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Sinabell, F., Heinschink, K., & Url, T. Margin Insurance in Agriculture – a micro simulation approach of wheat and hog production in Austria.
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Sinabell, F., Heinschink, K., & Tribl, C. (2016). Explicit cost accounting for analyses on climate change adaptation, mitigation and ecosystem service provision in agriculture. In S. Sauvage, J. M. Sánchez-Pérez, & A. E. Rizzoli (Eds.),. 8th International Congress on Environmental Modelling and Software.
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Sinabell, F. (2014). Adaptation in Austrian cattle and milk production. FACCE MACSUR Mid-term Scientific Conference, 3(S) Sassari, Italy.
Abstract: Climate change will pose considerable challenges to Austrian agriculture which will likely be affected by a higher frequency of extreme weather events and more volatile commodity prices. We want to analyse the spatial, economic and social dimension of this threat by exploring expected consequences for the most important agricultural activity in Austria, cattle and dairy farming. We will evaluate a broad bouquet of adaptation measures from both, the perspective of the single farm as well as from the agricultural policy perspective. By aligning scenarios on projections of climate conditions and socio-economic developments with those developed in the EU MACSUR project (www.macsur.eu), the results will be consistent with state of the art analyses on climate change in Europe. By integrating results from a well established life cycle analysis model that will be specified to the Austrian situation we will broaden the spectrum of existing knowledge substantially. The results will allow policy makers to base their decisions on evidence that is not limited to the Austrian situations but includes spillover effects to foreign countries as well. Farmers willbe able to benefit directly from results of this project because stakeholders from the farm sector are part of the analyses from the beginning. An additional benefit of the project is that it is closely integrated to the activities of the international network of researchers working on climate change and food security in Europe.
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Köchy, M., Banse, M., Tiffin, R., Ewert, F., Rötter, R., Van den Pol-van Dasselaar, A., et al. (2014). General outline of plans for an extension phase of MACSUR. FACCE MACSUR Mid-term Scientific Conference, 3(S) Sassari, Italy.
Abstract: FACCE MACSUR has indicated a possible extension of funding by two years until May 2017 (phase 2).For phase 2, hub and theme coordinators suggest the following main activities, that will be discussed during the remainder of the meeting and in the coming months.Evolution, upscaling, and transfer of knowledge gained in regional case studies.Assessment of additional scenarios of socio-economic and climate trends.Further development of an interdisciplinary scientific community.Extending scaling methods for crop models to the European and global scale.Intensification of feed quality and animal health modelling with climate change.Economic models from farm to global level capable of reflecting climate change.
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Schönhart, M., Schauppenlehner, T., Schmid, E., & Sinabell, F. (2014). Regional Pilot Case Study Mostviertel – AT: Preliminary Results. FACCE MACSUR Mid-term Scientific Conference, 3(S) Sassari, Italy.
Abstract: An integrated modelling framework (IMF) is developed to analyse impacts of climate andpolicy changes on farm welfare and the environment. The IMF is applied on two contrasting grassland (south) and cropland (north) dominated Austrian landscapes. The IMF combines the crop rotation model CropRota, the bio-physical process model EPIC and the bio-economic farm model FAMOS[space] and applies combined climate change and policy scenarios. Changing policies reduce farm gross margins by -36% and -5% in the two landscapes respectively. Climate change increases gross margins and farms can reach pre-reform levels on average. Climate induced intensification such as removing of landscape elements andincreasing fertilization can be moderated by an agri-environmental program (AEP). However, productivity gains from climate change increase the opportunity costs for AEP participation.
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