干旱区生态环境知识资源中心(Arid): Quantification of soil quality under semi-arid agriculture in the northwest of Iran

Arid

DOI	10.1016/j.ecolind.2019.105770
	Quantification of soil quality under semi-arid agriculture in the northwest of Iran
	Nehrani, Somayeh Hamidi 1; Askari, Mohammad Sadegh 1; Saadat, Saeed 2; Delavar, Mohammad Amir 1; Taheri, Mehdi 3; Holden, Nicholas M.4
通讯作者	Askari, Mohammad Sadegh
来源期刊	ECOLOGICAL INDICATORS
ISSN	1470-160X
EISSN	1872-7034
出版年	2020
卷号	108
英文摘要	Current management practices are thought to be having adverse impacts on soil quality for semi-arid agriculture. A multidimensional quantification of soil quality was developed and tested under irrigated and rain-fed agricultural systems in the northwest of Iran. Thirty-four chemical, biological and physical soil quality indicators were quantified at two depths with mono-cropping and crop rotation (n = 154). Discriminant analysis (DA) and principal component analysis (PCA) were applied to identify a minimum data set (MDS) for developing soil quality indices (SQI). Soil organic carbon (SOC), soluble sodium (Na), geometric mean diameter of soil aggregate (GMD) and available zinc (Zn) were identified using PCA, and GMD, Zn and soil microbial respiration (SMR) were identified using DA. Six SQIs were produced using non-linear and linear scoring equations and integration approaches based on two independent MDS. SQIs were significantly different between irrigated and dry farming at both depths (P-value < 0.05), although there was no impact of crop rotation under conventional tillage. The best index was produced using linear scoring and additive integration based the MDS selected using discriminant analysis. While the PCA is the conventional technique for reducing data redundancy, DA identified a more useful MDS than PCA. The importance of soil aggregate stability, heavy metal pollution, biological activity, organic carbon content and soil sodicity was noted for monitoring and assessing the main threats to SQ, these did not have to be directly quantified for a useful SQI, but need to be understood for interpretation. The SQI provided a rapid, reproducible and reliable method for multifaceted assessment of soil quality. The study indicated adverse impact on soil quality of management systems operating in the semi-arid regions of Iran under rain-fed farming.
英文关键词	Conventional tillage Irrigated farming Rain-fed farming Discriminant analysis Principal component analysis Zanjan province
类型	Article
语种	英语
国家	Iran ; Ireland
收录类别	SCI-E
WOS记录号	WOS:000493902400083
WOS关键词	DIFFERENT LAND-USE ; TILLAGE PRACTICES ; ORGANIC-CARBON ; HEAVY-METALS ; INDEX ; DEGRADATION ; INDICATORS ; MANAGEMENT ; PROVINCE ; SYSTEMS
WOS类目	Biodiversity Conservation ; Environmental Sciences
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
EI主题词	2020-01-01
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/312289
作者单位	1.Univ Zanjan, Fac Agr, Dept Soil Sci, Zanjan, Iran; 2.AREEO, Soil & Water Res Inst, Karaj, Iran; 3.Zanjan Agr & Nat Resources Res & Educ Ctr, Zanjan, Iran; 4.Univ Coll Dublin, UCD Sch Biosyst & Food Engn, Dublin 4, Ireland
推荐引用方式 GB/T 7714	Nehrani, Somayeh Hamidi,Askari, Mohammad Sadegh,Saadat, Saeed,et al. Quantification of soil quality under semi-arid agriculture in the northwest of Iran[J],2020,108.
APA	Nehrani, Somayeh Hamidi,Askari, Mohammad Sadegh,Saadat, Saeed,Delavar, Mohammad Amir,Taheri, Mehdi,&Holden, Nicholas M..(2020).Quantification of soil quality under semi-arid agriculture in the northwest of Iran.ECOLOGICAL INDICATORS,108.
MLA	Nehrani, Somayeh Hamidi,et al."Quantification of soil quality under semi-arid agriculture in the northwest of Iran".ECOLOGICAL INDICATORS 108(2020).