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Köchy, M.; Banse, M. |
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Kickoff Workshop, Session on Capacity building and Workshop coordination |
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2013 |
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FACCE MACSUR Reports |
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M-H3.1.2 |
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MA @ admin @ |
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2250 |
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Author |
Barnes, A. |
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Title |
Kickoff Workshop, Session on Scenarios |
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2013 |
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FACCE MACSUR Reports |
Abbreviated Journal |
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1 |
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M-H3.1.3 |
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no |
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MA @ admin @ |
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2251 |
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Author |
Köchy, M.; Banse, M. |
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Title |
Kickoff Workshop, Session on Final Products |
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2013 |
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FACCE MACSUR Reports |
Abbreviated Journal |
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1 |
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M-H3.1.1 |
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The major final products will be a congress aimed at political stakeholders in May 2015 in Brussels with a provisional date of 6./7. May 2015, a scientific conference at the end of January 2015, and a book/special issue summarizing the research results. Most research results should be available by the end of November for the first draft of the book/special issue. No Label |
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no |
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MA @ admin @ |
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2249 |
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Author |
Köchy, M. |
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Title |
FACCE MACSUR Kickoff-Meeting |
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2013 |
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FACCE MACSUR Reports |
Abbreviated Journal |
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1 |
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M-H3.1.0 |
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The FACCE MACSUR kickoff meeting took place 15-16 October 2012 in Berlin, Germany. The date for the meeting was moved from July to October to accommodate the participation of most institutions involved in MACSUR in a sufficiently large meeting place. One hundred and forty-five persons participated in the event. The meeting was organized as a workshop to allow for expanded time for interaction among the participants of the 73 involved institutions. The keynote lectures by Tim Benton (Global Food Security and University of Leeds) and Tim Carter (Finnish Environment Institute – SYKE) set the background by describing the need for assessing future impacts on food security and how to deal with the uncertainty associated with data, models, and projections. In parallel sessions participants discussed the organization of the work in the project and in each Theme, common approaches to answering the questions, selection of scenarios, involvement of stakeholders, and how the results will be presented. The results of the four cross-cutting workshops are documented in separate reports (M-H3.3.1 through M-H3.3.4) and serve as the starting point for more detailed planning over the following months.A post-hoc survey filled in by 75 attendees showed that the workshop had answered many organizational issues. But since the project has only started, many more issues must be discussed and clarified in the coming months, the survey showed. Overall, two thirds of the participants were satisfied with the organization oft he workshop. No Label |
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no |
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MA @ admin @ |
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2248 |
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Kässi, P.; Niskanen, O.; Känkänen, H. |
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Title |
Farm level approach to manage grass yield variation in changing climate in Jokioinen and St. Petersburg |
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2014 |
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FACCE MACSUR Reports |
Abbreviated Journal |
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3 |
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Sp3-11 |
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Cattle’s feeding is based on grass silage in Northern Europe, but grass growth is highly dependent on weather conditions. In farms decision making, grass area is usually determined by the variation of yield. To be adequate in every situation, the lowest expected yield level determines the cultivated area. Other way to manage the grass yield risk is to increase silage storage capacity over annual consumption. Variation of grass yield in climate data from years 1961-1990 was compared with 15 different climate scenario models simulating years 2046-2065. A model was developed for evaluating the inadequacy risk in terms of cultivated area and storing capacity. The cost of risk is presented and discussed.In northern Europe a typical farm has storage for roughage consumption of almost one year. In addition, there can be a buffer storage. The extra storage is to be used before and during the harvest season. New harvest will be fed to animals only after the buffer empty. Shortage in the buffer storage is possible to be filled, when the yield exceeds the target level. For risk management, two alternative mechanisms are given: forage buffer and possibility to alter the field area.According to our results, there are no significant adverse effects in the cost of risk and implied farm profitability due to climate change. Selecting the risk management scenario of 30 % grass yield risk turned out to be the least cost solution. No Label |
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MA @ admin @ |
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2228 |
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