| Records |
| Author |
Frank, S.; Witzke, P.; Zimmermann, A.; Havlik, P.; Ciaian, P. |
Title  |
Climate Change Impacts on European Agriculture: A Multi Model Perspective |
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Conference Article |
| Year |
2014 |
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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 |
| Call Number |
MA @ admin @ |
Serial |
2443 |
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| Author |
Schönhart, M.; Schauppenlehner, T.; Kuttner, M.; Kirchner, M.; Schmid, E. |
| Title |
Climate change impacts on farm production, landscape appearance, and the environment: Policy scenario results from an integrated field-farm-landscape model in Austria |
Type |
Journal Article |
| Year |
2016 |
Publication |
Agricultural Systems |
Abbreviated Journal |
Agricultural Systems |
| Volume |
145 |
Issue |
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Pages |
39-50 |
| Keywords |
Integrated land use modeling; Climate change impacts; Mitigation; Adaptation; Field-farm-landscape; Environment; agricultural landscapes; land-use; netherlands; adaptation; indicators; management; responses |
| Abstract |
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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English |
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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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Dibari, C.; Argenti, G.; Catolfi, F.; Moriondo, M.; Staglianò, N.; Bindi, M. |
| Title |
Climate change impacts on natural pasturelands of Italian Apennines |
Type |
Conference Article |
| Year |
2014 |
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As well as the entire Mediterranean area, the Italian Apennines have been affected by increasing temperatures, rainfall extreme events and decreases in annual precipitation due to climate change. Moreover, permanent grasslands, species-diverse ecosystems characterizing the marginal areas of the Apennines landscape, are acknowledged as very sensitive and vulnerable to climate variation. Building on these premises, statistical classification models coupled with data integration by GIS techniques, were used to territorially assess future climate change impacts on pastoral communities on the Italian Apennines chain. Specifically, a machine learning approach (Random Forest – RF), firstly calibrated for the present period and then applied to future conditions, as projected by HadCM3 General Circulation Model (GCM), was used to simulate potential expansion/reduction and/or altitudinal shifts of the Apennine pasturelands in two time slices, centred on 2050 and 2080, under A2 and B2 SRES scenarios. RF classification model proved to be robust and very efficient to predict lands suited to pastures with regards to present period (classification error: 12%). Furthermore, according to RF simulations, relevant reductions (46 and 34%) of areas potentially suitable for pastoral resource are expected under A2 at the middle and end of the century, respectively, as depicted by the GCM and SRES scenarios. Moreover, progressive upwards shifts are predicted by the model under both SRES scenarios. These reductions will likely interest the central area of the chain threatening the typical and unique herbaceous biodiversity characterizing the Apennine pasturelands. |
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FACCE MACSUR Mid-term Scientific Conference |
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3(S) Sassari, Italy |
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FACCE MACSUR Mid-term Scientific Conference, 2014-04-01 to 2014-04-04, Sassari, Italy |
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no |
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MA @ admin @ |
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5062 |
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| Author |
Müller, C. |
| Title |
Climate change impacts, uncertainties and implications |
Type |
Conference Article |
| Year |
2013 |
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CropM |
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First Workshop Expert Network Management of Climate change induced Risks, Hamburg, Germany, 2013-03-20 to 2013-03-21 |
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no |
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MA @ admin @ |
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2665 |
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Yin, X.; Olesen, J.E.; Li, W.; Wang, M.; Öztürk, I.; Chen, F. |
| Title |
Climate effects on crop yield in the northeast farming region of China during 1961 to 2010 |
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CropM |
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no |
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MA @ admin @ |
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2910 |
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