干旱区生态环境知识资源中心(Arid): Multivariate analysis and GIS approaches for modeling and mapping soil quality and land suitability in arid zones

Arid

DOI	10.1016/j.heliyon.2024.e27577
	Multivariate analysis and GIS approaches for modeling and mapping soil quality and land suitability in arid zones
	Jalhoum, Mohamed E. M.; Abdellatif, Mostafa A.; Mohamed, Elsayed Said; Kucher, Dmitry E.; Shokr, Mohamed
通讯作者	Shokr, M
来源期刊	HELIYON
EISSN	2405-8440
出版年	2024
卷号	10 期号:5
英文摘要	Assessing soil quality marks the initial step in precision farming and agricultural management. Developing countries like Egypt face numerous hurdles in ensuring food security due to increasing populations and limited agricultural resources. A geographic information system (GIS) and multivariate analysis were utilized in the current work to evaluate and map a soil quality index (SQI). Moreover, the land suitability of the land for two plantations of the tree's oak (Quercus robur), and pine (Pinus silvestris), respectively was assessed using a parametric approach. A total of 82 soil profiles were selected to fulfill the objectives of the study. Based on the samples' PC scores, and agglomerative hierarchical clustering (AHC, the data was divided into two clusters: Cluster I and Cluster II, which collectively account for approximately 57% and 43% of the total data, respectively.. . The findings indicated that land suitability for planting Q. robur planted identified 2.14% of the research area as highly suitable (S1), 37.98% as moderately suitable (S2), and 59.89% as not suitable (N). Furthermore, the assessment of suitability for P. silvestris indicated that 50.88% of the investigated area was classified into: S1, 48.73% as S2, and 0.39% as N, which means it is not suitable for conservation activities. The research identified that soil depth beside excessive salinity and calcium carbonate as the primary soil constraints in the area in both clusters. The average soil depth, ECd and CaCO3 were 113.62 +/- 12.41, 17.27 +/- 10.23, 16.83 +/- 6.57 in Cluster 1 and 45.43 +/- 15.21, 22.42 +/- 12.43, 21.55 +/- 5.63 in Cluster II. The study demonstrates that integrating multivariate analysis with GIS enables a precise and streamlined assessment of the Soil Quality Index (SQI). Soil suitability modelling underscores the importance of implementing efficient management practices to attain agricultural sustainability in arid regions, particularly amidst intensive land utilization pressures
英文关键词	Multivariate analysis Soil quality Arid zones GIS Agricultural sustainability
类型	Article
语种	英语
开放获取类型	Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:001250932300001
WOS关键词	PRINCIPAL COMPONENT ANALYSIS ; SPATIAL-DISTRIBUTION ; METAL CONTAMINATION ; HEAVY-METALS ; POTENTIALITY ; URBAN ; IDENTIFICATION ; INTEGRATION ; RESOURCES ; MAIZE
WOS类目	Multidisciplinary Sciences
WOS研究方向	Science & Technology - Other Topics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/404013
推荐引用方式 GB/T 7714	Jalhoum, Mohamed E. M.,Abdellatif, Mostafa A.,Mohamed, Elsayed Said,et al. Multivariate analysis and GIS approaches for modeling and mapping soil quality and land suitability in arid zones[J],2024,10(5).
APA	Jalhoum, Mohamed E. M.,Abdellatif, Mostafa A.,Mohamed, Elsayed Said,Kucher, Dmitry E.,&Shokr, Mohamed.(2024).Multivariate analysis and GIS approaches for modeling and mapping soil quality and land suitability in arid zones.HELIYON,10(5).
MLA	Jalhoum, Mohamed E. M.,et al."Multivariate analysis and GIS approaches for modeling and mapping soil quality and land suitability in arid zones".HELIYON 10.5(2024).