new LandscapeDNDC biogeochemical module to predict CH4 and N 2O emissions from lowland rice and upland cropping systems

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 un...

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Bibliographic Details
Published in:Plant and soil 2015, Vol.386 (1-2), p.125-149
Main Authors: Kraus, David, Weller, Sebastian, Klatt, Steffen, Haas, Edwin, Wassmann, Reiner, Kiese, Ralf, Butterbach-Bahl, Klaus
Format: Article
Language:English
Subjects:
climate change
climatic factors
corn
cropping systems
field experimentation
greenhouse gas emissions
greenhouse soils
hydrologic models
land management
meat
methane
microclimate
nitrous oxide
rice
simulation models
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Summary: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 CH₄emissions in paddy rice depending on changes in climatic conditions and agricultural management. Magnitude and peak emission periods of N₂O 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.
ISSN:0032-079X