2018 ESA Annual Meeting (August 5 -- 10)

INS 31-7 - Predictive uncertainties in soil organic carbon decomposition modeling

Friday, August 10, 2018
243, New Orleans Ernest N. Morial Convention Center
Chaoqun Lu1, Zhen Yu2, Jien Zhang2, Hanqin Tian3, Deborah Huntzinger4, Christopher Schwalm4 and Anna M. Michalak5, (1)Ecology, Evolution & Organismal Biology, Iowa State University, Ames, IA, (2)Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA, (3)International Center for Climate and Global Change Research and School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL, (4)School of Earth Sciences & Environmental Sustainability, Northern Arizona University, Flagstaff, AZ, (5)Department of Global Ecology, Carnegie Institution for Science, Stanford, CA
Soil is the largest terrestrial carbon pool, in which a minor change of carbon fluxes is likely to drastically alter global carbon cycle. Decomposition of soil organic carbon (SOC), releasing CO2 to the atmosphere, is among the most uncertain components in global carbon budget estimation. To better quantify the turnover rate and stability of soil carbon pools across the planet requires a thorough understanding of current predictive capability. By synthesizing terrestrial biosphere model ensembles from the MsTMIP and field observations, we examined modeled sensitivity of SOC decomposition to major environmental forcings, and quantified possible reasons contributing to wide model spread.