56-2 Using Meta-Analyses to Assess Pedo-Variability Under Different Land Management.
Poster Number 721
Vincent d. Obade, Carbon Management and Sequestration Center (C-MASC), Ohio State University, Columbus, OH and Rattan Lal, School of Environment and Natural Resources - The Ohio State University, Columbus, OH
The conflicting spatial and temporal information on the impacts of management on soil quality creates the need for a comprehensive approach that can combine soil property data into a single accurate value. This study demonstrates an application of meta-analytic methods to integrate and quantitatively describe the effects of management practices on soil physical and chemical properties influencing agronomic yields. Soil samples were obtained from 5 sites within Ohio, USA at similar landscape position but different management practices. Soil samples were analyzed for determination of total soil organic carbon (SOC), bulk density (ρb), available water capacity (AWC), electrical conductivity (EC), and pH. Data were compared using the Odds Ratio (OR). Results indicate that the soil under conventional tillage (CT) had a lower OR (0.57) than that under no-till (NT) for SOC, pH (OR=0.81), ρb (OR=0.84), and AWC (OR=0.69). However, the OR for EC was the reverse (OR=1.36), being higher in soil under CT than NT. Based on the meta-analyses which provide a comparative assessment within the whole profile, the data support the conclusion that soils under CT are of a relatively lower quality than those under NT because they have lower SOC and AWC, but higher EC or salinity. Soil data under on-farm conditions will be collected over subsequent years, and analyzed in a similar fashion. Agricultural production may benefit from decision tools that help identify the most sustainable management practices.