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

	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; Ayoubi Shamsollah; Sulieman Magboul; Rodrigo-Comino Jesus
来源期刊	Journal of Arid Land
ISSN	1674-6767
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
开放获取类型	Bronze
收录类别	CSCD
WOS研究方向	Agriculture
CSCD记录号	CSCD:6569770
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/336171
作者单位	Zeraatpisheh Mojtaba, Department of Soil Science, College of Agriculture, Isfahan University of Technology;;College of Environment and Planning, Henan University;;Department of Soil Science, Agricultural Sciences and Natural Resources University of Khuzestan, ;;MOE Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions;;, Isfahan;;Kaifeng;;Ahvaz, Iran;;;;Iran 84156-83111;;475004;;6341773637.; Ayoubi Shamsollah, Department of Soil Science, College of Agriculture, Isfahan University of Technology, Isfahan, 84156-83111, Iran.; Sulieman Magboul, Department of Soil and Environment Sciences, Faculty of Agriculture, University of Khartoum, Shambat, 13314, Sudan.; Rodrigo-Comino Jesus, Instituto de Geomorfologia y Suelos, Department of Geography, University of Malaga, Malaga 29071, 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.