| Records |
Author  |
Schönhart, M.; Koland, O.; Schmid, E. |
| Title |
Linking bio-physical, bottom-up and top-down economic models to analyze climate change impacts and adaptation on Austrian agriculture |
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2013 |
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TradeM |
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MACSUR TradeM workshop: Exploring new ideas for trade and agriculture model integration for assessing the impacts of climate change on food security, The Natural Resource and Environmental Research Center (NRERC), University of Haifa, Israel, 2013-03-03 t |
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no |
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MA @ admin @ |
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2809 |
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Schönhart, M.; Kuttner, M.; Schauppenlehner, T.; Schmid, E. |
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Integrated impact analysis of agricultural adaptation and mitigation measures on landscape appearance, and biodiversity |
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Conference Article |
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2013 |
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TradeM |
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Grenzen der Qualitätsstrategie im Agrarsektor - 41. Jahrestagung der Schweizer Gesellschaft, für Agrarwirtschaft und Agrarsoziologie und 23. Jahrestagung der Österreichischen, Gesellschaft für Agrarökonomie, ETH Zürich, 2013-09-12 to 2013-09-14 |
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no |
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MA @ admin @ |
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2808 |
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Schönhart, M.; Mitter, H.; Schmid, E.; Heinrich, G.; Gobiet, A. |
| Title |
Integrated analysis of climate change impacts and adaptation measures in Austrian agriculture |
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Journal Article |
| Year |
2014 |
Publication |
German Journal of Agricultural Economics |
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German Journal of Agricultural Economics |
| Volume |
63 |
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3 |
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156-176 |
| Keywords |
land use; modelling; climate change impact; adaptation; integrated analysis; epic; pasma; crop production; land-use; management-practices; model projections; central-europe; soil-erosion; water; variability; strategies; region |
| Abstract |
An integrated modelling framework (IMF) has been developed and applied to analyse climate change impacts and the effectiveness of adaptation measures in Austrian agriculture. The IMF couples the crop rotation model CropRota, the bio-physical process model EPIC and the bottom-up economic land use model PASMA at regional level (NUTS-3) considering agri-environmental indicators. Four contrasting regional climate model (RCM) simulations represent climate change until 2050. The RCM simulations are applied to a baseline and three adaptation and policy scenarios. Climate change increases crop productivity on national average in the IMF. Changes in average gross margins at national level range from 0% to + 5% between the baseline and the three adaptation and policy scenarios. The impacts at NUTS-3 level range from -5% to + 7% between the baseline and the three adaptation and policy scenarios. Adaptation measures such as planting of winter cover crops, reduced tillage and irrigation are effective in reducing yield losses, increasing revenues, or in improving environmental states under climate change. Future research should account for extreme weather events in order to analyse whether average productivity gains at the aggregated level suffice to cover costs from expected higher climate variability. |
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0002-1121 |
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TradeM, ft_macsur |
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no |
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MA @ admin @ |
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4652 |
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Schönhart, M.; Mitter, H.; Schmid, E.; Heinrich, G.; Gobiet, A. |
| Title |
An integrated analysis on Austrian agriculture: Climate change impacts and adaptation measures |
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2013 |
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TradeM |
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4th Annual AgMIP Workshop, New York, USA, 2013-10-28 to 2013-10-30 |
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no |
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MA @ admin @ |
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2806 |
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Schönhart, M.; Schauppenlehner, T.; Kuttner, M.; Kirchner, M.; Schmid, E. |
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Climate change impacts on farm production, landscape appearance, and the environment: Policy scenario results from an integrated field-farm-landscape model in Austria |
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Journal Article |
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2016 |
Publication |
Agricultural Systems |
Abbreviated Journal |
Agricultural Systems |
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145 |
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39-50 |
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Integrated land use modeling; Climate change impacts; Mitigation; Adaptation; Field-farm-landscape; Environment; agricultural landscapes; land-use; netherlands; adaptation; indicators; management; responses |
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Climate change is among the major drivers of agricultural land use change and demands autonomous farm adaptation as well as public mitigation and adaptation policies. In this article, we present an integrated land use model (ILM) mainly combining a bio-physical model and a bio-economic farm model at field, farm and landscape levels. The ILM is applied to a cropland dominated landscape in Austria to analyze impacts of climate change and mitigation and adaptation policy scenarios on farm production as well as on the abiotic environment and biotic environment. Changes in aggregated total farm gross margins from three climate change scenarios for 2040 range between + 1% and + 5% without policy intervention” and compared to a reference situation under the current climate. Changes in aggregated gross margins are even higher if adaptation policies are in place. However, increasing productivity from climate change leads to deteriorating environmental conditions such as declining plant species richness and landscape appearance. It has to be balanced by mitigation and adaptation policies taking into account effects from the considerable spatial heterogeneity such as revealed by the ILM. (C) 2016 Elsevier Ltd. All rights reserved. |
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0308-521x |
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CropM, TradeM, ft_macsur |
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no |
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MA @ admin @ |
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4767 |
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