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DOI	10.1016/j.ecolind.2020.106736
	Spatio-temporal dynamic of soil quality in the central Iranian desert modeled with machine learning and digital soil assessment techniques
	Fathizad, Hassan; Ardakani, Mohammad Ali Hakimzadeh; Heung, Brandon; Sodaiezadeh, Hamid; Rahmani, Asghar; Fathabadi, Abolhasan; Scholten, Thomas; Taghizadeh-Mehrjardi, Ruhollah
通讯作者	Fathizad, H ; Taghizadeh-Mehrjardi, R
来源期刊	ECOLOGICAL INDICATORS
ISSN	1470-160X
EISSN	1872-7034
出版年	2020
卷号	118
英文摘要	Soil degradation reduces soil quality by a loss of organic matter, reduced soil fertility, and structural breakdown, erosion, undesirable changes in salinity, acidity or alkalinity and the effects of toxic chemicals, contaminants or excessive flooding. In this study, we investigated spatial and temporal changes of soil quality between 1986 and 2030 in the Central Iranian desert. 201 topsoil samples (0-20 cm) in Yazd-Ardakan plain of Iran were chosen with conditioned Latin hypercube sampling strategy and analysed for soil organic carbon, electrical conductivity, dry bulk density, aggregate stability, and soil heavy metals. A soil quality index was calculated using weighted index method. To predict the spatial distribution of the soil quality index, we implemented a random forest model based on a set of covariates with a coefficient of determination of 0.69 between soil quality index and covariates. The results of soil quality index changes from 1986 to 2030 show that during this period, the areal extent of the Very Low SQI Class (< 0.4) increased by 78,242 ha (increase of 16.2%), while the extent of the Good SQI Class (> 0.6) decreased by 366,018 ha (decrease of 75.8%). This indicates that the soil quality in the study area, over time, is progressively becoming poorer. The results of the study of soil quality changes can be used in land evaluation, environmental studies and integrated planning and management in order to properly and reasonably utilize natural resources and reduce future soil degradation.
英文关键词	Land degradation Digital soil mapping Soil quality index Random forest Arid regions
类型	Article
语种	英语
开放获取类型	hybrid
收录类别	SCI-E
WOS记录号	WOS:000578967500033
WOS关键词	LAND-USE CHANGE ; ORGANIC-CARBON STOCKS ; MINIMUM DATA SET ; NEW-SOUTH-WALES ; SENSITIVITY-ANALYSIS ; ELECTRICAL-CONDUCTIVITY ; GLOBAL SENSITIVITY ; AGRICULTURAL LAND ; RISK-EVALUATION ; RANDOM FORESTS
WOS类目	Biodiversity Conservation ; Environmental Sciences
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/326814
作者单位	[Fathizad, Hassan; Ardakani, Mohammad Ali Hakimzadeh; Sodaiezadeh, Hamid] Yazd Univ, Coll Nat Resources & Desert, Dept Arid & Desert Reg Management, Yazd, Iran; [Heung, Brandon] Dalhousie Univ, Dept Plant Food & Environm Sci, Fac Agr, Halifax, NS, Canada; [Rahmani, Asghar] Univ Tehran, Coll Agr & Nat Resources, Dept Soil Sci, Tehran, Iran; [Fathabadi, Abolhasan] Gonbad Kavous Univ, Dept Range & Watershed Management, Gonbad Kavous, Golestan, Iran; [Scholten, Thomas; Taghizadeh-Mehrjardi, Ruhollah] Univ Tubingen, Dept Geosci Soil Sci & Geomorphol, Tubingen, Germany; [Scholten, Thomas; Taghizadeh-Mehrjardi, Ruhollah] Univ Tubingen, DFG Cluster Excellence Machine Learning, Tubingen, Germany; [Taghizadeh-Mehrjardi, Ruhollah] Ardakan Univ, Fac Agr, Ardakan, Iran; [Taghizadeh-Mehrjardi, Ruhollah] Ardakan Univ, Dept Nat Resources, Ardakan, Iran
推荐引用方式 GB/T 7714	Fathizad, Hassan,Ardakani, Mohammad Ali Hakimzadeh,Heung, Brandon,et al. Spatio-temporal dynamic of soil quality in the central Iranian desert modeled with machine learning and digital soil assessment techniques[J],2020,118.
APA	Fathizad, Hassan.,Ardakani, Mohammad Ali Hakimzadeh.,Heung, Brandon.,Sodaiezadeh, Hamid.,Rahmani, Asghar.,...&Taghizadeh-Mehrjardi, Ruhollah.(2020).Spatio-temporal dynamic of soil quality in the central Iranian desert modeled with machine learning and digital soil assessment techniques.ECOLOGICAL INDICATORS,118.
MLA	Fathizad, Hassan,et al."Spatio-temporal dynamic of soil quality in the central Iranian desert modeled with machine learning and digital soil assessment techniques".ECOLOGICAL INDICATORS 118(2020).