Non-point source pollution is a cause of major concern within the European Union. This is reflected in increasing public and political focus on a more sustainable use of pesticides, as well as a reduction in diffuse pollution. Climate change will likely to lead to an even more intensive use of pesticides in the future, affecting agriculture in many ways. At the same time, the Water Framework Directive (WFD) and associated EU policies called for a “good” ecological and chemical status to be achieved for water bodies by the end of 2015, currently delayed to 2021–2027 due to a lack of efficiency in policies and timescale of resilience for hydrosystems, especially groundwater systems. Water managers need appropriate and user-friendly tools to design agro-environmental policies. These tools should help them to evaluate the potential impacts of mitigation measures on water resources, more clearly define protected areas, and more efficiently distribute financial incentives to farmers who agree to implement alternative practices. At present, a number of reports point out that water managers do not use appropriate information from monitoring or models to make decisions and set environmental action plans. In this paper, we propose an integrated and collaborative approach to analyzing changes in land use, farming systems, and practices and to assess their effects on agricultural pressure and pesticide transfers to waters. The integrated modeling of agricultural scenario (IMAS) framework draws on a range of data and expert knowledge available within areas where a pesticide action plan can be defined to restore the water quality, French “Grenelle law” catchment areas, French Water Development and Management Plan areas, etc. A so-called “reference scenario” represents the actual soil occupation and pesticide-spraying practices used in both conventional and organic farming. A number of alternative scenarios are then defined in cooperation with stakeholders, including socio-economi

Non-point source pollution is a cause of major concern within the European Union. This is reflected in increasing public and political focus on a more sustainable use of pesticides, as well as a reduction in diffuse pollution. Climate change will likely to lead to an even more intensive use of pesticides in the future, affecting agriculture in many ways. At the same time, the Water Framework Directive (WFD) and associated EU policies called for a “good” ecological and chemical status to be achieved for water bodies by the end of 2015, currently delayed to 2021–2027 due to a lack of efficiency in policies and timescale of resilience for hydrosystems, especially groundwater systems. Water managers need appropriate and user-friendly tools to design agro-environmental policies. These tools should help them to evaluate the potential impacts of mitigation measures on water resources, more clearly define protected areas, and more efficiently distribute financial incentives to farmers who agree to implement alternative practices. At present, a number of reports point out that water managers do not use appropriate information from monitoring or models to make decisions and set environmental action plans. In this paper, we propose an integrated and collaborative approach to analyzing changes in land use, farming systems, and practices and to assess their effects on agricultural pressure and pesticide transfers to waters. The integrated modeling of agricultural scenario (IMAS) framework draws on a range of data and expert knowledge available within areas where a pesticide action plan can be defined to restore the water quality, French “Grenelle law” catchment areas, French Water Development and Management Plan areas, etc. A so-called “reference scenario” represents the actual soil occupation and pesticide-spraying practices used in both conventional and organic farming. A number of alternative scenarios are then defined in cooperation with stakeholders, including socio-economic conditions for developing alternative agricultural systems or targeting mitigation measures. Our integrated assessment of these scenarios combines the calculation of spatialized environmental indicators with integrated bio-economic modeling. The latter is achieved by a combined use of Soil and Water Assessment Tool (SWAT) modeling with our own purpose-built land use generator module (Generator of Land Use version 2 (GenLU2)) and an economic model developed using General Algebraic Modeling System (GAMS) for cost-effectiveness assessment. This integrated approach is applied to two embedded catchment areas (total area of 360,000 ha) within the Charente river basin (SW France). Our results show that it is possible to differentiate scenarios based on their effectiveness, represented by either evolution of pressure (agro-environmental indicators) or transport into waters (pesticide concentrations). By analyzing the implementation costs borne by farmers, it is possible to identify the most cost-effective scenarios at sub-basin and other aggregated levels (WFD hydrological entities, sensitive areas). Relevant results and indicators are fed into a specifically designed database. Data warehousing is used to provide analyses and outputs at all thematic, temporal, or spatial aggregated levels, defined by the stakeholders (type of crops, herbicides, WFD areas, years), using Spatial On-Line Analytical Processing (SOLAP) tools. The aim of this approach is to allow public policy makers to make more informed and reasoned decisions when managing sensitive areas and/or implementing mitigation measures.

[Departement_IRSTEA]Territoires [TR1_IRSTEA]DTAM [Axe_IRSTEA]DTAM-QT2-ADAPTATION [TR2_IRSTEA]SYNERGIE | International audience | Non-point source pollution is a cause of major concern within the European Union. This is reflected in increasing public and political focus on a more sustainable use of pesticides, as well as a reduction in diffuse pollution. Climate change will likely to lead to an even more intensive use of pesticides in the future, affecting agriculture in many ways. At the same time, the Water Framework Directive (WFD) and associated EU policies called for a “good” ecological and chemical status to be achieved for water bodies by the end of 2015, currently delayed to 2021–2027 due to a lack of efficiency in policies and timescale of resilience for hydrosystems, especially groundwater systems. Water managers need appropriate and user-friendly tools to design agro-environmental policies. These tools should help them to evaluate the potential impacts of mitigation measures on water resources, more clearly define protected areas, and more efficiently distribute financial incentives to farmers who agree to implement alternative practices. At present, a number of reports point out that water managers do not use appropriate information from monitoring or models to make decisions and set environmental action plans. In this paper, we propose an integrated and collaborative approach to analyzing changes in land use, farming systems, and practices and to assess their effects on agricultural pressure and pesticide transfers to waters. The integrated modeling of agricultural scenario (IMAS) framework draws on a range of data and expert knowledge available within areas where a pesticide action plan can be defined to restore the water quality, French “Grenelle law” catchment areas, French Water Development and Management Plan areas, etc. A so-called “reference scenario” represents the actual soil occupation and pesticide-spraying practices used in both conventional and organic farming. A number of alternative scenarios are then defined in cooperation with stakeholders, including socio-economic conditions for developing alternative agricultural systems or targeting mitigation measures. Our integrated assessment of these scenarios combines the calculation of spatialized environmental indicators with integrated bio-economic modeling. The latter is achieved by a combined use of Soil and Water Assessment Tool (SWAT) modeling with our own purpose-built land use generator module (Generator of Land Use version 2 (GenLU2)) and an economic model developed using General Algebraic Modeling System (GAMS) for cost-effectiveness assessment. This integrated approach is applied to two embedded catchment areas (total area of 360,000 ha) within the Charente river basin (SW France). Our results show that it is possible to differentiate scenarios based on their effectiveness, represented by either evolution of pressure (agro-environmental indicators) or transport into waters (pesticide concentrations). By analyzing the implementation costs borne by farmers, it is possible to identify the most cost-effective scenarios at sub-basin and other aggregated levels (WFD hydrological entities, sensitive areas). Relevant results and indicators are fed into a specifically designed database. Data warehousing is used to provide analyses and outputs at all thematic, temporal, or spatial aggregated levels, defined by the stakeholders (type of crops, herbicides, WFD areas, years), using Spatial On-Line Analytical Processing (SOLAP) tools. The aim of this approach is to allow public policy makers to make more informed and reasoned decisions when managing sensitive areas and/or implementing mitigation measures.

Les eaux superficielles et souterraines doivent recouvrer une bonne qualité chimique et biologique avant 2015, d'après la Directive Cadre Européenne. Les Bonnes Pratiques Agricoles (BPA) établissent un compromis entre les risques de pollution et de perte de revenu. Le résultat minimal escompté est de respecter la norme de potabilité de 50 mgNO3.L-1 dans les eaux de captage et d'éviter les transferts de pollution de l'hydrosphère vers l'atmosphère. Cependant leur mise en oeuvre ne garantit pas d'atteindre ces objectifs ; cela nécessite des moyens de quantifier l'impact des pratiques agricoles effectives sur la pollution nitrique. Nous avons testé différentes méthodes de quantification, en nous appuyant sur les données issues d'une expérimentation partenariale de prévention de la pollution, menée sur le site de Bruyères (02). La question finalisée est "quel est l'impact des BPA, appliquées de façon systématique, à l'échelle d'un bassin"? La question de recherche est "peut-on modéliser la pollution nitrique, en situation agricole, à l'échelle du bassin hydrologique"? Le site d'étude est un plateau de 187 ha qui alimente une nappe d'eau souterraine, sise dans le Lutétien. Cette nappe alimente 5 sources principales qui connaissent une pollution croissante depuis 1970. Les 21 parcelles cultivées du plateau ont fait l'objet d'une mise en oeuvre systématique des BPA, par les 3 agriculteurs, depuis 1990. Les pratiques agricoles et l'hydrogéologie du site ont été caractérisées. Les débits des sources répondent aux pluies efficaces dans un délai d'une semaine. Le temps moyen de séjour de la molécule de Tritium dans l'aquifère est de 25 ans, à cause de l'épaisseur de la zone non saturée. Compte tenu de ce délai, un niveau intermédiaire d'évaluation est nécessaire : les pertes sous la zone racinaire. Les méthodes de quantification diffèrent selon leur degré de dépendance aux données expérimentales : i) le modèle de calcul LIXIM, associé avec toutes les données observées; ii) un modèle stochastique de réponse des cultures à la dose d'azote, initialisé annuellement; iii) le modèle fonctionnel dynamique STICS, qui peut simuler les pertes du système sol- plante- atmosphère de façon continue pendant plusieurs années. Les prédictions des variables d'intérêt économique et environnemental sont confrontées, aux données observées, aux échelles de la station et du bassin. Les impacts environnementaux et économiques, de différents scénarios de prévention de la pollution, sont simulés. Les reliquats d'azote minéral à la récolte et en entrée d'hiver sont proches et stables dans le temps avec respectivement 41 et 57 kgN.ha-1. L'intégration des flux calculés avec LIXIM, à l'échelle de la rotation culturale, conduit à lisser le facteur culture et à faire du type de sol le principal déterminant de la concentration. La teneur en nitrate moyenne pondérée, de l'eau de percolation, est de 46 mgNO3.L-1 pour la zone cultivée et de 37 mgNO3.L-1 pour l'ensemble du bassin. Ce bon résultat est confirmé qualitativement par la baisse constatée des teneurs de plusieurs captages depuis l'an 2000. Le temps de réponse de l'aquifère serait égal à la moitié de son temps de renouvellement. L'abattement de la teneur en nitrate de l'eau de percolation permis par les BPA, relativement à un scénario conventionnel, est compris entre 27 et 39 %, suivant la méthode de simulation. Le coût des BPA est de 0.07 | Surface and groundwaters must regain good chemical and biological quality before 2015 according to European Directives. Good Agricultural Practices (GAPs) establish a compromise between the risks of pollution and the loss of revenue. The minimum result expected is conformity with the drinking water standard of 50 mgNO3.L-1 in the collected water and the avoidance of transfer of pollution from the hydrosphere into the atmosphere. However their implementation does not guarantee that these objectives will be reached ; that requires a means of quantifying the impact of effective agricultural practices on nitrate pollution. We have tested different methods of quantification by using data from a collaborative experiment on pollution prevention, carried out on the site of Bruyères (02). The question targeted was « what is the impact of GAP, applied regularly, on the scale of a catchment area ? » The research question was « can nitrate pollution be modelled, in a farming situation, on the scale of a catchment area ? » The study site is a plateau of 187 ha which supplies a groundwater aquifer located in the Lutetian geological layer. This aquifer feeds five main springs which have suffered increasing pollution since 1970. The 21 cultivated fields on the plateau were subjected to regular implementation of GAPs by the three farmers since 1990. The farming practices and the hydrogeology of the site were characterised. The flow rates of the springs respond to effective rainfall after a delay of a week. The mean residence time of the tritium molecule in the aquifer is 25 years, because of the thickness of the unsaturated zone. In view of this delay, an intermediate level of evaluation is necessary : the losses under the root zone. The methods of quantification differ according to their degree of dependence on the experimental data : i) the LIXIM mathematical model, associated with all the observed data ; ii) a stochastic model of crop response to the nitrogen rate, initialised each year, iii) the functional dynamic model STICS, which can simulate the losses of the soil/plant/atmosphere system continuously over several years. The predictions of the variables of economic and environmental interest are compared with the observed data on the scale of the station and of the basin. The environmental and economic impacts for different scenarios of pollution prevention are simulated. The mineral nitrogen residues at harvest and at the beginning of winter are similar and stable over time at 41 et 57 kgN.ha-1 respectively. The averaging of the losses, calculated with LIXIM, over the crop rotation, smooths out the crop factor and makes the soil type the principal determinant of the concentration. The mean weighted nitrate concentration in the percolating water is 46 mgNO3.L-1 for the cultivated zone and 37 mgNO3.L-1 for the whole basin. This good result is confirmed qualitatively by the fall observed in the contents at several collection points since the year 2000. The response time of the aquifer would be equal to half of its renewal time. The reduction in the nitrate content of the percolation water permitted by GAPs, compared with a conventional scenario, is between 27 and 39%, depending on the simulation method. The cost of the GAPs is 0.07 €.m-3 of drinked water, making prevention competitive with water treatment at the Bruyères site. Dynamic modelling with STICS appears to be effective in the agricultural situation, but its reliability depends on the availability and relevance of the databases used to calibrate it. It can take account of a large number of technical inputs and their long-term interactions. Coupling STICS with a geographical information system (GIS) enables the spatial variability of the physical and cultural features of the environment to be integrated. However it is not possible to guarantee the reliability of the predictions for both any time and any place. Access to the precise value of parameters like the crop’s maximum rooting depth or the stock of organic nitrogen is simply not feasible. According to the STICS model, the nitrogen losses simulated in gaseous form are equal to those in solution. This result needs to be verified. Bearing in mind these limitations, modelling based on experimentation can become a management tool for nitrogen in cropping systems on a regional scale. The problem of limiting nitrate leaching is shifted towards the conception of sustainable cropping systems.

Les eaux superficielles et souterraines doivent recouvrer une bonne qualité chimique et biologique avant 2015, d'après la Directive Cadre Européenne. Les Bonnes Pratiques Agricoles (BPA) établissent un compromis entre les risques de pollution et de perte de revenu. Le résultat minimal escompté est de respecter la norme de potabilité de 50 mgNO3.L-1 dans les eaux de captage et d'éviter les transferts de pollution de l'hydrosphère vers l'atmosphère. Cependant leur mise en oeuvre ne garantit pas d'atteindre ces objectifs ; cela nécessite des moyens de quantifier l'impact des pratiques agricoles effectives sur la pollution nitrique. Nous avons testé différentes méthodes de quantification, en nous appuyant sur les données issues d'une expérimentation partenariale de prévention de la pollution, menée sur le site de Bruyères (02). La question finalisée est "quel est l'impact des BPA, appliquées de façon systématique, à l'échelle d'un bassin"? La question de recherche est "peut-on modéliser la pollution nitrique, en situation agricole, à l'échelle du bassin hydrologique"? Le site d'étude est un plateau de 187 ha qui alimente une nappe d'eau souterraine, sise dans le Lutétien. Cette nappe alimente 5 sources principales qui connaissent une pollution croissante depuis 1970. Les 21 parcelles cultivées du plateau ont fait l'objet d'une mise en oeuvre systématique des BPA, par les 3 agriculteurs, depuis 1990. Les pratiques agricoles et l'hydrogéologie du site ont été caractérisées. Les débits des sources répondent aux pluies efficaces dans un délai d'une semaine. Le temps moyen de séjour de la molécule de Tritium dans l'aquifère est de 25 ans, à cause de l'épaisseur de la zone non saturée. Compte tenu de ce délai, un niveau intermédiaire d'évaluation est nécessaire : les pertes sous la zone racinaire. Les méthodes de quantification diffèrent selon leur degré de dépendance aux données expérimentales : i) le modèle de calcul LIXIM, associé avec toutes les données observées; ii) un modèle stochastique de réponse des cultures à la dose d'azote, initialisé annuellement; iii) le modèle fonctionnel dynamique STICS, qui peut simuler les pertes du système sol- plante- atmosphère de façon continue pendant plusieurs années. Les prédictions des variables d'intérêt économique et environnemental sont confrontées, aux données observées, aux échelles de la station et du bassin. Les impacts environnementaux et économiques, de différents scénarios de prévention de la pollution, sont simulés. Les reliquats d'azote minéral à la récolte et en entrée d'hiver sont proches et stables dans le temps avec respectivement 41 et 57 kgN.ha-1. L'intégration des flux calculés avec LIXIM, à l'échelle de la rotation culturale, conduit à lisser le facteur culture et à faire du type de sol le principal déterminant de la concentration. La teneur en nitrate moyenne pondérée, de l'eau de percolation, est de 46 mgNO3.L-1 pour la zone cultivée et de 37 mgNO3.L-1 pour l'ensemble du bassin. Ce bon résultat est confirmé qualitativement par la baisse constatée des teneurs de plusieurs captages depuis l'an 2000. Le temps de réponse de l'aquifère serait égal à la moitié de son temps de renouvellement. L'abattement de la teneur en nitrate de l'eau de percolation permis par les BPA, relativement à un scénario conventionnel, est compris entre 27 et 39 %, suivant la méthode de simulation. Le coût des BPA est de 0.07 | Surface and groundwaters must regain good chemical and biological quality before 2015 according to European Directives. Good Agricultural Practices (GAPs) establish a compromise between the risks of pollution and the loss of revenue. The minimum result expected is conformity with the drinking water standard of 50 mgNO3.L-1 in the collected water and the avoidance of transfer of pollution from the hydrosphere into the atmosphere. However their implementation does not guarantee that these objectives will be reached ; that requires a means of quantifying the impact of effective agricultural practices on nitrate pollution. We have tested different methods of quantification by using data from a collaborative experiment on pollution prevention, carried out on the site of Bruyères (02). The question targeted was « what is the impact of GAP, applied regularly, on the scale of a catchment area ? » The research question was « can nitrate pollution be modelled, in a farming situation, on the scale of a catchment area ? » The study site is a plateau of 187 ha which supplies a groundwater aquifer located in the Lutetian geological layer. This aquifer feeds five main springs which have suffered increasing pollution since 1970. The 21 cultivated fields on the plateau were subjected to regular implementation of GAPs by the three farmers since 1990. The farming practices and the hydrogeology of the site were characterised. The flow rates of the springs respond to effective rainfall after a delay of a week. The mean residence time of the tritium molecule in the aquifer is 25 years, because of the thickness of the unsaturated zone. In view of this delay, an intermediate level of evaluation is necessary : the losses under the root zone. The methods of quantification differ according to their degree of dependence on the experimental data : i) the LIXIM mathematical model, associated with all the observed data ; ii) a stochastic model of crop response to the nitrogen rate, initialised each year, iii) the functional dynamic model STICS, which can simulate the losses of the soil/plant/atmosphere system continuously over several years. The predictions of the variables of economic and environmental interest are compared with the observed data on the scale of the station and of the basin. The environmental and economic impacts for different scenarios of pollution prevention are simulated. The mineral nitrogen residues at harvest and at the beginning of winter are similar and stable over time at 41 et 57 kgN.ha-1 respectively. The averaging of the losses, calculated with LIXIM, over the crop rotation, smooths out the crop factor and makes the soil type the principal determinant of the concentration. The mean weighted nitrate concentration in the percolating water is 46 mgNO3.L-1 for the cultivated zone and 37 mgNO3.L-1 for the whole basin. This good result is confirmed qualitatively by the fall observed in the contents at several collection points since the year 2000. The response time of the aquifer would be equal to half of its renewal time. The reduction in the nitrate content of the percolation water permitted by GAPs, compared with a conventional scenario, is between 27 and 39%, depending on the simulation method. The cost of the GAPs is 0.07 €.m-3 of drinked water, making prevention competitive with water treatment at the Bruyères site. Dynamic modelling with STICS appears to be effective in the agricultural situation, but its reliability depends on the availability and relevance of the databases used to calibrate it. It can take account of a large number of technical inputs and their long-term interactions. Coupling STICS with a geographical information system (GIS) enables the spatial variability of the physical and cultural features of the environment to be integrated. However it is not possible to guarantee the reliability of the predictions for both any time and any place. Access to the precise value of parameters like the crop’s maximum rooting depth or the stock of organic nitrogen is simply not feasible. According to the STICS model, the nitrogen losses simulated in gaseous form are equal to those in solution. This result needs to be verified. Bearing in mind these limitations, modelling based on experimentation can become a management tool for nitrogen in cropping systems on a regional scale. The problem of limiting nitrate leaching is shifted towards the conception of sustainable cropping systems.