• DocumentCode
    3373059
  • Title

    Spatial variability of soil properties and its affecting factors at small scale

  • Author

    Haitao Zhang ; Xue Tian ; Jie Zhang ; Long Guo

  • Author_Institution
    Coll. of Resources & Environ., Huazhong Agric. Univ., Wuhan, China
  • fYear
    2013
  • fDate
    12-16 Aug. 2013
  • Firstpage
    279
  • Lastpage
    285
  • Abstract
    This study selected some areas in the Honghuatao town, Yichang City located in the middle reaches of Yangtze River as sample area to study the spatial variability and its affecting factors of soil properties. Several soil chemical parameters on sampling points were chosen, like alkali-hydrolyzable N (AN), available P (AP), K (AK), total organic matter content (OMC) and pH value, with geostatistical methods to explore their spatial heterogeneities. The results show that all the five indexes of soil properties display a significant correlation, (P≤0.05, 0.01) except AN and AP, pH and AP, pH and OMC. The coefficient of variability (CV) reveals that all variables have variability except available P (AP) and available K (AK). Results obtained from geostatistical analysis explain that AN, AP, AK and pH have moderate spatial variability, and OMC, which is decided by random and structural factors, has weak spatial variability. The analysis of influential factors shows that AN, AP, AK are not correlated with topography and land use types, or their correlations have not reached significant level.
  • Keywords
    sampling methods; soil; Honghuatao town; Yangtze River; Yichang City; alkali hydrolyzable; geostatistical methods; land use types; pH value; sampling points; soil chemical parameters; soil properties spatial variability; topography; total organic matter content; Agriculture; Analysis of variance; Correlation; Indexes; Soil; field scale; semivariogram; soil properties; spatial variability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Agro-Geoinformatics (Agro-Geoinformatics), 2013 Second International Conference on
  • Conference_Location
    Fairfax, VA
  • Type

    conf

  • DOI
    10.1109/Argo-Geoinformatics.2013.6621922
  • Filename
    6621922