Impact model: ForClim

ForClim is a climate-sensitive forest succession (“gap”) model, developed to simulate forest stand dynamics over a wide range of environmental conditions.

Sector
Forests
Region
local
Contact Person

Information for the model ForClim 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
Reference Paper: Main Reference: Bugmann H et al. A Simplified Forest Model to Study Species Composition Along Climate Gradients. Ecology,77,2055-2074,
Output Data
Experiments: I, Ia, II, IIb, III, IIIb
Climate Drivers: IPSL-CM5A-LR, HadGEM2-ES, GFDL-ESM2M, EWEMBI, MIROC5
Date: 2018-08-06
Resolution
Spatial Aggregation: forest stand
Temporal Resolution Of Input Data: Climate Variables: monthly
Temporal Resolution Of Input Data: Soil: constant
Basic information
Reference Paper: Main Reference: Bugmann H et al. A Simplified Forest Model to Study Species Composition Along Climate Gradients. Ecology,77,2055-2074,2006
Person Responsible For Model Simulations In This Simulation Round: harald.bugmann@env.ethz.ch
Output Data
Experiments: historical (Hyytiälä, Peitz, Solling beech, Sorø, KROOF, Bily Kriz)
Climate Drivers: GSWP3, Historical observed climate data, PGMFD v.2 (Princeton), WATCH (WFD), WATCH+WFDEI
Date: 2018-07-26
Resolution
Spatial Aggregation: forest stand
Spatial Resolution: 800 m2
Additional Spatial Aggregation & Resolution Information: Results are given at an annual resolution and represent average forest structure across of the entire forest (i.e. all simulation patches).
Temporal Resolution Of Input Data: Climate Variables: monthly
Temporal Resolution Of Input Data: Soil: constant
Key model processes
dynamic vegetation: Yes, forest dynamics emerge from interactions between individual tree cohorts. Establishment, growth and mortality are simulated explicitly and are influenced by environmental conditions (availability of light, water, nutrients).
nitrogen limitation: Yes, nitrogen limitation is considered via a growth-reduction factor (i.e. nitrogen limitation decreases tree growth, depending on species-specific nitrogen demand).
CO2 effects: No
light interception: Yes, light interception through the canopy is simulated via the Beer-Lambert law.
light utilization: No, photosynthesis is not simulated explicitly
water stress: Yes, water stress is represented via a drought-index (depending on site-specific soil water holding capacity, precipitation and topography).
heat stress: No
Evapo-transpiration approach: Thornthwaite and Mather (1957)
Differences in rooting depth: No
Carbon allocation: Tree growth is simulated for each cohort using the carbon budget model by Moore (1989) modified according to the constraints by soil moisture, degree-day sum, nitrogen availability, light availability, and crown length
Regeneration/planting: Yes, both natural regeneration and planting can be represented
Soil water balance: Yes, a site-specific water balance is calculated (see Bugmann and Cramer, 1998, Forest Ecology and Management 103)
Causes of mortality in vegetation models
Age/Senescence: Age- and growth-related mortality are considered. Growth-related mortality is climate dependent.
Drought: A drought-index is calculated (depending on site-specific soil water holding capacity, precipitation and topography).
NBP components
Harvest: The model allows to simulate a wide range of planting, cutting and thinning techniques (see Rasche et al., 2011, Journal of Applied Ecology, 48).