Adaptive optimization of crop production and nitrogen leaching abatement under yield uncertainty
The study develops a bio-economic crop management model that internalizes the environmental cost of nitrate pollution, accounts for stochastic weather, and includes an option for split fertilization. The integrated model is designed to indicate whether a producer can benefit from applying fertilizer several times during the growing season, in response to crop needs, rather than a single time, at sowing. The model is parameterized for the cultivation of spring malting barley (Hordeum vulgare L.) in Southern Finland. The costs of negative externalities from nitrogen leaching are internalized in the landowner's decision problem through a pollution tax. The results indicate that without a pollution tax a single application of fertilizer gauged to meet the needs of the entire season is optimal. With a tax, the benefits of split application - applying varying amounts of fertilizer at selected stages of the growing season - increase significantly. In comparison to a single application of fertilizer at sowing, split fertilization improves yields, increases the total amount of fertilizer used, and reduces nitrogen leaching.
References listed on IDEAS
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.:
- Thorp, K.R. & Batchelor, W.D. & Paz, J.O. & Steward, B.L. & Caragea, P.C., 2006. "Methodology to link production and environmental risks of precision nitrogen management strategies in corn," Agricultural Systems, Elsevier, vol. 89(2-3), pages 272-298, September.
- Meyer-Aurich, Andreas & Weersink, Alfons & Gandorfer, Markus & Wagner, Peter, 2010. "Optimal site-specific fertilization and harvesting strategies with respect to crop yield and quality response to nitrogen," Agricultural Systems, Elsevier, vol. 103(7), pages 478-485, September.
- Reidsma, Pytrik & Ewert, Frank & Boogaard, Hendrik & Diepen, Kees van, 2009. "Regional crop modelling in Europe: The impact of climatic conditions and farm characteristics on maize yields," Agricultural Systems, Elsevier, vol. 100(1-3), pages 51-60, April.
- Steven S. Vickner & Dana L. Hoag & W. Marshall Frasier & James C. Ascough, 1998. "A Dynamic Economic Analysis of Nitrate Leaching in Corn Production under Nonuniform Irrigation Conditions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(2), pages 397-408.
- Rajsic, Predrag & Weersink, Alfons, 2008. "Do farmers waste fertilizer? A comparison of ex post optimal nitrogen rates and ex ante recommendations by model, site and year," Agricultural Systems, Elsevier, vol. 97(1-2), pages 56-67, April.
- Li, MengBo & Yost, R. S., 2000. "Management-oriented modeling: optimizing nitrogen management with artificial intelligence," Agricultural Systems, Elsevier, vol. 65(1), pages 1-27, July.
- Zacharias, Thomas P & Huh, Moo Y & Brandon, D Marlin, 1990. "Information in a Dynamic Management Model: An Application to Plant-Tissue Analysis and Fertilisation Scheduling," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 17(1), pages 85-97.
- Yolanda Martinez & Elena Calvo & Jose Albiac, 2007. "A dynamic analysis of nonpoint pollution control instruments in agriculture," International Journal of Agricultural Resources, Governance and Ecology, Inderscience Enterprises Ltd, vol. 6(1), pages 60-78.
- Berntsen, J. & Petersen, B. M. & Jacobsen, B. H. & Olesen, J. E. & Hutchings, N. J., 2003. "Evaluating nitrogen taxation scenarios using the dynamic whole farm simulation model FASSET," Agricultural Systems, Elsevier, vol. 76(3), pages 817-839, June.
- Predrag Rajsic & Alfons Weersink & Markus Gandorfer, 2009. "Risk and Nitrogen Application Levels," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 57(2), pages 223-239, 06.
When requesting a correction, please mention this item's handle: RePEc:eee:agisys:v:104:y:2011:i:8:p:634-644. 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: (Zhang, Lei)
If references are entirely missing, you can add them using this form.