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Model Characteristics

Id 16
Last update 2006-06-16
Name Biomass PPM gal
Year 2005
Author Balboa et al.
Email Contact
Organisation Universidad de Santiago de Compostela
Country Spain
Category Biomass
Model type Tree
Level Tree
Time step
Time scale
Range of applicabiilty (region, ...) Galicia, Spain
Stand composition
Forest structure
Species Pinus pinaster
Sylvicultural system
Tree range
Stand range
State variables - Growth
State variables - Initialization
State variables - Prediction
State variables - Stochastic for
Distribution diameter variables - growth
Distribution diameter variables - initialization
Distribution diameter variables - prediction
Distribution diameter variables - stochasticity for
Tree variables - growth
Tree variables - Initialisation
Tree variables - prediction
Tree variables - stochasticity for
Growth processes
Regeneration processes at stand level
Regeneration processes at sapling level
Submodule : Sylvicultural practicies
Submodel : Climate parameters
Input state variables DBH; Total Height
Human inputs
Climate inputs
Output state variable Branches mass; Cork mass; Leaves mass; Wood mass
Quantity products
Quality pulp
Quality construction
Quality cork
Simulator name
Stand Simulator version
Stand Simulator hardware
Stand Simulator memory
Stand Simulator OS
Stand Simulator language
Stand Simulator characteristics
Stand Simulator indicators
Stand Simulator visualization
Landscape Simulator name
Landscape Simulator version
Landscape Simulator hardware
Landscape Simulator memory
Landscape Simulator OS
Landscape Simulator language
Landscape Simulator characteristics
Landscape Simulator indicators
Landscape Simulator visualization
Bibliography Balboa, M.A.; 2005. Biomasa arbórea y estabilidad nutricional de los sistemas forestales de Pinus pinaster Ait., Eucalyptus globulus Labill. y Quercus robur L. en Galicia. Doctoral Thesis. Univesidad de Santiago de Compostela. 244 pp.

Pinus pinaster

Componentes Biomass equations R2adj Weighting factor RMSE
Wood 0.97 51.22
Cork - - -
Big Branches 0.81 13.85
Small branches 0.83 4.74
Very Small branches 0.68 1.42
Leaves - - -
Context FORSEE