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Sandars, L.; Audsley, E. |
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Title |
Optimal Land-use Future Scenarios Nordic Area |
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Conference Article |
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Year |
2014 |
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Trade M |
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TradeM International Workshop 2014 »Economics of integrated assessment approaches for agriculture and the food sector«, Hurdalsjøen, Norway, 2014-11-25 to 2014-11-27 |
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MA @ admin @ |
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2785 |
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Del Prado, A.; van den Pol-van Dasselaar, A.; Chadwick, D.; Misselbrook, T.; Sandars, D.L.; Audsley, E.; Mosquera-Losada, M.R. |
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Title |
Synergies between mitigation and adaption to climate change in grassland-based farming systems |
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Conference Article |
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Year |
2014 |
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LiveM |
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25th EGF General Meeting on “EGF at 50: The Future of European Grasslands”. - Grassland Science in Europe 19. Aberystwyth, Wales : EGF, 2014 - p. 61 - 74., 2014-09-07 to 2014-09-11 |
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no |
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MA @ admin @ |
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2386 |
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Author |
Audsley, E. |
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Title |
The results of applying the CLIMSAVE (TradeM+CropM+LiveM) model to the regional case studies |
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Conference Article |
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2013 |
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TradeM |
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MACSUR TradeM Workshop on Global Food Security Challenges – European Research approaches. Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany, 2013-11-18 to 2013-11-20 |
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no |
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MA @ admin @ |
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2282 |
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Author |
Audsley, E. |
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Title |
CLIMSAVE interactive platform for climate change impacts in Europe |
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Conference Article |
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2014 |
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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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FACCE MACSUR Mid-term Scientific Conference |
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3(S) Sassari, Italy |
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FACCE MACSUR Mid-term Scientific Conference, 2014-04-01 to 2014-04-04, Sassari, Italy |
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no |
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Call Number |
MA @ admin @ |
Serial |
5063 |
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Author |
Sandars, D.; Audsley, E.; Holman, I. |
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Title |
Predicting the optimum land use at any location for any future scenario (CLIMSAVE/IMPRESSIONS) |
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Conference Article |
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2014 |
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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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FACCE MACSUR Mid-term Scientific Conference |
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3(S) Sassari, Italy |
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FACCE MACSUR Mid-term Scientific Conference, 2014-04-01 to 2014-04-04, Sassari, Italy |
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no |
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Call Number |
MA @ admin @ |
Serial |
5113 |
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Permanent link to this record |