[1]PEI Zhongxue,WU Yan,WANG Qiong,et al.Correlations Between Soil Porosity-Related Parameters and Other Soil Parameters in Songnen Plain, Northeastern China[J].Research of Soil and Water Conservation,2016,23(02):134-138.
Copy
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
23
Number of periods:
2016 02
Page number:
134-138
Column:
Public date:
2016-04-28
- Title:
-
Correlations Between Soil Porosity-Related Parameters and Other Soil Parameters in Songnen Plain, Northeastern China
- Author(s):
-
PEI Zhongxue1, WU Yan1,2, WANG Qiong1, ZHONG Zhaoliang1, REN Manli1, WEI Chenhui1, LU Jiali1, WANG Wenjie1
-
1. Key Laboratory of Forest Plant Ecology Ministry of Education, Northeast Forestry University, Harbin 150040, China;
2. College of Life Science, Daqing Normal University, Daqing, Heilongjiang 163712, China
-
- Keywords:
-
soil physical properties; correlation; regression analysis
- CLC:
-
Q948.113
- DOI:
-
-
- Abstract:
-
In order to study the influence of soil physical property change on the soil function of the black soil in northeast of China, soil samples from different regions of Songnen Plain were selected as the research materials, and 3 soil porosity-related parameters such as soil specific surface area, soil bulk density and soil porosity were measured, and 10 parameters such as soil fertility and soil physic-chemical properties including soil pH, soil electrical conductivity (EC), soil water content, soil organic carbon (SOC), total nitrogen (TN), alkali-hydrolyzed nitrogen (AN), total potassium (TK), available potassium (AK), total phosphorus (TP), available phosphorus (AP). The results showed that number of significant correlation and R2 of various correlations between 3 physical properties and other soil parameters indicated that soil bulk density had the most significant correlation with variable soil fertility, soil physic-chemical parameters. Different physical parameters differed in their predicating abilities of variable aspect of soil fertility, both simple linear regression and stepwise regression have found the similar rule: soil specific surface area is capable of predicting soil water due to the fact of strongest positive correlation between these parameters and soil water content(R2=0.24, slope=0.085); soil bulk density was significantly correlated with SOC (R2=0.21, slope=-24.92), while soil porosity was significantly correlated with TN (R2=0.08, slope=0.02). The correlation analysis between 3 soil physical parameters and different forms of nutrients showed that soil physical parameters were generally highly correlated with total nutrients (TN, TK, TP)(R2=0.058), but had relatively weak relations with their available forms (AN, AK, AP)(R2=0.026).