CropRota – A Model to Generate Optimal Crop Rotations from Observed Land Use
Crop rotations are an important factor for the design and implementation of sustainable agricultural systems. Integrated agricultural land use models increasingly acknowledge the role of crop rotations by assessing economic and environmental impacts of agricultural production systems. However, insufficient data on crop rotations often challenge their implementation. In this article, we present the crop rotation optimization model CropRota. CropRota integrates agronomic criteria and historical crop mixes at field, farm, or regional scales in order to generate optimal crop rotations for the particular scale. The article describes model structure, empirical crop mix data, and its application and validation for a case study region in Austria. Model calibration and sensitivity analysis are conducted to emphasize the importance of sound expert judgments on assumptions about crop rotations. The comparison of model results against seven years of field survey data from 579 farms in the Mostviertel region of Austria indicates that CropRota is suitable and reliable in modeling typical crop rotations. A model approach based on calibrated model parameters delivered weighted deviations of modeled and observed crop sequences of around 10% for the most important two-crop sequences covering 50% of total crop lands in the region.
|Date of creation:||Jul 2009|
|Contact details of provider:|| Postal: Gregor-Mendel Straße 33, A-1180 Wien|
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- Janssen, Sander & van Ittersum, Martin K., 2007. "Assessing farm innovations and responses to policies: A review of bio-economic farm models," Agricultural Systems, Elsevier, vol. 94(3), pages 622-636, June.
- Di Falco, Salvatore & Perrings, Charles, 2005.
"Crop biodiversity, risk management and the implications of agricultural assistance,"
Elsevier, vol. 55(4), pages 459-466, December.
- Salvatore Di Falco & Charles Perrings, 2004. "Crop Biodiversity, Risk Management and the Implications of Agricultural Assistance," Working Papers 0084, National University of Ireland Galway, Department of Economics, revised 2004.
- Detlefsen, Nina K. & Jensen, Allan Leck, 2007. "Modelling optimal crop sequences using network flows," Agricultural Systems, Elsevier, vol. 94(2), pages 566-572, May.
- Mitchell, P. L., 1997. "Misuse of regression for empirical validation of models," Agricultural Systems, Elsevier, vol. 54(3), pages 313-326, July.
- Vavra, Pavel & Colman, David, 2003. "The analysis of UK crop allocation at the farm level: implications for supply response analysis," Agricultural Systems, Elsevier, vol. 76(2), pages 697-713, May.
- Castellazzi, M.S. & Wood, G.A. & Burgess, P.J. & Morris, J. & Conrad, K.F. & Perry, J.N., 2008. "A systematic representation of crop rotations," Agricultural Systems, Elsevier, vol. 97(1-2), pages 26-33, April.
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