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Author (up) Bishop, J.; Lotze-Campen, H.
Title XC8 Extreme events – Final report Type Report
Year 2017 Publication FACCE MACSUR Reports Abbreviated Journal
Volume 10 Issue Pages XC8-D
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Abstract Following a MACSUR Workshop a joint working paper preliminary titled “More than a change in crop production: metrics and approaches to understand the impacts of extreme events on food security” is now in an advanced stage. A conference paper based on an M.Sc. thesis by Christoph Buschmann, titled “A model-based economic assessment of future climate variability impacts on global agricultural markets” has been presented and the International Conference of Agricultural Economists, 2015. We are working on a journal publication at the moment. Based on a B.Sc. thesis by Patrick Jeetze, we have submitted an abstract and held a presentation at the GlobalFood Symposium 2017, 28-29 April 2017 at Georg-August-University of Goettingen, Germany. Title: “Implications of future climate variability on food security: A model-based assessment of climate-induced crop price volatility impacts” We are currently working on a journal publication on this. Finally, we contributed one section to MACSUR's Research Gap Report (H0.1-D).
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Notes XC Approved no
Call Number MA @ admin @ Serial 4953
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Author (up) Blanco-Penedo et al.
Title Data driven dairy decision for farmers Type Report
Year 2016 Publication FACCE MACSUR Reports Abbreviated Journal
Volume 8 Issue Pages SP8-2
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Abstract Conference poster PDF
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Call Number MA @ admin @ Serial 4855
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Author (up) Bodin, P.
Title Assessing modelling approaches for simulating the effect of high temperature stress on yield Type
Year 2015 Publication FACCE MACSUR Reports Abbreviated Journal
Volume 5 Issue Pages Sp5-7
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Abstract High temperature events can have a large negative effect on crop yields, and the effects of these events are strongly dependent on not only the maximum temperature but also on the length and timing of these heat stress events. In future climate the likelihood of these types of events are expected to increase and thus make it crucial to be able to correctly assess not only the effect of changes in mean temperature but also the effect of changes in climate extremes. Crop models are often employed to predict yield responses to a changing climate, and traditionally they have not included the effect of heat stress events. In recent years more and more models have come to include the effect of high temperature stress on crop yield.  Here we implement three of these approaches (APSIM, GAEZ and CERES-Wheat) into the Crop-DGVM: LPJ-GUESS and results from an initial sensitivity analysis are presented. Results show a large difference in year to year variability in simulated yield for the different approaches, and also on differences in sensitivity in relation to temperature change. No Label
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Area Expedition Conference MACSUR Science Conference 2015 »Integrated Climate Risk Assessment in Agriculture & Food«, 8–9+10 April 2015, Reading, UK
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Call Number MA @ admin @ Serial 2122
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Author (up) Bojar, W.
Title Factsheets of the models Type Report
Year 2013 Publication FACCE MACSUR Reports Abbreviated Journal
Volume 1 Issue Pages D-T1.1
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Abstract The exploration of adaptation and mitigation measures in the context of global challenges like climate change, food security and expected demographic boom is an field of research of growing importance. Over the last decades many research groups have been developing economic-trade models to analyse consequences on farm welfare, market supply and trade, some of them also address food security and other global concerns. There are many different ways to tackle these issues and the specific advantages and limitations of alternative modelling strategies are not yet well understood. The objective of the WP1 T1.1 task within TradeM theme of MACSUR is to use the results of a survey on trade and economic models of MACSUR Consortium partners to show which topics are currently addressed in the different models, which methods are used and how well these tools are prepared for an integration with other models like climate, crop and livestock models. This work was co-financed by NCBiR, Contract no. FACCE JPI/04/2012 – P100 PARTNER No Label
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Call Number MA @ admin @ Serial 2261
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Author (up) Bojar, W.
Title MACSUR TradeM Workshop Exploring new ideas for trade and agriculture model integration for assessing the impacts of climate change on food security Type Report
Year 2013 Publication FACCE MACSUR Reports Abbreviated Journal
Volume 1 Issue Pages M-T0.3
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Abstract The first TradeM workshop was held at Haifa University (Israel), 3-5 March 2013. It was a  state-of-the-art Workshop ‘Economic Modelling on Agriculture with Climate Change for  Food Security’. Sixteen papers are presented, following a call for abstracts submitted in  December 2012.  Presented, reviewed and discussed models, their inputs, outputs and main results of  case-study analyses let indicate of how the model can be used to analyze the  impacts of climate change on food security, how the model can contribute to, and  benefit from other economic and/or crop and livestock models and what input is  needed from CropM and LiveM. There were explored ideas for closer integration and  linkage between agriculture and economic models and between economic models at  different levels, addressing issues of model structure, scale and data processing. Focus was  on model comparison, gap analysis, scientific advancements and improvements. We also  addressed the key challenges of the economic models (macro- versus micro-economics;  uncertainty versus risks; variability and distribution), and identified ways to cope with  scaling, uncertainty, risks. The workshop let identify the requirements from CropM and  LiveM, find policy questions that MACSUR is going to address, start with the content of the  case studies and plan for publication of scientific papers.  The sessions were broadcast live via the internet. Twenty-four registered participants and  about 65 local visitors attended the workshop.This work was co-financed by NCBiR, Contract no. FACCE JPI/04/2012 – P100 PARTNER No Label
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Call Number MA @ admin @ Serial 2260
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