Key Laboratory of Silviculture, Collaborative Innovation Center of Jiangxi Typical Trees Cultivation and Utilization, Forestry College of Jiangxi Agricultural University, Nanchang 330045, China.
State Key Laboratory of Eco-hydraulics in Northwest Arid Region, Xi'an University of Technology, Xi'an 710048, China.
Int J Environ Res Public Health. 2020 May 20;17(10):3568. doi: 10.3390/ijerph17103568.
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·hm·h/(MJ·mm·hm) 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.
土壤可蚀性(k 值)的知识对于衡量土壤侵蚀和保护规划至关重要。本研究通过野外采样、实验室分析和地统计学分析,研究了中国典型流域土地利用类型和土壤深度对土壤可蚀性的影响。利用克里金插值法确定了 k 值的空间分布。结果表明:(1)研究区土壤有机碳(SOC)含量为 0.09-150.00 g/kg,土壤以粉粒为主。土壤可蚀性 k 值服从正态分布,平均值为 0.032 t·hm·h/(MJ·mm·hm),变异性中等。(2)k 值随土壤深度增加而增加。六种不同植被类型的表层土壤(0-10 cm)k 值的排序为:栎林>花生地>草地>松林>茶园>玉米地。(3)k 值的理论半变异函数模型为球状模型;研究区 k 值从南到北、从东到西逐渐减小,具有明显的带状分布。人类活动对 k 值的影响最大,需要采取相应的管理措施。本研究可为水土保持措施和资源综合利用提供科学技术支撑。