U.S. Department of Energy Office of Biological and Environmental Research

BER Research Highlights


New Understanding of Microbial Community Processes Improves Carbon Cycle Models
Published: July 28, 2013
Posted: September 12, 2013

Current Earth system models (ESMs) draw on soil carbon cycle models that use relatively simple representations of the biogeochemical processes performed by microbial communities. Now, investigators at the University of California, Irvine, have developed a new module for the Community Land Model (CLM) that attempts to more accurately represent the distribution of soil microbial communities and their functional processes related to carbon degradation. Projections of climate change impacts on soil carbon stocks using this module showed improved agreement with results observed during experimental studies. Developing improved models of microbial processes will generate more accurate projections of soil carbon feedbacks on climate change and reduce a source of uncertainty in current ESMs.

Reference: W. R.Wieder, G. B. Bonan, and S. D. Allison. 2013. “Global Soil Carbon Projections Are Improved by Modeling Microbial Processes,” Nature Climate Change. DOI: 10.1038/NCLIMATE1951. (Reference link)

Contact: Joseph Graber, SC-23.2, (301) 903-1239
Topic Areas:

  • Research Area: Earth and Environmental Systems Modeling
  • Research Area: Carbon Cycle, Nutrient Cycling
  • Research Area: Microbes and Communities

Division: SC-23.2 Biological Systems Science Division, BER

 

BER supports basic research and scientific user facilities to advance DOE missions in energy and environment. More about BER

Recent Highlights

May 10, 2019
Quantifying Decision Uncertainty in Water Management via a Coupled Agent-Based Model
Considering risk perception can improve the representation of human decision-making processes in age [more...]

May 09, 2019
Projecting Global Urban Area Growth Through 2100 Based on Historical Time Series Data and Future Scenarios
Study provides country-specific urban area growth models and the first dataset on country-level urba [more...]

May 05, 2019
Calibrating Building Energy Demand Models to Refine Long-Term Energy Planning
A new, flexible calibration approach improved model accuracy in capturing year-to-year changes in bu [more...]

May 03, 2019
Calibration and Uncertainty Analysis of Demeter for Better Downscaling of Global Land Use and Land Cover Projections
Researchers improved the Demeter model’s performance by calibrating key parameters and establi [more...]

Apr 22, 2019
Representation of U.S. Warm Temperature Extremes in Global Climate Model Ensembles
Representation of warm temperature events varies considerably among global climate models, which has [more...]

List all highlights (possible long download time)