| Records |
| 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 |
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| Notes |
CropM, ft_macsur |
Approved |
no |
| Call Number |
MA @ admin @ |
Serial |
4507 |
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| Author |
Schönhart, M.; Schmid, E.; F., S. |
| Title |
Das Mostviertel – die Fallstudie im Projekt MACSUR TradeM (The Mostviertel Region – the Austrian Regional Pilot Study in MACSUR – TradeM) |
Type |
Conference Article |
| Year |
2014 |
Publication |
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TradeM |
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TradeM Stakeholder Workshop Vienna, 2014-03-24 to 2014-03-24 |
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Approved |
no |
| Call Number |
MA @ admin @ |
Serial |
2810 |
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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 Field and Farm level in the Austrian Mostviertel Region |
Type |
Conference Article |
| Year |
2014 |
Publication |
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TradeM |
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TradeM International Workshop 2014 »Economics of integrated assessment approaches for agriculture and the food sector«, Hurdalsjøen, Norway, 2014-11-25 to 2014-11-27 |
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Approved |
no |
| Call Number |
MA @ admin @ |
Serial |
2812 |
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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 |
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TradeM |
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14th EAAE Congress, Ljubljana (Slovenia), 2014-08-26 to 2014-08-29 |
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no |
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MA @ admin @ |
Serial |
2813 |
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Rosenzweig, C.; Elliott, J.; Deryng, D.; Ruane, A.C.; Müller, C.; Arneth, A.; Boote, K.J.; Folberth, C.; Glotter, M.; Khabarov, N.; Neumann, K.; Piontek, F.; Pugh, T.A.; Schmid, E.; Stehfest, E.; Yang, H.; Jones, J.W. |
| Title |
Assessing agricultural risks of climate change in the 21st century in a global gridded crop model intercomparison |
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 |
3268-3273 |
| Keywords |
Agriculture/*methods/statistics & numerical data; *Climate Change; Computer Simulation; Crops, Agricultural/*growth & development; Forecasting; Geography; *Models, Theoretical; Nitrogen/*analysis; Risk Assessment; Temperature; AgMIP; Isi-mip; agriculture; climate impacts; food security |
| Abstract |
Here we present the results from an intercomparison of multiple global gridded crop models (GGCMs) within the framework of the Agricultural Model Intercomparison and Improvement Project and the Inter-Sectoral Impacts Model Intercomparison Project. Results indicate strong negative effects of climate change, especially at higher levels of warming and at low latitudes; models that include explicit nitrogen stress project more severe impacts. Across seven GGCMs, five global climate models, and four representative concentration pathways, model agreement on direction of yield changes is found in many major agricultural regions at both low and high latitudes; however, reducing uncertainty in sign of response in mid-latitude regions remains a challenge. Uncertainties related to the representation of carbon dioxide, nitrogen, and high temperature effects demonstrated here show that further research is urgently needed to better understand effects of climate change on agricultural production and to devise targeted adaptation strategies. |
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2016-10-31 |
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English |
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1091-6490 (Electronic) 0027-8424 (Linking) |
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| Notes |
CropM |
Approved |
no |
| Call Number |
MA @ admin @ |
Serial |
4801 |
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