Impact model: PREBAS

PREBAS is a forest model system developed at the University of Helsinki, with the objective of making future projections of a given forest stand with known initial state under alternative management options. Currently, it consists of three modules, PRELES, CROBAS and YASSO07. In order to allow for applications over large geographical areas accounting for observed forest properties and management options, the models were constructed to be as simple as possible in structure, yet based on biologically sound assumptions. The models are based on carbon fluxes and stocks between the atmosphere and the forest ecosystem. The system is modular, such that modules can be used either independently or linked, where the carbon fluxes determine the linkages. PRELES (Peltoniemi et al. 2015, Minunno et al. 2016) estimates canopy photosynthesis and evapotranspiration from daily environmental drivers and stand properties. CROBAS (Mäkelä 1997, Valentine and Mäkelä 2005) is a stand growth model based on carbon acquisition and allocation in trees. The models have been further combined with the Finnish soil carbon model YASSO07 (Tuomi et al. 2009). All modules have been independently tested and calibrated against data from eddy flux stations, forest experiments and inventories, and soil processes.

Sector
Forests
Region
regional
Contact Person

Information for the model PREBAS is provided for the simulation rounds shown in the tabs below. Click on the appropriate tab to get the information for the simulation round you are interested in.

Basic information
Model Version: 1
Reference Paper: Main Reference: Minunno F, Peltoniemi M, Launiainen S, Aurela M, Mammarella I, Lindroth A, Lohela A, Minkkinen K, Mäkelä A et al. A 2016. Calibration and validation of a semi-empirical flux ecosystem model for coniferous forests in the Boreal region. . Ecological Modelling ,341,37-52,2016
Reference Paper: Other References:
Person Responsible For Model Simulations In This Simulation Round: Francesco Minunno
Output Data
Experiments: I, Ia, II, IIa, IIb, IIc, III, IIIa, IIIb
Climate Drivers: IPSL-CM5A-LR, GFDL-ESM2M, EWEMBI, MIROC5
Date: 2018-08-06
Spin-up
Was A Spin-Up Performed?: No
Management & Adaptation Measures
Management: Forest management was applied
Key model processes
Dynamic Vegetation: no
Nitrogen Limitation: no
Co2 Effects: yes
Light Interception: yes
Light Utilization: yes
Phenology: yes
Water Stress: yes
Heat Stress: yes
Evapo-Transpiration Approach: yes, semi-empirical
Differences In Rooting Depth: yes
Root Distribution Over Depth: no
Closed Energy Balance: no
Coupling/Feedback Between Soil Moisture And Surface Temperature: no
Latent Heat: no
Sensible Heat: no
Causes of mortality in vegetation models
Age: no
Fire: no
Drought: no
Insects: no
Storm: no
Stochastic Random Disturbance: no
Other: competition
NBP components
Fire: no
Land-Use Change: no
Harvest: yes
Basic information
Model Version: 1
Reference Paper: Main Reference: Minunno F, Peltoniemi M, Launiainen S, Aurela M, Mammarella I, Lindroth A, Lohela A, Minkkinen K, Mäkelä A et al. A 2016. Calibration and validation of a semi-empirical flux ecosystem model for coniferous forests in the Boreal region. . Ecological Modelling ,341,37-52,2016
Reference Paper: Other References:
  • Valentine H, Mäkelä A et al. Bridging process-based and empirical approaches to modeling tree growth. Tree Physiology,25,769-779,2005
Person Responsible For Model Simulations In This Simulation Round: Francesco Minunno
Output Data
Experiments: historical (Hyytiälä, Peitz, Solling beech, Solling spruce, Sorø, KROOF, Le Bray, Collelongo, Bily Kriz)
Climate Drivers: GSWP3, Historical observed climate data, PGMFD v.2 (Princeton), WATCH (WFD), WATCH+WFDEI
Date: 2018-07-26
Spin-up
Was A Spin-Up Performed?: No
Management & Adaptation Measures
Management: Forest management was applied
Key model processes
Dynamic Vegetation: no
Nitrogen Limitation: no
Co2 Effects: yes
Light Interception: yes
Light Utilization: yes
Phenology: yes
Water Stress: yes
Heat Stress: yes
Evapo-Transpiration Approach: yes, semi-empirical
Differences In Rooting Depth: yes
Root Distribution Over Depth: no
Closed Energy Balance: no
Coupling/Feedback Between Soil Moisture And Surface Temperature: no
Latent Heat: no
Sensible Heat: no
Causes of mortality in vegetation models
Age: no
Fire: no
Drought: no
Insects: no
Storm: no
Stochastic Random Disturbance: no
Other: competition
NBP components
Fire: no
Land-Use Change: no
Harvest: yes