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Author |
Øygarden, L.; Höglind, M.; Harstad, M.; Hoveid, Ø. |
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Title |
Modelling European Agriculture with Climate change for food security |
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Conference Article |
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Year |
2013 |
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CropM |
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Bioforsk conference 2013. Proceedings in; Bioforsk Fokus Vol. 8 Nr 2. 2013. pp 372-374. Editors; Erling Fløistad & Morten Gunther. 390 pp. ISBN 978-82-17-00998-6., 2013-02-06 to 2013-02-07 |
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no |
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MA @ admin @ |
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2689 |
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Author |
Hoveid, Ø. |
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Title |
An economist’ wish list for crop modelling |
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Conference Article |
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Year |
2014 |
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TradeM |
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MACSUR CropM International Symposium and Workshop: Modelling climate change impacts on crop production for food security, Oslo, Norway, 2014-02-10 to 2014-02-12 |
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no |
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MA @ admin @ |
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2493 |
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Author |
Hoveid, Ø. |
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Title |
Linking models of climate, weather, crops and economic behavior by Bayesian calibration.” |
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2014 |
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TradeM |
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MACSUR TradeM workshop: Exploring new ideas for trade and agriculture model integration for assessing the impacts of climate change on food security, The Natural Resource and Environmental Research Center (NRERC), University of Haifa, Israel, 2013-03-03 t |
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no |
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MA @ admin @ |
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2494 |
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Author |
Hoveid, Ø. |
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Title |
Progress on Tools, Data, Models |
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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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2492 |
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Author |
Hoveid, Ø. |
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Title |
Prototype stochastic general equilibrium model of a global food system |
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Conference Article |
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2014 |
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A model of a global food system need at least two points in time per year and two locations with different growing seasons so that planting and harvesting have different timing across locations. Moreover, planting decisions reflect soil states affected by stochastic weather since previous point in time, while harvest reflect the planting decisions and the stochastic weather through the growing season up to next point. Decisions on trade, storage and consumption are taken at every point in time. Despite stochastic influence, deterministic stationary general equilibrium is applicable. The world then runs in circles through a likely sequence of N given weather scenarios, while the decision-makers do not know the next scenario. The model will provide a setting in which the consequences of climate change can be assessed both with respect to expectations and variances. It will by construction be an integrated assessment model (IAM) in the sense that outcomes follow from agent choices in a world of biophysical processes. In this case the biophysical world is stochastic. At the prototype stage neither existing behavioral nor bio-physical models will be applied. |
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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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MA @ admin @ |
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5117 |
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