Impact model: BASFOR

BASFOR is a BASic FORest model, with simple representation of forest biogeochemistry. Despite this, the aim is wide model applicability by simulating the impacts of a range of environmental drivers. BASFOR simulates soil-plant-atmosphere processes of deciduous and coniferous forest stands. Interactions with the atmospheric and soil environment are simulated in some detail, as are the impacts of management: thinning and pruning. Three biogeochemical cycles are simulated: carbon, nitrogen and water. BASFOR is a one-dimensional model, so no horizontal heterogeneity of the forest is captured. BASFOR does not simulate wood quality or pests and diseases. BASFOR has 17 state variables. Nine of those variables quantify the state of the trees and eight variables represent the soil. The tree variables are tree density, carbon pools (stems, branches, leaves, roots, reserves), foliar nitrogen and phenological state (accumulated chill days, thermal time). The soil variables are carbon and nitrogen in litter and two classes of organic matter, mineral N, water. Inputs to the model include atmospheric CO2 concentration and time series of radiation, air temperature, precipitation, wind speed, humidity. Also required is a calendar indicating days at which the stand is thinned or pruned. Outputs from the model include, in the default set-up, 36 different output variables: the 17 state variables plus biogeochemical fluxes (including those of greenhouse gases to and from trees and soil) and forest productivity variables (stem diameter, volume, height). This selection of output variables can be altered by the model user.

Contact Person

Information for the model BASFOR 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
Person Responsible For Model Simulations In This Simulation Round: David Cameron
Output Data
Experiments: I, Ia, II, IIa, IIb, IIc, III, IIIa, IIIb
Date: 2018-08-06
Spatial Aggregation: forest stand
Temporal Resolution Of Input Data: Climate Variables: daily
Temporal Resolution Of Input Data: Co2: annual
Temporal Resolution Of Input Data: Soil: constant
Was A Spin-Up Performed?: Yes
Spin-Up Design: The model was run from planting year for each site using the information provided in the PROFOUND database.
Management & Adaptation Measures
Management: Management was as prescribed in the forest section of the protocol. For years before stand density data was available the forests at each site were thinned at regular intervals from planting density until achieving the density found in the profound database. For precise details please refer to the code at
Key model processes
Nitrogen Limitation: Yes. Potential growth without N limitation is first estimated. Then using an N/C ratio the N demand required to achieve that growth is found. The ratio of available N supply over N demand is calculated and used to limit growth.
Causes of mortality in vegetation models
Age: No.
Fire: No.
Drought: Yes. There is implicit drought stress which can limit primary productivity. With sufficient stress growth is less senescence and the trees start to die back.
Insects: No.
Storm: No.
Stochastic Random Disturbance: No.
NBP components
Fire: No.
Land-Use Change: No.
Harvest: Yes. Tree stems are removed. Branches and leaves are added to the litter pool. Roots are added to the fast soil organic matter pool.
Species / Plant Functional Types (PFTs)
List Of Species / Pfts: Pinus sylvestris (pisy), Fagus sylvatica (fasy), Picea abies (piab)
Additional Forest Information
Forest sites simulated: Peitz, Soro, Hyytiala, Solling (Beech) and Solling (Spruce)
Basic information
Person Responsible For Model Simulations In This Simulation Round: David Cameron
Output Data
Experiments: historical (Hyytiälä, Peitz, Solling beech, Solling spruce, Sorø)
Climate Drivers: GSWP3, Historical observed climate data, PGMFD v.2 (Princeton), WATCH (WFD), WATCH+WFDEI
Date: 2018-07-17