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Schils, R. |
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Online maps of Yield Gaps of cereals across Europe |
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2017 |
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FACCE MACSUR Reports |
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10 |
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Xc9.1-D2 |
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The yield gap and water productivity analysis of key cereal crops in Europe is completed and results are available through www.yieldgap.org |
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XC, CropM |
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MA @ admin @ |
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4961 |
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Schmid, E. |
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Title |
Integrated land use modelling — a course for doctoral students |
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2017 |
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FACCE MACSUR Reports |
Abbreviated Journal |
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10 |
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T4.1-4.2-XC4.3-4.4-D |
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TradeM |
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The course on “Integrated land use modelling” took place at BOKU Vienna between 24. – 28. April 2017. It was a five-days course capturing many aspects in quantitative integrated land use modelling using GAMS (see course outline). 10 students have participated the course coming from several countries. Students finishing the course have received 3 ECTS points. The course was offered by BOKU and the Doctoral Certificate Program in Agricultural Economics (https://www.agraroekonomik.de/index.html ). |
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MA @ admin @ |
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5036 |
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Schmidhuber, J. |
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Title |
The Food Equation”: Taking a long/term View on World Agriculture, Climate Change and Food Security |
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2015 |
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FACCE MACSUR Reports |
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4 |
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SP4-15 |
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TradeM International Workshop 2014 »Economics of integrated assessment approaches for agriculture and the food sector«, 25–27 November 2014, Hurdalsjø, Norway |
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MA @ admin @ |
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2205 |
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Schönhart et al. |
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Integrated Assessment of Climate Change Impacts on Farms and Ecosystems in a Grassland Dominated Austrian Landscape |
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2016 |
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FACCE MACSUR Reports |
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8 |
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SP8-16 |
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Conference presentation PDF |
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LiveM2016: International livestock modelling conference – Modelling grassland-livestock systems under climate change |
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no |
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MA @ admin @ |
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4844 |
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Schönhart, M. |
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Title |
Uncertainties from Climate Change on Farms and Ecosystem Services of a Grassland Dominated Austrian Landscape |
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2016 |
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FACCE MACSUR Reports |
Abbreviated Journal |
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9 C6 - |
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Sp9-9 |
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MACSUR 1: development of a method to analysefarm and landscape scale impacts of CC, mitigationand adaptation effects– cropland dominated landscape, crop choice and soilmanagement– climate model uncertainty• Now: test and improve the robustness of the method– grassland landscape, cropland expansion and livestock– uncertainty analysis– variability of weather conditions High spatial resolution creates interfaces to disciplinarymodels and indicators• Challenging data & modelling demand• Increasing productivity can increase intensification pressures• Threatened permanent (extensive) grasslands and landscape elements, but• subject to resource constraints, costs and prices• Future RDP and environmental policy design (e.g. WFD) may need to takechanging productivity into account• Future research: analyze uncertainties & environmentalimpacts• Ensembles of crop and grassland models• Sensitivity analysis on economic input parameters• Qualitative surveys with agricultural experts and farmers |
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MA @ admin @ |
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4832 |
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