A new LandscapeDNDC biogeochemical module to predict CH4 and N2O emissions from lowland rice and upland cropping systems
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Kraus, D., Weller, S., Klatt, S., Haas, E., Wassmann, R., Kiese, R. and Butterbach-Bahl, K. 2014. A new LandscapeDNDC biogeochemical module to predict CH4 and N2O emissions from lowland rice and upland cropping systems. Plant and Soil (2014): 1-25.
Permanent link to cite or share this item: https://hdl.handle.net/10568/51630
External link to download this item: http://link.springer.com/article/10.1007%2Fs11104-014-2255-x
Background and aims Replacing paddy rice by upland systems such as maize cultivation is an on-going trend in SE Asia caused by increasing water scarcity and higher demand for meat. How such land management changes will feedback on soil C and N cycles and soil greenhouse gas emissions is not well understood at present. Methods A new LandscapeDNDC biogeochemical module was developed that allows the effect of land management changes on soil C and N cycle to be simulated. The new module is applied in combination with further modules simulating microclimate and crop growth and evaluated against observations from field experiments. Results The model simulations agree well with observed dynamics of CH 4 emissions in paddy rice depending on changes in climatic conditions and agricultural management. Magnitude and peak emission periods of N 2 O from maize cultivation are simulated correctly, though there are still deficits in reproducing day-to-day dynamics. These shortcomings are most likely related to simulated soil hydrology and may only be resolved if LandscapeDNDC is coupled to more complex hydrological models. Conclusions LandscapeDNDC allows for simulation of changing land management practices in SE Asia. The possibility to couple LandscapeDNDC to more complex hydrological models is a feature needed to better understand related effects on soil-atmosphere-hydrosphere interactions.