LandscapeDNDC is a simulation framework designed for terrestrial ecosystem models on site and regional scales (Haas et al. 2013). The model is primarily used for research questions related to carbon and nitrogen cycling, including greenhouse gas emissions, nutrient leaching to the groundwater, biomass growth and yield estimates. The model can be applied to a wide range of ecosystems including forests, grasslands, wetlands and different types of lowland and upland cropping systems. It is actively developed at the Karlsruhe Institute of Technology in collaboration with the Land-CRAFT center at Aarhus University.
Nóia-Júnior et al. (Agricultural Water Management) compare how 15 crop models simulate wheat growth under waterlogging and find large structural differences between models, pointing to hydrological stress, crop process representation and recovery as priorities for model improvement.
Fuchs et al. (Soil Biology and Biochemistry) combine a 15N labelling experiment with the isotope model SIMONE to constrain nitrogen turnover in LandscapeDNDC. The calibration improves simulated plant N uptake and agrees better with measured mineralization and immobilization rates.
Nguyen et al. (Environmental Challenges) evaluate IPCC Tier 1–3 approaches for national CH4 inventories. With good site data, Tier 3 simulations with DNDC and LandscapeDNDC add value for analysing emission dynamics and mitigation options.
