for irrigated wheat in Southern Algeria

Arid

DOI	10.1111/sum.12770
	Developing scoring functions for soil quality to assess land suitability for irrigated wheat in Southern Algeria
	Mihoub, Adil; Koull, Naima; Helimi, Samia; Elhafed Kherraze, Mohammed; Mokhtari, Sakher; Pulido Fernandez, Manuel
通讯作者	Mihoub, A (corresponding author), Biophys Environm Stn, Natl Rd 03 Ain Sahara,POB 360, Touggourt, Algeria.
来源期刊	SOIL USE AND MANAGEMENT
ISSN	0266-0032
EISSN	1475-2743
出版年	2022
英文摘要	Efficient land-use management could be optimized through appropriate advice regarding land suitability and achieving a reasonable yield while preserving soil and environmental conditions. The main objective of this study was to determine and define those locations capable of wheat cultivation with irrigation in the municipality of N'goussa (Southern Algeria). Expert opinion (EO) method was used for selecting minimum soil data set (MDS-EO), where six influencing soil properties (sand, pH, salinity, organic matter, gypsum and lime) and other three key parameters (slope, land use/land cover, and proximity to roads and electricity network) were considered important for irrigated wheat cultivation in the study area. Indicators were weighted according to principal component analysis (PCA) loadings and summed. PCA revealed that the selected nine indicators are appropriate for accounting 73.63% of the total variance. Two maps of land suitability were created here (expressed as a soil quality index within a range from 0 to 1) from multivariate analysis and already known standard scoring functions (SSFs) by using two data sets (pure and scored). The distribution of soil quality index (IQI) showed that above 70% of the land was moderately (MS) to highly suitable (HS) for irrigated wheat. The estimation accuracy of soil quality classes has been evaluated using random forests (RF), having as a dependent variable the final class of land suitability used in each map. It was determined that estimation accuracy could reach 60% (pure data set) and 65% (scored data set) at 0.5 cut-off value for soil quality classes. Final prioritizing according to ranks of sensitivity index (SI) and efficiency ratio (ER) showed that IQI obtained from scored data set is the most suitable approach in soil quality assessment of arid areas. Therefore, it could be applied in southern Algeria for land management, integrated planning and environmental assessments.
英文关键词	multivariate analysis scoring functions soil quality indicators soil suitability sustainable land use wheat
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000713613200001
WOS关键词	MINIMUM DATA SET ; INDICATORS ; INDEX ; PRODUCTIVITY ; CULTIVATION ; INTEGRATION ; SYSTEMS ; REGION ; MODEL ; TOOL
WOS类目	Soil Science
WOS研究方向	Agriculture
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/367721
作者单位	[Mihoub, Adil; Koull, Naima; Helimi, Samia; Elhafed Kherraze, Mohammed; Mokhtari, Sakher] Sci & Tech Res Ctr Arid Reg, Biophys Environm Stn, Touggourt, Algeria; [Pulido Fernandez, Manuel] Univ Extremadura, GeoEnvironm Res Grp, Caceres, Spain
推荐引用方式 GB/T 7714	Mihoub, Adil,Koull, Naima,Helimi, Samia,et al. Developing scoring functions for soil quality to assess land suitability for irrigated wheat in Southern Algeria[J],2022.
APA	Mihoub, Adil,Koull, Naima,Helimi, Samia,Elhafed Kherraze, Mohammed,Mokhtari, Sakher,&Pulido Fernandez, Manuel.(2022).Developing scoring functions for soil quality to assess land suitability for irrigated wheat in Southern Algeria.SOIL USE AND MANAGEMENT.
MLA	Mihoub, Adil,et al."Developing scoring functions for soil quality to assess land suitability for irrigated wheat in Southern Algeria".SOIL USE AND MANAGEMENT (2022).