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Author Nelson, G.C.; Valin, H.; Sands, R.D.; Havlík, P.; Ahammad, H.; Deryng, D.; Elliott, J.; Fujimori, S.; Hasegawa, T.; Heyhoe, E.; Kyle, P.; Von Lampe, M.; Lotze-Campen, H.; Mason d’Croz, D.; van Meijl, H.; van der Mensbrugghe, D.; Müller, C.; Popp, A.; Robertson, R.; Robinson, S.; Schmid, E.; Schmitz, C.; Tabeau, A.; Willenbockel, D.
Title Climate change effects on agriculture: economic responses to biophysical shocks Type Journal Article
Year 2014 Publication Proceedings of the National Academy of Sciences of the United States of America Abbreviated Journal Proc. Natl. Acad. Sci. U. S. A.
Volume 111 Issue 9 Pages 3274-3279
Keywords Agriculture/*economics; Carbon Dioxide/analysis; *Climate Change; Commerce/statistics & numerical data; Computer Simulation; Crops, Agricultural/*growth & development; Forecasting; Humans; *Models, Economic; agricultural productivity; climate change adaptation; integrated assessment; model intercomparison
Abstract Agricultural production is sensitive to weather and thus directly affected by climate change. Plausible estimates of these climate change impacts require combined use of climate, crop, and economic models. Results from previous studies vary substantially due to differences in models, scenarios, and data. This paper is part of a collective effort to systematically integrate these three types of models. We focus on the economic component of the assessment, investigating how nine global economic models of agriculture represent endogenous responses to seven standardized climate change scenarios produced by two climate and five crop models. These responses include adjustments in yields, area, consumption, and international trade. We apply biophysical shocks derived from the Intergovernmental Panel on Climate Change’s representative concentration pathway with end-of-century radiative forcing of 8.5 W/m(2). The mean biophysical yield effect with no incremental CO2 fertilization is a 17% reduction globally by 2050 relative to a scenario with unchanging climate. Endogenous economic responses reduce yield loss to 11%, increase area of major crops by 11%, and reduce consumption by 3%. Agricultural production, cropland area, trade, and prices show the greatest degree of variability in response to climate change, and consumption the lowest. The sources of these differences include model structure and specification; in particular, model assumptions about ease of land use conversion, intensification, and trade. This study identifies where models disagree on the relative responses to climate shocks and highlights research activities needed to improve the representation of agricultural adaptation responses to climate change.
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ISSN 0027-8424 1091-6490 ISBN Medium Article
Area Expedition Conference
Notes CropM, TradeM, ft_macsur Approved no
Call Number MA @ admin @ Serial (down) 4535
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Author Strauss, F.; Moltchanova, E.; Schmid, E.
Title Spatially explicit modeling of long-term drought impacts on crop production in Austria Type Journal Article
Year 2013 Publication American Journal of Climate Change Abbreviated Journal American Journal of Climate Change
Volume 2 Issue 3 Pages 1-11
Keywords Long-Term Drought Modeling; Dry Day Index; Biophysical Impacts; Spatial Variability; EPIC; Austria
Abstract Droughts have serious and widespread impacts on crop production with substantial economic losses. The frequency and severity of drought events may increase in the future due to climate change. We have developed three meteorological drought scenarios for Austria in the period 2008-2040. The scenarios are defined based on a dry day index which is combined with bootstrapping from an observed daily weather dataset of the period 1975-2007. The severity of long-term drought scenarios is characterized by lower annual and seasonal precipitation amounts as well as more sig- nificant temperature increases compared to the observations. The long-term impacts of the drought scenarios on Aus- trian crop production have been analyzed with the biophysical process model EPIC (Environmental Policy Integrated Climate). Our simulation outputs show that—for areas with historical mean annual precipitation sums below 850 mm— already slight increases in dryness result in significantly lower crop yields i.e. depending on the drought severity, be- tween 0.6% and 0.9% decreases in mean annual dry matter crop yields per 1.0% decrease in mean annual precipitation sums. The EPIC results of more severe droughts show that spring and summer precipitation may become a limiting factor in crop production even in regions with historical abundant precipitation.
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ISSN 2167-9495 ISBN Medium Article
Area Expedition Conference
Notes CropM, ft_macsur Approved no
Call Number MA @ admin @ Serial (down) 4507
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Author Sinabell, F.; Schmid, E.; Schönhart, M.
Title Landwirtschaft und Klimawandel: Konsequenzen für die österreichische Landwirtschaft auf der Grundlage internationaler Forschungsergebnisse Type Manuscript
Year Publication Abbreviated Journal
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Keywords TradeM
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Series Editor Series Title Abbreviated Series Title Ländlicher Raum
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Notes Approved no
Call Number MA @ admin @ Serial (down) 2840
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Author Schönhart, M.; Schauppenlehner, T.; Kuttner, M.; Kirchner, M.; Schmid, E.
Title Integrated Assessment of Climate Change Mitigation and Adaptation Impacts at Landscape level: Mostviertel, Austria Type Conference Article
Year 2015 Publication Abbreviated Journal
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Keywords TradeM
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Area Expedition Conference Climate-change impacts on farming systems in the next decades — why worry when you have CAP? A FACCE MACSUR workshop for policymakers, Brussels, 2015-05-06 to 2015-05-06
Notes Approved no
Call Number MA @ admin @ Serial (down) 2814
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Author Schönhart, M.; Schauppenlehner, T.; Schmid, E.
Title Integrated Land Use modelling of climate change impacts in two Austrian case study landscapes at field level Type Conference Article
Year 2014 Publication Abbreviated Journal
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Keywords TradeM
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Area Expedition Conference 14th EAAE Congress, Ljubljana (Slovenia), 2014-08-26 to 2014-08-29
Notes Approved no
Call Number MA @ admin @ Serial (down) 2813
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