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Hamidov, A.; Helming, K.; Bellocchi, G.; Bojar, W.; Dalgaard, T.; Ghaley, B.B.; Hoffmann, C.; Holman, I.; Holzkämper, A.; Krzeminska, D.; Kværnø, S.H.; Lehtonen, H.; Niedrist, G.; Øygarden, L.; Reidsma, P.; Roggero, P.P.; Rusu, T.; Santos, C.; Seddaiu, G.; Skarbøvik, E.; Ventrella, D.; Żarski, J.; Schönhart, M. |
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Title |
Impacts of climate change adaptation options on soil functions: A review of European case-studies |
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Journal Article |
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Year |
2018 |
Publication |
Land Degradation & Development |
Abbreviated Journal |
Land Degradation & Development |
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Volume |
29 |
Issue |
8 |
Pages |
2378-2389 |
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Keywords |
agricultural adaptation; DPSIR; regional case-studies; soil degradation; Sustainable Development Goals; Agricultural Practices; Ecosystem Services; Land Management; Netherlands; Farm; Environment; Challenges; Catchments; Framework; Nitrogen |
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Abstract |
Soils are vital for supporting food security and other ecosystem services. Climate change can affect soil functions both directly and indirectly. Direct effects include temperature, precipitation, and moisture regime changes. Indirect effects include those that are induced by adaptations such as irrigation, crop rotation changes, and tillage practices. Although extensive knowledge is available on the direct effects, an understanding of the indirect effects of agricultural adaptation options is less complete. A review of 20 agricultural adaptation case-studies across Europe was conducted to assess implications to soil threats and soil functions and the link to the Sustainable Development Goals (SDGs). The major findings are as follows: (a) adaptation options reflect local conditions; (b) reduced soil erosion threats and increased soil organic carbon are expected, although compaction may increase in some areas; (c) most adaptation options are anticipated to improve the soil functions of food and biomass production, soil organic carbon storage, and storing, filtering, transforming, and recycling capacities, whereas possible implications for soil biodiversity are largely unknown; and (d) the linkage between soil functions and the SDGs implies improvements to SDG 2 (achieving food security and promoting sustainable agriculture) and SDG 13 (taking action on climate change), whereas the relationship to SDG 15 (using terrestrial ecosystems sustainably) is largely unknown. The conclusion is drawn that agricultural adaptation options, even when focused on increasing yields, have the potential to outweigh the negative direct effects of climate change on soil degradation in many European regions. |
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2018-10-16 |
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English |
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ISSN |
1085-3278 |
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XC, TradeM, ft_macsur |
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Call Number |
MA @ admin @ |
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5210 |
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Author |
Mitter, H.; Schönhart, M.; Meyer, I.; Mechtler, K.; Schmid, E.; Sinabell, F.; Bachner, G. |
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Title |
Agriculture |
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Book Chapter |
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Year |
2015 |
Publication |
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Abbreviated Journal |
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Pages |
121-144 |
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Vienna |
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Steininger, K.; König, M.; Bednar-Friedl, B.; Kranzl, L.; Loibl, W.; Prettenthaler, F. |
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Economic Evaluation of Climate Change Impacts. Development of a Cross-Sectoral Framework and Results for Austria |
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TradeM, ftnotmacsur |
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no |
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Call Number |
MA @ admin @ |
Serial |
5014 |
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Author |
Schönhart, M.; Nadeem, I. |
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Title |
Direct climate change impacts on cattle indicated by THI models |
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Journal Article |
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Year |
2015 |
Publication |
Advances in Animal Biosciences |
Abbreviated Journal |
Advances in Animal Biosciences |
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Volume |
6 |
Issue |
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Pages |
17-17 |
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Keywords |
dairy; THI; milk yield; integrated modelling; economic loss |
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Address |
2016-10-31 |
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English |
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TradeM, ft_macsur |
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no |
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Call Number |
MA @ admin @ |
Serial |
4811 |
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Author |
Schönhart, M.; Mitter, H.; Schmid, E.; Heinrich, G.; Gobiet, A. |
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Title |
Integrated analysis of climate change impacts and adaptation measures in Austrian agriculture |
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Journal Article |
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Year |
2014 |
Publication |
German Journal of Agricultural Economics |
Abbreviated Journal |
German Journal of Agricultural Economics |
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Volume |
63 |
Issue |
3 |
Pages |
156-176 |
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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 |
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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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English |
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0002-1121 |
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TradeM, ft_macsur |
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no |
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MA @ admin @ |
Serial |
4652 |
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Author |
Sinabell, F.; Schönhart, M.; Schmid, E. |
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Title |
Austrian Agriculture 2010-2050. Quantitative Effects of Climate Change Mitigation Measures. An analysis of the scenarios WEM, WAM, WAM+ and a sensitivity analysis of scenario WEM |
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Report |
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Year |
2015 |
Publication |
Studie des Österreichischen Instituts für Wirtschaftsforschung im Auftrag des Umweltbundesamts |
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Vienna, Austria |
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Series Editor |
Österreichisches Institut für Wirtschaftsforschung |
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TradeM |
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no |
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Call Number |
MA @ admin @ |
Serial |
5017 |
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