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Integrated modelling of efficient crop management strategies in response to economic damage potentials of the Western Corn Rootworm in Austria

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  • Feusthuber, Elisabeth
  • Mitter, Hermine
  • Schönhart, Martin
  • Schmid, Erwin

Abstract

The spread of the Western Corn Rootworm (WCR; Diabrotica virgifera virgifera) challenges farmers in intensive maize production regions. We model efficient crop management strategies in response to economic damage potentials of the invasive WCR in Austria. A spatially explicit integrated modelling framework has been developed to calculate economic damage potentials from maize yield losses for a past (1975–2005) and a future (2010–2040) period with climate change. The economic damage potentials determine the choice of efficient crop management strategies considering insecticide applications, crop rotations with gradual maize limitations, fertilization intensities and irrigation. The integrated modelling framework includes the crop rotation model CropRota, the bio-physical process model EPIC, and the non-linear land use optimization model BiomAT. Typical crop rotations are simulated by CropRota at the municipality level. They are input to EPIC to simulate crop yields at the 1km pixel resolution, which are part of the gross margin calculations entering BiomAT. Results of economic damage potentials with a 10% maize yield loss range between 3€/ha and 180€/ha, depending on the location, and increase to between 14€/ha and 903€/ha at 50% maize yield loss. The analysis of economic damage potentials shows a high regional variability. Moreover, the model results show that a decrease in maize shares combined with moderate fertilization levels is more efficient for WCR control than insecticide use. However, further crop management strategies have to be developed in order to reduce maize yield and economic losses.

Suggested Citation

  • Feusthuber, Elisabeth & Mitter, Hermine & Schönhart, Martin & Schmid, Erwin, 2017. "Integrated modelling of efficient crop management strategies in response to economic damage potentials of the Western Corn Rootworm in Austria," Agricultural Systems, Elsevier, vol. 157(C), pages 93-106.
    • Handle: RePEc:eee:agisys:v:157:y:2017:i:c:p:93-106
    DOI: 10.1016/j.agsy.2017.07.011
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    1. Wolfram Schlenker & Michael J. Roberts, 2006. "Nonlinear Effects of Weather on Corn Yields," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 28(3), pages 391-398.
    2. Wesseler, Justus & Fall, El Hadji, 2010. "Potential damage costs of Diabrotica virgifera virgifera infestation in Europe – the “no control” Scenario," MPRA Paper 33231, University Library of Munich, Germany.
    3. Stallman, Heidi R. & James, Harvey S., 2015. "Determinants affecting farmers' willingness to cooperate to control pests," Ecological Economics, Elsevier, vol. 117(C), pages 182-192.
    4. Heckelei, Thomas & Britz, Wolfgang & Zhang, Yinan, 2012. "Positive Mathematical Programming Approaches – Recent Developments in Literature and Applied Modelling," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 1(1), pages 1-16, April.
    5. Richard E. Howitt, 1995. "Positive Mathematical Programming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(2), pages 329-342.
    6. Szalai, Márk & Kiss, József & Kövér, Szilvia & Toepfer, Stefan, 2014. "Simulating crop rotation strategies with a spatiotemporal lattice model to improve legislation for the management of the maize pest Diabrotica virgifera virgifera," Agricultural Systems, Elsevier, vol. 124(C), pages 39-50.
    7. David Pimentel, 2005. "‘Environmental and Economic Costs of the Application of Pesticides Primarily in the United States’," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 7(2), pages 229-252, June.
    8. Franziska Strauss & Erwin Schmid & Elena Moltchanova & Herbert Formayer & Xiuying Wang, 2012. "Modeling climate change and biophysical impacts of crop production in the Austrian Marchfeld Region," Climatic Change, Springer, vol. 111(3), pages 641-664, April.
    9. Christine Heumesser & Sabine Fuss & Jana Szolgayová & Franziska Strauss & Erwin Schmid, 2012. "Investment in Irrigation Systems under Precipitation Uncertainty," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(11), pages 3113-3137, September.
    10. 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.
    11. Carrasco, L. Roman & Cook, David & Baker, Richard & MacLeod, Alan & Knight, Jon D. & Mumford, John D., 2012. "Towards the integration of spread and economic impacts of biological invasions in a landscape of learning and imitating agents," Ecological Economics, Elsevier, vol. 76(C), pages 95-103.
    12. Finnoff, David & Shogren, Jason F. & Leung, Brian & Lodge, David, 2007. "Take a risk: Preferring prevention over control of biological invaders," Ecological Economics, Elsevier, vol. 62(2), pages 216-222, April.
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    Cited by:

    1. Schönhart, Martin & Trautvetter, Helene & Parajka, Juraj & Blaschke, Alfred Paul & Hepp, Gerold & Kirchner, Mathias & Mitter, Hermine & Schmid, Erwin & Strenn, Birgit & Zessner, Matthias, 2018. "Modelled impacts of policies and climate change on land use and water quality in Austria," Land Use Policy, Elsevier, vol. 76(C), pages 500-514.
    2. Mitter, Hermine & Schmid, Erwin, 2019. "Computing the economic value of climate information for water stress management exemplified by crop production in Austria," Agricultural Water Management, Elsevier, vol. 221(C), pages 430-448.
    3. Bernadette Kropf & Hermine Mitter & Martin Schönhart & Erwin Schmid, 2019. "Wahrnehmungen und Erfahrungen von Landwirtinnen und Landwirten in SüdostÖsterreich zu betrieblichen und regionalen Maßnahmen zur Regulierung des Westlichen Maiswurzelbohrers," Working Papers 742019, Institute for Sustainable Economic Development, Department of Economics and Social Sciences, University of Natural Resources and Life Sciences, Vienna.

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