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Rodríguez-Carretero, T., Lorite, J., Ruiz-Ramos, M., Dosio, A., & Gómez, J. A. (2013). Impact of climate change on water balance components in Mediterranean rainfed olive orchards under tillage or cover crop soil management..
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Roggero, P. P. (2013). Strategies for engagement on adaptation and mitigation with national and EU policy makers and with the agro-food chain sector (Vol. 2).
Abstract: A process for the strategic mapping of national and EU policy makers to be engaged in an interactive and iterative process of learning was designed, based on literature review and specific experience of some participants. In this first intermediate version, we propose a stakeholder mapping process design which will ideally lead to setting the boundaries of context-sensitive systems of interest for pilot actions or interdisciplinary case studies. The mapping exercise will be tested by participants No Label
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Rolinski, S., & Sætnan, E. (2013). Uncertainties in climate change prediction and modelling (Vol. 1).
Abstract: As models become increasingly complex and integrated, uncertainty among model parameters, variables and processes become critical for evaluating model outcomes and predictions. A framework for understanding uncertainty in climate modelling has been developed by the IPCC and EEA which provides a framework for discussion of uncertainty in models in general. Here we report on a review of this framework along with the results of a survey of sources of uncertainty in livestock and grassland models. Along with the identification of key sources of uncertainty in livestock and grassland modelling, the survey highlighted the need for a development of a common typology for uncertainty. When collaborating across traditionally separate research fields, or when communicating with stakeholders, differences in understanding, interpretation or emphasis can cause confusion. Further work in MACSUR should focus on improving model intercomparison methods to better understand model uncertainties, and improve availability of high quality datasets which can reduce model uncertainties. No Label
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Rosenzweig, C., Jones, J. W., Hatfield, J. L., Ruane, A. C., Boote, K. J., Thorburn, P., et al. (2013). The Agricultural Model Intercomparison and Improvement Project (AgMIP): Protocols and pilot studies. Agricultural and Forest Meteorology, 170, 166–182.
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Rötter, P., & Höhn, J. (2013). Climate change impacts on crop production and its variability in Europe: an overview..
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