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Nendel, C., Ewert, F., Rötter, R. P., Rosenzweig, C., Jones, J. W., Hatfield, J. L., et al. (2013). Addressing challenges and uncertainties for, the use of agro-ecosystem models to, assess climate change impact and food security across scales..
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Stewart, D. (2013). A strategy for the dissemination outputs at the national, EU and global levels (Vol. 2).
Abstract: To effectively communicate and disseminate the outputs of CropM and MACSUR per se at national, EU and global levels it is essential that we engage with the appropriate audiences and tailor the level and depth of the outputs accordingly. Consequently for the range of stakeholder outputs there will be a staged period of engagement with stakeholders in the policy and industry sectors (and where appropriate others). This will be driven by the strategies outlined in WP6.3-4 (Strategies for engagement on adaptation and mitigation with national and EU policy makers and with the agro-food chain sector). Once enacted and the feedback collated these response will facilitate the co-construction of an appropriate dissemination strategy. Aligned with this will be a series of standardised dissemination routes that will deliver globally but will then often be followed up by a more local (national) output/dissemination activity tailored for that region. The dissemination strategy will include but will not be limited to multiple and various methods of information distribution including Scientific papers and presentations. Agricultural sector/industry focused talks/presentations and workshops. A fully developed and interactive website (part of the larger project). Social Media Podcasts and WebTV with key actors in the crop and climate change arena including scientists, and stakeholders (policy, agriculturalists and industry representatives). Integration with the cognate EU platforms, e.g. EIP Agricultural and Sustainability, EIT-KIC Climate Change(ETP), the appropriate ETPs (http://cordis.europa.eu/technology-platforms/individual_en.html) and major EU projects such as SUSFOOD etc. No Label
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Ewert, F., Rötter, R. P., Bindi, M., Webber, H., Trnka, M., Kersebaum, K., et al. (2015). Crop modelling for integrated assessment of risk to food production from climate change (Vol. 6).
Abstract: The complexity of risks posed by climate change and possible adaptations for crop production has called for integrated assessment and modelling (IAM) approaches linking biophysical and economic models. This paper attempts to provide an overview of the present state of crop modelling to assess climate change risks to food production and to which extent crop models comply with IAM demands. Considerable progress has been made in modelling effects of climate variables, where crop models best satisfy IAM demands. Demands are partly satisfied for simulating commonly required assessment variables. However, progress on the number of simulated crops, uncertainty propagation related to model parameters and structure, adaptations and scaling are less advanced and lagging behind IAM demands. The limitations are considered substantial and apply to a different extent to all crop models. Overcoming these limitations will require joint efforts, and consideration of novel modelling approaches. No Label
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Ewert, F., Rötter, R. P., Bindi, M., Webber, H., Trnka, M., Kersebaum, K. C., et al. (2015). Crop modelling for integrated assessment of risk to food production from climate change. Env. Model. Softw., 72, 287–303.
Abstract: The complexity of risks posed by climate change and possible adaptations for crop production has called for integrated assessment and modelling (IAM) approaches linking biophysical and economic models. This paper attempts to provide an overview of the present state of crop modelling to assess climate change risks to food production and to which extent crop models comply with IAM demands. Considerable progress has been made in modelling effects of climate variables, where crop models best satisfy IAM demands. Demands are partly satisfied for simulating commonly required assessment variables. However, progress on the number of simulated crops, uncertainty propagation related to model parameters and structure, adaptations and scaling are less advanced and lagging behind IAM demands. The limitations are considered substantial and apply to a different extent to all crop models. Overcoming these limitations will require joint efforts, and consideration of novel modelling approaches.
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Cammarano, D., Rötter, P., Ewert, F., Palosuo, T., Bindi, M., Kersebaum, K. C., et al. (2013). Challenges for Agro-Ecosystem Modelling in Climate Change Risk Assessment for major European Crops and Farming systems. (pp. 555–564).
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