干旱区生态环境知识资源中心(Arid): Digital mapping of soil erodibility factors based on decision tree using geostatistical approaches in terrestrial ecosystem

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DOI	10.1016/j.catena.2021.105634
	Digital mapping of soil erodibility factors based on decision tree using geostatistical approaches in terrestrial ecosystem
	Alaboz, Pelin; Dengiz, Orhan; Demir, Sinan; Senol, Huseyin
通讯作者	Alaboz, P (corresponding author), Isparta Univ Appl Sci, Fac Agr, Dept Soil Sci & Plant Nutr, Isparta, Turkey.
来源期刊	CATENA
ISSN	0341-8162
EISSN	1872-6887
出版年	2021
卷号	207
英文摘要	The improper and unconscious use of the soil, a production material for humans, increases the risk of desertification and degradation. This study examines the some erosion susceptibility parameters such as soil erosion factor (USLE-K), dispersion ratio, and aggregate stability by applying various algorithms in decision trees and evaluating the spatial distribution of these properties using multiple interpolation method. While determining statistically significant correlations (P < 0.01) between aggregate stability of soils and mass fractal dimension and mean diameter weight, these features were employed as the root node and inner node in decision trees. The highest estimation rate was determined categorically with the CART algorithm in the prediction phase with decision trees. Aggregate stability was determined by applying two tree depths and mass fractal dimension and silt variables with 81.1% accuracy. In predicting the K factor, the silt and clay variables were estimated at 90.6% by forming nodes. In comparison, the dispersion ratio was calculated at 77.4% accuracy with clay, EC, and mean diameter weight. Soils categorized as moderately erodible according to the USLE-K factor were estimated at 92.3% level of accuracy with decision trees. In the predictive values obtained by numerical data, the highest aggregate stability and the USLE-K factor were obtained with the lowest prediction accuracy. This change was similar in distribution maps. The lowest root means squarer error (8.074; 5.106) was obtained by the simple kriging interpolation method in the distribution maps of the aggregate stability observed and predicted values.
英文关键词	Mass fractal dimension Decision tree CART USLE-K Aggregate stability
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000703268900059
WOS关键词	PARTICLE-SIZE DISTRIBUTION ; FRACTAL DIMENSION ; ORGANIC-MATTER ; CONSERVATION TILLAGE ; AGGREGATE STABILITY ; EROSION ; RUNOFF ; MANAGEMENT ; CARBON ; STABILIZATION
WOS类目	Geosciences, Multidisciplinary ; Soil Science ; Water Resources
WOS研究方向	Geology ; Agriculture ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/362824
作者单位	[Alaboz, Pelin; Demir, Sinan; Senol, Huseyin] Isparta Univ Appl Sci, Fac Agr, Dept Soil Sci & Plant Nutr, Isparta, Turkey; [Dengiz, Orhan] Ondokuz Mayis Univ, Fac Agr, Dept Soil Sci & Plant Nutr, Samsun, Turkey
推荐引用方式 GB/T 7714	Alaboz, Pelin,Dengiz, Orhan,Demir, Sinan,et al. Digital mapping of soil erodibility factors based on decision tree using geostatistical approaches in terrestrial ecosystem[J],2021,207.
APA	Alaboz, Pelin,Dengiz, Orhan,Demir, Sinan,&Senol, Huseyin.(2021).Digital mapping of soil erodibility factors based on decision tree using geostatistical approaches in terrestrial ecosystem.CATENA,207.
MLA	Alaboz, Pelin,et al."Digital mapping of soil erodibility factors based on decision tree using geostatistical approaches in terrestrial ecosystem".CATENA 207(2021).