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Sustainability of European Irrigated Agriculture under Water Framework Directive and Agenda 2000

Sustainability of European Irrigated Agriculture under Water Framework Directive and Agenda 2000

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OVERVIEW<br />

measure the impact <strong>of</strong> farmer’s decisions on quality <strong>of</strong> groundwater we consider nitrogen<br />

balance as a ‘means-based’ measure, while nitrate lost to groundwater is ‘effect-based’.<br />

Although the link is indirect, our model attempts to acquire an <strong>under</strong>st<strong>and</strong>ing <strong>of</strong> the pressures<br />

involved, <strong>and</strong> the conversion <strong>of</strong> this pressures to ecosystem impact would require a complex<br />

multidisciplinary model that lies out <strong>of</strong> the scope <strong>of</strong> our research.<br />

The aim <strong>of</strong> this section is to select a limited number <strong>of</strong> parameters that can be fed into the<br />

mathematical models in order to evaluate the impact on irrigated agriculture <strong>of</strong> various policy<br />

scenarios. The model uses the following subset <strong>of</strong> OECD sustainability indicators (OECD, 2001;<br />

Pierr, 2003).<br />

We finally selected the following list:<br />

· Economic balance: Farm income, Farm, Contribution to GDP, Public<br />

support.<br />

· Social impact: Farm employment, Seasonality.<br />

· L<strong>and</strong>scape <strong>and</strong> biodiversity: Genetic diversity, Soil cover.<br />

· <strong>Water</strong> use: Irrigation technology, <strong>Water</strong> use, Marginal value <strong>of</strong> water.<br />

· Nutrients <strong>and</strong> pollutants: Nitrogen balance, Pesticide risk, Energy<br />

balance.<br />

Chapter 5 explains in more detail how these parameters were computed, <strong>and</strong> this is a point<br />

where we benefit from the use <strong>of</strong> the multicriteria paradigm as this defines its concepts into a<br />

model that we can review.<br />

5.4. Policy scenarios<br />

A wide range <strong>of</strong> methodologies may be utilised to build a model to simulate various<br />

scenarios, <strong>and</strong> reviews <strong>of</strong> such processes can be found elsewhere. Mathematical programming<br />

has been widely used for this purpose, <strong>and</strong> is frequently used for policy simulation. Examples<br />

<strong>of</strong> the use by the <strong>European</strong> Commission <strong>of</strong> agricultural sector modelling for medium-term<br />

forecasting <strong>and</strong> system simulation based on mathematical programming can be found in<br />

<strong>European</strong> Commission (<strong>2000</strong>, 2001) <strong>and</strong> Heckelei <strong>and</strong> Britz (2001), which is an example <strong>of</strong><br />

how a model can be used as a tool for generating medium-term projections for the agricultural<br />

sectors <strong>of</strong> EU member states <strong>and</strong> the impact <strong>of</strong> alternative CAP scenarios.<br />

In any case, as we explain in depth in chapter 3, scenario definition is another key aspect <strong>of</strong><br />

the Wadi project. These scenarios reflect both the future implementation <strong>of</strong> the WFD <strong>and</strong> the<br />

foreseeable development <strong>of</strong> the CAP. As has been commented above, the WFD requires<br />

member states to introduce water prices that integrate the “polluter pays principle” (PPP);<br />

thus, raising the price will induce the user to make more rational use <strong>of</strong> water. Thus, different<br />

scenarios will suggest different degrees <strong>of</strong> cost recovery. Along the same lines, future CAP<br />

reforms should be taken into account in the characterization <strong>of</strong> these scenarios.<br />

5.5. Methodological approach summary<br />

Table 2.1 summarises our approach versus classical modelling techniques.<br />

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