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Köchy, M. (2014). The Knowledge Hub »FACCE MACSUR« Modelling European Agriculture with Climate Change for Food Security..
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Köchy, M. (2014). The FACCE MACSUR Mid-Term Scientific Conference: ‘Achievements, Activities, Advancement’ (Vol. 3).
Abstract: The mid-term meeting was held in Sassari, Sardinia, 1-4 April 2014. The meeting was attended by 120 researchers and stakeholders from 16 countries (Fig. 1). After a day of looking back on the achievements during the first two years and presenting results to stakeholders, researchers focused on fine-tuning the planning of remaining work for the project till May 2015 and preparations for a follow-up project (MACSUR2) till May 2017. On an excursion, scientists and stakeholders visited farms in the Oristano region, one of the regional case studies of MACSUR. The meeting was a unique opportunity in this pan-European project for discussing in person common issues with and among stakeholders of different regions and how to approach the impact of climate change to producing food in Europe in a world with a growing population. A report in La Nueva Sardegna highlighted the conference. Excursion: dairy sheep farm “Su Pranu” (Siamanna), dairy cattle farm “Sardo Farm” (Arborea), Arborea Cooperative Recordings of the presentations are available on YouTube: https://www.youtube.com/channel/UCrjoXlUIJNBW8cWOgh0_g The presentations are available on the conference website: http://ocs.macsur.eu/index.php/Hub/Mid-term/schedConf/presentations Short papers derived from the presentations are available on the conference website and in FACCE MACSUR Reports vol 5. The food consumed during lunches at the conference originated mostly from the Oristano region. Remaining food in good condition was donated to a charity organisation for needy people. Fig. 1. Number of participants per country.
Keywords: Hub
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Köchy, M. (2013). Hub website and administrative tasks (Vol. 1).
Abstract: The Hub management has set up and is administering an interactive web site, organized the kickoff-workshop, developed the consortium agreement with 70 partners, developed logos and templates for use by members, published four newsletters, organized seven Project Steering Committee meetings and interacted with the FACCE JPI secretariat. No Label
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Köchy, M. (2013). Strategy for the dissemination of outputs at national, EU, and global levels (Vol. 1).
Abstract: Dissemination of FACCE MACSUR will operate in a tiered manner to the scientific community, funding agencies, decision makers in policy and agri-food businesses, and the general public. Efforts by the MACSUR hub level are targeted at the supra-national level, while individual institutions target regional and national stakeholders.The dissemination approaches will include multiple and various methods of information distribution including• scientific papers and presentations,• conferences, congresses, workshops, and courses targeted to specific stakeholders,• a fully developed and interactive website,• regular newsletters,• flyers,• alignment of methodologies and protocols with other research networks or projects. Dissemination is both passive (web site, publications) and active (flyers, presentations, workshops held jointly with other projects or organizations, Twitter). No Label
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Köchy, M. (2013). Maps of grasslands in Europe (Vol. 1).
Abstract: Modelling of climate effects on agriculture and food security at the European scale requires a harmonized spatially, explicit database of European land use. It can be used for scaling results of point models to an area. A recent review of land cover maps focused on the global scale (Köchy, 2010). European land use as a subset of global land use is contained in the product GlobCover representing the year 2009 with a resolution of 0.3 km. A European product is the CORINE data set with a resolution of 100 m and a minimum mapping unit of 25 ha representing the year 2006 (version 16, European Environmental Agency, 2012). For scaling the results obtained for individual points to larger regions one needs fine-grained maps using the same categories as represented by the sample points. The CORINE map of pasture cover (Fig. 1) has the advantage of being very fine-grained and the classification being supervised. The visual differences to coarser maps of cover matched to census (Fig. 4), however, indicate, that none of the existing maps is reflecting reality perfectly. Since MACSUR will likely work with official national statistics it may be preferable to use one of the census-calibrated maps. For a better match, official EU spatial reporting schemes may be used at a grain that ensures data privacy of the land owners. No Label
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