@article{Xu:160731,
      recid = {160731},
      author = {Xu, Guoce and Li, Zhanbin and Li, Peng and Zhang, Tiegang  and Gao, Haidong},
      title = {Profile Distribution of Soil Properties on Sloping  Cropland in Yingwugou Small Watershed of the Dan River  Basin},
      journal = {Asian Agricultural Research},
      address = {2013-10},
      number = {1812-2016-144005},
      pages = {6},
      year = {2013},
      abstract = {Base on 3 m×3 m grid in sloping cornfield with soil auger  in Yingwugou Small Watershed of the Dan River Basin, a  total of 39 sampling points were collected, and soil water  content and nutrient content were measured in different  soil depths. Meanwhile, the soil properties of different  depth  have been analyzed by traditional statistical and  geo-statistics approaches. The results showed: the mean  value of total nitrogen and soil organic carbon reduced as  soil depth increased in general. But soil water content  increased as the soil depth increased. The change of total  phosphorus with soil depth was not obvious. The total  nitrogen, soil water content, soil organic carbon and total  phosphorus presented a moderate intensity variation and  strong spatial dependence. In these four sampling depths,  semi-variance model can simulate the precisions of total  nitrogen, soil water content and total phosphorus in the  spatial structures of 0 to 10 cm and 10 to 20 cm well. But  the spatial structure of soil organic carbon was not good,  which could not be simulated with semi-variance model. The  analysis with Kriging interpolation showed that, the total  nitrogen, soil water content and total phosphorus presented  layered distribution in the spatial structures of 0 to 10  cm and 10 to 20 cm; when the spatial distribution changed  to 10 to 20 cm from 0 to 10 cm, the average total nitrogen  content reduced to 0.310 g/kg from 0.598 g/kg, while the  average water content and total phosphorus increased from  12.988% to 15.439% and from 0.229 g/kg to 0.366 g/kg,  respectively.},
      url = {http://ageconsearch.umn.edu/record/160731},
      doi = {https://doi.org/10.22004/ag.econ.160731},
}