Variability and Modelling of Soil Moisture, Salt and Organic Matter Content in a Gravel-Sand Mulched Jujube Orchard

• Main Author: Wenju Zhao, Jiazhen Hu, Zongli Li and Jie Sheng
• Format: Article
• Language: English
• Published: Technoscience Publications 2020-12-01
• Series: Nature Environment and Pollution Technology
• Subjects: environment
• Online Access: http://neptjournal.com/upload-images/(22)D-1073.pdf
• ISSN: 0972-6268; 2395-3454

Characterization of the variability of soil moisture, salt content and organic matter content (SOM) is of great significance in agricultural production management and sustainable soil utilization. We present a case study of the variability and modelling with the depth of soil moisture, salt and SOM in a gravelsand mulched jujube orchard, using Geostatistics and Kriging interpolation. Soil moisture, salt and SOM were measured in 256 samples collected from a gravel-sand mulched jujube orchard in the 0-10, 10-20, 20-30 and 30-50 cm. Soil moisture, salt and SOM were more variable in the surface soil, due to several environmental factors, the coefficients of variation (CV) of soil were lower than 23%, indicating weak to moderate variation. The coefficient of variation of moisture and organic matter decreased with the depth and the salinity increased with the depth. There is a significant correlation between each soil layer, which decreases with the increase of the soil layer. The accuracy of the function model with depth as an independent variable and soil properties as a dependent variable is higher than 0.88. To master the relationship among soil depth, salinity, soil moisture and organic matter content can provide theoretical value for agricultural comprehensive management.