1. General Model Information
Name: FIRE-BGC - FIRE BioGeoChemical process model.
Main medium: terrestrial
Main subject: biogeochemistry, forestry
Organization level: landscape
Type of model: not specified
Main application: research
Keywords: vegetation dynamics, bushfire, fire, forest, Loki simulation architecture, gap model
Mr. R. Keane.
United States Department of Agriculture, Forest Service, Intermountain Fire Sciences Lab, P.O.Box 8089, Missoula, MT 59807 UNITED STATES.
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.
Purpose of the model:
Model parentage: FIRE-BGC is the union of the process-based, gap-replacement model FIRESUM and the mechanistic biogeochemical simulation model FOREST-BGC. It is implemented in the Loki simulation architecture.
Source of the Abstract CAMASE Register of Agro-ecosystems Models
II. Technical Information
Operating System(s): The program was implemented on a SUN Sparc Model 10 workstation. UNIX. Contract necessary: Costs: : None. Comments:
Programming Language(s): FIRE-BGC was written in the C programming language using a modular approach where each organizational level implemented in the model was developed in separate components.
III. Mathematical Information
Rate variables: Driving variables include weather (precipitation, temperature, humidity, radiation), fire (intensity, severity, rate), insects and disease (infections, infestations), and tree growth, death and regeneration (diameter and height increments, carbon balances, cone crops).
State variables: FIRE-BGC state variables represent carbon and nitrogen pools for trees, undergrowth, woody fuels, litter and duff; and structural characteristics of trees, stand and landscape.
Input variables include an ecophysiological description of tree species (maximal stomatal conductance, etc); initial state and driving variable values, structural and physical description of fuels and undergrowth; and biophysical description of landscape. Input check in model: Yes.
Spatial data layers and data files of ecosystem processes (e.g. net primary productivity, evapotranspiration). Stand tables, species cover maps, daily and yearly estimates of all state and driving variables.
Basic spatial unit: The basic spatial unit is the landscape which is divided into sites that are again divided into stands.
Time interval of simulation: FIRE-BGC explicitly simulates two timesteps: daily and yearly. Decadal and century timesteps are indirectly accounted for in the FIRE-BGC application.
Bevins, C.D., P.L. Andrews & R.E. Keane, 1995. Forest succession modelling using the Loki software architecture. Lesnictvi-Forestry 41(4): 158-162
Keane, R.E., P. Morgan & S.W. Running, 1995. FIRE-BGC: A mechanistic ecological process model for simulating fire succession on coniferous forest landscapes. INT Research Paper. (In Press). 231 pp.
Keane, R.E., K. Ryan & S.W. Running, 1995. Simulating the effects of fire and climate change on northern Rocky Mountain landscapes using the ecological process model FIRE-BGC. USDA Forest Service General Technical Report RM-262. 39-47
Keane, R.E., K. Ryan & S.W. Running, 1995. Simulating the effect of fires on northern Rocky Mountain landscapes using the ecological process model FIRE-BGC. Tree Physiology (In Press).
V. Further information in the World-Wide-Web
VI. Additional remarks
Parentage: FIRE-BGC is the union of the process-based, gap-replacement model FIRESUM and the mechanistic biogeochemical simulation model FOREST-BGC. It is implemented in the Loki simulation architecture.
Last review of this document by: T. Gabele: Tue Sep 24 1997
Status of the document:
last modified by
Joachim Benz Mon Jul 2 18:31:37 CEST 2007