Skip to main content

page search

Library Linking the soil moisture distribution pattern to dynamic processes along slope transects in the Loess Plateau, China

Linking the soil moisture distribution pattern to dynamic processes along slope transects in the Loess Plateau, China

Linking the soil moisture distribution pattern to dynamic processes along slope transects in the Loess Plateau, China

Resource information

Date of publication
December 2015
Resource Language
ISBN / Resource ID
AGRIS:US201600126052
Pages
778

Soil moisture pulses are a prerequisite for other land surface pulses at various spatiotemporal scales in arid and semi-arid areas. The temporal dynamics and profile variability of soil moisture in relation to land cover combinations were studied along five slopes transect on the Loess Plateau during the rainy season of 2011. Within the 3 months of the growing season coupled with the rainy season, all of the soil moisture was replenished in the area, proving that a type stability exists between different land cover soil moisture levels. Land cover combinations disturbed the trend determined by topography and increased soil moisture variability in space and time. The stability of soil moisture resulting from the dynamic processes could produce stable patterns on the slopes. The relationships between the mean soil moisture and vertical standard deviation (SD) and coefficient of variation (CV) were more complex, largely due to the fact that different land cover types had distinctive vertical patterns of soil moisture. The spatial SD of each layer had a positive correlation and the spatial CV exhibited a negative correlation with the increase in mean soil moisture. The soil moisture stability implies that sampling comparisons in this area can be conducted at different times to accurately compare different land use types.

Share on RLBI navigator
NO

Authors and Publishers

Author(s), editor(s), contributor(s)

Wang, Shuai
Fu, Bojie
Gao, Guangyao
Zhou, Ji
Jiao, Lei
Liu, Jianbo

Publisher(s)
Data Provider
Geographical focus