干旱区生态环境知识资源中心(Arid): Determining the spatial distribution of soil properties using the environmental covariates and multivariate statistical analysis: a case study in semi-arid regions of Iran

Arid

DOI	10.1007/s40333-019-0059-9
	Determining the spatial distribution of soil properties using the environmental covariates and multivariate statistical analysis: a case study in semi-arid regions of Iran
	Zeraatpisheh, Mojtaba 1,2,3; Ayoubi, Shamsollah 1; Sulieman, Magboul 4; Rodrigo-Comino, Jesus 5
通讯作者	Zeraatpisheh, Mojtaba
来源期刊	JOURNAL OF ARID LAND
ISSN	1674-6767
EISSN	2194-7783
出版年	2019
卷号	11 期号:4 页码:551-566
英文摘要	Natural soil-forming factors such as landforms, parent materials or biota lead to high variability in soil properties. However, there is not enough research quantifying which environmental factor(s) can be the most relevant to predicting soil properties at the catchment scale in semi-arid areas. Thus, this research aims to investigate the ability of multivariate statistical analyses to distinguish which soil properties follow a clear spatial pattern conditioned by specific environmental characteristics in a semi-arid region of Iran. To achieve this goal, we digitized parent materials and landforms by recent orthophotography. Also, we extracted ten topographical attributes and five remote sensing variables from a digital elevation model (DEM) and the Landsat Enhanced Thematic Mapper (ETM), respectively. These factors were contrasted for 334 soil samples (depth of 0-30 cm). Cluster analysis and soil maps reveal that Cluster 1 comprises of limestones, massive limestones and mixed deposits of conglomerates with low soil organic carbon (SOC) and clay contents, and Cluster 2 is composed of soils that originated from quaternary and early quaternary parent materials such as terraces, alluvial fans, lake deposits, and marls or conglomerates that register the highest SOC content and the lowest sand and silt contents. Further, it is confirmed that soils with the highest SOC and clay contents are located in wetlands, lagoons, alluvial fans and piedmonts, while soils with the lowest SOC and clay contents are located in dissected alluvial fans, eroded hills, rock outcrops and steep hills. The results of principal component analysis using the remote sensing data and topographical attributes identify five main components, which explain 73.3% of the total variability of soil properties. Environmental factors such as hillslope morphology and all of the remote sensing variables can largely explain SOC variability, but no significant correlation is found for soil texture and calcium carbonate equivalent contents. Therefore, we conclude that SOC can be considered as the best-predicted soil property in semi-arid regions.
英文关键词	soil properties remote sensing data topographical attributes multivariate statistical analyses geographic information systems land management
类型	Article
语种	英语
国家	Iran ; Peoples R China ; Sudan ; Spain
开放获取类型	Bronze
收录类别	SCI-E
WOS记录号	WOS:000484954700006
WOS关键词	CATION-EXCHANGE CAPACITY ; ORGANIC-CARBON ; PARENT MATERIAL ; CALCIUM-CARBONATE ; BIOLOGICAL SOIL ; WATER-RETENTION ; LAND-USE ; EROSION ; CONNECTIVITY ; VARIABILITY
WOS类目	Environmental Sciences
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/2XILL650/216793
作者单位	1.Isfahan Univ Technol, Dept Soil Sci, Coll Agr, Esfahan 8415683111, Iran; 2.Henan Univ, Key Lab Geospatial Technol Middle & Lower Yellow, Coll Environm & Planning, Kaifeng 475004, Peoples R China; 3.Agr Sci & Nat Resources Univ Khuzestan, Dept Soil Sci, Ahwaz 6341773637, Iran; 4.Univ Khartoum, Dept Soil & Environm Sci, Fac Agr, Shambat 13314, Sudan; 5.Univ Malaga, Dept Geog, Inst Geomorfol & Suelos, E-29071 Malaga, Spain
推荐引用方式 GB/T 7714	Zeraatpisheh, Mojtaba,Ayoubi, Shamsollah,Sulieman, Magboul,et al. Determining the spatial distribution of soil properties using the environmental covariates and multivariate statistical analysis: a case study in semi-arid regions of Iran[J],2019,11(4):551-566.
APA	Zeraatpisheh, Mojtaba,Ayoubi, Shamsollah,Sulieman, Magboul,&Rodrigo-Comino, Jesus.(2019).Determining the spatial distribution of soil properties using the environmental covariates and multivariate statistical analysis: a case study in semi-arid regions of Iran.JOURNAL OF ARID LAND,11(4),551-566.
MLA	Zeraatpisheh, Mojtaba,et al."Determining the spatial distribution of soil properties using the environmental covariates and multivariate statistical analysis: a case study in semi-arid regions of Iran".JOURNAL OF ARID LAND 11.4(2019):551-566.