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Coupling crop and bio-economic farm modelling to evaluate the revised fertilization regulations in Germany

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  • Kuhn, T.
  • Enders, A.
  • Gaiser, T.
  • Schäfer, D.
  • Srivastava, A.K.
  • Britz, W.

Abstract

The German Fertilization Ordinance, implementing mainly the EU Nitrates Directive, was revised in 2017. We couple the bio-economic farm model FarmDyn and the crop system modelling framework SIMPLACE to assess the environmental and economic impact of the revised ordinance. The analysis focuses on specialized pig fattening and arable farms in the federal state of North Rhine-Westphalia. Most dominant farm types are derived from a farm typology based on the German Farm Structure Survey 2016. Following the revised ordinance, a farm type representing pig farms with a high stocking density lowers its emissions from 50 to 38 kg nitrate (NO3−) nitrogen ha−1 and 18 to 8 kg ammonia (NH3) nitrogen ha−1 from manure application. Compliance costs are 2.32 Euro (€) pig−1 and are mainly caused by the need to export manure to meet the stricter nutrient surplus thresholds. A pig farm type with lower stocking density mainly adapts to the compulsory use of low-emission manure application techniques, resulting in almost constant NO3− leaching, a NH3 reduction from manure application of 13 to 9 kg NH3- nitrogen ha−1, and compliance costs of 0.42 € pig−1. The two assessed arable farm types, which start to import manure under the revised ordinance, can lower costs by 109 and 118 € ha−1. However, manure import increases NO3− leaching and NH3 volatilization. Our results show that intensive pig farms realize a high emission reduction and lose a relevant share of their standard gross margin when complying with the revised ordinance. However, farm types with low stocking density, representing a high share of the pig farms in the study area, show little or no changes in costs and emissions. These findings are relevant for efficient enforcement and targeted support measures. Furthermore, the import of manure on arable farms comprises the danger of regional pollution swapping, which policymakers should address by complementary measures. Future research should focus on improving the data base for crop modelling and on scaling-up the farm model to the regional scale to directly link emission changes and environmental targets.

Suggested Citation

  • Kuhn, T. & Enders, A. & Gaiser, T. & Schäfer, D. & Srivastava, A.K. & Britz, W., 2020. "Coupling crop and bio-economic farm modelling to evaluate the revised fertilization regulations in Germany," Agricultural Systems, Elsevier, vol. 177(C).
    • Handle: RePEc:eee:agisys:v:177:y:2020:i:c:s0308521x19303257
    DOI: 10.1016/j.agsy.2019.102687
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    1. Ruben, Ruerd & Moll, Henk & Kuyvenhoven, Arie, 1998. "Integrating agricultural research and policy analysis: analytical framework and policy applications for bio-economic modelling," Agricultural Systems, Elsevier, vol. 58(3), pages 331-349, November.
    2. Gaiser, Thomas & Perkons, Ute & Küpper, Paul Martin & Kautz, Timo & Uteau-Puschmann, Daniel & Ewert, Frank & Enders, Andreas & Krauss, Gunther, 2013. "Modeling biopore effects on root growth and biomass production on soils with pronounced sub-soil clay accumulation," Ecological Modelling, Elsevier, vol. 256(C), pages 6-15.
    3. Kuhn, Till & Schäfer, David & Holm-Müller, Karin & Britz, Wolfgang, 2019. "On-farm compliance costs with the EU-Nitrates Directive: A modelling approach for specialized livestock production in northwest Germany," Agricultural Systems, Elsevier, vol. 173(C), pages 233-243.
    4. Bernd Lengers & Wolfgang Britz & Karin Holm-Müller, 2014. "What Drives Marginal Abatement Costs of Greenhouse Gases on Dairy Farms? A Meta-modelling Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 65(3), pages 579-599, September.
    5. Till Kuhn, 2017. "The revision of the German Fertiliser Ordinance in 2017," Discussion Papers 262054, University of Bonn, Institute for Food and Resource Economics.
    6. Case, S.D.C. & Oelofse, M. & Hou, Y. & Oenema, O. & Jensen, L.S., 2017. "Farmer perceptions and use of organic waste products as fertilisers – A survey study of potential benefits and barriers," Agricultural Systems, Elsevier, vol. 151(C), pages 84-95.
    7. Srivastava, Amit Kumar & Mboh, Cho Miltin & Gaiser, Thomas & Kuhn, Arnim & Ermias, Engida & Ewert, Frank, 2019. "Effect of mineral fertilizer on rain water and radiation use efficiencies for maize yield and stover biomass productivity in Ethiopia," Agricultural Systems, Elsevier, vol. 168(C), pages 88-100.
    8. Purola, Tuomo & Lehtonen, Heikki & Liu, Xing & Tao, Fulu & Palosuo, Taru, 2018. "Production of cereals in northern marginal areas: An integrated assessment of climate change impacts at the farm level," Agricultural Systems, Elsevier, vol. 162(C), pages 191-204.
    9. Schönhart, Martin & Schauppenlehner, Thomas & Schmid, Erwin & Muhar, Andreas, 2011. "Integration of bio-physical and economic models to analyze management intensity and landscape structure effects at farm and landscape level," Agricultural Systems, Elsevier, vol. 104(2), pages 122-134, February.
    10. Mack, Gabriele & Huber, Robert, 2017. "On-farm compliance costs and N surplus reduction of mixed dairy farms under grassland-based feeding systems," Agricultural Systems, Elsevier, vol. 154(C), pages 34-44.
    11. Özkan Gülzari, Şeyda & Åby, Bente Aspeholen & Persson, Tomas & Höglind, Mats & Mittenzwei, Klaus, 2017. "Combining models to estimate the impacts of future climate scenarios on feed supply, greenhouse gas emissions and economic performance on dairy farms in Norway," Agricultural Systems, Elsevier, vol. 157(C), pages 157-169.
    12. Schäfer, David & Britz, Wolfgang & Kuhn, Till, 2017. "Flexible Load of Existing Biogas Plants: A Viable Option to Reduce Environmental Externalities and to Provide Demand driven Electricity?," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 66(2), June.
    13. Belhouchette, Hatem & Louhichi, Kamel & Therond, Olivier & Mouratiadou, Ioanna & Wery, Jacques & Ittersum, Martin van & Flichman, Guillermo, 2011. "Assessing the impact of the Nitrate Directive on farming systems using a bio-economic modelling chain," Agricultural Systems, Elsevier, vol. 104(2), pages 135-145, February.
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    3. Linmei Shang & Jifeng Wang & David Schäfer & Thomas Heckelei & Juergen Gall & Franziska Appel & Hugo Storm, 2024. "Surrogate modelling of a detailed farm‐level model using deep learning," Journal of Agricultural Economics, Wiley Blackwell, vol. 75(1), pages 235-260, February.
    4. Ombretta Paladino & Marco Massabò & Edoardo Gandoglia, 2020. "Assessment of Nitrate Hazards in Umbria Region (Italy) Using Field Datasets: Good Agriculture Practices and Farms Sustainability," Sustainability, MDPI, vol. 12(22), pages 1-26, November.
    5. Freytag, J. & Britz, W. & Kuhn, T., 2023. "The economic potential of organic production for stockless arable farms importing biogas digestate: A case study analysis for western Germany," Agricultural Systems, Elsevier, vol. 209(C).
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