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Author Eyshi Rezaei, E.; Siebert, S.; Ewert, F. url  doi
openurl 
  Title Impact of data resolution on heat and drought stress simulated for winter wheat in Germany Type Journal Article
  Year 2015 Publication European Journal of Agronomy Abbreviated Journal European Journal of Agronomy  
  Volume 65 Issue Pages 69-82  
  Keywords crop modeling; heat; drought; spatial resolution; wheat; high-temperature stress; climate-change; grain-yield; crop models; data aggregation; abiotic stress; short periods; variability; growth; duration  
  Abstract Heat and drought stress can reduce crop yields considerably which is increasingly assessed with crop models for larger areas. Applying these models originally developed for the field scale at large spatial extent typically implies the use of input data with coarse resolution. Little is known about the effect of data resolution on the simulated impact of extreme events like heat and drought on crops. Hence, in this study the effect of input and output data aggregation on simulated heat and drought stress and their impact on yield of winter wheat is systematically analyzed. The crop model SIMPLACE was applied for the period 1980-2011 across Germany at a resolution of 1 km x 1 km. Weather and soil input data and model output data were then aggregated to 10 km x 10 km, 25 km x 25 km, 50 km x 50 km and 100 km x 100 km resolution to analyze the aggregation effect on heat and drought stress and crop yield. We found that aggregation of model input and output data barely influenced the mean and median of heat and drought stress reduction factors and crop yields simulated across Germany. However, data aggregation resulted in less spatial variability of model results and a reduced severity of simulated stress events, particularly for regions with high heterogeneity in weather and soil conditions. Comparisons of simulations at coarse resolution with those at high resolution showed distinct patterns of positive and negative deviations which compensated each other so that aggregation effects for large regions were small for mean or median yields. Therefore, modelling at a resolution of 100 km x 100 km was sufficient to determine mean wheat yield as affected by heat and drought stress for Germany. Further research is required to clarify whether the results can be generalized across crop models differing in structure and detail. Attention should also be given to better understand the effect of data resolution on interactions between heat and drought impacts. (C) 2015 Elsevier B.V. All rights reserved.  
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  Language English Summary Language Original Title  
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  Series Volume Series Issue Edition  
  ISSN 1161-0301 ISBN Medium Article  
  Area Expedition Conference  
  Notes CropM, ft_macsur Approved no  
  Call Number MA @ admin @ Serial 4751  
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Author Fereres, A. openurl 
  Title Photoselective barriers for managing insect vectors of virus diseases in protected environments Type Conference Article
  Year 2012 Publication Abbreviated Journal  
  Volume Issue Pages  
  Keywords CropM  
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  Area Expedition Conference Agricultural Film Interntional Conference (MAdrid), 2012-11-06 to 2012-11-08  
  Notes Approved no  
  Call Number MA @ admin @ Serial 2433  
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Author Fereres, A. openurl 
  Title Insect behaviour and management options under UV-deficient enclosures Type Conference Article
  Year 2012 Publication Abbreviated Journal  
  Volume Issue Pages  
  Keywords CropM  
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  Area Expedition Conference “Plant responses to UV radiation: from individuals to ecosystems”. COST UV4Growth (FA0906: UV-B radiation: A specific regulator of plant growth and food quality in a changing climate)., 2012-04-25 to 2012-04-26  
  Notes Approved no  
  Call Number MA @ admin @ Serial 2432  
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Author Ewert, F.; Boote, K.J.; Rötter, R.P.; Thorburn, P.; Nendel, C. (eds) openurl 
  Title Crop modelling for agriculture and food security under global change. Abstracts. International Crop Modelling Symposium iCROPM2016, 15-17 March 2016, Berlin, Germany Type Book Whole
  Year 2016 Publication Abbreviated Journal  
  Volume Issue Pages  
  Keywords CropM; MACSUR_ACK  
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  Publisher Place of Publication Berlin Editor Ewert, F.; Boote, K.J.; Rötter, R.P.; Thorburn, P.; Nendel, C.  
  Language Summary Language Original Title  
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  Area Expedition Conference  
  Notes Approved no  
  Call Number MA @ admin @ Serial 2428  
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Author Niemi, J. openurl 
  Title Framework of stochastic gross margin volatility modeling of crop rotation with farm management practices Type Report
  Year 2016 Publication FACCE MACSUR Reports Abbreviated Journal  
  Volume 9 C6 - Issue Pages Sp9-7  
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  Abstract DP models with risk aversion through meanvariancespecification is already implemented inLuke and applied in North Savo regionHOWEVER climate change, e.g. changes in mean andvariance of crop yiels, still not yet taken into account– Recently, such crop modelling results have becomeavailble for wheat as well, not only for barley– Still CC impact available for 2 cereals crops only, whilemost farms cultivate more than 2 crops Some early conclusions• The suggested approach is consistent in terms of DPprinciples and mean-variance approach and can provideconsistent results for farm scale risk analysis• It is however hard to utilise the approach except assuming afarm with only few crops (those with crop modelling / otherresults of climate change effects on mean and (co-variance)© Natural Resources Institute Finland• Assuming no change in price (co)variability is a majorsimplification results show farm level (or local) effects ofchanges in mean yields and yield (co)variability only  
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  Notes Approved no  
  Call Number MA @ admin @ Serial 4849  
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