Forest Growth Models


FIRE BioGeoChemical process model

FIRE-BGC is a mechanistic vegetation dynamics model developed to investigate the role of fire and climate on long-term landscape dynamics in northern Rocky Mountain coniferous forests. FIRE-BGC is a highly complex, individual tree model created by merging the gap-phase, process-based model FIRESUM with the mechanistic ecosystem biogeochemical model FIRE-BGC. It has mixed spatial and temporal resolution in the simulation architecture. Ecological processes that act at a landscape level, such as fire and seed dispersal, are simulated annually from stand and topographic information contained in spatial data layers. Stand-level processes such as tree establishment, growth, and mortality; organic matter accumulation and decomposition; and undergrowth plant dynamics are simulated both daily and annually on a simulation plot that represents the stand. Daily climate is strongly linked to FIRE-BGC algorithms. FIRE-BGC also explicitly simulates fire behaviour and effects on landscape characteristics and processes. [source website]