[1]YU Yang,LIU Ji-ping,XU Yan-yan.Spatial Variability Characteristics of Soil Nutrient Contents in the Black Soil Region of Northeastern China[J].Research of Soil and Water Conservation,2009,16(05):66-69.
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Spatial Variability Characteristics of Soil Nutrient Contents in the Black Soil Region of Northeastern China
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
16
Number of periods:
2009 05
Page number:
66-69
Column:
Public date:
2009-10-20
- Title:
- Spatial Variability Characteristics of Soil Nutrient Contents in the Black Soil Region of Northeastern China
- Keywords:
- GIS; the spatial variability characteristics of soil nutrient; spatial log regression model
- CLC:
- S153.61;TP79
- DOI:
- -
- Abstract:
- Combining the methods of Statistical Analysis and GIS spatial analysis,a quantitative study on the spatial variability characteristics of soil nutrient contents are made by taking the standard multiple linear regression model and spatial log regression model in Yushu city.The results showed that the spatial variability characteristics of nitrogen was mainly influenced by the distance of river,settlements and path.The influencing factors of the spatial variability characteristics of phosphorus was the distance of settlements and path,it is suggested that the spatial variability characteristics of phosphorus was mainly influenced by the humanity factors; the spatial variability characteristics of potassium is a very complicated process and might be influenced by multiple factors such as hydrological effects,humanity factors and topography,among these factors topography is the most striking; the influencing factors of the spatial variability characteristics of soil organic matter is same as potassium,but the influence of the factors is relatively balanced.Compared with the models,we can see that the spatial log regression model is superior to the classical regression model when the soil nutrients have remarkably spatial autocorrelation.
- References:
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1900-01-01