Articles | Volume 19, issue 2
https://doi.org/10.5194/hess-19-981-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-19-981-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Nitrogen surface water retention in the Baltic Sea drainage basin
P. Stålnacke
CORRESPONDING AUTHOR
Bioforsk – Norwegian Institute for Agricultural and Environmental Research, Fr. A. Dahls vei 20, 1430 Ås, Norway
A. Pengerud
Bioforsk – Norwegian Institute for Agricultural and Environmental Research, Fr. A. Dahls vei 20, 1430 Ås, Norway
A. Vassiljev
Tallinn University of Technology, Ehitajate tee 5, Tallinn 19086, Estonia
E. Smedberg
Baltic Sea Centre, Stockholm University, 106 91 Stockholm, Sweden
C.-M. Mörth
Baltic Sea Centre, Stockholm University, 106 91 Stockholm, Sweden
H. E. Hägg
Baltic Sea Centre, Stockholm University, 106 91 Stockholm, Sweden
C. Humborg
Baltic Sea Centre, Stockholm University, 106 91 Stockholm, Sweden
H. E. Andersen
Aarhus University, Department of Bioscience, Vejlsøvej 25, 8600 Aarhus, Denmark
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Cited
22 citations as recorded by crossref.
- Potential of stream restorations to enhance the hyporheic removal of agricultural nitrogen in Sweden J. Riml et al. 10.1016/j.ecoleng.2024.107194
- Patterns of nitrate retention in agriculturally influenced streams and rivers A. Hill 10.1007/s10533-023-01027-w
- Loadings of dissolved organic matter and nutrients from the Neva River into the Gulf of Finland – Biogeochemical composition and spatial distribution within the salinity gradient P. Ylöstalo et al. 10.1016/j.marchem.2016.07.004
- Investigation of Possible Nutrient Sources in Estonian Rivers A. Vassiljev et al. 10.1016/j.proeng.2016.11.038
- Review and assessment of nitrate reduction in groundwater in the Baltic Sea Basin A. Højberg et al. 10.1016/j.ejrh.2017.04.001
- Influence of climate and land use changes on nutrient fluxes from Finnish rivers to the Baltic Sea K. Rankinen et al. 10.1016/j.agee.2015.09.010
- An evaluation of the Chesapeake Bay management strategy to improve water quality in small agricultural watersheds R. Fox et al. 10.1016/j.jenvman.2021.113478
- Long-term changes in nitrogen and phosphorus emission into the Vistula and Oder catchments (Poland)—modeling (MONERIS) studies M. Pastuszak et al. 10.1007/s11356-018-2945-7
- Can investments in manure technology reduce nutrient leakage to the Baltic Sea? T. Jansson et al. 10.1007/s13280-019-01251-5
- Increasing the cost-effectiveness of nutrient reduction targets using different spatial scales M. Czajkowski et al. 10.1016/j.scitotenv.2021.147824
- Reduction of nutrient emission from Polish territory into the Baltic Sea (1988–2014) confronted with real environmental needs and international requirements M. Pastuszak et al. 10.1515/ohs-2018-0015
- Identifying Hot Spots of Agricultural Nitrogen Loss Within the Baltic Sea Drainage Basin H. Andersen et al. 10.1007/s11270-015-2733-7
- Spatial patterns of nitrogen runoff from Chinese paddy fields X. Hou et al. 10.1016/j.agee.2016.07.001
- Spatio-temporal analysis of phosphorus concentrations in a North-Eastern German lowland watershed S. Koch et al. 10.1016/j.ejrh.2018.02.001
- Spatial distribution of the relationship between nitrate residues in soil and surface water quality revealed through attenuation factors K. D’Haene et al. 10.1016/j.agee.2022.107889
- Organic Carbon, Nitrogen Accumulation and Nitrogen Leaching as Affected by Legume Crop Residues on Sandy Loam in the Eastern Baltic Region L. Tripolskaja et al. 10.3390/plants12132478
- Legacy nutrients in the Baltic Sea drainage basin: How past practices affect eutrophication management B. Müller-Karulis et al. 10.1016/j.jenvman.2024.122478
- Detection and attribution of nitrogen runoff trend in China's croplands X. Hou et al. 10.1016/j.envpol.2017.11.052
- Baltic Sea eutrophication status is not improved by the first pillar of the European Union Common Agricultural Policy T. Jansson et al. 10.1007/s10113-019-01559-8
- Nitrogen losses from two contrasting agricultural catchments in Norway X. Chen & M. Bechmann 10.1098/rsos.190490
- Modeling the sources and retention of phosphorus nutrient in a coastal river system in China using SWAT J. Cheng et al. 10.1016/j.jenvman.2020.111556
- Nutrient inputs into the Gulf of Finland: Trends and water protection targets S. Knuuttila et al. 10.1016/j.jmarsys.2016.09.008
20 citations as recorded by crossref.
- Potential of stream restorations to enhance the hyporheic removal of agricultural nitrogen in Sweden J. Riml et al. 10.1016/j.ecoleng.2024.107194
- Patterns of nitrate retention in agriculturally influenced streams and rivers A. Hill 10.1007/s10533-023-01027-w
- Loadings of dissolved organic matter and nutrients from the Neva River into the Gulf of Finland – Biogeochemical composition and spatial distribution within the salinity gradient P. Ylöstalo et al. 10.1016/j.marchem.2016.07.004
- Investigation of Possible Nutrient Sources in Estonian Rivers A. Vassiljev et al. 10.1016/j.proeng.2016.11.038
- Review and assessment of nitrate reduction in groundwater in the Baltic Sea Basin A. Højberg et al. 10.1016/j.ejrh.2017.04.001
- Influence of climate and land use changes on nutrient fluxes from Finnish rivers to the Baltic Sea K. Rankinen et al. 10.1016/j.agee.2015.09.010
- An evaluation of the Chesapeake Bay management strategy to improve water quality in small agricultural watersheds R. Fox et al. 10.1016/j.jenvman.2021.113478
- Long-term changes in nitrogen and phosphorus emission into the Vistula and Oder catchments (Poland)—modeling (MONERIS) studies M. Pastuszak et al. 10.1007/s11356-018-2945-7
- Can investments in manure technology reduce nutrient leakage to the Baltic Sea? T. Jansson et al. 10.1007/s13280-019-01251-5
- Increasing the cost-effectiveness of nutrient reduction targets using different spatial scales M. Czajkowski et al. 10.1016/j.scitotenv.2021.147824
- Reduction of nutrient emission from Polish territory into the Baltic Sea (1988–2014) confronted with real environmental needs and international requirements M. Pastuszak et al. 10.1515/ohs-2018-0015
- Identifying Hot Spots of Agricultural Nitrogen Loss Within the Baltic Sea Drainage Basin H. Andersen et al. 10.1007/s11270-015-2733-7
- Spatial patterns of nitrogen runoff from Chinese paddy fields X. Hou et al. 10.1016/j.agee.2016.07.001
- Spatio-temporal analysis of phosphorus concentrations in a North-Eastern German lowland watershed S. Koch et al. 10.1016/j.ejrh.2018.02.001
- Spatial distribution of the relationship between nitrate residues in soil and surface water quality revealed through attenuation factors K. D’Haene et al. 10.1016/j.agee.2022.107889
- Organic Carbon, Nitrogen Accumulation and Nitrogen Leaching as Affected by Legume Crop Residues on Sandy Loam in the Eastern Baltic Region L. Tripolskaja et al. 10.3390/plants12132478
- Legacy nutrients in the Baltic Sea drainage basin: How past practices affect eutrophication management B. Müller-Karulis et al. 10.1016/j.jenvman.2024.122478
- Detection and attribution of nitrogen runoff trend in China's croplands X. Hou et al. 10.1016/j.envpol.2017.11.052
- Baltic Sea eutrophication status is not improved by the first pillar of the European Union Common Agricultural Policy T. Jansson et al. 10.1007/s10113-019-01559-8
- Nitrogen losses from two contrasting agricultural catchments in Norway X. Chen & M. Bechmann 10.1098/rsos.190490
2 citations as recorded by crossref.
Saved (final revised paper)
Latest update: 23 Nov 2024
Short summary
In this study, we used the MESAW statistical model to estimate the surface water N retention. Such large-scale estimates are lacking for the Baltic Sea and there are only a few studies of this globally. Our results show that around 380 000t of N are annually retained in surface waters draining to the Baltic Sea. The total annual riverine load from the 117 basins to the Baltic Sea was estimated at 570 000t of N, yielding a total surface water N retention of around 40%.
In this study, we used the MESAW statistical model to estimate the surface water N retention....