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Modelling Nutrient Load Changes from Fertilizer Application Scenarios in Six Catchments around the Baltic Sea

Author

Listed:
  • Hans Thodsen

    (Department of BioScience, Aarhus University, Vejlsøvej 25, 8600 Silkeborg, Denmark)

  • Csilla Farkas

    (Bioforsk, Division for Soil, Water and Environment, Frederik A. Dahlsvei 20, 1430 Ås, Norway)

  • Jaroslaw Chormanski

    (Department of Hydraulic Engineering, Faculty of Civil and Environmental Engineering, Warsaw University of Life Sciences-SGGW, ul. Nowoursynowska 166, 02-787 Warszawa, Poland)

  • Dennis Trolle

    (Department of BioScience, Aarhus University, Vejlsøvej 25, 8600 Silkeborg, Denmark)

  • Gitte Blicher-Mathiesen

    (Department of BioScience, Aarhus University, Vejlsøvej 25, 8600 Silkeborg, Denmark)

  • Ruth Grant

    (Department of BioScience, Aarhus University, Vejlsøvej 25, 8600 Silkeborg, Denmark)

  • Alexander Engebretsen

    (Bioforsk, Division for Soil, Water and Environment, Frederik A. Dahlsvei 20, 1430 Ås, Norway)

  • Ignacy Kardel

    (Department of Hydraulic Engineering, Faculty of Civil and Environmental Engineering, Warsaw University of Life Sciences-SGGW, ul. Nowoursynowska 166, 02-787 Warszawa, Poland)

  • Hans Estrup Andersen

    (Department of BioScience, Aarhus University, Vejlsøvej 25, 8600 Silkeborg, Denmark)

Abstract

The main environmental stressor of the Baltic Sea is elevated riverine nutrient loads, mainly originating from diffuse agricultural sources. Agricultural practices, intensities, and nutrient losses vary across the Baltic Sea drainage basin (1.75 × 10 6 km 2 , 14 countries and 85 million inhabitants). Six “Soil and Water Assessment Tool” (SWAT) models were set up for catchments representing the major agricultural systems, and covering the different climate gradients in the Baltic Sea drainage basin. Four fertilizer application scenarios were run for each catchment to evaluate the sensitivity of changed fertilizer applications. Increasing sensitivity was found for catchments with an increasing proportion of agricultural land use and increased amounts of applied fertilizers. A change in chemical fertilizer use of ±20% was found to affect watershed NO 3 -N loads between zero effect and ±13%, while a change in manure application of ±20% affected watershed NO 3 -N loads between zero effect and −6% to +7%.

Suggested Citation

  • Hans Thodsen & Csilla Farkas & Jaroslaw Chormanski & Dennis Trolle & Gitte Blicher-Mathiesen & Ruth Grant & Alexander Engebretsen & Ignacy Kardel & Hans Estrup Andersen, 2017. "Modelling Nutrient Load Changes from Fertilizer Application Scenarios in Six Catchments around the Baltic Sea," Agriculture, MDPI, vol. 7(5), pages 1-17, May.
    • Handle: RePEc:gam:jagris:v:7:y:2017:i:5:p:41-:d:97495
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    References listed on IDEAS

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    1. Manoj Jha & Philip W. Gassman & Silvia Secchi & Roy Gu & Jeffrey G. Arnold, 2002. "Effect of Watershed Subdivision on SWAT Flow, Sediment, and Nutrient Predictions," Center for Agricultural and Rural Development (CARD) Publications 02-wp315, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    2. Lam, Q.D. & Schmalz, B. & Fohrer, N., 2010. "Modelling point and diffuse source pollution of nitrate in a rural lowland catchment using the SWAT model," Agricultural Water Management, Elsevier, vol. 97(2), pages 317-325, February.
    3. Bouraoui, Fayçal & Grizzetti, Bruna, 2008. "An integrated modelling framework to estimate the fate of nutrients: Application to the Loire (France)," Ecological Modelling, Elsevier, vol. 212(3), pages 450-459.
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    1. Plunge, Svajunas & Gudas, Mindaugas & Povilaitis, Arvydas, 2022. "Effectiveness of best management practices for non-point source agricultural water pollution control with changing climate – Lithuania’s case," Agricultural Water Management, Elsevier, vol. 267(C).
    2. Laima Česonienė & Daiva Šileikienė & Midona Dapkienė, 2021. "Influence of Anthropogenic Load in River Basins on River Water Status: A Case Study in Lithuania," Land, MDPI, vol. 10(12), pages 1-16, November.
    3. Dzierzbicka-Glowacka, Lidia & Dybowski, Dawid & Janecki, Maciej & Wojciechowska, Ewa & Szymczycha, Beata & Potrykus, Dawid & Nowicki, Artur & Szymkiewicz, Adam & Zima, Piotr & Jaworska-Szulc, Beata & , 2022. "Modelling the impact of the agricultural holdings and land-use structure on the quality of inland and coastal waters with an innovative and interdisciplinary toolkit," Agricultural Water Management, Elsevier, vol. 263(C).

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