FACCE MACSUR Reports (Modelling European Agriculture with Climate Change for Food Security)
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471 research outputs found
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Index-based costs of livestock production (INCAP.l) in Austria – the suckler cow and beef calf production activity
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An integrated modelling approach to assess optimisation potentials for cattle housing climate
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Framework of stochastic gross margin volatility modeling of crop rotation with farm management practices
Get PDFDP models with risk aversion through meanvariancespecification is already implemented inLuke and applied in North Savo regionHOWEVER climate change, e.g. changes in mean andvariance of crop yiels, still not yet taken into account– Recently, such crop modelling results have becomeavailble for wheat as well, not only for barley– Still CC impact available for 2 cereals crops only, whilemost farms cultivate more than 2 crops Some early conclusions• The suggested approach is consistent in terms of DPprinciples and mean-variance approach and can provideconsistent results for farm scale risk analysis• It is however hard to utilise the approach except assuming afarm with only few crops (those with crop modelling / otherresults of climate change effects on mean and (co-variance)© Natural Resources Institute Finland• Assuming no change in price (co)variability is a majorsimplification results show farm level (or local) effects ofchanges in mean yields and yield (co)variability onl
Lifetime nitrogen efficiency of dairy cattle: Model description and sensitivity analysis
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A comparison of greenhouse gas (GHG) emissions from dairy farms by four systems models with eight agro-climatic scenarios
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Farm management and sustainability indicators: What and how to include in farm scale models?
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Uncertainties from Climate Change on Farms and Ecosystem Services of a Grassland Dominated Austrian Landscape
Get PDFMACSUR 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 farmer
From diversity to strategy: Livestock research for effective policy in a climate change world
Get PDFEuropean livestock agriculture is extraordinarily diverse, and so are the challenges it faces. This diversity has contributed to the development of a fragmented set of research communities. As a result, livestock research is often under-represented at policy level, despite its high relevance for the environment and food security. Understanding livestock systems and how they can sustainably adapt to global change requires inputs across research areas, including grasslands, nutrition, health, welfare and ecology. It also requires experimental researchers, modellers and stakeholders to work closely together. Networks and capacity building structures are vital to enable livestock research to meet the challenges of climate change. They need to maintain shared resources and provide non-competitive arenas to share and synthesize results for policy support. Long term strategic investment is needed to support such structures. Their leadership requires very different skills to those effective in scientific project coordination.