干旱区生态环境知识资源中心(Arid): Predictive mapping of soil organic carbon in Northeast Algeria

Arid

DOI	10.1016/j.catena.2020.104539
	Predictive mapping of soil organic carbon in Northeast Algeria
	Boubehziz, Sana; Khanchoul, Kamel; Benslama, Mohamed; Benslama, Abdelraouf; Marchetti, Alessandro; Francaviglia, Rosa; Piccini, Chiara
通讯作者	Boubehziz, S
来源期刊	CATENA
ISSN	0341-8162
EISSN	1872-6887
出版年	2020
卷号	190
英文摘要	Soils of semi-arid climates undergo organic carbon loss, which in turn affects their agricultural potential. Geostatistics is often used as an interpolation tool to thoroughly describe SOC spatial distribution. To focus on soil organic carbon (SOC) depletion, the Tiffech watershed (Northeast of Algeria), an economically important agricultural area, was chosen due to intensive agricultural practices, decline of forests and occurrence of erosion. The present study aimed to predict the spatial variation of SOC in Tiffech watershed using geostatistics and a Geographical Information System (GIS) software, comparing the performance of two geostatistical methods-Ordinary Kriging (OK) and Regression Kriging (RK)-also assessing the role of auxiliary variables in improving the prediction accuracy and highlighting the role of land cover in SOC storage. The SOC content in Tiffech soils was determined on 42 soil samples from the surface layer (0-10 cm) collected all over the study area and the results were used to estimate SOC density in non-sampled locations. The prediction efficiency of the two methods was evaluated by calculating the Mean Error (ME), the Root Mean Square Error (RMSE) and the Root Mean Square Standardized Error (RMSSE). The interpolation results showed that SOC distribution in the study area was correlated to the topography, the clay index, and general landscape features. SOC content increased northwards in the area, ranging from 0.53 to 6.9 kg.m(-2) in relation to land use. As expected, maps figured a good conservation status of SOC stocks in areas with dense vegetation; conversely poor SOC contents were estimated where land degradation factors take place. Cross-validation results showed an outperformance in the interpolation accuracy of RK on OK after the introduction of environmental variables, with an RMSE value of 0.02 versus 0.81. This suggests a higher efficiency of RK in predicting SOC content across the Tiffech area in comparison with OK, confirming that introducing some auxiliary data correlated to the target variable in SOC estimation, considerably improved the interpolation accuracy.
英文关键词	Ordinary kriging Regression kriging Semiarid soils Spatial variability Land use
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000525324600023
WOS关键词	SPATIAL PREDICTION ; CATEGORICAL VARIABLES ; STOCKS ; VARIABILITY ; MATTER ; ATTRIBUTES ; FRACTIONS ; TEXTURE ; INDEX
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/2XILL650/324332
作者单位	[Boubehziz, Sana; Benslama, Mohamed] Badji Mokhtar Univ Annaba, Dept Biol, Lab Soil & Sustainable Dev, POB 12, Annaba 23000, Algeria; [Khanchoul, Kamel] Badji Mokhtar Univ Annaba, Dept Geol, Lab Soil & Sustainable Dev, POB 12, Annaba 23000, Algeria; [Benslama, Abdelraouf] Univ Ghardaia, Lab Math & Appl Sci, POB 455, Ghardaia 47000, Algeria; [Marchetti, Alessandro; Francaviglia, Rosa; Piccini, Chiara] Council Agr Res & Econ, Res Ctr Agr & Environm, Via Navicella 2-4, I-00184 Rome, Italy
推荐引用方式 GB/T 7714	Boubehziz, Sana,Khanchoul, Kamel,Benslama, Mohamed,et al. Predictive mapping of soil organic carbon in Northeast Algeria[J],2020,190.
APA	Boubehziz, Sana.,Khanchoul, Kamel.,Benslama, Mohamed.,Benslama, Abdelraouf.,Marchetti, Alessandro.,...&Piccini, Chiara.(2020).Predictive mapping of soil organic carbon in Northeast Algeria.CATENA,190.
MLA	Boubehziz, Sana,et al."Predictive mapping of soil organic carbon in Northeast Algeria".CATENA 190(2020).