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Author Zimmermann, A.; Witzke, H.-P.; Heckelei, T. url  openurl
  Title Filling gaps: AgMIP scenario results from CAPRI Type Report
  Year 2013 Publication FACCE MACSUR Reports Abbreviated Journal  
  Volume 2 Issue Pages (down) D-T1.4  
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  Abstract Climate change impacts on food production, socioeconomic changes (population and income growth  in large parts of the world) and biofuel policies affecting demand quantities have risen scientific,  political and public interest in long-term forecasts on food security. Whereas first quantitative analyses  from global economic models are starting to appear (e.g. (von Lampe et al., under review)), similar  studies on smaller regional scales are not yet available. However, acknowledging that climate change  affects crop yields differently across scales and regions (e.g. (Reidsma et al., 2007)) and considering  the specific political setting given through the Common Agricultural Policy (CAP) in Europe, the  MACSUR project focuses on the impact of climate change and socioeconomic changes on European  agriculture and its contribution to global food security. We present a Europe-wide analysis of the  effect of selected climate and socioeconomic scenarios on food security in terms of food prices using  the Common Agricultural Policy Regionalised Impact modelling system (CAPRI). No Label  
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  Call Number MA @ admin @ Serial 2246  
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Author Palosuo, T. url  openurl
  Title Data format for model in- and output Type Report
  Year 2013 Publication FACCE MACSUR Reports Abbreviated Journal  
  Volume 2 Issue Pages (down) D-C1.3  
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  Abstract A common format for model input variables and model output variables has been defined to be distributed to modellers participating in the model inter-comparison and improvement. The aim of common formats is to support the communication between the modellers, those providing empirical data of the experiments and those analysing the simulation results. The input format facilitates the model application in a way that each cropping-system to be modelled will be defined in the same way. Data will be delivered in EXCEL sheets with sub-tables for each block of inputs. Tables are mostly organized in a way that allows export and sequential read-in by the models. The common output format enables effective processing of results estimating model performance indicators. No Label  
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  Notes Approved no  
  Call Number MA @ admin @ Serial 2239  
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Author Köchy, M.; Zimmermann, A. url  openurl
  Title Workshop on Regional Pilot Studies, 5-7 June 2013, Braunschweig Type Report
  Year 2013 Publication FACCE MACSUR Reports Abbreviated Journal  
  Volume 2 Issue Pages (down) R-H1.2.1  
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  Abstract The workshop was called to define an overarching question to be answered by all Regional  Pilot Studies and to select from the existing studies those that fit best to the aims of  MACSUR. The question that evolved from the discussions is “What would be the different  contributions of different European adaptation strategies to ensure global food security  until 2050 at different scales (farm to EU) while keeping the GHG targets?” Workshop  participants agreed to use the newest climate simulations related to Representative  Concentration Pathways that were also used by the AgMIP and ISI-MIP projects. There was  also agreement to use a subset of the AgMIP scenarios (S2-S6) for impact assessments, with  AgMIP scenario S1 as the reference scenario, for details see Table 3 below. The selection  of Regional Pilot Studies was discussed separately for European Grand Regions, but there  was no concluding decision taken. The Project Steering Committee will finally decide on  showcase studies at a meeting in the first week of July based on characterisations sent in  by interested members. Questionnaires for characterising the Regional Pilot Studies will be  sent by the Hub to the regional contact persons mentioned in Table 2 to fill in. The  characterization list can be extended. The questionnaires should be filled in by the end of  June. Stakeholder meetings are planned for October 2013 in each region where  preliminary/sample outputs of the regional pilot studies should be presented. Results will  be presented at the mid-term meeting in April 2014. The last year of MACSUR is then  available to improve the studies.The geographic extent of the Regional Pilot Studies is  approximately county level – representing the area of the studies they are based on. The  Regional Pilot Studies will be linked within the grand regions (northern, central, southern  Europe) by consistent regional and continental Representative Agricultural Pathways (RAP).  These regional RAPs will feed into the RAP process underway at AgMIP. Through the  common RAPs the Regional Pilot Studies will reflect the common challenges of the greater  region and by having several Regional Pilot Studies the diversity of the environment,  farming systems, and political systems is represented. The workshop was a first step into  further planning and performing the Regional Pilot Studies that will fine-tune the results of  the workshop. No Label  
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  Call Number MA @ admin @ Serial 2237  
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Author Leclère, D.; Jayet, P.-A.; de Noblet-Ducoudré, N. url  doi
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  Title Farm-level Autonomous Adaptation of European Agricultural Supply to Climate Change Type Journal Article
  Year 2013 Publication Ecological Economics Abbreviated Journal Ecol. Econ.  
  Volume 87 Issue Pages (down) 1-14  
  Keywords climate change; agriculture; europe; residual impact; autonomous adaptation; water use efficiency; modeling; land-use; integrated assessment; future scenarios; change impacts; model; vulnerability; performance; emissions; nitrogen; lessons  
  Abstract The impact of climate change on European agriculture is subject to a significant uncertainty, which reflects the intertwined nature of agriculture. This issue involves a large number of processes, ranging from field to global scales, which have not been fully integrated yet. In this study, we intend to help bridging this gap by quantifying the effect of farm-scale autonomous adaptations in response to changes in climate. To do so, we use a modelling framework coupling the STICS generic crop model to the AROPAj microeconomic model of European agricultural supply. This study provides a first estimate of the role of such adaptations, consistent at the European scale while detailed across European regions. Farm-scale autonomous adaptations significantly alter the impact of climate change over Europe, by widely alleviating negative impacts on crop yields and gross margins. They significantly increase European production levels. However, they also have an important and heterogeneous impact on irrigation water withdrawals, which exacerbate the differences in ambient atmospheric carbon dioxide concentrations among climate change scenarios. (c) 2012 Elsevier B.V. All rights reserved.  
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  ISSN 0921-8009 ISBN Medium Article  
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  Notes TradeM Approved no  
  Call Number MA @ admin @ Serial 4606  
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Author Waha, K.; Müller, C.; Rolinski, S. url  doi
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  Title Separate and combined effects of temperature and precipitation change on maize yields in sub-Saharan Africa for mid- to late-21st century Type Journal Article
  Year 2013 Publication Global and Planetary Change Abbreviated Journal Global and Planetary Change  
  Volume 106 Issue Pages (down) 1-12  
  Keywords climate change; wet season; water stress; temperature stress; hierarchical cluster analysis; global vegetation model; climate-change; southern africa; east-africa; part i; food; heat; agriculture; variability; impacts  
  Abstract Maize (Zea mays L) is one of the most important food crops and very common in all parts of sub-Saharan Africa. In 2010 53 million tons of maize were produced in sub-Saharan Africa on about one third of the total harvested cropland area (similar to 33 million ha). Our aim is to identify the limiting agroclimatic variable for maize growth and development in sub-Saharan Africa by analyzing the separated and combined effects of temperature and precipitation. Under changing climate, both climate variables are projected to change severely, and their impacts on crop yields are frequently assessed using process-based crop models. However it is often unclear which agroclimatic variable will have the strongest influence on crop growth and development under climate change and previous studies disagree over this question. We create synthetic climate data in order to study the effect of large changes in the length of the wet season and the amount of precipitation during the wet season both separately and in combination with changes in temperature. The dynamic global vegetation model for managed land LPJmL is used to simulate maize yields under current and future climatic conditions for the two 10-year periods 2056-2065 and 2081-2090 for three climate scenarios for the A1b emission scenario but without considering the beneficial CO2 fertilization effect. The importance of temperature and precipitation effects on maize yields varies spatially and we identify four groups of crop yield changes: regions with strong negative effects resulting from climate change (<-33% yield change), regions with moderate (-33% to -10% yield change) or slight negative effects (-10% to +6% yield change), and regions with positive effects arising from climate change mainly in currently temperature-limited high altitudes (>+6% yield change). In the first three groups temperature increases lead to maize yield reductions of 3 to 20%, with the exception of mountainous and thus cooler regions in South and East Africa. A reduction of the wet season precipitation causes decreases in maize yield of at least 30% and prevails over the effect of increased temperatures in southern parts of Mozambique and Zambia, the Sahel and parts of eastern Africa in the two projection periods. This knowledge about the limiting abiotic stress factor in each region will help to prioritize future research needs in modeling of agricultural systems as well as in drought and heat stress breeding programs and to identify adaption options in agricultural development projects. On the other hand the study enhances the understanding of temperature and water stress effects on crop yields in a global vegetation model in order to identify future research and model development needs. (C) 2013 Elsevier B.V. All rights reserved.  
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  ISSN 0921-8181 ISBN Medium Article  
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  Notes CropM, ft_macsur Approved no  
  Call Number MA @ admin @ Serial 4508  
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