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Extensive farming --- Extensive farming --- Sustainable agriculture --- Sustainable agriculture --- Pollution by agriculture --- Pollution by agriculture --- farmers --- farmers --- CAP. --- CAP
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best practices --- best practices --- agricultural practices --- agricultural practices --- Rural environment --- Rural environment --- environmental management --- environmental management --- Farm management --- Farm management --- Pollution by agriculture --- Pollution by agriculture --- Morocco --- Morocco
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aquifers --- Pollution by agriculture --- Water pollution --- nitrogen cycle --- Soil water movement --- Mathematical models --- Leaching --- Tunisia
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best practices --- best practices --- phytosanitary measures --- phytosanitary measures --- agricultural extension --- toxicity --- toxicity --- Chemical control --- Chemical control --- Pollution by agriculture --- Pollution by agriculture --- ACP --- Emballage vide --- Mandingue --- Guinea --- Guinea --- Emballage vide --- Mandingue
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Pilot farms --- Pilot farms --- nitrogen cycle --- nitrogen cycle --- Mixed farming --- Mixed farming --- Pollution by agriculture --- Pollution by agriculture --- Soil pollution --- Soil pollution --- Water pollution --- Water pollution --- Leaching --- Leaching --- Sustainable agriculture --- Sustainable agriculture
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Rivers --- Rivers --- Water pollution --- Water pollution --- Chemical contamination --- Chemical contamination --- Radioactive contamination --- Radioactive contamination --- Industrial pollutants --- Industrial pollutants --- Pollution by agriculture --- Pollution by agriculture --- toxicity --- toxicity --- pollution control --- pollution control --- Measurement --- Measurement --- methods --- methods --- water purification --- water purification
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Qualité de l'eau --- Water quality --- Pollution de l'eau --- Water pollution --- Pollution by agriculture --- diagnosis --- France
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Global climate change is a natural process that currently appears to be strongly influenced by human activities, which increase atmospheric concentrations of greenhouse gases (GHG), in particular carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O). Agriculture contributes about 20% of the world's global radiation forcing from CO2, CH4 and N2O, and produces 50% of the CH4 and 70% of the N2O of the human-induced emission. Interest is increasing among land managers, policy makers, GHG emitting entities, and carbon (C) brokers in using agricultural lands to sequester C and reduce GHG emission. Precise information is lacking, however, on how specific management practices in different regions of the world impact soil C sequestration and the mitigation of GHG emission. In 2002, the USDA Agricultural Research Service (ARS) developed a coordinated national research effort called GRACEnet (Greenhouse gas Reduction through Agricultural Carbon Enhancement network) to provide information on the soil C status and GHG emission of current agricultural practices, and to develop new management practices to reduce net GHG emission and increase soil C sequestration primarily from soil management. Managing Agricultural Greenhouse Gases synthesizes the wealth of information generated from the GRACEnet project in over 30 ARS locations throughout the US and in numerous peer-reviewed articles. Although GRACEnet is an ARS project, contributors to this work include a variety of backgrounds and reported findings have important international applications. For example, many parts of the world possess similar ecoregions to the U.S. (e.g., northern Great Plains is similar to the Argentina Pampas and Ukraine Steppe). Such similarities expand the appeal of this exciting new volume to a wide international readership. Frames responses to challenges associated with climate change within the geographical domain of the U.S., while providing a useful model for researchers in the many parts of the world that possess similar ecoregions Covers not only soil C dynamics but also nitrous oxide and methane flux, filling a void in the existing literature Educates scientists and technical service providers conducting greenhouse gas research, industry, and regulators in their agricultural research by addressing the issues of GHG emissions and ways to reduce these emissionsSynthesizes the data from top experts in the world into clear recommendations and expectations for improvements in the agricultural management of global warming potential as an aggregate of GHG emissions.
Meteorology. Climatology --- Greenhouse gases --- air pollution --- carbon dioxide --- Nitrogen oxides --- Climatic change --- Methane --- Pollution by agriculture --- Simulation models
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La mise en place des nouvelles directives européennes dans le domaine de l'environnement et, en particulier dans le domaine de l'eau, génère une demande des décideurs pour de nouveaux outils d'évaluation de l'impact des mesures prises afin de réduire les pressions sur les écosystèmes. Dans ce contexte, l'objectif de cette thèse est de développer un modèle hydrologique sol et zone vadose afin d'évaluer l'impact des pollutions diffuses et des mesures d'atténuation sur la qualité des eaux en Région wallonne. Le modèle "sol et zone vadose" de la Région wallonne (modèle EPICgrid) a été développé à l'échelle du bassin versant, sur base d'un concept modulaire original, à partir du modèle parcellaire "eau-sol-plante" EPIC (William et al., 1984). Après avoir été validé tant à l'échelle parcellaire qu'à l'échelle du bassin versant, le modèle EPICgrid a permis de simuler le comportement hydrologique des bassins versants de la Région wallonne et de produire des indicateurs de l'état environnemental des masses d'eau de surface et des masses d'eau souterraine en Région wallonne. Les flux simulés sont relatifs au sous-sol non saturé ou variablement saturé. Les simulations portent d'une part sur les termes du bilan hydrologique (ruissellement direct, hypodermiques, recharge des nappes de base, variation de l'humidité du sol, évapotranspiration réelle), d'autre part sur les flux diffus associés d'azote, de phosphore, de matières organiques et de sédiments, d'origine agricole. Le modèle EPICgrid a ensuite été utilisé pour évaluer l'impact sur la qualité des eaux des mesures prises pour réduire les incidences de la pollution diffuse d'origine agricole sur la qualité des masses d'eau de surface et souterraines de la Région wallonne.
Water quality --- Watersheds --- water balance --- Simulation models --- Hydrology --- Hydrogeology --- Nonpoint pollution --- Pollution by agriculture --- pollution control --- Belgium
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Nitrogen --- nitrogen cycle --- Environmental impact assessment --- Environmental impact --- Water pollution --- air pollution --- Soil pollution --- Pollution by agriculture --- Effluents --- France --- world
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