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Author Kipling, R.P.; Bannink, A.; Bellocchi, G.; Dalgaard, T.; Fox, N.J.; Hutchings, N.J.; Kjeldsen, C.; Lacetera, N.; Sinabell, F.; Topp, C.F.E.; van Oijen, M.; Virkajärvi, P.; Scollan, N.D. url  doi
openurl 
  Title Modeling European ruminant production systems: Facing the challenges of climate change Type Journal Article
  Year 2016 Publication Agricultural Systems Abbreviated Journal Agricultural Systems  
  Volume 147 Issue Pages (down) 24-37  
  Keywords Food security; Livestock systems; Modeling; Pastoral systems; Policy support; Ruminants  
  Abstract Ruminant production systems are important producers of food, support rural communities and culture, and help to maintain a range of ecosystem services including the sequestering of carbon in grassland soils. However, these systems also contribute significantly to climate change through greenhouse gas (GHG) emissions, while intensi- fication of production has driven biodiversity and nutrient loss, and soil degradation. Modeling can offer insights into the complexity underlying the relationships between climate change, management and policy choices, food production, and the maintenance of ecosystem services. This paper 1) provides an overview of how ruminant systems modeling supports the efforts of stakeholders and policymakers to predict, mitigate and adapt to climate change and 2) provides ideas for enhancing modeling to fulfil this role. Many grassland models can predict plant growth, yield and GHG emissions from mono-specific swards, but modeling multi-species swards, grassland quality and the impact of management changes requires further development. Current livestock models provide a good basis for predicting animal production; linking these with models of animal health and disease is a prior- ity. Farm-scale modeling provides tools for policymakers to predict the emissions of GHG and other pollutants from livestock farms, and to support the management decisions of farmers from environmental and economic standpoints. Other models focus on how policy and associated management changes affect a range of economic and environmental variables at regional, national and European scales. Models at larger scales generally utilise more empirical approaches than those applied at animal, field and farm-scales and include assumptions which may not be valid under climate change conditions. It is therefore important to continue to develop more realistic representations of processes in regional and global models, using the understanding gained from finer-scale modeling. An iterative process of model development, in which lessons learnt from mechanistic models are ap- plied to develop ‘smart’ empirical modeling, may overcome the trade-off between complexity and usability. De- veloping the modeling capacity to tackle the complex challenges related to climate change, is reliant on closer links between modelers and experimental researchers, and also requires knowledge-sharing and increasing technical compatibility across modeling disciplines. Stakeholder engagement throughout the process of model development and application is vital for the creation of relevant models, and important in reducing problems re- lated to the interpretation of modeling outcomes. Enabling modeling to meet the demands of policymakers and other stakeholders under climate change will require collaboration within adequately-resourced, long-term inter-disciplinary research networks  
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  Language English Summary Language Original Title  
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  Series Volume Series Issue Edition  
  ISSN 0308521x ISBN Medium Review  
  Area Expedition Conference  
  Notes LiveM, ft_macsur Approved no  
  Call Number MA @ admin @ Serial 4734  
Permanent link to this record
 
 
Author Sinabell, F.; Sommer, M.; Kappert, R.; Kaul, H.P. openurl 
  Title Ist Mais unentbehrlich? Type Magazine Article
  Year 2015 Publication Der Pflanzenarzt Abbreviated Journal  
  Volume 68 Issue Pages (down) 19-21  
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  Notes TradeM, ft_macsur Approved no  
  Call Number MA @ admin @ Serial 5015  
Permanent link to this record
 
 
Author Heinschink, K.; Sinabell, F.; Url, T. url  openurl
  Title Elements of an Index-based Margin Insurance. An Application to Wheat Production in Austria Type Report
  Year 2017 Publication WIFO Working Papers Abbreviated Journal  
  Volume 536 Issue Pages (down) 16  
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  Notes TradeM Approved no  
  Call Number MA @ admin @ Serial 5016  
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Author Sinabell, F. url  openurl
  Title Wirtschaftliche Herausforderungen für die Landwirtschaft Type Conference Article
  Year 2016 Publication Abbreviated Journal  
  Volume 5 Issue Pages (down) 11-13  
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  Publisher Place of Publication Irdning-Donnersbachtal Editor  
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  Area Expedition Conference Umweltökologisches Symposium. Landwirtschaft 2030 - Auswirkungen auf Boden, Wasser und Luft, 5. – 6. April 2016, Irdning-Donnersbachtal  
  Notes TradeM, ftnotmacsur Approved no  
  Call Number MA @ admin @ Serial 5013  
Permanent link to this record
 
 
Author Sinabell, F. openurl 
  Title Adaptation to climate change in the European agriculture: A new tool for explicit cost accounting Type Report
  Year 2016 Publication FACCE MACSUR Reports Abbreviated Journal  
  Volume 9 C6 - Issue Pages (down) Sp9-10  
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  Abstract farm structure in Austria and level of educationchallenges of more volatile markets / more uncertain yieldsmore uncertainty about revenues and costsspecialisation and liquidity problems – not alleviated by EU direct paymentspolitical measures: late, uncertain, no legal title, wrong incentivestax credits – not relevant in Austria for most farmsprice hedging instruments steep learning curve and intransparent marketsmost frequently used: service of buying co-operatives control of accumulation risksdetails of contract are attractive for farmerse.g. monthly benefits for milk producersbenefits at the time of sale for pig, piglet, grain producerscombination with production risk insurance with discountsgovernment support during introduction period / as a new policy instrumentmarketing and sales: wholesale buyers / dairies / producer organisations offer margin insurance as a service  
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  Notes Approved no  
  Call Number MA @ admin @ Serial 4860  
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