Impact model: LPJ-GUESS

LPJ-GUESS is one of the 14 models following the ISIMIP2a protocol which form the base of simulations for the ISIMIP2a agricultural sector outputs; for a full technical description of the ISIMIP2a Simulation Data from Agricultural Sector, see this DOI link: http://doi.org/10.5880/PIK.2017.006

Sector
Agriculture
Region
global
Contact Person

Information for the model LPJ-GUESS 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: Version 2.1 with crop module
Reference Paper: Other References:
Output Data
Experiments: historical
Climate Drivers: GSWP3, PGMFD v.2 (Princeton), WATCH (WFD), WATCH+WFDEI
Date: 2016-05-04
Resolution
Spatial Aggregation: regular grid
Spatial Resolution: 0.5°x0.5°
Temporal Resolution Of Input Data: Climate Variables: daily
Temporal Resolution Of Input Data: Co2: annual
Input data sets used
Observed Atmospheric Climate Data Sets Used: GSWP3, WATCH (WFD), WATCH+WFDEI
Climate Variables: tas, rsds, pr
Additional Input Data Sets: GGCMI harmonized planting and maturity datasets (for a subset of simulations)
Spin-up
Was A Spin-Up Performed?: Yes
Spin-Up Design: 30 year spinup, using climate and [CO2] from the first simulation year.
Management & Adaptation Measures
Management: With and without adapting growing periods.
Key input and Management
Crops: whe(w,s), rice, mai, mill, sub, cass, fpea, soy, sunfl, rapes, gnut, suc
Land Cover: potential suitable cropland area according to climatic conditions, current harvested areas (Hurtt et al. 2011/Portmann et al., 2010)
Planting Date Decision: Simulate planting dates according to climatic conditions (Waha et al. 2012) or planting dates fixed at present based on S.
Planting Density: planting density=1
Crop Cultivars: Simulate crop Growing Degree Days (GDDs) requirement according to estimated annual GDDs from daily temperature. Vernalization requirements computed based on past climate experience (whe, sunfl, rapes); BT (mai); static (others). No differentiation between varieties other than PHU, except for wheat, which automatically selects between spring and winter varieties according to prevailing climate.
Irrigation: No restriction on actual water availability, irrigated water applied whenever plants would otherwise enter water stress due to soil water limitations.
Crop Residue: N/A, as does not influence yields in this version of LPJ-GUESS.
Initial Soil Water: 30 year spin up
Initial Soil C And Om: Not initialised or spun-up, as they do not influence yields in this version of LPJ-GUESS.
Key model processes
Leaf Area Development: Dynamic simulation based on development and growth processes
Light Interception: Simple approach
Light Utilization: Detailed (explanatory) Gross photosynthesis – respiration, (for more details, see e.g. Adam et al. (2011))
Yield Formation: harvest index modified by water stress
Crop Phenology: temperature, heat unit index
Root Distribution Over Depth: linear
Stresses Involved: Water stress
Type Of Water Stress: ratio of supply to demand of water
Water Dynamics: soil water capacity approach with 2 soil layers
Evapo-Transpiration: Priestley -Taylor
Co2 Effects: Leaf-level photosynthesis-rubisco