Articles | Volume 9, issue 11
https://doi.org/10.5194/bg-9-4573-2012
© 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-9-4573-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Uncertainties in model predictions of nitrogen fluxes from agro-ecosystems in Europe
J. Kros
Alterra, part of Wageningen UR, P.O. Box 47, 6700 AA Wageningen, The Netherlands
G. B. M. Heuvelink
Land Dynamics Group, Wageningen University, P.O. Box 47, 6700 AA Wageningen, The Netherlands
G. J. Reinds
Alterra, part of Wageningen UR, P.O. Box 47, 6700 AA Wageningen, The Netherlands
J. P. Lesschen
Alterra, part of Wageningen UR, P.O. Box 47, 6700 AA Wageningen, The Netherlands
V. Ioannidi
Alterra, part of Wageningen UR, P.O. Box 47, 6700 AA Wageningen, The Netherlands
W. De Vries
Alterra, part of Wageningen UR, P.O. Box 47, 6700 AA Wageningen, The Netherlands
Environmental Systems Analysis Group, Wageningen University, P.O. Box 47, 6700 AA Wageningen, The Netherlands
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- Uncertainty quantification of nitrogen use efficiency prediction in China using Monte Carlo simulation and quantile regression forests Y. Liu et al. 10.1016/j.compag.2022.107533
- Estimating nitrogen fluxes at the European scale by upscaling INTEGRATOR model outputs from selected sites G. Reinds et al. 10.5194/bg-9-4527-2012
31 citations as recorded by crossref.
- Improving spatial and temporal variation of ammonia emissions for the Netherlands using livestock housing information and a Sentinel-2-derived crop map X. Ge et al. 10.1016/j.aeaoa.2023.100207
- The uncertainty of nitrous oxide emissions from grazed grasslands: A New Zealand case study F. Kelliher et al. 10.1016/j.atmosenv.2016.11.005
- Reconciling regional nitrogen boundaries with global food security J. Chang et al. 10.1038/s43016-021-00366-x
- Estimation of nitrogen budgets for contrasting catchments at the landscape scale E. Vogt et al. 10.5194/bg-10-119-2013
- Machine learning in space and time for modelling soil organic carbon change G. Heuvelink et al. 10.1111/ejss.12998
- Differentiation of nitrous oxide emission factors for agricultural soils J. Lesschen et al. 10.1016/j.envpol.2011.04.001
- Integrated assessment of agricultural practices on large scale losses of ammonia, greenhouse gases, nutrients and heavy metals to air and water W. de Vries et al. 10.1016/j.scitotenv.2022.159220
- Mapping topsoil organic carbon concentrations and stocks for Tanzania B. Kempen et al. 10.1016/j.geoderma.2018.09.011
- Soil resources and element stocks in drylands to face global issues C. Plaza et al. 10.1038/s41598-018-32229-0
- HOTSPOTS OF NUTRIENT LOSSES TO AIR AND WATER: AN INTEGRATED MODELING APPROACH FOR EUROPEAN RIVER BASINS A. URAL-JANSSEN et al. 10.15302/J-FASE-2023526
- Global assessment of nitrogen losses and trade-offs with yields from major crop cultivations W. Liu et al. 10.1016/j.scitotenv.2016.08.093
- Quantifying synergistic effects of artificial and environmental variables on potato nutrient use efficiency in China Y. Liu et al. 10.1016/j.jclepro.2023.139739
- Food choices, health and environment: Effects of cutting Europe's meat and dairy intake H. Westhoek et al. 10.1016/j.gloenvcha.2014.02.004
- A decision support framework assessing management impacts on crop yield, soil carbon changes and nitrogen losses to the environment M. Young et al. 10.1111/ejss.13024
- Region oriented and integrated approach to reduce emissions of nutrients and greenhouse gases from agriculture in the Netherlands H. Kros et al. 10.1016/j.scitotenv.2023.168501
- High resolution spatiotemporal modeling of long term anthropogenic nutrient discharge in China H. Zhang et al. 10.1038/s41597-024-03102-9
- Assessment of uncertainties in greenhouse gas emission profiles of livestock sectors in Africa, Latin America and Europe B. Zhu et al. 10.1007/s10113-015-0896-9
- Uncertainty of spatial averages and totals of natural resource maps A. Wadoux & G. Heuvelink 10.1111/2041-210X.14106
- Biophysical potential of organic cropping practices as a sustainable alternative in Switzerland J. Lee et al. 10.1016/j.agsy.2020.102822
- Greenhouse gas mitigation effects of integrating biomass production into European agriculture M. de Wit et al. 10.1002/bbb.1470
- Modeling atmospheric ammonia using agricultural emissions with improved spatial variability and temporal dynamics X. Ge et al. 10.5194/acp-20-16055-2020
- Geostatistical prediction and simulation of European soil property maps G. Heuvelink et al. 10.1016/j.geodrs.2016.04.002
- Catchment land use effects on fluxes and concentrations of organic and inorganic nitrogen in streams E. Vogt et al. 10.1016/j.agee.2014.10.010
- Process-based modeling of soil nitrous oxide emissions from United States corn fields under different management and climate scenarios coupled with evaluation using regional estimates Y. Xia et al. 10.3389/fenvs.2022.971261
- Climate change impacts on crop yields, land use and environment in response to crop sowing dates and thermal time requirements A. Zimmermann et al. 10.1016/j.agsy.2017.07.007
- Spatially explicit boundaries for agricultural nitrogen inputs in the European Union to meet air and water quality targets W. de Vries et al. 10.1016/j.scitotenv.2021.147283
- A comparison of disaggregated nitrogen budgets for Danish agriculture using Europe-wide and national approaches J. Kros et al. 10.1016/j.scitotenv.2018.06.267
- Impact of interannual weather variation on ammonia emissions and concentrations in Germany X. Ge et al. 10.1016/j.agrformet.2023.109432
- Combined analysis of climate, technological and price changes on future arable farming systems in Europe J. Wolf et al. 10.1016/j.agsy.2015.08.010
- Global anthropogenic and natural nutrient fluxes: from local to planetary assessments A. Malagó & F. Bouraoui 10.1088/1748-9326/abe95f
- Uncertainty quantification of nitrogen use efficiency prediction in China using Monte Carlo simulation and quantile regression forests Y. Liu et al. 10.1016/j.compag.2022.107533
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