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1748Climate-CAFE - Anpassung an den Klimawandel: Optionen für Anbau- und Produktionssysteme in Europa, Arbeitspaket B: Ökonomische Bewertung klimaangepasster StrategienClimate-CAFE - Climate Change Adaptability of cropping and Farming systems for Europe, Workpackage B: Economic evaluation of climate adaptation strategies.01/02/2015 00:00:0031/03/2018 00:00:00abgeschlossencompletedLeibniz-Zentrum für Agrarlandschaftsforschung (ZALF) e. V.Leibniz Centre for Agricultural Landscape Research (ZALF)x0x20xSchuler, Johannes; Zander, Peter; Uthes, Sandra; Schläfke, Nicolex272x303x544x1001x<div class='ntm_ZAL'>ZAL</div> <a href="http://www6.inra.fr/climate-cafe">http://www6.inra.fr/climate-cafe</a><BR />2015 Climate-CAFE - Anpassung an den Klimawandel: Optionen für Anbau- und Produktionssysteme in Europa, Arbeitspaket B: Ökonomische Bewertung klimaangepasster Strategien Climate-CAFE - Climate Change Adaptability of cropping and Farming systems for Europe, Workpackage B: Economic evaluation of climate adaptation strategies. Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) e. V. Schuler, Johannes; Zander, Peter; Uthes, Sandra; Schläfke, Nicole Drittmittel Leibniz Centre for Agricultural Landscape Research (ZALF) completed abgeschlossen <div class="ExternalClassB5295A9F6D1F4E57A3A31EE105E6D9B5">Climate-CAFE ist ein ERA-NET-Projekt, an dem 12 europäische Forschungspartner beteiligt sind. Das übergeordnete Ziel des Projektes ist es, die Anpassungsfähigkeit der Landwirtschaft an den Klimawandel und den daraus resultierenden erhöhten Ertragsschwankungen zu erhöhen. Dazu werden in europaweiten Fallstudienregionen (adaptation pilots) mit unterschiedlichen klimatischen Herausforderungen in enger Zusammenarbeit von Landwirten, Beratern und Forschern regional angepasste Bewirtschaftungsstrategien entwickelt und computergestützt mit Hilfe von Pflanzenwachstums- und Bodenmodelle (STICS, DAYCENT) im Hinblick auf die vom Intergovernmental Panel on Climate Change (IPCC) entwickelten Emissionsszenarien A2 (medium-high) und B1 (low) für die nähere (2050) und fernere Zukunft (2100) simuliert und bewertet. <br>In folgenden Ländern findet ein Beteiligungsprozess mit Landwirten statt&#58; <ol><li>Frankreich&#58; (INRA)&#58; Farmers network on CC adaptation,</li> <li>Deutschland (ZALF)&#58; Farmers network on regional climate adaptation program, </li> <li>Schottland (SRUC)&#58; Network of agricultural advisors (26 locations) and farm clients, </li> <li>Niederlande (NMI/LBI)&#58; Network and data of innovating conventional arable&#160;and dairy farms, </li> <li>Dänemark (DTU)&#58; Farmers field trials with biochar application, </li> <li>Spanien (CSIC)&#58;&#160;Network with farmers,</li> <li>Finnland (UH)&#58;&#160;Communication network with farmers. </li></ol> <p>Arbeitspacket B&#58; Für einige der ausgewählten Regionen werden die entwickelten Anpassungsstrategien mit dem bioökonomischen Modell MODAM im Hinblick auf ihre betrieblichen und überbetrieblichen bzw. regionalen Wirkungen auf Umweltindikatoren und Wirtschaftlichkeit untersucht. Die gewonnenen Forschungsergebnisse werden in Workshops mit regionalen Akteuren diskutiert, um daraus Empfehlungen für Praxis und Politik abzuleiten. </p></div> <div class="ExternalClass350DC3DAC08546A7A4284E7A2DAB7F0D">The Climate-CAFE project focuses on increasing the &quot;adaptive capacity&quot; of arable and forage crops to climate change (CC). We will use an interdisciplinary approach to evaluate traditional and more novel regional adaptation and mitigation strategies along a North-South climate gradient in the EU and propose new farming system designs for adaptation to CC. The evaluation includes synergies and trade-offs between strategies using different scales and indicators for IPCC scenarios in 2050 and 2100. Synthesis of existing data from experimentation and expert knowledge (advisors and farmers) will be used to propose adaptation measures for a selection of Adaptation Pilots based on representative regional cropping and farming systems located in consortium countries. These Pilots are planned&#58; <ol><li>France (INRA)&#58; Farmers network on CC adaptation, </li> <li>Germany (ZALF)&#58; Farmers network on regional climate adaptation program, </li> <li>Scotland (SRUC)&#58; Network of agricultural advisors (26 locations) and farm clients, </li> <li>Netherlands (NMI/LBI)&#58; Network and data of innovating conventional arable and dairy farms, </li> <li>Denmark (DTU)&#58; Farmers field trials with biochar application, </li> <li>Spain (CSIC)&#58; Network with farmers, </li> <li>Finland (UH)&#58; Communication network with farmers. </li></ol> <p>They will be defined and used to design and evaluate adaptation strategies based on multicriteria economic and environmental analyses. The proposed adaptation strategies will focus on improved soil and water management via ecological intensification, including new cultivars, novel rotations, alternative tillage options, and the inclusion of legumes and intercrops, to enhance the buffering capacity of the soil-crop system and capitalize on emerging value chains in the bio-economy. The STICS and DAYCENT models will be used to simulate scenarios at the cropping system level (plot scale and rotation duration). Existing long-term experiments, including FACE and Ecotron specific experiments will be used for analyzing the quality of predictions and where necessarymodels will be improved to accommodate new processes (e.g. introduction of O3 effects in STICS). Over the short/medium-term, the STICS soil-crop model will be run on the RECORD modelling and software platform to make multiple simulations for testing the potential efficiency of proposed CC adaptation measures for maintaining crop production without degrading environmental impacts. In addition, the DAYCENT soil model will be used to evaluate the long-term impact of adaptation measures on soil carbon sequestration and greenhouse gas emissions (CO2, N2O, and CH4). The Modam and Farm-design models will be used to assess the impact of CC adaptation measures on the farms’ economic and environmental performances. </p> <p>The expected results of the Climate-CAFE project are&#58; i) an overview of potential CC adaptation measures in accordance with farm constraints, ii) simulation of adaptation measures and their ranking in terms of efficiency and costs, iii) simulation of the impact of IPCC scenarios 2050 and 2100 in interaction with adaptation measures on European agriculture production, considering a wide range of EU countries representing a North-South climate gradient in Europe. </p> <p>Workpackage B&#58; In several regions the farm economic modelling system MODAM will be applied to evaluate proposed climate adaptation strategies with respect to impacts on environmental and economic indicators. Results will be discussed with stakeholders to develop further recommendations. </p></div> BMBF1/ERA Climate-CAFE <div class="ExternalClassBC4A7BF7-355A-46EC-BF59-3A98F9782077"><ul><li>2016 Landnutzungswandel und Wirkungen</li></ul></div> <div class="ExternalClass569C53A4-D54E-48EF-AFD3-4C1420C034CA"><ul><li>BLW - Bundesamt für Landwirtschaft, Schweiz</li><li>Consejo Superior De Investigaciones Cientificas, Spain</li><li>DTU - Technical University of Denmark</li><li>ETH Zürich</li><li>Institut National de la Recherche Agronomique</li><li>Louis Bolk Institute, The Netherlands</li><li>NMI - Nutrient Management Institute, Netherlands</li><li>SRUC - Scotland Rural University College</li><li>Swedish University of Agricultural Sciences</li><li>University of Helsinki</li><li>Wageningen Universiteit, Netherlands</li></ul></div> <div class="ExternalClassEFCBB2FF-64A8-4D5D-83E0-FD91D5F85E35"><ul><li>BMBF: ERA-NET</li></ul></div> <div class="ExternalClassA4744F49-7D53-4A34-B8BA-F1E3F5857696"><ul><li>BMBF Bundesministerium für Bildung und Forschung</li><li>PT Jülich/MGS</li></ul></div> <div class="ExternalClassC4E7E0BC-D773-41A5-B48D-6F5CC74FB970"></div><div class="ExternalClassB5295A9F6D1F4E57A3A31EE105E6D9B5">Climate-CAFE ist ein ERA-NET-Projekt, an dem 12 europäische Forschungspartner beteiligt sind. Das übergeordnete Ziel des Projektes ist es, die Anpassungsfähigkeit der Landwirtschaft an den Klimawandel und den daraus resultierenden erhöhten Ertragsschwankungen zu erhöhen. Dazu werden in europaweiten Fallstudienregionen (adaptation pilots) mit unterschiedlichen klimatischen Herausforderungen in enger Zusammenarbeit von Landwirten, Beratern und Forschern regional angepasste Bewirtschaftungsstrategien entwickelt und computergestützt mit Hilfe von Pflanzenwachstums- und Bodenmodelle (STICS, DAYCENT) im Hinblick auf die vom Intergovernmental Panel on Climate Change (IPCC) entwickelten Emissionsszenarien A2 (medium-high) und B1 (low) für die nähere (2050) und fernere Zukunft (2100) simuliert und bewertet. <br>In folgenden Ländern findet ein Beteiligungsprozess mit Landwirten statt&#58; <ol><li>Frankreich&#58; (INRA)&#58; Farmers network on CC adaptation,</li> <li>Deutschland (ZALF)&#58; Farmers network on regional climate adaptation program, </li> <li>Schottland (SRUC)&#58; Network of agricultural advisors (26 locations) and farm clients, </li> <li>Niederlande (NMI/LBI)&#58; Network and data of innovating conventional arable&#160;and dairy farms, </li> <li>Dänemark (DTU)&#58; Farmers field trials with biochar application, </li> <li>Spanien (CSIC)&#58;&#160;Network with farmers,</li> <li>Finnland (UH)&#58;&#160;Communication network with farmers. </li></ol> <p>Arbeitspacket B&#58; Für einige der ausgewählten Regionen werden die entwickelten Anpassungsstrategien mit dem bioökonomischen Modell MODAM im Hinblick auf ihre betrieblichen und überbetrieblichen bzw. regionalen Wirkungen auf Umweltindikatoren und Wirtschaftlichkeit untersucht. Die gewonnenen Forschungsergebnisse werden in Workshops mit regionalen Akteuren diskutiert, um daraus Empfehlungen für Praxis und Politik abzuleiten. </p></div><div class="ExternalClass350DC3DAC08546A7A4284E7A2DAB7F0D">The Climate-CAFE project focuses on increasing the &quot;adaptive capacity&quot; of arable and forage crops to climate change (CC). We will use an interdisciplinary approach to evaluate traditional and more novel regional adaptation and mitigation strategies along a North-South climate gradient in the EU and propose new farming system designs for adaptation to CC. The evaluation includes synergies and trade-offs between strategies using different scales and indicators for IPCC scenarios in 2050 and 2100. Synthesis of existing data from experimentation and expert knowledge (advisors and farmers) will be used to propose adaptation measures for a selection of Adaptation Pilots based on representative regional cropping and farming systems located in consortium countries. These Pilots are planned&#58; <ol><li>France (INRA)&#58; Farmers network on CC adaptation, </li> <li>Germany (ZALF)&#58; Farmers network on regional climate adaptation program, </li> <li>Scotland (SRUC)&#58; Network of agricultural advisors (26 locations) and farm clients, </li> <li>Netherlands (NMI/LBI)&#58; Network and data of innovating conventional arable and dairy farms, </li> <li>Denmark (DTU)&#58; Farmers field trials with biochar application, </li> <li>Spain (CSIC)&#58; Network with farmers, </li> <li>Finland (UH)&#58; Communication network with farmers. </li></ol> <p>They will be defined and used to design and evaluate adaptation strategies based on multicriteria economic and environmental analyses. The proposed adaptation strategies will focus on improved soil and water management via ecological intensification, including new cultivars, novel rotations, alternative tillage options, and the inclusion of legumes and intercrops, to enhance the buffering capacity of the soil-crop system and capitalize on emerging value chains in the bio-economy. The STICS and DAYCENT models will be used to simulate scenarios at the cropping system level (plot scale and rotation duration). Existing long-term experiments, including FACE and Ecotron specific experiments will be used for analyzing the quality of predictions and where necessarymodels will be improved to accommodate new processes (e.g. introduction of O3 effects in STICS). Over the short/medium-term, the STICS soil-crop model will be run on the RECORD modelling and software platform to make multiple simulations for testing the potential efficiency of proposed CC adaptation measures for maintaining crop production without degrading environmental impacts. In addition, the DAYCENT soil model will be used to evaluate the long-term impact of adaptation measures on soil carbon sequestration and greenhouse gas emissions (CO2, N2O, and CH4). The Modam and Farm-design models will be used to assess the impact of CC adaptation measures on the farms’ economic and environmental performances. </p> <p>The expected results of the Climate-CAFE project are&#58; i) an overview of potential CC adaptation measures in accordance with farm constraints, ii) simulation of adaptation measures and their ranking in terms of efficiency and costs, iii) simulation of the impact of IPCC scenarios 2050 and 2100 in interaction with adaptation measures on European agriculture production, considering a wide range of EU countries representing a North-South climate gradient in Europe. </p> <p>Workpackage B&#58; In several regions the farm economic modelling system MODAM will be applied to evaluate proposed climate adaptation strategies with respect to impacts on environmental and economic indicators. Results will be discussed with stakeholders to develop further recommendations. </p></div><div class="ExternalClassD1A6F20D-C959-477E-B288-1C8A1C666046"><ul><li>Inst. für Landnutzungssysteme</li><li>Inst. für Sozioökonomie</li></ul></div><div class="ExternalClassAB84F9B1-5369-4E15-BD2A-5ACFAADD935C"><ul><li>Inst. of Land Use Systems</li><li>Inst. of Socio-Economics</li></ul></div><div class="ExternalClass20BCB55C-17BD-48EB-B8D6-AF3522D3DBD9">Nicole Schläfke; Dr. Johannes Schuler; Dr. Sandra Uthes; Dr. Peter Zander</div>Zander, Peter<div class="ExternalClass3A0BC6DA-AC65-43CB-A0A6-212D1BCB647C">Dr. Peter Zander</a></div><div class="ExternalClassBC4A7BF7-355A-46EC-BF59-3A98F9782077"><ul><li>2016 Landnutzungswandel und Wirkungen</li></ul></div><div class="ExternalClass7A6277C4-CDBC-4725-86B8-844274889AD0"><ul><li>2016 Land Use Change and Impacts</li></ul></div>x260x<div class="ExternalClass569C53A4-D54E-48EF-AFD3-4C1420C034CA"><ul><li>BLW - Bundesamt für Landwirtschaft, Schweiz</li><li>Consejo Superior De Investigaciones Cientificas, Spain</li><li>DTU - Technical University of Denmark</li><li>ETH Zürich</li><li>Institut National de la Recherche Agronomique</li><li>Louis Bolk Institute, The Netherlands</li><li>NMI - Nutrient Management Institute, Netherlands</li><li>SRUC - Scotland Rural University College</li><li>Swedish University of Agricultural Sciences</li><li>University of Helsinki</li><li>Wageningen Universiteit, Netherlands</li></ul></div>x2251x666x2255x512x112x2252x2253x1877x944x1016x667x<div class="ExternalClassEFCBB2FF-64A8-4D5D-83E0-FD91D5F85E35"><ul><li>BMBF: ERA-NET</li></ul></div> BMBF - Bundesministerium für Bildung und Forschung; PT Jülich/MGS<div class="ExternalClassA4744F49-7D53-4A34-B8BA-F1E3F5857696"><ul><li>BMBF Bundesministerium für Bildung und Forschung</li><li>PT Jülich/MGS</li></ul></div> 33 <div class="ExternalClassD7F36C70-C93A-4BFD-B819-5614EA75D305"><ul><li>Agrarökonomie und Ökosystemleistungen</li></ul></div><div class="ExternalClassEC131B3F-1B3E-4786-BC9A-C040D2CDF615"><ul><li>Farm Economics and Ecosystem Services</li></ul></div>
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