Skip to main content

Global Change Impacts on Agricultural Land Use in the German Baltic Sea Catchment Area

  • Chapter
  • First Online:
Global Change and Baltic Coastal Zones

Part of the book series: Coastal Research Library ((COASTALRL,volume 1))

Abstract

Global and Climate Change influence agricultural land use and production and, therefore, nutrient emissions into the Baltic Sea. The past development of agricultural land use and nutrient balances in German counties of the German Baltic Sea catchment are discussed. Crop yield estimations for winter wheat are made depending on historical data and on climatic parameters of Climate Change projections. Simulations with the agricultural sector model RAUMIS (Regional Agricultural and Environmental Information System for Germany) are conducted for the year 2020 to estimate the effects of differences in crop yields, as well as effects of the European Common Agricultural Policy and national regulations on agricultural land use. Results show that crop yields will increase on average until 2020, whereas under Climate Change yields increase less strongly with the exception of maize yields. Energy crops will be increasingly cultivated due to the current promotion of renewable energies. Altogether, decreasing nitrogen surpluses from agriculture can be expected. However, Climate Change and the cultivation of energy crops will lead to a less strong decline of nitrogen surpluses in the German Baltic Sea catchment area.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Estimations are based on results from the LandCaRe project described in Köstner et al. (2009).

References

  • ATKIS (2003) Bundesamt für Kartographie und Geodäsie, Digitales Basislandschaftsmodell (Basis-DLM), 2003

    Google Scholar 

  • Chantreuil F, Hanrahan K, Levert F (2005) The Luxembourg agreement reform of the CAP: An analysis using the AG-MEMOD composite model. In: 89th EAAE seminar: Modelling agricultural policies: state of the art and new challenges, 3–5 February 2005–Parma

    Google Scholar 

  • Cypris C (2000) Positive mathematische Programmierung (PMP) im Agrarsektormodell RAUMIS. Schriftenreihe der Forschungsgesellschaft für Agrarpolitik und Agrarsoziologie e.V. Bd. 313. Dissertation University of Bonn, Bonn

    Google Scholar 

  • Elofsson K (2003) Cost-effective reductions of stochastic agricultural loads to the Baltic Sea. Ecol Econ 47:13–31

    Article  Google Scholar 

  • EU Commission (1991) Council Directive 91/676/EEC of 12 December 1991 concerning the protection of waters against pollution caused by nitrates from agricultural sources

    Google Scholar 

  • EU Commission (2000) Directive 2000/60/EG of the European Parliament and of the Council of 23 October 2000 establishing a framework for Community action in the field of water policy

    Google Scholar 

  • European Commission (2003a) Council regulation (EC) No 1782/2003 of 29 September 2003 establishing common rules for direct support schemes under the common agricutural policy and establishing certain support schemes for farmers. OJ L 270, 21.10.2003.

    Google Scholar 

  • European Commission (2003b) Council regulation (EC) No 1784/2003 of 29 September 2003 on the common organisation of the market in cereals. OJ L 270/78, 21.10.2003

    Google Scholar 

  • European Commission (2003c) Council Regulation (EC) No 1787/2003 of 29 September 2003 amending Regulation (EC) No 1255/1999 on the common organisation of the market in milk and milk products. OJ L 270, 21.10.2003

    Google Scholar 

  • FAPRI (2009) FAPRI 2009 U.S. and World Agricultural Outlook. http://www.fapri.iastate.edu/outlook/2009/text/OutlookPub2009.pdf (quoted 31.05.2010)

  • Gömann H, Kreins P, Heidecke C (2010) How global conditions impact regional agricultural production and nitrogen surpluses in the German Elbe River Basin. Reg Environ Change. Published online: DOI 10.1007/s10113-010-0198-1

    Google Scholar 

  • Gömann H, Kreins P, Julius C, Wechsung F (2003) Landwirtschaft unter dem Einfluss des globalen Wandels sowie sich ändernde gesellschaftliche Anforderungen: interdisziplinäre Untersuchung künftiger Landnutzungsänderungen und resultierender Umwelt- und sozioökonomischer Aspekte. Schr Gesellsch Wirtsch Sozialwiss Landbaues 39:201–208

    Google Scholar 

  • Gömann H, Kreins P, Kunkel R, Wendland F (2004) Model based impact analysis of policy options aiming at reducing diffuse pollution by agriculture – a case study for the river Ems and a sub-catchment of the Rhine. Environ Modell Softw 20(2):261–271

    Article  Google Scholar 

  • Granstedt A, Seuri P, Thomsson O (2004) Effective recycling agriculture around the Baltic Sea. Background report. Ecological Agriculture 41. Centre for Sustainable Agriculture. Swedish University of Agricultural Sciences, Sweden

    Google Scholar 

  • Gren I-M, Söderqvist T, Wulff F (1997) Nutrient Reductions to the Baltic Sea: Ecology, Costs and Benefits. J Environ Manage 51:123–143

    Article  Google Scholar 

  • Hall HJ, Beng P, Mice C (2003) Global warming and the demand for water. Water EnvironJ 17:157–61

    Article  Google Scholar 

  • Hanus H (1997) Klima und Witterung als Standortfaktoren. In: Keller ER et al (eds) Handbuch des Pflanzenbaues. Band 1: Grundlagen der landwirtschaftlichen Pflanzenproduktion. Stuttgart, Ulmer, pp 105–10

    Google Scholar 

  • Henrichsmeyer W, Cypris C, Löhe W, Meudt M, Sander R, von Sothen F, Isermeyer F, Schefski A, Schleef K-H, Neander E, Fasterding F, Helmcke B, Neumann M, Nieberg H, Manegold D, Meier T (1996) Entwicklung eines gesamtdeutschen Agrarsektormodells RAUMIS96. Endbericht zum Kooperationsprojekt. Forschungsbericht für das BML (94 HS 021), vervielfältigtes Manuskript Bonn/Braunschweig

    Google Scholar 

  • Howitt RE (1995) Positive Mathematical Programming. Am J Agr Econ 77(2):329–342

    Article  Google Scholar 

  • Hoymann J (2010) Accelerating urban sprawl in depopulating regions: a scenario analysis for the Elbe River Basin. Reg Environ Change. doi:10.1007/s10113–010–0120–x

    Google Scholar 

  • IPCC (2007) Climate change 2007: Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge

    Google Scholar 

  • Köstner B, Bernhofer C, Anter J, Berg M, Franke J, Gömann H, Kersebaum KC, Kreins P, Kuhnert M, Lindau R, Manderscheid R, Mengelkamp HT, Mirschel W, Nendel C, Nozinski E, Richwien M, Pätzold A, Simmer C, Stonner R, Weigel HJ, Wenkel KO, Wieland R (2009) Anpassung ländlicher Räume an regionale Klimaänderungen – die Wissensplattform LandCaRe-DSS. In: Mahammadzadeh M, Biebeler H, Bard H (eds) Klimaschutz und Anpassung an die Klimafolgen: Strategien, Maßnahmen und Anwendungsbeispiele. Institut der deutschen Wirtschaft Köln Medien GmbH, Köln, pp 295–301

    Google Scholar 

  • Kreins P, Behrendt H, Gömann H, Heidecke C, Hirt U, Kunkel R, Seidel K, Tetzlaff B, Wendland F (2010) Analyse von Agrar- und Umweltmaßnahmen im Bereich des landwirtschaftlichen Gewässerschutzes vor dem Hintergrund der EG-Wasserrahmenrichtlinie in der Flussgebietseinheit Weser. Landbauforschung – vTI agriculture and forestry research: Sonderheft 336, Braunschweig

    Google Scholar 

  • Kreins P, Gömann H (2008) Modellgestützte Abschätzung der regionalen landwirtschaftlichen Landnutzung und Produktion in Deutschland vor dem Hintergrund der “Gesundheitsüberprüfung” der GAP. Agrarwirtschaft 57(3–4):195–206

    Google Scholar 

  • Kreins P, Gömann H, Herrmann S, Kunkel R, Wendland F (2007) Integrated agricultural and hydrological modeling within an intensive livestock region. Advances in the Economics of Environmental Resources 7:113–142

    Article  Google Scholar 

  • Mewes M (2006) Die volkswirtschaftlichen Kosten einer Stoffausträge in die Ostsee minimierenden Landnutzung. Dissertation Universität Greifswald. Shaker Verlag, Aachen

    Google Scholar 

  • Offermann F, Gömann H, Kleinhanß W, Kreins P, von Ledebur O, Osterburg B, Pelikan J, Salamon P, Sanders J (2010) vTI-Baseline 2009–2019: Agrarökonomische Projektionen für Deutschland. Landbauforschung Völkenrode Special issue Nr. 333. Braunschweig

    Google Scholar 

  • PARCOM (Paris-Konvention zur Verhütung der Meeresverschmutzung) (1993) Dritte Sitzung der Ad-hoc-Arbeitsgruppe zur Reduzierung der Nährstoffeinträge aus der Landwirtschaft – Anlage 1: PARCOM-Richtlinien für die Berechnung von Mineralbilanzen

    Google Scholar 

  • Rosegrant MW, Cline SA (2003) Global food security: challenges and policies. Science 302(5652):1917–1919

    Article  Google Scholar 

  • Rosenzweig C, Parry ML (1994) Potential impact of climate change on world food supply. Nature 367:133–138

    Article  Google Scholar 

  • Rust I (2006) Aktualisierung der Bodenschätzung unter Berücksichtigung klimatischer Bedingungen. Georg-August-Universität Göttingen, Fakultät der Agrarwissenschaften

    Google Scholar 

  • Salamon P, Chantreuil F, Donnellan T, Erjavec E, Esposti R, Hanrahan K, van Leeuwen M, Bouma F, Dol W, Salputra G (2008) How to deal with the challenges of linking a large number of individual national models: the case of the AGMEMOD Partnership. Agrarwirtschaft 57:8

    Google Scholar 

  • SAS (1985) SAS user’s guide: statistics, 5th edn. SAS Institute Inc, Cary, NC.

    Google Scholar 

  • Statistisches Bundesamt (2008) Land- und Forstwirtschaft, Fischerei 2007, Fachserie 3. Wiesbaden, Germany

    Google Scholar 

  • Umweltbundesamt (2010a) Die Ostsee. Internetreference: http://www.umweltbundesamt.de/wasser/themen/stoffhaushalt/sseidm/ssm21.htm (last updated: 16.11.2005)

  • Umweltbundesamt (2010b) Gewässerschutz mit der Landwirtschaft. Umweltbundesamt, Germany

    Google Scholar 

Download references

Acknowledgments

Research in this paper is based on results from the project RADOST (Regional Adaption Strategies for the German Baltic Sea Coast) which is part of the KLIMZUG consortium and funded by the Federal Ministry of Education and Research of Germany (BMBF) under grant no. 01LR08071.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Claudia Heidecke .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer Science+Business Media B.V.

About this chapter

Cite this chapter

Heidecke, C., Kreins, P., Stonner, R., Gömann, H. (2011). Global Change Impacts on Agricultural Land Use in the German Baltic Sea Catchment Area. In: Schernewski, G., Hofstede, J., Neumann, T. (eds) Global Change and Baltic Coastal Zones. Coastal Research Library, vol 1. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-0400-8_5

Download citation

Publish with us

Policies and ethics