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Author Zander, P.
Title (down) Scenarios of regional agricultural land use under climate change for 4 case study regions in Northern Germany Type
Year 2015 Publication FACCE MACSUR Reports Abbreviated Journal
Volume 5 Issue Pages Sp5-73
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Abstract Agricultural land use in Northern Germany is characterized by a gradient of decreasing precipitation from west to east. Climate change is expected to increase temperature and decrease summer precipitation. In the context of a nationally funded project we aim to analyze climate change adaptation strategies for agricultural land use. The research is focused in 4 study regions from Eastern to Western Germany. The presented modelling approach analyses agricultural land use under climate change and for three policy scenarios (business as usual, biodiversity and climate protection). The biodiversity and climate protection scenarios each reserve area for specific scenario objectives: 10% for specific biodiversity measures and 20% for N-fixing legumes in case of the climate protection scenario. All scenarios are executed for three time steps representing year 2010, 2020 and 2030 with a constant yield increase, extrapolated from past observations. Building on IACS data for a farm typology and expert assessments of current and future land use options, we applied a linear programming farm model. Prices are exogenous and derived from CAPRI model runs for 2020 and 2030. First preliminary results show strong impacts of price assumptions and yield assessments. This results in 2020 in lower gross margins for a number of crops and finally to higher set aside areas in eastern Germany. For 2030 input–output price relations are more favourable for farmers and thus lead to lower set aside areas. No Label
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Area Expedition Conference MACSUR Science Conference 2015 »Integrated Climate Risk Assessment in Agriculture & Food«, 8–9+10 April 2015, Reading, UK
Notes Approved no
Call Number MA @ admin @ Serial 2188
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Author Mandryk, M.; Reidsma, P.; van Ittersum, M.K.
Title (down) Scenarios of long-term farm structural change for application in climate change impact assessment Type Journal Article
Year 2012 Publication Landscape Ecology Abbreviated Journal Landscape Ecol.
Volume 27 Issue 4 Pages 509-527
Keywords agriculture; adaptation; climate change; farm structural change; flevoland; agricultural land-use; future; policy; adaptation; diversification; vulnerability; productivity; consequences; variability; performance
Abstract Towards 2050, climate change is one of the possible drivers that will change the farming landscape, but market, policy and technological development may be at least equally important. In the last decade, many studies assessed impacts of climate change and specific adaptation strategies. However, adaptation to climate change must be considered in the context of other driving forces that will cause farms of the future to look differently from today’s farms. In this paper we use a historical analysis of the influence of different drivers on farm structure, complemented with literature and stakeholder consultations, to assess future structural change of farms in a region under different plausible futures. As climate change is one of the drivers considered, this study thus puts climate change impact and adaptation into the context of other drivers. The province of Flevoland in the north of The Netherlands was used as case study, with arable farming as the main activity. To account for the heterogeneity of farms and to indicate possible directions of farm structural change, a farm typology was developed. Trends in past developments in farm types were analyzed with data from the Dutch agricultural census. The historical analysis allowed to detect the relative importance of driving forces that contributed to farm structural changes. Simultaneously, scenario assumptions about changes in these driving forces elaborated at global and European levels, were downscaled for Flevoland, to regional and farm type level in order to project impacts of drivers on farm structural change towards 2050. Input from stakeholders was also used to detail the downscaled scenarios and to derive historical and future relationships between drivers and farm structural change. These downscaled scenarios and future driver-farm structural change relationships were used to derive quantitative estimations of farm structural change at regional and farm type level in Flevoland. In addition, stakeholder input was used to also derive images of future farms in Flevoland. The estimated farm structural changes differed substantially between the two scenarios. Our estimations of farm structural change provide a proper context for assessing impacts of and adaptation to climate change in 2050 at crop and farm level.
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ISSN 0921-2973 1572-9761 ISBN Medium Article
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Notes CropM Approved no
Call Number MA @ admin @ Serial 4477
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Author Schönhart, M.; Sinabell, F.
Title (down) Scenarios for the Austrian agricultural sector until 2025 considering greenhouse gas mitigation Type Conference Article
Year 2015 Publication Jahrbuch der ÖGA Abbreviated Journal
Volume 25 Issue Pages 231-240
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Area Expedition Conference Agrarian Perspectives XXIV, 25th Annual Conference of the Austrian Society of Agricultural Economics, 2015-09-16 to 2015-09-18, Prague
Notes TradeM Approved no
Call Number MA @ admin @ Serial 5028
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Author Carter, T.
Title (down) Scenarios and related data for MACSUR2 Timothy Carter Finnish Environment Type
Year 2015 Publication FACCE MACSUR Reports Abbreviated Journal
Volume 5 Issue Pages Sp5-11
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Abstract Framing scenario selection (RCP/SSP)Ongoing scenario development in FP7 IMPRESSIONSSome examples of sources of data and scenarios No Label
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Area Expedition Conference MACSUR Science Conference 2015 »Integrated Climate Risk Assessment in Agriculture & Food«, 8–9+10 April 2015, Reading, UK
Notes Approved no
Call Number MA @ admin @ Serial 2126
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Author Pulina, A.; Bellocchi, G.; Seddaiu, G.; Roggero, P.P.
Title (down) Scenario analysis of alternative management options on the forage production and greenhouse gas emissions in Mediterranean grasslands Type Conference Article
Year 2016 Publication Abbreviated Journal
Volume 116 Issue Pages 263-266
Keywords LiveM; MACSUR_ACK
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Call Number TI @ martin.koechy @ Serial 2940
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