Title :
Notice of Retraction
Spatial variation of soil moisture on grassland on the semi-arid Loess Plateau
Author :
Yan Zhu ; Yan Zhang ; Qingke Zhu ; Hao Ma
Author_Institution :
Key Lab. of Soil & Water Conservation & Desertification Combat, Beijing Forest Univ., Beijing, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Soil moisture is one of the major limiting factors that determine vegetation restoration in the semi-arid Loess Plateau. A grassland of 8.3 ha. above the gully line of valleys, was selected as a sampling field to analyze the spatial variation of soil moisture. Soil moisture in topsoil (0-20cm) and subsoil (40-60cm) at 107 sampling points were measured using oven-drying methods in the end of dry season. The study revealed several findings: (1) Soil moisture in both topsoil and subsoil were significantly correlated with slope position and aspect but not with slope gradient. (2) Soil moisture had a moderate spatial autocorrelation within the range of 68.7 m in topsoil and a strong spatial autocorrelation within the range of 76.0 m in subsoil. Spatial distribution patterns of soil moisture in topsoil and subsoil were similar, though the topsoil was evidently drier than the subsoil.
Keywords :
geophysical techniques; hydrology; remote sensing; soil; dry season; grassland; oven-drying methods; semiarid Loess Plateau; slope gradient; slope position; soil moisture; spatial autocorrelation; spatial distribution patterns; spatial variation; subsoil; topsoil; vegetation restoration; Biological system modeling; Correlation; Soil; dry season; soil moisture; spatial variation; the Loess Plateau;
Conference_Titel :
Geoscience and Remote Sensing (IITA-GRS), 2010 Second IITA International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-8514-7
DOI :
10.1109/IITA-GRS.2010.5603121