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Author Kersebaum, K.-C.; Wallor, E.; Ventrella, D.; Cammarano, D.; Choucheney, E.; Ewert, F.; Ferrise, R.; Gaiser, T.; Garofalo, P.; Giglio, L.; Giola, P.; Hoffmann, M.; Laan, M.; Lewan, E.; Maharjan, G.R.; Moriondo, M.; Mula, L.; Nendel, C.; Pohankova, E.; Roggero, P.P.; Trnka, M.; Trombi, G. url  openurl
  Title (up) Comparison of site sensitivity of crop models using spatially variable field data from Precision Agriculture Type Report
  Year 2017 Publication FACCE MACSUR Reports Abbreviated Journal  
  Volume 10 Issue Pages C1.1-D2  
  Keywords  
  Abstract Site conditions and soil properties have a strong influence on impacts of climate change on crop production. Vulnerability of crop production to changing climate conditions is highly determined by the ability of the site to buffer periods of adverse climatic situations like water scarcity or excessive rainfall.  Therefore, the capability of models to reflect crop responses and water and nutrient dynamics under different site conditions is essential to assess climate impact even on a regional scale. To test and improve sensitivity of models to various site properties such as soil variability and hydrological boundary conditions, spatial variable data sets from precision farming of two fields in Germany and Italy were provided to modellers. For the German 20 ha field soil and management data for 60 grid points for 3 years (2 years wheat, 1 year triticale) were provided. For the Italian field (12 ha) information for 100 grid points were available for three growing seasons of durum wheat. Modellers were asked to run their models using a) the model specific procedure to estimate soil hydraulic properties from texture using their standard procedure and use in step b) fixed values for field capacity and wilting point derived from soil taxonomy. Only the phenology and crop yield of one grid point provided for a basic calibration. In step c) information for all grid points of the first year (yield, soil water and mineral N content for Germany, yield, biomass and LAI for Italy) were provided. First results of five out of twelve participating models are compared against measured state variables analysing their site specific response and consistency across crop and soil variables. (Main text to be published in a peer-reviewed journal)  
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  Notes CropM Approved no  
  Call Number MA @ admin @ Serial 4951  
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Author Savary, S.; Nelson, A.D.; Djurle, A.; Esker, P.; Sparks, A.; Amorim, L.; Bergamin Filho, A.; Caffi, T.; Castilla, N.; Garrett, K.; McRoberts, N.; Rossi, V.; Yuen, J.; Willocquet, L. url  openurl
  Title (up) Concepts, approaches, and avenues for modelling crop health and crop losses Type Report
  Year 2017 Publication FACCE MACSUR Reports Abbreviated Journal  
  Volume 10 Issue Pages C1.5-D  
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  Abstract Main text in preparation for publication in a peer-reviewed journal)  
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  Notes CropM Approved no  
  Call Number MA @ admin @ Serial 4952  
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Author Zhai, R.; Tao, F. doi  openurl
  Title (up) Contributions of climate change and human activities to runoff change in seven typical catchments across China Type Journal Article
  Year 2017 Publication Science of the Total Environment Abbreviated Journal Sci. Tot. Environ.  
  Volume 605 Issue Pages 219-229  
  Keywords Catchments; Detection; Attribution; Runoff; VIC; Water resource; Weihe River-Basin; Hydrologic Response; Temporal-Changes; Loess Plateau; United-States; Yellow-River; Streamflow; Impacts; Variability; Model  
  Abstract Climate change and human activities are two major factors affecting water resource change. It is important to understand the roles of the major factors in affecting runoff change in different basins for watershed management. Here, we investigated the trends in climate and runoff in seven typical catchments in seven basins across China from 1961 to 2014. Then we attributed the runoff change to climate change and human activities in each catchment and in three time periods (1980s, 1990s and 2000s), using the VIC model and long-term runoff observation data. During 1961-2014, temperature increased significantly, while the trends in precipitation were insignificant in most of the catchments and inconsistent among the catchments. The runoff in most of the catchments showed a decreasing trend except the Yingluoxia catchment in the northwestern China. The contributions of climate change and human activities to runoff change varied in different catchments and time periods. In the 1980s, climate change contributed more to runoff change than human activities, which was 84%, 59%,-66%,-50%, 59%, 94%, and -59% in the Nianzishan, Yingluoxia, Xiahui, Yangjiaping, Sanjiangkou, Xixian, and Changle catchment, respectively. After that, human activities had played a more essential role in runoff change. In the 1990s and 2000s, human activities contributed more to runoff change than in the 1980s. The contribution by human activities accounted for 84%,- 68%, and 67% in the Yingluoxia, Xiahui, and Sanjiangkou catchment, respectively, in the 1990s; and -96%,-67%,-94%, and -142% in the Nianzishan, Yangjiaping, Xixian, and Changle catchment, respectively, in the 2000s. It is also noted that after 2000 human activities caused decrease in runoff in all catchments except the Yingluoxia. Our findings highlight that the effects of human activities, such as increase in water withdrawal, land use/cover change, operation of dams and reservoirs, should be well managed. (C) 2017 Elsevier B.V. All rights reserved.  
  Address 2017-09-14  
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  Language English Summary Language Original Title  
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  ISSN 0048-9697 ISBN Medium Article  
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  Notes CropM, ft_macsur Approved no  
  Call Number MA @ admin @ Serial 5177  
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Author Van Oijen, M.; Cameron, D.; Levy, P.E.; Preston, R. url  doi
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  Title (up) Correcting errors from spatial upscaling of nonlinear greenhouse gas flux models Type Journal Article
  Year 2017 Publication Environmental Modelling & Software Abbreviated Journal Environmental Modelling & Software  
  Volume 94 Issue Pages 157-165  
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  ISSN 1364-8152 ISBN Medium article  
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  Notes CropM, ft_macsur Approved no  
  Call Number MA @ admin @ Serial 4945  
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Author Mandryk, M.; Reidsma, P.; van Ittersum, M.K. url  doi
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  Title (up) Crop and farm level adaptation under future climate challenges: An exploratory study considering multiple objectives for Flevoland, the Netherlands Type Journal Article
  Year 2017 Publication Agricultural Systems Abbreviated Journal Agric. Syst.  
  Volume 152 Issue Pages 154-164  
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  ISSN 0308521x ISBN Medium  
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  Notes CropM, ftnotmacsur Approved no  
  Call Number MA @ admin @ Serial 4982  
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