BIOME-BGC estimates fluxes and storage of energy, water, carbon, and nitrogen for the vegetation and soil components of terrestrial ecosystems.
Model algorithms represent physical and biological processes that control fluxes of energy and mass:
• New leaf growth and old leaf litterfall • Sunlight interception by leaves, and penetration to the ground • Precipitation routing to leaves and soil • Snow (SWE) accumulation and melting • Drainage and runoff of soil water • Evaporation of water from soil and wet leaves • Transpiration of soil water through leaf stomata • Photosynthetic fixation of carbon from CO2 in the air • N uptake from the soil • Distribution of C and N to growing plant parts • Decomposition of fresh plant litter and old soil organic matter • Plant mortality• Plant phenology • Fire/disturbance
The model uses a daily time-step with daily updating of vegetation, litter, and soil components.
The BIOME-BGC Terrestrial Ecosystem Process Model
• Daily time step (day/night partitioning based on daily information);
• Single, uniform soil layer hydrology (bucket model);
• 1 uniform snow layer of SWE (no canopy snow interception/losses);
• 1 canopy layer (sunlit/shaded leaf partitioning);
• Dynamic phenology and C/N allocation (e.g. LAI, biomass, soil and litter)
• Disturbance (fire) and mortality functions
• Variable litter and soil C decomposition rates (3 litter and 4 soil C pools)
Major Features:
BIOME-BGC
BIOME-BGC Eco-physiological Parameters
Biome-BGC uses a list of 43 parameters to differentiate biomes. These parameters define the general ecophysiological characteristics of the dominant vegetation type and must be specified prior to each model simulation. These parameters can be measured in the field, obtained from the literature or derived from other measurements.
Default Biome types with defined parameters
•Deciduous Broadleaf Forest (temperate)
•Deciduous Needleleaf forest (larch)
•Evergreen Broadleaf Forest (subtropical/tropical)
•Evergreen Needleleaf Forest
•C3 Grassland
•C4 Grassland
•Evergreen Shrubland
Biome-BGC Default Eco-physiological Parameters:
Evergreen Needle-leaf Forest
value units description 1 (flag) 1 = WOODY 0 = NON-WOODY 1 (flag) 1 = EVERGREEN 0 = DECIDUOUS 1 (flag) 1 = C3 PSN 0 = C4 PSN 1 (flag) 1 = MODEL PHENOLOGY 0 = USER-SPECIFIED --- (yday) yearday to start new growth (when phenology flag = 0) --- (yday) yearday to end litterfall (when phenology flag = 0) 0.2 (prop.) transfer growth period as fraction of growing season 0.2 (prop.) litterfall as fraction of growing season 0.26 (1/yr) annual leaf and fine root turnover fraction 0.7 (1/yr) annual live wood turnover fraction 0.005 (1/yr) annual whole-plant mortality fraction 0.005 (1/yr) annual fire mortality fraction 1.4 (ratio) (ALLOCATION) new fine root C : new leaf C 2.2 (ratio) (ALLOCATION) new stem C : new leaf C 0.071 (ratio) (ALLOCATION) new live wood C : new total wood C 0.29 (ratio) (ALLOCATION) new croot C : new stem C 0.5 (prop.) (ALLOCATION) current growth proportion 42.0 (kgC/kgN) C:N of leaves 93.0 (kgC/kgN) C:N of leaf litter, after retranslocation 58.0 (kgC/kgN) C:N of fine roots 50.0 (kgC/kgN) C:N of live wood 730.0 (kgC/kgN) C:N of dead wood 0.31 (DIM) leaf litter labile proportion 0.45 (DIM) leaf litter cellulose proportion 0.24 (DIM) leaf litter lignin proportion 0.34 (DIM) fine root labile proportion 0.44 (DIM) fine root cellulose proportion 0.22 (DIM) fine root lignin proportion 0.71 (DIM) dead wood cellulose proportion 0.29 (DIM) dead wood lignin proportion 0.01 (1/LAI/d) canopy water interception coefficient 0.51 (DIM) canopy light extinction coefficient 2.6 (DIM) all-sided to projected leaf area ratio 8.2 (m2/kgC) canopy average specific leaf area (projected area basis) 2.0 (DIM) ratio of shaded SLA to sunlit SLA 0.033 (DIM) fraction of leaf N in Rubisco 0.004 (m/s) maximum stomatal conductance (projected area basis)
0.00004(m/s) cuticular conductance (projected area basis)
BIOME-BGC Environmental Controls on Canopy Conductance (Walker Branch Site)
M_total,sun,shade = (MPPFD,sun,shade * MTmin * MVPD * MPSI)
where multipliers range from 0 (full Gs reduction) to 1 (no effect)
Gs, sun,shade = Gs,max * M_total, sun,shade
M_PSI
0
0.2
0.4
0.6
0.8
1
-0.5 -0.7 -0.8 -1 -1.1 -1.3 -1.4 -1.6 -1.7 -1.9 -2 -2.2 -2.3
PSI (MPa)
M_TMIN
0
0.2
0.4
0.6
0.8
1
-10 -9 -8 -7 -6 -5 -4 -3 -2 -1 0 1
TMIN (degC)
M_VPD
0
0.2
0.4
0.6
0.8
1
900 1200 15001800 2100 24002700 3000 33003600 39004200
VPD (Pa)
M_PPFD
0
0.2
0.4
0.6
0.8
1
0 150 300 450 600 750 900 10501200135015001650
PPFD (umol/m2/s)
MET_INPUT (keyword) start of meteorology file control block metdata/TDE.mtc41 meteorology input filename 4 (int) header lines in met file RESTART (keyword) start of restart control block 1 (flag) 1 = read restart file 0 = don't read restart file 0 (flag) 1 = write restart file 0 = don't write restart file 0 (flag) 1 = use restart metyear 0 = reset metyear restart/TDE_n.endpoint input restart filename restart/TDE.endpoint output restart filename TIME_DEFINE (keyword - do not remove) 8 (int) number of meteorological data years 8 (int) number of simulation years 1993 (int) first simulation year 0 (flag) 1 = spinup simulation 0 = normal simulation 6000 (int) maximum number of spinup years (if spinup simulation) CLIM_CHANGE (keyword - do not remove) 0.0 (deg C) offset for Tmax 0.0 (deg C) offset for Tmin 1.0 (DIM) multiplier for Prcp 1.0 (DIM) multiplier for VPD 1.0 (DIM) multiplier for shortwave radiation CO2_CONTROL (keyword - do not remove) 1 (flag) 0=constant 1=vary with file 2=constant, file for Ndep 356.0 (ppm) constant atmospheric CO2 concentration TDE_co2.txt (file) annual variable CO2 filename SITE (keyword) start of site physical constants block 0.765 (m) effective soil depth (corrected for rock fraction) 28.0 (%) sand percentage by volume in rock-free soil 64.0 (%) silt percentage by volume in rock-free soil 8.0 (%) clay percentage by volume in rock-free soil 290.0 (m) site elevation 35.95 (degrees) site latitude (- for S.Hem.) 0.2 (DIM) site shortwave albedo 0.0005 (kgN/m2/yr) wet+dry atmospheric deposition of N 0.0004 (kgN/m2/yr) symbiotic+asymbiotic fixation of N
BIOME-BGCExample Initialization File
RAMP_NDEP (keyword - do not remove) 0 (flag) do a ramped N-deposition run? 0=no, 1=yes 2099 (int) reference year for industrial N deposition 0.0001 (kgN/m2/yr) industrial N deposition value EPC_FILE (keyword - do not remove) dbf.epc (file) TDE DBF ecophysiological constants W_STATE (keyword) start of water state variable initialization block 0.0 (kg/m2) water stored in snowpack 0.5 (DIM) initial soil water as a proportion of saturation C_STATE (keyword) start of carbon state variable initialization block 0.001 (kgC/m2) first-year maximum leaf carbon 0.0 (kgC/m2) first-year maximum stem carbon 0.0 (kgC/m2) coarse woody debris carbon 0.0 (kgC/m2) litter carbon, labile pool 0.0 (kgC/m2) litter carbon, unshielded cellulose pool 0.0 (kgC/m2) litter carbon, shielded cellulose pool 0.0 (kgC/m2) litter carbon, lignin pool 0.0 (kgC/m2) soil carbon, fast microbial recycling pool 0.0 (kgC/m2) soil carbon, medium microbial recycling pool 0.0 (kgC/m2) soil carbon, slow microbial recycling pool 0.0 (kgC/m2) soil carbon, recalcitrant SOM (slowest) N_STATE (keyword) start of nitrogen state variable initialization block 0.0 (kgN/m2) litter nitrogen, labile pool 0.0 (kgN/m2) soil nitrogen, mineral pool OUTPUT_CONTROL (keyword - do not remove) outputs/TDE_out (text) prefix for output files 1 (flag) 1 = write daily output 0 = no daily output 0 (flag) 1 = monthly avg of daily variables 0 = no monthly avg 0 (flag) 1 = annual avg of daily variables 0 = no annual avg 1 (flag) 1 = write annual output 0 = no annual output 1 (flag) for on-screen progress indicator DAILY_OUTPUT (keyword) 3 (int) number of daily variables to output 516 0 epv.vwc (%) 43 1 wf.soilw_trans (kg m^-2) 38 2 wf.canopyw_evap (kg m^-2) ANNUAL_OUTPUT (keyword) 2 (int) number of annual output variables 545 0 annual maximum projected LAI 636 1 vegetation C END_INIT (keyword) indicates the end of the initialization file
BIOME-BGCExample Initialization File
Cont.
-5
-4.5
-4
-3.5
-3
-2.5
-2
-1.5
-1
-0.5
0
0 10 20 30 40 50
soilw
PS
I
-5
-4.5
-4
-3.5
-3
-2.5
-2
-1.5
-1
-0.5
0
0 10 20 30 40 50
soilw
PS
I
-5
-4.5
-4
-3.5
-3
-2.5
-2
-1.5
-1
-0.5
0
0 10 20 30 40 50
soilw
PS
I
(%)
(MP
a)
Soil Class Silt loam Silt Loamβ-value -4.625 -3.84 -5.275VWC_sat 0.48 0.48 0.41PSI_sat -0.0073 -0.0078 -0.0013
BIOME-BGC 1Soil Water – Soil Water Potential Curves
1after Cosby et al., 1984
MODIS LAI vs BIOME BGC LAI Walker Branch, TN 2001 (Mixed Deciduous Hardwood Forest)
0
1
2
3
4
5
6
7
1 31 61 91 121 151 181 211 241 271 301 331 361
DOY
LA
I (m
2/m
2)
MODIS LAI BGC Proj LAI
0
0.5
1
1.5
2
2.5
3
3.5
Date
mm
d-1
BIOME-BGC Tower Flux
0
0.5
1
1.5
2
2.5
3
3.5
4
Date
mm
d-1
Tower Flux BIOME-BGC
-0.004
-0.003
-0.002
-0.001
0
0.001
0.002
0.003
0.004
Jan-94
Mar-94
May-94
Jul-94
Sep-94
Nov-94
Jan-95
Mar-95
May-95
Jul-95
Sep-95
Nov-95
Jan-96
Mar-96
May-96
Jul-96
Sep-96
Nov-96
Date
kg C
m-2
d-1
BIOME-BGC Tower Flux
-0.01
-0.005
0
0.005
0.01
Jan-94
Mar-94
May-94
Jul-94
Sep-94
Nov-94
Jan-95
Mar-95
May-95
Jul-95
Sep-95
Nov-95
Jan-96
Mar-96
May-96
Jul-96
Sep-96
Nov-96
Date
Kg
C m
-2 d
-1
BIOME-BGC Tower Flux
Mature Black Spruce Stand (NSA-OBS Ameriflux site) Mature Aspen Stand (SSA-OA BERMS site)
Verification of BIOME-BGC Daily and Seasonal Dynamics: Comparisons with Tower Eddy-flux Measurements
NEPNEP
ET ET
Kimball et al., 1997a,b
LANDCOVER
GIS Input Layers
Measurements
Modeling
Regional Extrapolation through remote sensing, field measurements and ecological models (BOREAS SSA)
NPP ( Mg C ha-1)
Water0.2
3.0
0
4000
8000
12000
16000
5000 5100 5200 5300 5400
0
4000
8000
12000
16000
5000 5100 5200 5300 5400
0
4000
8000
12000
16000
5000 5100 5200 5300 54000.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0
14.4
10.8
7.2
3.6
0.0
Are
a (k
m2 )
1994 (mean = 2.2) 1995 (mean = 1.8) 1996 (mean = 1.7)
NPP Distributions (Mg C ha -1 yr-1)
Kimball et al., 00.
0
4000
8000
12000
16000
5000 5100 5200 5300 5400
0
4000
8000
12000
16000
5000 5100 5200 5300 5400
0
4000
8000
12000
16000
5000 5100 5200 5300 54000.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0
14.4
10.8
7.2
3.6
0.0
14.4
10.8
7.2
3.6
0.0
Are
a (k
m2 )
1994 (mean = 2.2) 1995 (mean = 1.8) 1996 (mean = 1.7)
NPP Distributions (Mg C ha -1 yr-1)
Kimball et al., 00.
Kimball et al., 2000
MODEL LOGIC:Thornton, P. E. (1998). Description of a numerical simulation model for predicting the dynamics of energy, water, carbon, and nitrogen in a terrestrial ecosystem. Ph.D. dissertation, University of Montana, Missoula, MT, 280pp. [Available from Mansfield Library, University of Montana, Missoula, MT 59812].
Thornton, P. E., B. E. Law, et al. (2002) Modeling the effects of disturbance history and climate on carbon and water budgets in evergreen needleleaf forests. Agricultural and Forest Meteorology (in press).
BIOME ECOPHYSIOLOGICAL PARAMETERIZATION:White, M. A., P. E. Thornton, and S. W. Running (2000). Parameterization and sensitivity analysis of the BIOME-BGC terrestrial ecosystem model: Net primary production controls. Earth Interactions 4(3): 1-85.
PHENOLOGY:White, M.A., P.E. Thornton, and S.W. Running (1997). A continental phenology model for monitoring vegetation responses to inter-annual climatic variability. Global Biogeochemical Cycles 11(2): 217-234 [Available online at NTSG website].
Documentation of BIOME-BGC Updates