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Exploring regional irrigation water demand using typologies of farms and production units: An example from Tunisia

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  • Poussin, J.C.
  • Imache, A.
  • Beji, R.
  • Le Grusse, P.
  • Benmihoub, A.

Abstract

Most methods used to predict irrigation water consumption at a regional scale are based on biophysical models and cropping patterns. Their aim is to provide accurate estimations of "water demand" that are useful for water resource management. However, in the case of free access to the water resource, for example pumping from a water table, it is only possible to prevent overexploitation by "managing" the demand for water, which thus needs to focus on farmers' choices and behavior. In this paper, we propose a framework to represent agricultural activities using typologies of farms and production units aggregated at a regional scale. The framework can be used to estimate consumption of irrigation water and of other inputs, as well as the production of outputs. The framework can also be used to evaluate the effects of technical, economic or institutional changes on farm income, and to predict the consequences of changes for farmers' choices at regional scale. We used this method in Central Tunisia to estimate irrigation water demand in 1999. We then simulated the changes that would occur if drip irrigation were adopted. The results of the simulation showed some savings in water and in labor, and, with fertigation, an increase in yields. Using drip irrigation would consequently enable farmers to extend the area of drip-irrigated land. We then simulated the widespread adoption of drip irrigation and the resulting extension of irrigated areas: the results showed no savings in water at the regional scale. These hypotheses were confirmed in 2005 using new typologies to estimate the new demand for irrigation water. We also simulated the effects of economic changes on farm incomes. A major increase in the cost of water affected a minority of farms, which consumed only 17% of total irrigation water, whereas a slight decrease in watermelon and melon prices affected a majority of farms, which consumed 78% of total irrigation water. Water demand management tools therefore need to focus on the effects of technical, economic, or institutional changes and on farmers' choices.

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  • Poussin, J.C. & Imache, A. & Beji, R. & Le Grusse, P. & Benmihoub, A., 2008. "Exploring regional irrigation water demand using typologies of farms and production units: An example from Tunisia," Agricultural Water Management, Elsevier, vol. 95(8), pages 973-983, August.
    • Handle: RePEc:eee:agiwat:v:95:y:2008:i:8:p:973-983
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    1. Gomez-Limon, Jose A. & Riesgo, Laura, 2004. "Irrigation water pricing: differential impacts on irrigated farms," Agricultural Economics, Blackwell, vol. 31(1), pages 47-66, July.
    2. Mateos, Luciano & Lopez-Cortijo, Ignacio & Sagardoy, Juan A., 2002. "SIMIS: the FAO decision support system for irrigation scheme management," Agricultural Water Management, Elsevier, vol. 56(3), pages 193-206, August.
    3. Robert Axelrod, 1997. "Advancing the Art of Simulation in the Social Sciences," Working Papers 97-05-048, Santa Fe Institute.
    4. Maton, L. & Leenhardt, D. & Goulard, M. & Bergez, J.-E., 2005. "Assessing the irrigation strategies over a wide geographical area from structural data about farming systems," Agricultural Systems, Elsevier, vol. 86(3), pages 293-311, December.
    5. Victoria, F.B. & Filho, J.S. Viegas & Pereira, L.S. & Teixeira, J.L. & Lanna, A.E., 2005. "Multi-scale modeling for water resources planning and management in rural basins," Agricultural Water Management, Elsevier, vol. 77(1-3), pages 4-20, August.
    6. 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.
    7. Landais, E., 1998. "Modelling farm diversity: new approaches to typology building in France," Agricultural Systems, Elsevier, vol. 58(4), pages 505-527, December.
    8. Heinemann, A. B. & Hoogenboom, G. & de Faria, R. T., 2002. "Determination of spatial water requirements at county and regional levels using crop models and GIS: An example for the State of Parana, Brazil," Agricultural Water Management, Elsevier, vol. 52(3), pages 177-196, January.
    9. Philippe Le Grusse & Hatem Belhouchette & Marjorie Le Bars & Gema Carmona & Jean Marie Attonaty, 2006. "Participative modelling to help collective decision-making in water allocation and nitrogen pollution: application to the case of the Aveyron-Lere Basin," International Journal of Agricultural Resources, Governance and Ecology, Inderscience Enterprises Ltd, vol. 5(2/3), pages 247-271.
    10. Michel Tenenhaus & Forrest Young, 1985. "An analysis and synthesis of multiple correspondence analysis, optimal scaling, dual scaling, homogeneity analysis and other methods for quantifying categorical multivariate data," Psychometrika, Springer;The Psychometric Society, vol. 50(1), pages 91-119, March.
    11. Kok Teo & T. Cheng & Xiaoqiang Cai & Xiaoqi Yang, 2005. "Preface," Annals of Operations Research, Springer, vol. 133(1), pages 17-20, January.
    12. Weatherhead, E. K. & Knox, J. W., 2000. "Predicting and mapping the future demand for irrigation water in England and Wales," Agricultural Water Management, Elsevier, vol. 43(2), pages 203-218, March.
    13. Wichelns, Dennis, 2003. "Enhancing water policy discussions by including analysis of non-water inputs and farm-level constraints," Agricultural Water Management, Elsevier, vol. 62(2), pages 93-103, September.
    14. Leenhardt, D. & Trouvat, J. -L. & Gonzales, G. & Perarnaud, V. & Prats, S. & Bergez, J. -E., 2004. "Estimating irrigation demand for water management on a regional scale: I. ADEAUMIS, a simulation platform based on bio-decisional modelling and spatial information," Agricultural Water Management, Elsevier, vol. 68(3), pages 207-232, August.
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    2. Rinaudo, Jean-Daniel & Maton, Laure & Terrason, Isabelle & Chazot, Sébastien & Richard-Ferroudji, Audrey & Caballero, Yvan, 2013. "Combining scenario workshops with modeling to assess future irrigation water demands," Agricultural Water Management, Elsevier, vol. 130(C), pages 103-112.
    3. Blanco-Gutiérrez, Irene & Varela-Ortega, Consuelo & Flichman, Guillermo, 2011. "Cost-effectiveness of groundwater conservation measures: A multi-level analysis with policy implications," Agricultural Water Management, Elsevier, vol. 98(4), pages 639-652, February.
    4. Lucie Clavel & Marie-Hélène Charron & Olivier Therond & Delphine Leenhardt, 2012. "A Modelling Solution for Developing and Evaluating Agricultural Land-Use Scenarios in Water Scarcity Contexts," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(9), pages 2625-2641, July.

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