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Author Schaap, B.F.; Reidsma, P.; Verhagen, J.; Wolf, J.; van Ittersum, M.K. url  doi
openurl 
  Title Participatory design of farm level adaptation to climate risks in an arable region in The Netherlands Type Journal Article
  Year 2013 Publication European Journal of Agronomy Abbreviated Journal European Journal of Agronomy  
  Volume 48 Issue (up) Pages 30-42  
  Keywords adaptation; climate change; impact; crop production; wheat; onion; potato; sugar beet; crop production; change impacts; agriculture; variability; events; europe; model  
  Abstract In the arable farming region Flevoland in The Netherlands climate change, including extreme events and pests and diseases, will likely pose risks to a variety of crops including high value crops such as seed potato, ware potato and seed onion. A well designed adaptation strategy at the farm level can reduce risks for farmers in Flevoland. Currently, most of the impact assessments rely heavily on (modelling) techniques that cannot take into account extreme events and pests and diseases and cannot address all crops, and are thus not suited as input for a comprehensive adaptation strategy at the farm level. To identify major climate risks and impacts and develop an adaptation measure portfolio for the most relevant risks we complemented crop growth modelling with a semi-quantitative and participatory approach, the Agro Climatic Calendar (ACC), A cost-benefit analysis and stakeholder workshops were used to identify robust adaptation measures and design an adaptation strategy for contrasting scenarios in 2050. For Flevoland, potential yields of main crops were projected to increase, but five main climate risks were identified, and these are likely to offset the positive impacts. Optimized adaptation strategies differ per scenario (frequency of occurrence of climate risks) and per farm (difference in economic loss). When impacts are high (in the +2 degrees C and A1 SRES scenario) drip irrigation was identified as the best adaptation measure against the main climate risk heat wave that causes second-growth in seed and ware potato. When impacts are smaller (the +1 degrees C and B2 SRES scenario), other options including no adaptation are more cost-effective. Our study shows that with relatively simple techniques such as the ACC combined with a stakeholder process, adaptation strategies can be designed for whole farming systems. Important benefits of this approach compared to modelling techniques are that all crops can be included, all climate factors can be addressed, and a large range of adaptation measures can be explored. This enhances that the identified adaptation strategies are recognizable and relevant for stakeholders. (C) 2013 Elsevier B.V. All rights reserved.  
  Address 2016-10-31  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1161-0301 ISBN Medium Article  
  Area Expedition Conference  
  Notes CropM Approved no  
  Call Number MA @ admin @ Serial 4809  
Permanent link to this record
 

 
Author Reidsma, P.; Wolf, J.; Kanellopoulos, A.; Schaap, B.F.; Mandryk, M.; Verhagen, J.; van Ittersum, M.K. openurl 
  Title Climate change impact and adaptation research requires integrated assessment and farming systems analysis: a case study in the Netherlands Type Conference Article
  Year 2015 Publication Abbreviated Journal  
  Volume Issue (up) Pages  
  Keywords CropM  
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  Corporate Author Thesis  
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  Language Summary Language Original Title  
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  Area Expedition Conference Agriculture and Climate Change Conference 2015. Adapting Crops to Increased Uncertainty, 2015-02-15 to 2015-02-17  
  Notes Approved no  
  Call Number MA @ admin @ Serial 2743  
Permanent link to this record
 

 
Author Nendel, C.; Ewert, F.; Rötter, R.P.; Rosenzweig, C.; Jones, J.W.; Hatfield, J.L.; Asseng, S.; Ruane, A.C.; Banse, M.; Tiffin, R.; Brouwer, F.; Sinabell, F.; Scollan, N.; Meijs, J.; Angulo, C.; Antle, J.M.; Baigorria, G.; Basso, B.; Bindi, M.; Boote, K.J.; Gaiser, T.; Janssen, S.; Kersebaum, K.C.; Nelson, G.; Olesen, J.E.; Palosuo, T.; Porter, C.H.; Porter, J.R.; Rivington, M.; Semenov, M.; Stewart, D.; Thorburn, P.; Trnka, M.; van Ittersum, M.K.; Verhagen, J.; Wallach, D.; Winter, J.M. url  openurl
  Title Addressing challenges and uncertainties for, the use of agro-ecosystem models to, assess climate change impact and food security across scales Type Conference Article
  Year 2013 Publication Abbreviated Journal  
  Volume Issue (up) Pages  
  Keywords CropM  
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  Area Expedition Conference Climate Change and Regional Responses Conference, Dresden, 2013-05-27 to 2013-05-27  
  Notes Approved no  
  Call Number MA @ admin @ Serial 2679  
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Author Reidsma, P.; Wolf, J.; Kanellopoulos, A.; Schaap, B.F.; Mandryk, M.; Verhagen, J.; Van Ittersum, M.K. url  openurl
  Title Climate change impact and adaptation research requires integrated assessment and farming systems analysis: a case study in the Netherlands Type Report
  Year 2015 Publication FACCE MACSUR Reports Abbreviated Journal  
  Volume 6 Issue (up) Pages D-C3.4  
  Keywords  
  Abstract Rather than on crop modelling only, climate change impact assessments in agriculture  need to be based on integrated assessment and farming systems analysis, and account for  adaptation at different levels. With a case study for Flevoland, the Netherlands, we  illustrate that 1) crop models cannot account for all relevant climate change impacts and  adaptation options, and 2) changes in technology, policy and prices have had and are likely  to have larger impacts on farms than climate change. While crop modelling indicates  positive impacts of climate change on yields of major crops in 2050, a semi-quantitative  and participatory method assessing impacts of extreme events shows that there are  nevertheless several climate risks. A range of adaptation measures are, however, available  to reduce possible negative effects at crop level. In addition, at farm level farmers can  change cropping patterns, and adjust inputs and outputs. Also farm structural change will  influence impacts and adaptation. While the 5th IPCC report is more negative regarding  impacts of climate change on agriculture compared to the previous report, also for  temperate regions, our results show that when putting climate change in context of other  drivers, and when explicitly accounting for adaptation at crop and farm level, impacts may  be less negative in some regions and opportunities are revealed. These results refer to a  temperate region, but an integrated assessment may also change perspectives on climate  change for other parts of the world. No Label  
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  Notes Approved no  
  Call Number MA @ admin @ Serial 2097  
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Author Ewert, F.; Rötter, R.P.; Bindi, M.; Webber, H.; Trnka, M.; Kersebaum, K.; Christian,; Olesen, J.E.; Van Ittersum, M.K.; Janssen, S.; Rivington, M.; Semenov, M.A.; Wallach, D.; Porter, J.R.; Stewart, D.; Verhagen, J.; Gaiser, T.; Palosuo, T.; Tao, F.; Nendel, C.; Roggero, P.P.; Bartošová, L.; Asseng, S. url  openurl
  Title Crop modelling for integrated assessment of risk to food production from climate change Type Report
  Year 2015 Publication FACCE MACSUR Reports Abbreviated Journal  
  Volume 6 Issue (up) Pages D-C0.3  
  Keywords  
  Abstract The complexity of risks posed by climate change and possible adaptations for crop production has called for integrated assessment and modelling (IAM) approaches linking biophysical and economic models. This paper attempts to provide an overview of the present state of crop modelling to assess climate change risks to food production and to which extent crop models comply with IAM demands. Considerable progress has been made in modelling effects of climate variables, where crop models best satisfy IAM demands. Demands are partly satisfied for simulating commonly required assessment variables. However, progress on the number of simulated crops, uncertainty propagation related to model parameters and structure, adaptations and scaling are less advanced and lagging behind IAM demands. The limitations are considered substantial and apply to a different extent to all crop models. Overcoming these limitations will require joint efforts, and consideration of novel modelling approaches. No Label  
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  Notes Approved no  
  Call Number MA @ admin @ Serial 2089  
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