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Bartley, D. (2013). Identification of datasets on climate change in relation to livestock productivity (production and fitness traits) and livestock infectious disease (Vol. 1).
Abstract: Datasets from Germany and the United Kingdom containing information on geographic (European Union 27 countries), climatic, meteorological, host and infectious agents’ parameters (figure 2) have been completed and are now available for preliminary analysis relating to data quality and consistency. Data set information will continue to be added over the next 12 months. No Label
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Köchy, M., Bannink, A., Banse, M., Brouwer, F., Brüser, K., Ewert, F., et al. (2015). MACSUR Phase 1 Final Administrative Report: Public release (Vol. 6).
Abstract: MACSUR’s foremost charge is improving the methodology for integrative inter-disciplinary modelling of European agriculture. In addition to technical changes, improvements include the involvement of stakeholders for setting research priorities, scenarios (if-then evaluations), and model parameters to more realistic or region-specific values. The Knowledge Hub currently brings together 300 members from 18 countries and has generated 300 scientific papers, over 500 presentations and 20 workshops and conferences within the first three years. Scientific results are communicated in conferences and workshops, where policymakers take part by invitation or because of professional interest. These events also provide opportunities for direct dialogues between policymakers and scientists. The primary form of output of the research network is scientific publications that are cited in policy documents by relevant administrative departments, ministries, intergovernmental agencies, and directorate-generals, and non-governmental interest groups. MACSUR members also contribute directly to policy documents as authors, e.g. the EEA’s indicator report on CC impacts or the IPCC’s 5th assessment report’s chapter on food security.
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Köchy, M., Aberton, M., Bannink, A., Banse, M., Brouwer, F., Brüser, K., et al. (2015). MACSUR — Summary of research results, phase 1: 2012-2015 (Vol. 6).
Abstract: MACSUR — Modelling European Agriculture with Climate Change for Food Security — is a knowledge hub that was formally created in June 2012 as a European scientific network. The strategic aim of the knowledge hub is to create a coordinated and globally visible network of European researchers and research groups, with intra- and interdisciplinary interaction and shared expertise creating synergies for the development of scientific resources (data, models, methods) to model the impacts of climate change on agriculture and related issues. This objective encompasses a wide range of political and sociological aspects, as well as the technical development of modelling capacity through impact assessments at different scales and assessing uncertainties in model outcomes. We achieve this through model intercomparisons and model improvements, harmonization and exchange of data sets, training in the selection and use of models, assessment of benefits of ensemble modelling, and cross-disciplinary linkages of models and tools. The project engages with a diverse range of stakeholder groups and to support the development of resources for capacity building of individuals and countries. Commensurate with this broad challenge, a network of currently 300 scientists (measured by the number of individuals on the central e-mail list) from 18 countries evolved from the original set of research groups selected by FACCE. In the spirit of creating and maintaining a network for intra- and interdisciplinary knowledge exchange, network activities focused on meetings of researchers for sharing expertise and, depending on group resources (both financial and personnel), development of collaborative research activities. The outcome of these activities is the enhanced knowledge of the individual researchers within the network, contributions to conference presentations and scholarly papers, input to stakeholders and the general public, organised courses for students, junior and senior scientists. The most visible outcome are the scientific results of the network activities, represented in the contributions of MACSUR members to the impressive number of more than 200 collaborative papers in peer-reviewed publications. Here, we present a selection of overview and cross-disciplinary papers which include contributions from MACSUR members. It highlights the major scientific challenges addressed, and the methodological solutions and insights obtained. Over and above these highlights, major achievements have been reached regarding data collection, data processing, evaluation, model testing, modelling assessments of the effects of agriculture on ecosystem services, policy, and development of scenarios. Details on these achievements in the context of MACSUR can be found in our online publication FACCE MACSUR Reports at http://ojs.macsur.eu.
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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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