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Sandars, L., & Audsley, E. (2014). Optimal Land-use Future Scenarios Nordic Area..
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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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Audsley, E. (2013). The results of applying the CLIMSAVE (TradeM+CropM+LiveM) model to the regional case studies..
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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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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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