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Article Dans Une Revue Agricultural Systems Année : 2005

Assessing the irrigation strategies over a wide geographical area from structural data about farming systems.

Résumé

Accurate estimation of regional water demand by agriculture, mainly consumed by farmers for irrigation, is a key requirement for water management. It depends on the farmers’ irrigation practices which itself depend on the farmers’ irrigation strategies. Describing irrigation strategies over a region is rather difficult due to the large number and the diversity of farmers. We seek whether it is possible to characterise irrigation strategies from easily accessible farm characteristics data at the regional scale. For that purpose, we investigated the relationships between maize irrigation strategies and three farming sub-systems: the production system, the water resource system and the irrigation equipment system. Based on a 56-farmers survey of maize irrigation strategies carried out in two different areas in south-western France, we firstly created typologies from the three farming sub-systems and from irrigation strategies and, in a second step, analysed the links between the different typologies. Multivariate analyses, cluster analyses, linear regressions and regression trees were used for that purpose. Only two types of irrigation strategies were found that could not be fully explained by the three sub-systems typologies. However, the theoretical irrigation capacity explains a part of the irrigation strategies. Such data can be obtained at a wide geographical scale from administrative data bases. Strategic management of irrigation is similar amongst farmers in a given area while more operational actions differ from farmer to farmer. Standardisation of strategies due to county-based advice is then discussed.

Dates et versions

hal-02679606 , version 1 (31-05-2020)

Identifiants

Citer

Laure Maton, Delphine D. Burger-Leenhardt, Goulard Michel, Jacques-Eric J.-E. Bergez. Assessing the irrigation strategies over a wide geographical area from structural data about farming systems.. Agricultural Systems, 2005, 86 (3), pp.293-311. ⟨10.1016/j.agsy.2004.09.010⟩. ⟨hal-02679606⟩
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