Impact of farming on water resources: Assessing uncertainty with Monte Carlo simulations in a global change context
Most of the hydro-economic models used for assessing the environmental impact of agricultural policies are deterministic and can only reflect uncertainties through analyses of scenarios. In this article, we propose a methodology to assess uncertainty using Monte Carlo simulations. Taking three different global change scenarios, we vary economic parameters liable to influence the future of agriculture within each scenario. The simulations are based on farming models developed for two French regions (Midi-Pyrénées and Alsace), using linear programming (LP). These are used to simulate the impacts of a “business as usual”, “liberal” and “interventionist” scenario, on water abstraction for irrigation (Neste basin) and on nitrate leaching into groundwater (Alsace). The simulations all predict a drop in farm income in both regions, with a stronger effect in the liberal scenario. Water consumed in the Neste basin increases a little (+0.3 to +3.7% in the interventionist scenario). A slight decrease of agricultural nitrate leaching is observed in Alsace, with nearly no difference between the averages for the three scenarios. Considering all Monte Carlo simulations the nitrate leaching should decrease between −28% and −43%, so uncertainty is not very important from the water planning and management point of view. However, the uncertainty on incomes is greater. A comparison between the Monte Carlo results and those from the deterministic approach demonstrates the value of taking uncertainties into account in foresight modelling exercises; and suggest that Monte Carlo associated to LP is a partial response to classical criticism addressed towards basic LP.
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- Haruvy, Nava & Hadas, A. & Hadas, Aviva, 1997. "Cost assessment of various means of averting environmental damage and groundwater contamination from nitrate seepage," Agricultural Water Management, Elsevier, vol. 32(3), pages 307-320, March.
- Topp, C. F. E. & Mitchell, M., 2003. "Forecasting the environmental and socio-economic consequences of changes in the Common Agricultural Policy," Agricultural Systems, Elsevier, vol. 76(1), pages 227-252, April.
- Richard E. Howitt, 1995. "Positive Mathematical Programming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(2), pages 329-342.
- Heckelei, Thomas & Britz, Wolfgang, 2005. "Models Based on Positive Mathematical Programming: State of the Art and Further Extensions," 89th Seminar, February 2-5, 2005, Parma, Italy 234607, European Association of Agricultural Economists.
- Kobrich, C. & Rehman, T. & Khan, M., 2003. "Typification of farming systems for constructing representative farm models: two illustrations of the application of multi-variate analyses in Chile and Pakistan," Agricultural Systems, Elsevier, vol. 76(1), pages 141-157, April.
- 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.
- Vatn, Arild & Bakken, Lars & Botterweg, Peter & Romstad, Eirik, 1999. "ECECMOD: an interdisciplinary modelling system for analyzing nutrient and soil losses from agriculture," Ecological Economics, Elsevier, vol. 30(2), pages 189-206, August.
- Meyer-Aurich, Andreas & Truggelmann, Lothar, 2002. "Finding the optimal balance between economical and ecological demands on agriculture – research results and model calculations for a Bavarian experimental farm," 2002 Conference (46th), February 13-15, 2002, Canberra 125139, Australian Agricultural and Resource Economics Society.
- Bartolini, F. & Bazzani, G.M. & Gallerani, V. & Raggi, M. & Viaggi, D., 2007. "The impact of water and agriculture policy scenarios on irrigated farming systems in Italy: An analysis based on farm level multi-attribute linear programming models," Agricultural Systems, Elsevier, vol. 93(1-3), pages 90-114, March.
- Henseler, Martin & Wirsig, Alexander & Herrmann, Sylvia & Krimly, Tatjana & Dabbert, Stephan, 2009. "Modeling the impact of global change on regional agricultural land use through an activity-based non-linear programming approach," Agricultural Systems, Elsevier, vol. 100(1-3), pages 31-42, April.
- Schwabe, Kurt A., 2000. "Modeling state-level water quality management: the case of the Neuse River Basin," Resource and Energy Economics, Elsevier, vol. 22(1), pages 37-62, January.