Journalartikel
Autorenliste: Stehfest, E; Müller, C
Jahr der Veröffentlichung: 2004
Zeitschrift: Journal of Geophysical Research: Atmospheres
Bandnummer: 109
Heftnummer: D3
ISSN: 2169-897X
eISSN: 2169-8996
Open Access Status: Green
DOI Link: https://doi.org/10.1029/2003JD004261
Verlag: American Geophysical Union
Abstract:
We used the trace gas model DayCent to simulate emissions of nitrous oxide (N2O) from a urine-affected pasture in New Zealand. The data set for this site contained year-round daily emissions of nitrification-N2O (N2Onit) and denitrification-N2O (N2Oden), meteorological data, soil moisture, and at least weekly data on soil ammonium (NH4+) and nitrate (NO3-) content. Evapotranspiration, soil temperature, and most of the soil moisture data were reasonably well represented. Observed and simulated soil NH4+ concentrations agreed well, but DayCent underestimated the NO3- concentrations, due possibly to an insufficient nitrification rate. Modeled N2O emissions (18.4 kg N2O-N ha(-1) yr(-1)) showed a similar pattern but exceeded observed emissions (4.4 kg N2O-N ha(-1) yr(-1)) by more than 3 times. Modeled and observed N2O emissions were dominated by peaks following N-application and heavy rainfall events and were favored under high soil temperatures. The contribution of N2Oden was simulated well except for a 4-week period when water-filled pore space was overestimated and caused high N2O emissions which accounted for one third of the simulated annual N2O emissions. N2Onit fluxes were overestimated with DayCent because they are calculated as a fixed proportion of NH4+ converted to NO3-, while the data suggest that significant rates of nitrification can occur without inducing significant N2O emissions. The comprehensive data set made it possible to explain discrepancies between modeled and observed values. In-depth model validations with detailed data sets are essential for a better understanding of the internal model behavior and for deriving possible model improvements.
Zitierstile
Harvard-Zitierstil: Stehfest, E. and Müller, C. (2004) Simulation of N2O emissions from a urine-affected pasture in New Zealand with the ecosystem model DayCent, Journal of Geophysical Research: Atmospheres, 109(D3), Article D03109. https://doi.org/10.1029/2003JD004261
APA-Zitierstil: Stehfest, E., & Müller, C. (2004). Simulation of N2O emissions from a urine-affected pasture in New Zealand with the ecosystem model DayCent. Journal of Geophysical Research: Atmospheres. 109(D3), Article D03109. https://doi.org/10.1029/2003JD004261