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|
|Date of revision:|
|Contact details of provider:|| Postal: |
Phone: +43 1 47654 3670
Fax: +43 1 47654 3692
Web page: http://www.wiso.boku.ac.at/
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
- Salvatore Di Falco & Charles Perrings, 2004.
"Crop Biodiversity, Risk Management and the Implications of Agricultural Assistance,"
0084, National University of Ireland Galway, Department of Economics, revised 2004.
- Di Falco, Salvatore & Perrings, Charles, 2005. "Crop biodiversity, risk management and the implications of agricultural assistance," Ecological Economics, Elsevier, vol. 55(4), pages 459-466, December.
- Mitchell, P. L., 1997. "Misuse of regression for empirical validation of models," Agricultural Systems, Elsevier, vol. 54(3), pages 313-326, July.
- 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.
- 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.
- Detlefsen, Nina K. & Jensen, Allan Leck, 2007. "Modelling optimal crop sequences using network flows," Agricultural Systems, Elsevier, vol. 94(2), pages 566-572, May.
When requesting a correction, please mention this item's handle: RePEc:sed:wpaper:452009. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Eva Krickler)
If references are entirely missing, you can add them using this form.