干旱区生态环境知识资源中心(Arid): Soil erodibility and its prediction in semi-arid regions

Arid

DOI	10.1080/03650340.2019.1575509
	Soil erodibility and its prediction in semi-arid regions
	Ostovari, Yaser 1,2; Ghorbani-Dashtaki, Shoja 1; Kumar, Lalit 3; Shabani, Farzin 3,4,5
通讯作者	Ostovari, Yaser
来源期刊	ARCHIVES OF AGRONOMY AND SOIL SCIENCE
ISSN	0365-0340
EISSN	1476-3567
出版年	2019
卷号	65 期号:12 页码:1688-1703
英文摘要	Pedotransfer functions (PTFs) have been used to save time and cost in predicting certain soil properties, such as soil erodibility (K-factor). The main objectives of this study were to develop appropriate PTFs to predict the K-factor, and then compare new PTFs with Universal Soil Loss Equation (USLE) and the Revised Universal Soil Loss Equation (RUSLE) K-factor models. The K-factor was measured using 40 erosion plots under natural rainfall in Simakan Watershed, an area of 350 km(2) in central of Iran. The Regression Tree (RT) and Multiple Linear Regression (MLR) were used to develop PTFs for predicting the K-factor. The result showed that the mean of measured K was 0.01 t h MJ(-1) mm(-1). The mean K value predicted by USLE and RUSLE was 2.08 and 2.84 times more than the measured K, respectively. Although calcium carbonate was not considered in the original USLE and RUSLE K-factors, it appeared in the advanced PTFs due to its strong positive significant impact on aggregate stability and soil infiltration rate, resulting in decreased K-factor. The results also showed that the RT with R-2 = 0.84 had higher performance than developed MLR, USLE and RUSLE for the K estimation.
英文关键词	Dorudzan data mining erosivity stepwise regression regression tree
类型	Article
语种	英语
国家	Iran ; Germany ; Australia
收录类别	SCI-E
WOS记录号	WOS:000477721600006
WOS关键词	USLE K-FACTOR ; SPATIAL VARIABILITY ; CALCAREOUS SOILS ; EROSION ; EQUATION ; NOMOGRAPH ; RUSLE ; GIS
WOS类目	Agronomy ; 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/2XILL650/214370
作者单位	1.Shahrekord Univ, Coll Agr, Dept Soil Sci, Shahrekord, Iran; 2.Tech Univ Munich, TUM Sch Life Sci Weihenstephan, Chair Soil Sci, Freising Weihenstephan, Germany; 3.Univ New England, Sch Environm & Rural Sci, Ecosyst Management, Aemidale, Australia; 4.Flinders Univ S Australia, Coll Sci & Engn, Global Ecol, Adelaide, SA, Australia; 5.Macquarie Univ, Dept Biol Sci, Sydney, NSW, Australia
推荐引用方式 GB/T 7714	Ostovari, Yaser,Ghorbani-Dashtaki, Shoja,Kumar, Lalit,et al. Soil erodibility and its prediction in semi-arid regions[J],2019,65(12):1688-1703.
APA	Ostovari, Yaser,Ghorbani-Dashtaki, Shoja,Kumar, Lalit,&Shabani, Farzin.(2019).Soil erodibility and its prediction in semi-arid regions.ARCHIVES OF AGRONOMY AND SOIL SCIENCE,65(12),1688-1703.
MLA	Ostovari, Yaser,et al."Soil erodibility and its prediction in semi-arid regions".ARCHIVES OF AGRONOMY AND SOIL SCIENCE 65.12(2019):1688-1703.