Numerical Models
The RC CZO modeling approach will employ pedon-scale models to improve process understanding, hydrologic modeling to create high resolution distributed environmental parameters and carbon/ecosystem modeling to predict soil carbon distribution and identify weaknesses in conceptual knowledge and scaling efforts.
Integration of RC CZO datasets and models
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Datasets |
Pedon-scale modeling |
Landscape-scale modeling |
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Pools |
SOC, SIC, nutrients, physical fractionation, other physio-chemical soil properties, mineral phases present |
Provides both initial conditions and modeling targets for geochemical modeling |
Constrain soil hydraulic and thermal properties, partition soil C between appropriate belowground model pools |
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Aboveground ground C stocks, foliar N |
Not directly used, may provide system-level constraints |
Assess partitioning of assimilated C to leaf and stem C, test assumption of N-limitation on vegetation GPP |
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Fluxes |
Aboveground and belowground NPP |
BNPP will constrain carbon production rates. |
Assess simulated NPP in vegetation dynamics models |
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Litterfall |
Input term at upper boundary of model domain |
Constrain canopy C loss and input to soil C pools |
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Eddy flux NEE |
Not directly used, may provide system-level constraints |
Evaluate modeled ET and constrain NPP |
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Sapflux |
Not directly used, may provide system-level constraints |
Assess model partitioning of ET as transpiration |
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Litter decomposition |
May impact upper boundary carbon input term |
Constrain net rate of input of C to soil, partitioning of litter loss to decomposition and soil input |
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Soil respiration |
Modeling target for CO2 generation/consumption |
Evaluate simulated soil respiration rates |
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Soil lysimeter |
Porewater chemistry will provide both initial conditions and modeling targets for geochemical modeling |
Assess model partitioning of ET as soil evaporation |
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