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N$_{2}$O emissions and NO$_{3}$$^{-}$ leaching from two contrasting regions in Austria and influence of soil, crops and climate: a modelling approach

Kasper, M.; Foldal, C.; Kitzler, B.; Haas, Edwin; Strauss, P.; Eder, A.; Zechmeister-Boltenstern, S.; Amon, B.

Abstract:
National emission inventories for UN FCCC reporting estimate regional soil nitrous oxide (N$_{2}$O) fluxes by considering the amount of N input as the only influencing factor for N$_{2}$O emissions. Our aim was to deepen the understanding of N$_{2}$O fluxes from agricultural soils, including region specific soil and climate properties into the estimation of emission to find targeted mitigation measures for the reduction of nitrogen losses and GHG emissions. Within this project, N$_{2}$O emissions and nitrate (NO$_{3}$$^{-}$) leaching were modelled under spatially distinct environmental conditions in two agricultural regions in Austria taking into account region specific soil and climatic properties, management practices and crop rotations. The LandscapeDNDC ecosystem model was used to calculate N$_{2}$O emissions and NO$_{3}$$^{-}$ leaching reflecting different types of vegetation, management operations and crop rotations. In addition, N input and N fluxes were assessed and N$_{2}$O emissions were calculated. This approach allowed identifying hot spots of N$_{2}$O emissions. Results show that certain combinations of soil type, weather conditions, crop and management can lead to high emissions. ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000089790
Veröffentlicht am 17.01.2019
Originalveröffentlichung
DOI: 10.1007/s10705-018-9965-z
Coverbild
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU)
Publikationstyp Zeitschriftenaufsatz
Jahr 2019
Sprache Englisch
Identifikator ISSN: 1385-1314, 1573-0867
urn:nbn:de:swb:90-897902
KITopen-ID: 1000089790
HGF-Programm 12.02.01 (POF III, LK 01)
Erschienen in Nutrient cycling in agroecosystems
Band 113
Heft 1
Seiten 95–111
Vorab online veröffentlicht am 18.12.2018
Schlagworte Agriculture, Cultivation, Process based modelling, N2O emissions, NO3− leaching, Crop rotation
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