Spatial patterns of soil microbial communities and implications for precision soil management at the field scale

• Published in: Precision agriculture 2022-06, Vol.23 (3), p.1008-1026
• Main Authors: Neupane, Jasmine, Guo, Wenxuan, Cao, Guofeng, Zhang, Fangyuan, Slaughter, Lindsey, Deb, Sanjit
• Format: Article
• Language: English
• Subjects: Agriculture; Atmospheric Sciences; Biomass; Biomedical and Life Sciences; Chemical properties; Chemistry and Earth Sciences; Community planning; Community structure; Computer Science; Crop production; Electrical conductivity; Electrical resistivity; Elevation; Fatty acids; Life Sciences; Microbial activity; Microorganisms; Moisture content; Organic carbon; Organic soils; pH effects; Physicochemical properties; Physics; Remote Sensing/Photogrammetry; Soil chemistry; Soil conductivity; Soil management; Soil microorganisms; Soil pH; Soil properties; Soil sampling; Soil Science & Conservation; Soil structure; Soil texture; Soil types; Soil water; Soils; Statistics for Engineering; Texture; Topography; Water content
• ISSN: 1385-2256; 1573-1618
• DOI: 10.1007/s11119-021-09872-1

Understanding the spatial patterns of soil microbial communities and influencing factors is a prerequisite for soil health assessments and site-specific management to improve crop production. However, soil microbial community structure at the field scale is complicated by the interactions among topography and soil properties. The objectives of this study were to (1) characterize the spatial variability patterns of soil microbial communities at the field scale; (2) assess the influence of soil physico-chemical properties, topography and management on soil microbial biomass spatial variability. This study was conducted in a 194-ha commercially-managed field in Hale County, Texas, in 2017. A total of 212 composite soil samples were collected at 0–0.15 m depth and analyzed via the ester-linked fatty acid methyl ester (EL-FAME) method to characterize the microbial community structure and biomass. Soil electrical conductivity (EC), pH, soil texture, soil water content (SWC), soil organic carbon (SOC) and total nitrogen (TN) were determined for each soil sample. Topographic attributes, including elevation and slope, were derived from real-time kinematic (RTK) point elevation data. Interpolated microbial community maps at this scale revealed a spatially structured distribution of microbial biomass and diversity with patches of several hundred meters in different directions corresponding to the distribution of soil types and topography. Most of the microbial communities were autocorrelated at greater ranges within the same soil types than across different soils. The distribution of total soil microbial biomass was mainly affected by SOC and SWC. Soil pH and C:N ratio had a negative impact on the biomass of bacterial communities. Biomass of fungal communities was negatively influenced by slope and elevation. The results of this study have the potential to provide a basis for designing soil sampling plans in characterizing microbial community distribution and site-specific soil health management.