Next Article in Journal
What Is Accounting for the Rapid Decline in Cigarette Sales in Japan?
Next Article in Special Issue
Regional Spatial Management Based on Supply–Demand Risk of Ecosystem Services—A Case Study of the Fenghe River Watershed
Previous Article in Journal
The Risk of Subsequent Deep Vein Thrombosis and Pulmonary Embolism in Patients with Nontyphoidal Salmonellosis: A Nationwide Cohort Study
Previous Article in Special Issue
Recent Evolution of Coastal Tidal Flats and the Impacts of Intensified Human Activities in the Modern Radial Sand Ridges, East China
Open AccessArticle

Spatial Variation Characteristics of Soil Erodibility in the Yingwugou Watershed of the Middle Dan River, China

by 1,*, 2,3 and 2,3
1
Key Laboratory of Silviculture, Collaborative Innovation Center of Jiangxi Typical Trees Cultivation and Utilization, Forestry College of Jiangxi Agricultural University, Nanchang 330045, China
2
State Key Laboratory of Eco-hydraulics in Northwest Arid Region, Xi’an University of Technology, Xi’an 710048, China
3
Key Laboratory of National Forestry Administration on Ecological Hydrology and Disaster Prevention in Arid Regions, Xi’an University of Technology, Xi’an 710048, China
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2020, 17(10), 3568; https://doi.org/10.3390/ijerph17103568
Received: 30 March 2020 / Revised: 28 April 2020 / Accepted: 28 April 2020 / Published: 20 May 2020
(This article belongs to the Collection Ecosystem Services)
Knowledge of soil erodibility (k-value) is vital for measuring soil erosion and conservation planning. Through field sampling, laboratory analysis, and geostatistical analysis, the effects of land use type and soil depth on soil erodibility were studied in a typical watershed of China. The spatial distribution of k-value was determined by Kriging interpolation. Results showed that: (1) soil organic carbon (SOC) content in the study aera is 0.09–150.00 g/kg, and the soil is dominated by silt. The soil erodibility k-values obeyed normal distribution, with an average value of 0.032 t·hm2·h/(MJ·mm·hm2) and a medium degree variation. (2) k-values increased with soil depth. The k-values of surface soil (0–10 cm) for the six different vegetation types ranked in the following order: oak forest > peanut field > grassland > pine forest > tea field > corn field. (3) The theoretical semivariogram model of k-values was a spherical model; k-values in the study area gradually decreased from south to north and east to west, with an obvious banding distribution. Human activities have the greatest effect on k-value such that specific corresponding managements are needed. This could provide scientific and technological support for soil and water conservation measures and comprehensive utilization of the resources. View Full-Text
Keywords: soil erodibility; geostatistics; Kriging interpolation; spatial variability; influence factor soil erodibility; geostatistics; Kriging interpolation; spatial variability; influence factor
Show Figures

Figure 1

MDPI and ACS Style

Liu, X.; Zhang, Y.; Li, P. Spatial Variation Characteristics of Soil Erodibility in the Yingwugou Watershed of the Middle Dan River, China. Int. J. Environ. Res. Public Health 2020, 17, 3568.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop