A new LandscapeDNDC biogeochemical module to predict CH4 and N2O emissions from lowland rice and upland cropping systems

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cg.creator.identifierKlaus Butterbach-Bahl: 0000-0001-9499-6598
cg.identifier.doihttps://doi.org/10.1007/s11104-014-2255-xen
cg.identifier.urlhttp://link.springer.com/article/10.1007%2Fs11104-014-2255-xen
cg.isijournalISI Journalen
cg.issn1573-5036en
cg.issn0032-079Xen
cg.issue1-2en
cg.journalPlant and Soilen
cg.subject.ilriCROPSen
cg.subject.ilriFARMING SYSTEMSen
cg.volume386en
dc.contributor.authorKraus, Daviden
dc.contributor.authorWeller, S.en
dc.contributor.authorKlatt, Steffenen
dc.contributor.authorHaas, E.en
dc.contributor.authorKiese, Ralfen
dc.contributor.authorButterbach-Bahl, Klausen
dc.date.accessioned2014-11-24T09:01:26Zen
dc.date.available2014-11-24T09:01:26Zen
dc.identifier.urihttps://hdl.handle.net/10568/51630
dc.titleA new LandscapeDNDC biogeochemical module to predict CH4 and N2O emissions from lowland rice and upland cropping systemsen
dcterms.abstractBackground 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.en
dcterms.accessRightsLimited Access
dcterms.audienceScientistsen
dcterms.available2014-09-04
dcterms.bibliographicCitationKraus, 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.en
dcterms.extentp. 125-149en
dcterms.issued2015-01
dcterms.languageen
dcterms.licenseCopyrighted; all rights reserved
dcterms.publisherSpringeren
dcterms.subjectcropsen
dcterms.subjectfarming systemsen
dcterms.typeJournal Article

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