Soil Plant Nutrient Research (SPNR) Site Logo
ARS Home About Us Helptop nav spacerContact Us En Espanoltop nav spacer
Printable VersionPrintable Version     E-mail this pageE-mail this page
Agricultural Research Service United States Department of Agriculture
Search
  Advanced Search
 
Programs and Projects
Subjects of Investigation
 

Research Project: IMPROVING SOIL AND NUTRIENT MANAGEMENT SYSTEMS FOR SUSTAINED PRODUCTIVITY AND ENVIRONMENTAL QUALITY

Location: Soil Plant Nutrient Research (SPNR)

Title: Using Pyrolysis Molecular Beam Mass Spectrometry to Characterize Soil Organic Carbon in Native Prairie Soils

Authors
item Magrini, K - NREL, BOULDER, CO
item Follett, Ronald
item Kimble, J - NRCS, RETIRED
item Davis, M - NREL, BOULDER, CO
item Pruessner, Elizabeth

Submitted to: Soil Science
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: April 25, 2007
Publication Date: September 1, 2007
Citation: Magrini, K., Follett, R.F., Kimble, J., Davis, M., Pruessner, E.G. 2007. Using Pyrolysis Molecular Beam Mass Spectrometry to Characterize Soil Organic Carbon in Native Prairie Soils. Soil Science. Vol. 172:659-672.

Interpretive Summary: This study characterizes soil organic carbon (SOC) with pyrolysis molecular beam mass spectrometry (py-MBMS) to determine correlations between the mass spectra and associated soil characterization data. Soil carbon chemistry and forms of SOC, including soil microbial biomass C, particulate organic matter C, and mineral associated C were assessed by multivariate statistical analyses to discover existing correlations and the potential to develope estimative models. Soil samples were well-characterized native prairie soils from the western U.S. Corn Belt and Great Plains located within 8 states (CO, NE, IA, ND, MT, TX, MO, and MN). Estimative correlations were found for samples collected across this large geographic region (at or greater than 0.90). SOC calendar age derived from radiocarbon-14 dating could be estimated for ustollic soils from MT, NE, and CO. These soils also contained deeper and younger aeolian layers, whose ages were correctly estimated with this technique.

Technical Abstract: The objective of this study was to characterize soil organic carbon (SOC) with pyrolysis molecular beam mass spectrometry (py-MBMS) and then to determine correlations between the mass spectra and associated soil characterization data. Both soil carbon chemistry and the organic forms in which SOC is sequestered (soil microbial biomass (SMBC), particulate organic matter carbon (POM C), and mineral associated carbon (Cmin C)) were assessed by multivariate statistical analyses to discover existing correlations and if they could be developed into estimative models. The sample set consisted of well-characterized soils collected from native prairie sites in the western U.S. Corn Belt and Great Plains: eleven sites located within eight mid-western states (CO, NE, IA, ND, MT, TX, MO, and MN). Sample characterization parameters included site, depth, % SOC, POM C, Cmin C, SMBC, and SOC calendar age (determined from 14C age). Estimative correlations were found for samples collected across this large geographic region (at or greater than 0.90) for SOC, POM C, Cmin C, and SMBC. SOC calendar age derived from radiocarbon-14 dating could be estimated for ustollic soils from MT, NE, and CO. These soils also contained deeper and younger aeolian layers, whose ages were correctly estimated with this technique. Py-MBMS analysis additionally showed that soils developed from water-sorted sediments on a tilled-floor lake plain (lacustrine soils) were significantly different from the other samples.

   

 
Project Team
Halvorson, Ardell
Hunter, William
Follett, Ronald - Ron
Manter, Daniel
Delgado, Jorge
 
Publications
   Publications
 
Related National Programs
  Soil Resource Management (202)
  Global Change (204)
  Water Availability and Water Management (211)
 
 
Last Modified: 05/22/2013
ARS Home | USDA.gov | Site Map | Policies and Links 
FOIA | Accessibility Statement | Privacy Policy | Nondiscrimination Statement | Information Quality | USA.gov | White House