Скачать или смотреть Melannie Hartman and Bill Parton, CSU, present on SOM dynamics in the DayCent model vs MEMS-2.0

Melannie Hartman and William Parton of the NREL (Natural Resource Ecology Lab at Colorado State University), gave the presentation, “Adding 21st Century SOM and Microbial Dynamics to the DayCent model: Model testing and comparison with MEMS-2.0”
This seminar was given as part of Ecosystem Science and Sustainability and Forest and Rangeland Stewardship's joint Spring Seminar series and graduate student course.
The DayCent ecosystem model has been revised to incorporate live microbial dynamics with concepts borrowed from the CORPSE microbe growth soil organic carbon cycling model. 21st Century soil organic matter (SOM) dynamics from the MEMS-2.0 model were also represented in the parameterization of DayCent. DayCent’s recent advances in SOM modeling, along with the development of a new plant functional type for large bioenergy grasses for the model, were supported by the Center for Advanced Bioenergy & Bioproducts Innovation (CABBI) at the University of Illinois. The updated model, named DayCent-CABBI, was set up to simulate daily net ecosystem production (NEP), ecosystem respiration (ER) and gross photosynthesis (GPP) for miscanthus at the Energy Farm at the University of Illinois where 10 years of daily eddy covariance flux tower data were available. Simulated fluxes from running DayCent-CABBI, first with the new microbial growth dynamics and then with the model’s traditional 1st order SOM cycling methods, were compared to the measured fluxes. The microbial explicit model improved the simulation of winter (November to April) daily ER and NEP relative to the 1st order model. Model results (GPP, RESP and NEP) were similar for both models during the summer months. DayCent-CABBI also correctly simulated seasonal dynamics of live microbial biomass. Additionally, recent Century model results from a unique study in Uruguay show the impact of the environment on microbial dynamics. In this study live microbe biomass, soil carbon level, N mineralization, and soil respiration had a strong positive correlation to plant carbon inputs (primary factor controlling microbial biomass level).