Biome-BGC is an effective model for simulating daily-scale carbon, water, and nitrogen fluxes using site description data, meteorological data, and vegetation physiological and ecological parameters. The spatial scale of its research can be extended from the point scale to terrestrial ecosystems.
In the Biome-BGC model, for carbon biomass accumulation, the photosynthetic enzymatic reaction mechanism model is used to calculate the daily primary productivity (GPP), and the products after subtracting growth respiration and maintenance respiration are distributed to leaves, branches, trunk and root. The carbon of organisms enters the litter carbon pool in the form of litter at a certain rate every day; for the water transport process, the water cycle process simulated by the model includes rainfall, snowfall, canopy interception, penetrating precipitation, trunk runoff, and canopy evaporation , snowmelt, snow sublimation, canopy transpiration, soil evaporation, evapotranspiration, surface runoff and soil moisture changes, and water utilization by plants; for soil processes, the model considers the process of litter decomposition into soil organic carbon pool, soil organic matter mineralization process and water transport relationship between soil layers based on the barrel model; for energy balance, the model also considers processes such as net radiation, sensible heat flux, and latent heat flux.
In the course, it will be taught to use the China Regional Surface Meteorological Elements Driven Dataset (CMFD) and CN05.1 climate data gridded meteorological data to drive Biome-BGC to perform regional simulations. During the simulation process, it is necessary to comprehensively use some small tools such as Linux and Python to complete the pre-processing and post-processing of the model.
