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Author Höglind, M.; Thorsen, S.M.; Semenov, M.A. url  doi
openurl 
  Title Assessing uncertainties in impact of climate change on grass production in Northern Europe using ensembles of global climate models Type Journal Article
  Year 2013 Publication Agricultural and Forest Meteorology Abbreviated Journal Agricultural and Forest Meteorology  
  Volume 170 Issue Pages 103-113  
  Keywords climatic variability; frost damage; grass modelling; ice damage; multi-model ensemble; elevated co2 concentration; phleum-pratense l; timothy regrowth; change scenarios; winter survival; meadow fescue; crop yields; growth; frost; temperature  
  Abstract Forage-based dairy and livestock production is the backbone of agriculture in Northern Europe in economic terms. Changes in growing conditions that affect forage grass yield may have great economic consequences. This study assessed the impact of climate change on two grass species, timothy and ryegrass, at 14 locations in Northern Europe (Iceland, Scandinavia, Baltic countries) in a near-future scenario (2040-2065) compared with the baseline period 1960-1990. Local-scale climate scenarios were based on the CMIP3 multi-model ensembles of 15 global climate models in order to quantify the uncertainty in the impacts relating to highly uncertain projections of future climate. Potential yield of timothy, the most important perennial forage grass in Northern Europe, was simulated under the assumption of optimal overwintering conditions and current CO2 level, in order to obtain an estimate of the effect of changes in summer climate per se. The risk of frost and ice damage during winter was also assessed. The simulation results demonstrated that potential grass yield will increase throughout the study area, mainly as a result of increased growing temperatures. The yield response to climate change was slightly larger in irrigated than non-irrigated conditions (14% and 11%, respectively), due to larger water deficit for the 2050 scenario. However, a geo-climatic gradient was evident, with the largest predicted yield response at western locations. A geo-climatic gradient was also revealed with respect to potential frost damage, which was predicted to increase during winter in some areas east of the Baltic Sea for timothy, and for a larger number of locations both east and west of the Baltic Sea for perennial ryegrass. The risk of frost damage in spring was predicted to increase mainly in western parts of the study area. If frost damage to perennial ryegrass increases during winter, the expected increase in winter temperature due to global warming may not necessarily improve overwintering conditions, so the growing zone may not necessarily expand to the north and east of the study area by 2050. The uncertainty in impacts was frequently, but not consistently, greater in western than eastern locations. (C) 2012 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 0168-1923 ISBN Medium Article  
  Area Expedition Conference  
  Notes CropM, LiveM, ftnotmacsur Approved no  
  Call Number MA @ admin @ Serial (down) 4492  
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Author Calanca, P.; Semenov, M.A. url  doi
openurl 
  Title Local-scale climate scenarios for impact studies and risk assessments: integration of early 21st century ENSEMBLES projections into the ELPIS database Type Journal Article
  Year 2013 Publication Theoretical and Applied Climatology Abbreviated Journal Theor. Appl. Climatol.  
  Volume 113 Issue 3-4 Pages 445-455  
  Keywords stochastic weather generators; regional climate; lars-wg; daily; precipitation; models; simulation; europe; temperature; variability; heatwaves  
  Abstract We present the integration of early 21st century climate projections for Europe based on simulations carried out within the EU-FP6 ENSEMBLES project with the LARS-WG stochastic weather generator. The aim was to upgrade ELPIS, a repository of local-scale climate scenarios for use in impact studies and risk assessments that already included global projections from the CMIP3 ensemble and regional scenarios for Japan. To obtain a more reliable simulation of daily rainfall and extremes, changes in wet and dry series derived from daily ENSEMBLES outputs were taken into account. Kernel average smoothers were used to reduce noise arising from sampling artefacts. Examples of risk analyses based on 25-km climate projections from the ENSEMBLES ensemble of regional climate models illustrate the possibilities offered by the updated version of ELPIS. The results stress the importance of tailored information for local-scale impact assessments at the European level.  
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  ISSN 0177-798x 1434-4483 ISBN Medium Article  
  Area Expedition Conference  
  Notes CropM, ftnotmacsur Approved no  
  Call Number MA @ admin @ Serial (down) 4484  
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Author Semenov, M.A.; Stratonovitch, P. openurl 
  Title Adapting wheat for uncertain future Type Conference Article
  Year 2014 Publication Abbreviated Journal  
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  Area Expedition Conference XIII ESA congress, Debrecen, Hungary, 2014-08-25 to 2014-08-29  
  Notes Approved no  
  Call Number MA @ admin @ Serial (down) 2823  
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Author Semenov, M.A.; Stratonovitch, P. openurl 
  Title Application of evolutionary algorithms for model calibration Type Conference Article
  Year 2012 Publication Abbreviated Journal  
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  Area Expedition Conference Genetic and Evolutionary Computation Conference (GECCO 2012), Philadelphia, USA., 2012-07-07 to 2012-07-11  
  Notes Approved no  
  Call Number MA @ admin @ Serial (down) 2821  
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Author Semenov, M.A.; Pilkington-Bennett, S. url  openurl
  Title Validation of ELPIS baseline scenarios using ECA&D observed data Type Conference Article
  Year 2012 Publication Abbreviated Journal  
  Volume Issue Pages 4151-4152  
  Keywords CropM  
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  Series Editor Series Title Geophysical Research Abstracts Abbreviated Series Title  
  Series Volume 14 Series Issue Edition  
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  Area Expedition Conference European GeoSciences Union (EGU), General Assembly 2012, 2012-04-22 to 2012-04-27  
  Notes Approved no  
  Call Number MA @ admin @ Serial (down) 2820  
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