Impact model: GOTILWA+

GOTILWA+ model - Growth of Trees is Limited by Water, http://www.creaf.uab.cat/gotilwa/, (Gracia et al., 1999; Keenan et al. 2009; Nadal-Sala et al., 2017) - is a process-based forest simulation model. It is focused in forest carbon and water balances in a plot scale. In GOTILWA+ gas exchange processes are calculated at a hourly basis, and they are integrated daily and yearly.

Sector
Forests
Region
local
Contact Person

Information for the model GOTILWA+ 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: 4.0
Reference Paper: Main Reference: Nadal-Sala D, Keenan T, Sabaté S, Gracia C et al. Forest Eco-Physiological Models: Water Use and Carbon Sequestration. Managing Forest Ecosystems: The Challenge of Climate Change,None,81-102,2017
Reference Paper: Other References:
Person Responsible For Model Simulations In This Simulation Round: Daniel Nadal-Sala
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
Resolution
Spatial Aggregation: forest stand
Spatial Resolution: 1x1 ha
Additional Spatial Aggregation & Resolution Information: GOTIWA+ simulates 1 ha plots.
Temporal Resolution Of Input Data: Climate Variables: daily
Temporal Resolution Of Input Data: Co2: daily
Temporal Resolution Of Input Data: Land Use/Land Cover: national inventories—based forests
Temporal Resolution Of Input Data: Soil: any soil
Additional Temporal Resolution Information: Climate variables disaggregated to hourly
Input data sets used
Climate Variables: tasmax, tas, tasmin, rlds, wind, rhs, rsds, ps, pr
Exceptions to Protocol
Exceptions: yes
Spin-up
Was A Spin-Up Performed?: No
Natural Vegetation
Natural Vegetation Partition: GOTILWA+ only works with mono-specific stands.
Management & Adaptation Measures
Management: Management procedures as defined in the protocol. In natural runs, a constant regeneration has been considered. This regeneration happens every 10 year of simulation, and equals to the Initial density under managed conditions / rotation length * 10.
Extreme Events & Disturbances
Key Challenges: Reproducing individual tree mortality. Reproducing loose of sapwood hydraulic conductivity under stresses. Drought and heath waves affect carbon and water balances.
Key model processes
Dynamic Vegetation: - See in model setup -
Nitrogen Limitation: Nitrogen limitation is not explicitly included in the model description.
Co2 Effects: CO2 increase enhances assimilation rate.
Light Interception: Two-layers canopy: Light - saturated - leafs, and shadow - unsaturated - leafs.
Light Utilization: Photosynthesis
Phenology: Phenology described as temperature limitation upon photosynthesis. Also, temperature control upon burdburst and leaf fall.
Water Stress: Stomata control upon photosynthesis related to soil water availability. Also, limitations in photosynthetic parameters depending on the degree of water deficit stress.
Heat Stress: Exponential increase of tissue respiration according to increases in temperature. Reduced stomatal conductance under high vapor pressure deficit conditions.
Evapo-Transpiration Approach: Interception calculated depending on rain intensity and leaf area index. Leaf gas exchange calculated following Leuning (1995)
Differences In Rooting Depth: Two compartments in the rooting depth: Firstly, fixed proportion between aboveground and belowground biomass. Also, conservative Pipe Model structure among leaf area, sapwood area, and fine roots biomass.
Root Distribution Over Depth: No
Closed Energy Balance: Leaf energy balance from Gates (1962)
Coupling/Feedback Between Soil Moisture And Surface Temperature: No
Causes of mortality in vegetation models
Age: No
Fire: No, but fire ocurrence probability, as well as percent of stems dead in case of fire, are calculated+
Drought: Yes
Insects: No
Storm: No
Stochastic Random Disturbance: No
Other: Hydraulic limitations due to cavitation are accounted in the model. Mortaility in GOTILWA+ model is driven by the balance of available carbohydrates for a given tree.
NBP components
Harvest: Stem wood is removed from the plot. Leafs and branches remain in the plot, and they dynamically are emited as CO2 or integrated into soil organic layers according to climate conditions.
Species / Plant Functional Types (PFTs)
List Of Species / Pfts: Pinus sylvestris Pinus halepensis Pinus pinaster Pinus nigra Quercus ilex Quercus pubescens Fraxinus excelsior Robinia pseudoacacia
Additional Forest Information
Forest sites simulated: Hyytiala, Peitz, Soro, Le Bray, Solling, Collelongo
Basic information
Model Version: 4.0
Reference Paper: Main Reference: Nadal-Sala D, Keenan T, Sabaté S, Gracia C et al. Forest Eco-Physiological Models: Water Use and Carbon Sequestration. Managing Forest Ecosystems: The Challenge of Climate Change,None,81-102,2017
Reference Paper: Other References:
Person Responsible For Model Simulations In This Simulation Round: Daniel Nadal-Sala
Output Data
Experiments: historical (Hyytiälä, Peitz, Solling beech, Sorø, Le Bray, Collelongo)
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: 1x1 ha
Additional Spatial Aggregation & Resolution Information: GOTIWA+ simulates 1 ha plots.
Temporal Resolution Of Input Data: Climate Variables: daily
Temporal Resolution Of Input Data: Co2: daily
Temporal Resolution Of Input Data: Land Use/Land Cover: national inventories—based forests
Temporal Resolution Of Input Data: Soil: any soil
Additional Temporal Resolution Information: Climate variables disaggregated to hourly
Input data sets used
Observed Atmospheric Climate Data Sets Used: GSWP3, Historical observed climate data, PGMFD v.2 (Princeton), WATCH (WFD), WATCH+WFDEI
Emissions Data Sets Used: CO2 concentration
Climate Variables: tasmax, tas, tasmin, rlds, wind, rhs, rsds, ps, pr
Exceptions to Protocol
Exceptions: yes
Spin-up
Was A Spin-Up Performed?: No
Natural Vegetation
Natural Vegetation Partition: GOTILWA+ only works with mono-specific stands.
Management & Adaptation Measures
Management: Management procedures as defined in the protocol. In natural runs, a constant regeneration has been considered. This regeneration happens every 10 year of simulation, and equals to the Initial density under managed conditions / rotation length * 10.
Extreme Events & Disturbances
Key Challenges: Reproducing individual tree mortality. Reproducing loose of sapwood hydraulic conductivity under stresses. Drought and heath waves affect carbon and water balances.
Key model processes
Dynamic Vegetation: - See in model setup -
Nitrogen Limitation: Nitrogen limitation is not explicitly included in the model description.
Co2 Effects: CO2 increase enhances assimilation rate.
Light Interception: Two-layers canopy: Light - saturated - leafs, and shadow - unsaturated - leafs.
Light Utilization: Photosynthesis following Farquhar and Von Caemmerer (1982)
Phenology: Phenology described as temperature limitation upon photosynthesis. Also, temperature control upon burdburst and leaf fall.
Water Stress: Stomata control upon photosynthesis related to soil water availability. Also, limitations in photosynthetic parameters depending on the degree of water deficit stress.
Heat Stress: Exponential increase of tissue respiration according to increases in temperature. Reduced stomatal conductance under high vapor pressure deficit conditions.
Evapo-Transpiration Approach: Interception calculated depending on rain intensity and leaf area index. Leaf gas exchange calculated following Leuning (1995)
Differences In Rooting Depth: Two compartments in the rooting depth: Firstly, fixed proportion between aboveground and belowground biomass. Also, conservative Pipe Model structure among leaf area, sapwood area, and fine roots biomass.
Root Distribution Over Depth: No
Closed Energy Balance: Leaf energy balance from Gates (1962)
Coupling/Feedback Between Soil Moisture And Surface Temperature: No
Causes of mortality in vegetation models
Age: No
Fire: No, but fire ocurrence probability, as well as percent of stems dead in case of fire, are calculated+
Drought: Yes
Insects: No
Storm: No
Stochastic Random Disturbance: No
Other: Hydraulic limitations due to cavitation are accounted in the model. Mortaility in GOTILWA+ model is driven by the balance of available carbohydrates for a given tree.
NBP components
Harvest: Stem wood is removed from the stand. Leafs and branches remain in the stand, and they dynamically are emited as CO2 or integrated into soil organic layers according to climate conditions.
Species / Plant Functional Types (PFTs)
List Of Species / Pfts: GOTILWA+ works with tree species. Pinus sylvestris Pinus halepensis Pinus pinaster Pinus nigra Quercus ilex Quercus pubescens Fraxinus excelsior Robinia pseudoacacia
Additional Forest Information
Forest sites simulated: Simulations ran in: Hyytiala, Peitz, Soro, Le Bray, Solling, Collelongo