Articles | Volume 9, issue 10
https://doi.org/10.5194/bg-9-3983-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/bg-9-3983-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
17 Oct 2012
Research article |
| 17 Oct 2012
Parameter-induced uncertainty quantification of soil N2O, NO and CO2 emission from Höglwald spruce forest (Germany) using the LandscapeDNDC model
K.-H. Rahn
Karlsruhe Institute of Technology, Institute for Meteorology and Climate Research, Atmospheric Environmental Research, Kreuzeckbahnstr. 19, 82467 Garmisch-Partenkirchen, Germany
C. Werner
Karlsruhe Institute of Technology, Institute for Meteorology and Climate Research, Atmospheric Environmental Research, Kreuzeckbahnstr. 19, 82467 Garmisch-Partenkirchen, Germany
now at: Biodiversity and Climate Research Centre (BIK-F), Senckenberg Gesellschaft für Naturforschung, Senckenberganlage 25, 60325 Frankfurt am Main, Germany
R. Kiese
Karlsruhe Institute of Technology, Institute for Meteorology and Climate Research, Atmospheric Environmental Research, Kreuzeckbahnstr. 19, 82467 Garmisch-Partenkirchen, Germany
E. Haas
Karlsruhe Institute of Technology, Institute for Meteorology and Climate Research, Atmospheric Environmental Research, Kreuzeckbahnstr. 19, 82467 Garmisch-Partenkirchen, Germany
K. Butterbach-Bahl
Karlsruhe Institute of Technology, Institute for Meteorology and Climate Research, Atmospheric Environmental Research, Kreuzeckbahnstr. 19, 82467 Garmisch-Partenkirchen, Germany
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Cited
16 citations as recorded by crossref.
- The development of the DNDC plant growth sub-model and the application of DNDC in agriculture: A review Y. Zhang & H. Niu 10.1016/j.agee.2016.06.017
- Accuracy and uncertainty analysis of staple food crop modelling by the process-based Agro-C model Q. Zhang et al. 10.1007/s00484-020-02053-1
- Accounting for foliar gradients in Vcmax and Jmax improves estimates of net CO2 exchange of forests C. Bachofen et al. 10.1016/j.agrformet.2021.108771
- From research to policy: optimizing the design of a national monitoring system to mitigate soil nitrous oxide emissions S. Ogle et al. 10.1016/j.cosust.2020.06.003
- Regional assessment and uncertainty analysis of carbon and nitrogen balances at cropland scale using the ecosystem model LandscapeDNDC O. Sifounakis et al. 10.5194/bg-21-1563-2024
- Closing the N-Budget: How Simulated Groundwater-Borne Nitrate Supply Affects Plant Growth and Greenhouse Gas Emissions on Temperate Grassland R. Liebermann et al. 10.3390/atmos9100407
- Toward a framework for the multimodel ensemble prediction of soil nitrogen losses K. Liao et al. 10.1016/j.ecolmodel.2021.109675
- Understanding the DayCent model: Calibration, sensitivity, and identifiability through inverse modeling M. Necpálová et al. 10.1016/j.envsoft.2014.12.011
- Improving model prediction of soil N2O emissions through Bayesian calibration V. Myrgiotis et al. 10.1016/j.scitotenv.2017.12.202
- Carbon dioxide emissions at local scale linked to soil heterotrophic activity from an experimentally simulated drained peatland in Western Patagonia (Tierra del Fuego, Chile) C. Córdova et al. 10.1111/sum.12708
- First 20 years of DNDC (DeNitrification DeComposition): Model evolution S. Gilhespy et al. 10.1016/j.ecolmodel.2014.09.004
- A systematic approach to identifying key parameters and processes in agroecosystem models V. Myrgiotis et al. 10.1016/j.ecolmodel.2017.12.009
- Simulation of CO2 Fluxes in European Forest Ecosystems with the Coupled Soil-Vegetation Process Model “LandscapeDNDC” S. Molina-Herrera et al. 10.3390/f6061779
- Improving efficiency of a statistical analysis of complex ecological models, when using the statistical software R by parallelising tasks with Rmpi K. Rahn et al. 10.1016/j.ecoinf.2013.02.005
- Factors controlling Nitrous Oxide emission from a spruce forest ecosystem on drained organic soil, derived using the CoupModel H. He et al. 10.1016/j.ecolmodel.2015.10.030
- Environmental change impacts on the C- and N-cycle of European forests: a model comparison study D. Cameron et al. 10.5194/bgd-9-11041-2012
15 citations as recorded by crossref.
- The development of the DNDC plant growth sub-model and the application of DNDC in agriculture: A review Y. Zhang & H. Niu 10.1016/j.agee.2016.06.017
- Accuracy and uncertainty analysis of staple food crop modelling by the process-based Agro-C model Q. Zhang et al. 10.1007/s00484-020-02053-1
- Accounting for foliar gradients in Vcmax and Jmax improves estimates of net CO2 exchange of forests C. Bachofen et al. 10.1016/j.agrformet.2021.108771
- From research to policy: optimizing the design of a national monitoring system to mitigate soil nitrous oxide emissions S. Ogle et al. 10.1016/j.cosust.2020.06.003
- Regional assessment and uncertainty analysis of carbon and nitrogen balances at cropland scale using the ecosystem model LandscapeDNDC O. Sifounakis et al. 10.5194/bg-21-1563-2024
- Closing the N-Budget: How Simulated Groundwater-Borne Nitrate Supply Affects Plant Growth and Greenhouse Gas Emissions on Temperate Grassland R. Liebermann et al. 10.3390/atmos9100407
- Toward a framework for the multimodel ensemble prediction of soil nitrogen losses K. Liao et al. 10.1016/j.ecolmodel.2021.109675
- Understanding the DayCent model: Calibration, sensitivity, and identifiability through inverse modeling M. Necpálová et al. 10.1016/j.envsoft.2014.12.011
- Improving model prediction of soil N2O emissions through Bayesian calibration V. Myrgiotis et al. 10.1016/j.scitotenv.2017.12.202
- Carbon dioxide emissions at local scale linked to soil heterotrophic activity from an experimentally simulated drained peatland in Western Patagonia (Tierra del Fuego, Chile) C. Córdova et al. 10.1111/sum.12708
- First 20 years of DNDC (DeNitrification DeComposition): Model evolution S. Gilhespy et al. 10.1016/j.ecolmodel.2014.09.004
- A systematic approach to identifying key parameters and processes in agroecosystem models V. Myrgiotis et al. 10.1016/j.ecolmodel.2017.12.009
- Simulation of CO2 Fluxes in European Forest Ecosystems with the Coupled Soil-Vegetation Process Model “LandscapeDNDC” S. Molina-Herrera et al. 10.3390/f6061779
- Improving efficiency of a statistical analysis of complex ecological models, when using the statistical software R by parallelising tasks with Rmpi K. Rahn et al. 10.1016/j.ecoinf.2013.02.005
- Factors controlling Nitrous Oxide emission from a spruce forest ecosystem on drained organic soil, derived using the CoupModel H. He et al. 10.1016/j.ecolmodel.2015.10.030
1 citations as recorded by crossref.
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