Soil Particle Composition and Nutrient Characteristics of Wind Erosion Pits in Sandy Grassland
In order to investigate the evolutionary characteristics of soil quality of grassland wind erosion pit development and its impact on the structure and function of grassland ecosystems,wind erosion pits at different development stages of typical sandy grassland in Duolun county were as a research object,surrounding unwind-eroded grassland as control(CK).Soil particle size composition and nutrient characteristics of grassland wind erosion pits were analyzed by means of field observations and indoor indicator measurements.The results showed that the average particle size of the study area was 1.65～3.55 μm.The average particle sizes of the unwind-eroded grassland and the extinction stage were significantly higher than those of other development stages,and the average particle size of the active development stage was the lowest.The soil particle size gradually coarsened during the development of the wind erosion pit,the content of coarse sand increased to 9.72%in the active development stage,which the distribution of soil particle was the worst.Powder particle was reduced to 0.87%and 0.88%,respectively,in the active development stage and activation stage.As the wind erosion pits gradually moved towards extinction,the soil particles becomed finer,the coarse sand decreased,and the clay particles keeped increasing in extinction stage.The soil organic matter(SOM),available potassium(AK)and available phosphorus(AP)contents were significant differences among different development stages of wind erosion pits,while there was no significant difference in alkaline hydrolysis nitrogen(AN)content.The development of wind erosion pits could cause significantly loss of soil SOM and AK,AP content decreased in initial develop stage and then increased in active development stage,and AN content varied less during the development of the wind erosion pits.
wind erosion pitsoil particle sizenutrient characteristicsformative and developmental stage
国家科技期刊平台
NSTL
万方数据
