干旱区生态环境知识资源中心(Arid): Investigation of the spatial and temporal variation of soil salinity using random forests in the central desert of Iran

Arid

DOI	10.1016/j.geoderma.2020.114233
	Investigation of the spatial and temporal variation of soil salinity using random forests in the central desert of Iran
	Fathizad, Hassan 1; Ardakani, Mohammad Ali Hakimzadeh 1; Sodaiezadeh, Hamid 1; Kerry, Ruth 2; Taghizadeh-Mehrjardi, Ruhollah 3,4
通讯作者	Fathizad, Hassan
来源期刊	GEODERMA
ISSN	0016-7061
EISSN	1872-6259
出版年	2020
卷号	365
英文摘要	Traditional soil salinity studies, especially over large areas, are expensive and time-consuming. Therefore, it is necessary to employ new methods to examine salinity of large areas to reduce the time and cost of analysis. This study investigates soil salinity trends in the Yazd-Ardakan plain of Iran using remote sensing with emphasis on historic and projected land use and groundwater change betWeen 1986 and 2030. A random forest model was used to estimate soil salinity. To predict the salinity of the Yazd-Ardakan plain in 2030, the relationships between soil and auxiliary data from 2016 were used. Land use parameters and groundwater quality parameters that are projected to change by 2030 were selected. A sensitivity analysis of a forage management model was conducted in conjunction with soil salinity modeling and the most important auxiliary data were found to be groundwater parameters and digital elevation derivatives of vegetation indices. Based on 10-fold cross-validation, random forest model predicted soil salinity with R-2 value of 0.73. Comparison of soil salinity trends from 1986 to 2016 shows that during this period the size of the area with salinities in the range of 4-8 dS/m and > 32 dS/m were increased from 1.6 to 3.1% (similar to 1.5%up arrow) and from 13.1 to 18.3% (similar to 5.1%up arrow), respectively. However, the size of the fairly high (8-12 dS/m), high (12-16 dS/m) and very high (16-32 dS/m) classes were decreased from 13.6 to 11.9% (similar to 1.7%down arrow), from 20.2 to 16.5% (similar to 3.8%down arrow), and from 50.2 to 49% (similar to 1.1%down arrow), respectively. In other words, it can be said that during this 30-years, we see an increase in salinity levels and a decrease in soil quality. The results of the changes in soil salinity show that between 2016 and 2030, the area of the class with > 32 (dS/m) (43159.2 ha, 8.83%up arrow) increased, while the class with < 4 (dS/m), was eliminated in 2030 and the 4-8 (dS/m) class is on the verge of disappearing. The trend of salinity changes in the region shows an increase from east to west, which is consistent with the trend of changes in the most important ancillary variables identified.
英文关键词	Remote sensing Land use Groundwater Modeling Auxiliary data Random forest model
类型	Article
语种	英语
国家	Iran ; USA ; Germany
收录类别	SCI-E
WOS记录号	WOS:000518707700013
WOS关键词	SALT-AFFECTED SOILS ; LAND DEGRADATION ; REGRESSION ; PREDICTION ; CLASSIFICATION ; REGION ; INDEX ; AREA ; INFORMATION ; VARIABILITY
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/2XILL650/314593
作者单位	1.Yazd Univ, Coll Nat Resources & Desert, Dept Arid & Desert Reg Management, Yazd, Iran; 2.Brigham Young Univ, Dept Geog, Provo, UT 84602 USA; 3.Ardakan Univ, Fac Agr & Nat Resources, Ardakan, Iran; 4.Univ Tubingen, Dept Geosci Soil Sci & Geomorphol, Tubingen, Germany
推荐引用方式 GB/T 7714	Fathizad, Hassan,Ardakani, Mohammad Ali Hakimzadeh,Sodaiezadeh, Hamid,et al. Investigation of the spatial and temporal variation of soil salinity using random forests in the central desert of Iran[J],2020,365.
APA	Fathizad, Hassan,Ardakani, Mohammad Ali Hakimzadeh,Sodaiezadeh, Hamid,Kerry, Ruth,&Taghizadeh-Mehrjardi, Ruhollah.(2020).Investigation of the spatial and temporal variation of soil salinity using random forests in the central desert of Iran.GEODERMA,365.
MLA	Fathizad, Hassan,et al."Investigation of the spatial and temporal variation of soil salinity using random forests in the central desert of Iran".GEODERMA 365(2020).