| Records |
| Author |
Rolinski, S.; Heinke, J.; Weindl, I. |
| Title |
Grazing effects on grassland productivity – Linking livestock production to grass yields |
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Conference Article |
| Year |
2014 |
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Livestock, Climate Change and Food Security, Madrid, Spain, 2014-05-19 to 2014-05-20 |
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no |
| Call Number |
MA @ admin @ |
Serial  |
2752 |
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| Author |
Ma, S.; Acutis, M.; Barcza, Z.; Ben, T., H.; Doro, L.; Hidy, D.; Köchy, M.; Minet, J.; Lellei-Kovács, E.; Perego, A.; Rolinski, S.; Ruget, F.; Seddaiu, G.; Wu, L.; Bellocchi, G. |
| Title |
The grassland model intercomparison of the MACSUR (Modelling European Agriculture with Climate Change for Food Security) European knowledge hub |
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Conference Article |
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2014 |
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LiveM |
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7th International Congress on Environmental Modelling and Software, 2014-06-15 to 2014-06-19 |
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no |
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MA @ admin @ |
Serial |
2618 |
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Dalgaard, T.; Kjeldsen, C.; Meyer-Aurich, A.; Özkan, S.; Rolinski, S.; Köchy, M.; Olesen, J.E.; Brouwer, F.; van den Pol-van Dasselaar, A.; Kipling, R. |
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Farming systems models for regional scale impact assessment in Europe – case studies of N-losses and greenhouse gas emissions |
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Conference Article |
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2014 |
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Scaling in global, regional and farm models, 2014-09-24 to 2014-09-24 |
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no |
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MA @ admin @ |
Serial |
2380 |
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Biewald, A.; Rolinski, S.; Lotze-Campen, H.; Schmitz, C. |
| Title |
Global valuation of agricultural, virtual blue water trade measured on a local scale |
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2012 |
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Conference paper presented at the 10th Annual meeting of the International Water Resource Economics Consortium, Stockholm, Sweden, 2012-08-27 to 2012-08-28 |
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no |
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MA @ admin @ |
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2323 |
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| Author |
Rolinski, S.; Sætnan, E. |
| Title |
Uncertainties in climate change prediction and modelling |
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Report |
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2013 |
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FACCE MACSUR Reports |
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1 |
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D-L1.5 |
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| Abstract |
As models become increasingly complex and integrated, uncertainty among model parameters, variables and processes become critical for evaluating model outcomes and predictions. A framework for understanding uncertainty in climate modelling has been developed by the IPCC and EEA which provides a framework for discussion of uncertainty in models in general. Here we report on a review of this framework along with the results of a survey of sources of uncertainty in livestock and grassland models. Along with the identification of key sources of uncertainty in livestock and grassland modelling, the survey highlighted the need for a development of a common typology for uncertainty. When collaborating across traditionally separate research fields, or when communicating with stakeholders, differences in understanding, interpretation or emphasis can cause confusion. Further work in MACSUR should focus on improving model intercomparison methods to better understand model uncertainties, and improve availability of high quality datasets which can reduce model uncertainties. No Label |
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MA @ admin @ |
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2259 |
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