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Author Soussana, J.-F.; Fereres, E.; Long, S.P.; Mohren, F.G.M.J.; Pandya-Lorch, R.; Peltonen-Sainio, P.; Porter, J.R.; Rosswall, T.; von Braun, J. doi  openurl
  Title A European science plan to sustainably increase food security under climate change Type Journal Article
  Year 2012 Publication Global Change Biology Abbreviated Journal Glob. Chang. Biol.  
  Volume 18 Issue 11 Pages 3269-3271  
  Keywords  
  Abstract  
  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 1354-1013 ISBN Medium Letter  
  Area Expedition Conference (up)  
  Notes CropM, ftnotmacsur Approved no  
  Call Number MA @ admin @ Serial 4815  
Permanent link to this record
 

 
Author Rötter, R.P.; Höhn, J.G.; Fronzek, S. url  doi
openurl 
  Title Projections of climate change impacts on crop production: A global and a Nordic perspective Type Journal Article
  Year 2012 Publication Acta Agriculturae Scandinavica, Section A – Animal Science Abbreviated Journal Acta Agriculturae Scandinavica, Section A – Animal Science  
  Volume 62 Issue 4 Pages 166-180  
  Keywords climate change; impact projection; food production; uncertainty; crop simulation model; food security; integrated assessment; winter-wheat; scenarios; agriculture; adaptation; temperature; models; yield; scale  
  Abstract Global climate is changing and food production is very sensitive to weather and climate variations. Global assessments of climate change impacts on food production have been made since the early 1990s, initially with little attention to the uncertainties involved. Although there has been abundant analysis of uncertainties in future greenhouse gas emissions and their impacts on the climate system, uncertainties related to the way climate change projections are scaled down as appropriate for different analyses and in modelling crop responses to climate change, have been neglected. This review paper mainly addresses uncertainties in crop impact modelling and possibilities to reduce them. We specifically aim to (i) show ranges of projected climate change-induced impacts on crop yields, (ii) give recommendations on use of emission scenarios, climate models, regionalization and ensemble crop model simulations for different purposes and (iii) discuss improvements and a few known unknowns’ affecting crop impact projections.  
  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 0906-4702 1651-1972 ISBN Medium Article  
  Area Expedition Conference (up)  
  Notes CropM, ftnotmacsur Approved no  
  Call Number MA @ admin @ Serial 4802  
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Author Rötter, R.P.; Palosuo, T.; Kersebaum, K.C.; Angulo, C.; Bindi, M.; Ewert, F.; Ferrise, R.; Hlavinka, P.; Moriondo, M.; Nendel, C.; Olesen, J.E.; Patil, R.H.; Ruget, F.; Takác, J.; Trnka, M. url  doi
openurl 
  Title Simulation of spring barley yield in different climatic zones of Northern and Central Europe: A comparison of nine crop models Type Journal Article
  Year 2012 Publication Field Crops Research Abbreviated Journal Field Crops Research  
  Volume 133 Issue Pages 23-36  
  Keywords climate; crop growth simulation; model comparison; spring barley; yield variability; uncertainty; change impacts; nitrogen dynamics; high-temperature; soil-moisture; elevated co2; ceres-wheat; data set; growth; drought; sensitivity  
  Abstract In this study, the performance of nine widely used and accessible crop growth simulation models (APES-ACE, CROPSYST, DAISY, DSSAT-CERES, FASSET, HERMES, MONICA, STICS and WOFOST) was compared during 44 growing seasons of spring barley (Hordeum vulgare L) at seven sites in Northern and Central Europe. The aims of this model comparison were to examine how different process-based crop models perform at multiple sites across Europe when applied with minimal information for model calibration of spring barley at field scale, whether individual models perform better than the multi-model mean, and what the uncertainty ranges are in simulated grain yields. The reasons for differences among the models and how results for barley compare to winter wheat are discussed. Regarding yield estimation, best performing based on the root mean square error (RMSE) were models HERMES, MONICA and WOFOST with lowest values of 1124, 1282 and 1325 (kg ha(-1)), respectively. Applying the index of agreement (IA), models WOFOST, DAISY and HERMES scored best having highest values (0.632, 0.631 and 0.585, respectively). Most models systematically underestimated yields, whereby CROPSYST showed the highest deviation as indicated by the mean bias error (MBE) (-1159 kg ha(-1)). While the wide range of simulated yields across all sites and years shows the high uncertainties in model estimates with only restricted calibration, mean predictions from the nine models agreed well with observations. Results of this paper also show that models that were more accurate in predicting phenology were not necessarily the ones better estimating grain yields. Total above-ground biomass estimates often did not follow the patterns of grain yield estimates and, thus, harvest indices were also different. Estimates of soil moisture dynamics varied greatly. In comparison, even though the growing cycle for winter wheat is several months longer than for spring barley, using RMSE and IA as indicators, models performed slightly, but not significantly, better in predicting wheat yields. Errors in reproducing crop phenology were similar, which in conjunction with the shorter growth cycle of barley has higher effects on accuracy in yield prediction. (C) 2012 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 0378-4290 ISBN Medium Article  
  Area Expedition Conference (up)  
  Notes CropM, ftnotmacsur Approved no  
  Call Number MA @ admin @ Serial 4803  
Permanent link to this record
 

 
Author Orsini, F.; Alnayef, M.; Bona, S.; Maggio, A.; Gianquinto, G. url  doi
openurl 
  Title Low stomatal density and reduced transpiration facilitate strawberry adaptation to salinity Type Journal Article
  Year 2012 Publication Environmental and Experimental Botany Abbreviated Journal Environmental and Experimental Botany  
  Volume 81 Issue Pages 1-10  
  Keywords stomatal density; leaf gas exchanges; transpiration; salt tolerance; osmotic adjustment; salt-stress tolerance; water-use efficiency; nacl salinity; hydraulic conductivity; irrigation water; dynamic indexes; leaf expansion; abscisic-acid; growth; plants  
  Abstract Water and soil salinization are major constraints to agricultural productions because plant adaptation to hyperosmotic environments is generally associated to reduced growth and ultimately yield loss. Understanding the physiological/molecular mechanisms that link adaptation and growth is one of the greatest challenges in plant stress research since it would allow us to better define strategies to improve crop salt tolerance. In this study we attempted to establish a functional link between morphological and physiological traits in strawberry in order to identify margins to “uncouple” plant growth and stress adaptation. Two strawberry cultivars, Elsanta and Elsinore, were grown under 0, 10.20 and 40 mM NaCl. Upon salinization Elsanta plants maintained a larger and more functional leaf area compared to Elsinore plants, which were irreversibly damaged at 40 mM NaCl. The tolerance of Elsanta was correlated with a constitutive reduced transpirational flux due to low stomata! density (173 vs. 234 stomata mm(-2) in Elsanta and Elsinore, respectively), which turned out to be critical to pre-adapt plants to the oncoming stress. The reduced transpiration rate of Elsanta (14.7 g H2O plant(-1) h(-1)) respect to Elsinore (17.7 g H2O plant(-1) h(-1)) most likely delayed the accumulation of toxic ions into the leaves, preserved tissues dehydration and consented to adjust more effectively to the hyperosmotic environment. Although we cannot rule out the contribution of other physiological and molecular mechanisms to the relatively higher tolerance of Elsanta, here we demonstrate that low stomatal density may be beneficial for cultivars prescribed to be used in marginal environments in terms of salinity and/or drought. (C) 2012 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 0098-8472 ISBN Medium Article  
  Area Expedition Conference (up)  
  Notes CropM Approved no  
  Call Number MA @ admin @ Serial 4797  
Permanent link to this record
 

 
Author Porter, J.R.; Soussana, J.-F.; Fereres, E.; Long, S.; Mohren, F.; Peltonen-Sainio, P.; von Braun, J. url  doi
openurl 
  Title European Perspectives: An Agronomic Science Plan for Food Security in a Changing Climate Type Book Chapter
  Year 2012 Publication Abbreviated Journal  
  Volume Issue Pages  
  Keywords CropM  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Co-Published With Imperial College Press Place of Publication Editor Hillel, D.; Rosenzweig, C.  
  Language Summary Language Original Title  
  Series Editor Series Title Handbook of Climate Change and Agroecosystems: Global and Regional Aspects and Implications Abbreviated Series Title  
  Series Volume ICP Series on Climate Change Impacts, Adaptation, Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference (up)  
  Notes Approved no  
  Call Number MA @ admin @ Serial 2732  
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