Earth’s soil contains large stocks of carbon — even more carbon than in the atmosphere. A significant portion of this soil carbon is in organic form (carbon bound to carbon), called soil organic carbon (SOC). However, SOC has historically been greatly diminished by agricultural activity, releasing that carbon into the atmosphere as carbon dioxide, contributing to climate change.
To monitor and sustainably manage SOC stocks under agricultural land use, an accurate way to measure SOC is essential. However, current methods of accurately estimating SOC are resource- and cost-intensive. In their new study, published in Geoderma, Agroecosystem Sustainability Center (ASC) researchers tested a new sampling method in hopes of improving the ability to estimate SOC stocks.
The team’s previous research suggested that readily available spatial information in public databases could improve the efficiency of SOC sampling in agricultural fields. This study, led by ASC’s Eric Potash, a Research Scientist in the Department of Natural Resource & Environmental Sciences (NRES) at the University of Illinois Urbana-Champaign, tested that hypothesis in eight fields across Illinois and Nebraska.
Read more at: University of Illinois Urbana-Champaign
Research Technician Michael Douglass and Postdoctoral Researcher Nan Li conducting deep soil coring for quantifying soil organic carbon stocks on a farm in Piatt County, Ill. (Photo Credit: Dan Schaefer)