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Author Ruiz-Ramos, M.; Ferrise, R.; Rodríguez, A.; Lorite, I.J.; Tao, F.; Pirttioja, N.; Fronzek, S.; Palosuo, T.; Carter, T.R.; Bindi, M.; Höhn, J.G.; Kersebaum, K.C.; Trnka, M.; Hoffmann, H.; Baranowski, P.; Buis, S.; Cammarano, D.; Deligios, P.; Havlinka, P.; Minet, J.; Montesino, M.; Porter, J.; Recio, J.; Ruget, F.; Sanz, A.; Steinmetz, Z.; Stratonovitch, P.; Supit, I.; Ventrella, D.; Wit, A.D.; Rötter, R.P.
Title An ensemble of projections of wheat adaptation to climate change in europe analyzed with impact response surfaces Type Conference Article
Year 2016 Publication Abbreviated Journal
Volume Issue Pages
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Corporate Author Thesis
Publisher Place of Publication Berlin (Germany) Editor
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Area Expedition Conference (up) International Crop Modelling Symposium iCROPM 2016, 2016-05-15 to 2016-05-17, Berlin, Germany
Notes Approved no
Call Number MA @ admin @ Serial 4924
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Author Wallach, D.; Thorburn, P.; Asseng, S.; Challinor, A.J.; Ewert, F.; Jones, J.W.; Rötter, R.P.; Ruane, A.
Title A framework for evaluating uncertainty in crop model predictions Type Conference Article
Year 2016 Publication Abbreviated Journal
Volume Issue Pages
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Corporate Author Thesis
Publisher Place of Publication Berlin (Germany) Editor
Language Summary Language Original Title
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Area Expedition Conference (up) International Crop Modelling Symposium iCROPM 2016, 2016-05-15 to 2016-05-17, Berlin, Germany
Notes Approved no
Call Number MA @ admin @ Serial 4925
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Author Rötter, R.P.; et, A.
Title Examining wheat yield sensitivity to temperature and precipitation changes in Europe for a large crop model ensemble using impact response surfaces Type Conference Article
Year 2014 Publication Abbreviated Journal
Volume Issue Pages
Keywords CropM
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Area Expedition Conference (up) International MACSUR/CropM PhD course, 11-13 November 2014, University of Florence, Italy, 2014-11-13 to 2014-11-13
Notes Approved no
Call Number MA @ admin @ Serial 2759
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Author Rötter, R.
Title Improving capacity of current crop models for simulating impacts of climatic extremes Type Conference Article
Year 2013 Publication Abbreviated Journal
Volume Issue Pages
Keywords CropM
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Area Expedition Conference (up) ISI-MIP side event at at the Impacts World 2013, International Conference on Climate Change Effects, Potsdam, 2013-05-27 to 2013-05-30
Notes Approved no
Call Number MA @ admin @ Serial 2755
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Author Rötter, R.
Title Crop yield variance and yield gap analysis for evaluating technological innovations under climate change: the case of Finnish barley Type
Year 2015 Publication FACCE MACSUR Reports Abbreviated Journal
Volume 5 Issue Pages Sp5-50
Keywords
Abstract The quest for sustainable intensification of agricultural systems has recently triggered research on determining and closing the gaps between farmers’ actual and potential crop yields that can be obtained under optimal management. This so-called “yield gap” is then taken as a yardstick for indicating the potential of technological innovations in agricultural production. In this paper, we argue that in order to assess risks and opportunities for technological innovations we need extra information on crop yield variances in different production situations.Starting point is to assess farmers’ actual yields using data in sufficient quality and resolutions. Crop simulation models are then applied to quantify crop yield potentials and their variances in a changing environment. Resultant information allows ex ante evaluation of innovations that aim at increasing and stabilizing yields.Here we present this approach for barley cultivation in Finland for observed (1981-2010) and future climate (projected for three time periods centered around 2025, 2055 and 2085). Mean and median levels, variances and probabilities of simulated potential and water-limited and observed farmers’ yields are generated for two contrasting regions for analysing production risks and assessing the effectiveness of alternative technologies. As farmers show different levels of risk-aversion, which influence their investments in technological innovations, a so-called ‘normal management mode’ is defined. Employing this then shows how future yields and yield variances are likely to develop under normal management. On this basis, we finally identify which future innovations have the potential to maintain or increase barley yields at acceptable risk levels. No Label
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Area Expedition Conference (up) MACSUR Science Conference 2015 »Integrated Climate Risk Assessment in Agriculture & Food«, 8–9+10 April 2015, Reading, UK
Notes Approved no
Call Number MA @ admin @ Serial 2165
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