In this chapter, we examine the effects of site-specific environmental conditions and management activities on water, carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) fluxes of Hungarian grasslands using two process-based ecosystem models. Biome-BGC is used to simulate the CO2 budget, while DNDC is applied to simulate the CH4 and N2O budgets. Biome-BGC was originally developed to simulate the biogeochemical cycles of natural biomes; therefore,-extension of the model source code was needed to simulate management practices. Besides implementing management modules, the soil water and phenology submodels of Biome-BGC were developed. After the development and extension, the model was calibrated using a Bayesian approach by a novel iterative calibration method. DNDC model consists of two components: the first predicts soil temperature, moisture, alkalinity (pH), soil redox potential, and substrate concentration profiles based on ecological drivers; the other component calculates ammonia, nitrogen monoxide, nitrous oxide, and methane fluxes based on soil environmental conditions. DNDC handles several types of management activities. The simulation results of the models were validated using measured carbon dioxide and latent heat flux data from three Hungarian measurement sites, and also using N 2O and CH4 fluxes measured over Hungarian grasslands. The calibrated Biome-BGC model was used to simulate the long-term effect of different management practices.
|Title of host publication||Atmospheric Greenhouse Gases|
|Subtitle of host publication||The Hungarian Perspective|
|Number of pages||23|
|Publication status||Published - dec. 1 2011|
ASJC Scopus subject areas
- Environmental Science(all)
- Earth and Planetary Sciences(all)