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  Knowledge for development  
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Ce rapport préparé pour le Centre commun de recherche (CCR) expose les résultats définitifs d’une étude intitulée AVEMAC (Évaluation des vulnérabilités de l’agriculture afin de concevoir des mesures efficaces pour l’adaptation au changement climatique).
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This report, prepared for the EC Joint Research Centre (JRC), presents the final results of the study named AVEMAC (Assessing Agriculture Vulnerabilities for the design of Effective Measures for Adaptation to Climate Change). The study tackles the lack of information on vulnerabilities, risks, and needs for the adaptation of European priority crops (maize, wheat, rapeseed, sunflower, rice) under a changing climate. Assessing the importance of climate change vulnerability requires not only the localisation of relative yield changes, but also the analysis of the impact of the change on the acreage affected. The assessment has shown contrasting results in response to the different realisations of the emission scenarios.
  Knowledge for development  
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Des chercheurs de l’Institut flamand pour la recherche technologique (VITO) en Belgique, en collaboration avec leurs homologues du Centre commun de recherche (CCR) de la Commission européenne, ont développé un logiciel indépendant capable de traiter des séries temporelles d’images satellite en temps quasi-réel.
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Scientists at the Flemish Institute for Technology Research (VITO) in Belgium and colleagues from the European Commission’s Joint Research Centre have developed a stand-alone software package able to process time series of satellite images in near-real time. Data from remote sensing image series at high temporal and low spatial resolution can be used by the new SPIRITS software to assist in the monitoring of year-to-year variability in crop production and estimate the potential impact of detected anomalies on crop production and the sharing of this information with different audiences. The stand-alone toolbox was developed to produce clear and evidence-based information for crop production analysts and decision makers.
  Knowledge for development  
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Des chercheurs de l’Institut flamand pour la recherche technologique (VITO) en Belgique, en collaboration avec leurs homologues du Centre commun de recherche (CCR) de la Commission européenne, ont développé un logiciel indépendant capable de traiter des séries temporelles d’images satellite en temps quasi-réel.
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SPIRITS (Software for the Processing and Interpretation of Remotely Sensed Image Time Series) was developed by VITO for the Monitoring Agricultural Resources unit (MARS) of the Joint Research Centre of the European Commission. The software facilitates the analysis of time series of low and medium resolution remote sensing images. SPIRITS is an integrated and flexible free software environment for analyzing satellite derived image time series in crop and vegetation monitoring. With this toolbox, time series of low and medium resolution sensors such as SPOT-Vegetation and MODIS-Terra/Aqua can be processed and examined. It can be used to perform and to automatize many spatial and temporal processing steps on time series and to extract spatially aggregated statistics. Vegetation indices and their anomalies can be rapidly mapped and statistics can be plotted and interpreted in seasonal graphs to be shared with analysts and decision makers. http://spirits.jrc.ec.europa.eu/?p=273 (EC JRC, 06/11/2013)
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Des chercheurs de l’Institut pour l’environnement et la durabilité du Centre commun de recherche (CCR) de la Commission européenne ont publié dans la revue Global Change Biology un article sur une plate-forme de modélisation destinée à estimer le stock de carbone organique dans les sols agricoles en Europe.
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Scientists at the Joint Research Centre’s (JRC) Institute for Environment and Sustainability of the European Commission published an article on a modelling platform to estimate organic carbon stock in European agricultural soils in the Global Change Biology journal. Soil organic carbon is an essential indicator of good soil quality. It improves the physical properties of soil, notably by increasing its nutrient retention and groundwater protection capacities. To provide consistent carbon stock estimation at the European scale, the model computed almost 164 000 combinations of soil, climate, and land use data, resulting in new soil organic carbon datasets at the pan-European level. The platform provides a comprehensive modelling platform with comparable and harmonised European geographical and numerical datasets. It should prove to be a very useful tool to orient future policymaking decisions related to soil. http://ies.jrc.ec.europa.eu/news/620/155/Organic-carbon-stock-in-agricultural-soils.html(EC JRC IES, 17/12/2013)
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Des chercheurs de l’Institut pour l’environnement et la durabilité du Centre commun de recherche (CCR) de la Commission européenne ont publié dans la revue Global Change Biology un article sur une plate-forme de modélisation destinée à estimer le stock de carbone organique dans les sols agricoles en Europe.
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Scientists at the Joint Research Centre’s (JRC) Institute for Environment and Sustainability of the European Commission published an article on a modelling platform to estimate organic carbon stock in European agricultural soils in the Global Change Biology journal. Soil organic carbon is an essential indicator of good soil quality. It improves the physical properties of soil, notably by increasing its nutrient retention and groundwater protection capacities. To provide consistent carbon stock estimation at the European scale, the model computed almost 164 000 combinations of soil, climate, and land use data, resulting in new soil organic carbon datasets at the pan-European level. The platform provides a comprehensive modelling platform with comparable and harmonised European geographical and numerical datasets. It should prove to be a very useful tool to orient future policymaking decisions related to soil.