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Audsley, E. (2014). CLIMSAVE interactive platform for climate change impacts in Europe. FACCE MACSUR Mid-term Scientific Conference, 3(S) Sassari, Italy.
Abstract: Describe the CLIMSAVE Integrated Assessment Platform showing the scope of models, inputs and outputs available. Present the results from applying the IAP for the six scenarios on the regional case study regions. Describe the new aims of the follow-on IMPRESSIONS project.
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Audsley, E. (2013). The results of applying the CLIMSAVE (TradeM+CropM+LiveM) model to the regional case studies..
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Del Prado, A., Van den Pol-van Dasselaar, A., Chadwick, D., Misselbrook, T., Sandars, D., Audsley, E., et al. (2015). Synergies between mitigation and adaptation to Climate Change in grassland-based farming systems (Vol. 6).
Abstract: Climate change mitigation and adaptation have generally been considered in separate settings for both scientific and policy viewpoints. Recently, it has been stressed (e.g. by the latest IPCC reports) the importance to consider both mitigation and adaptation from land management together. To date, although there is already large amount of studies considering climate mitigation and adaptation in relation to grassland-based systems, there are no studies that analyse the potential synergies and tradeoffs for the main climate change mitigation and adaptation measures within the current European Policy context. This paper reviews which mitigation and adaptation measures interact with each other and how, and it explores the potential limitations and strengths of the different policy instruments that may have an effect in European grassland-based livestock systems. No Label
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Del Prado, A., van den Pol-van Dasselaar, A., Chadwick, D., Misselbrook, T., Sandars, D. L., Audsley, E., et al. (2014). Synergies between mitigation and adaption to climate change in grassland-based farming systems..
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Sandars, D., Audsley, E., & Holman, I. (2014). Predicting the optimum land use at any location for any future scenario (CLIMSAVE/IMPRESSIONS). FACCE MACSUR Mid-term Scientific Conference, 3(S) Sassari, Italy.
Abstract: Given any socio-, techno-, economic scenario and location specific soil and climate scenario, the farm model predicts the most profitable land use at that location. This model is encapsulated within a Europe-wide interactive interface, to allow adaptation and mitigation options to be explored by any user. With 5 climate models and 19 parameters, the user can study the sensitivity of the results to the chosen scenario settings. A scenario’s land use can be classified as intensive arable, intensive grassland, extensive grassland, forestry, or abandoned depending on potential profitability.
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