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Author Rolinski, S.; Heinke, J.; Weindl, I. url  openurl
  Title Grazing effects on grassland productivity – Linking livestock production to grass yields Type Conference Article
  Year 2014 Publication Abbreviated Journal  
  Volume Issue Pages  
  Keywords LiveM  
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  Area Expedition Conference Livestock, Climate Change and Food Security, Madrid, Spain, 2014-05-19 to 2014-05-20  
  Notes Approved no  
  Call Number MA @ admin @ Serial 2752  
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Author Rolinski, S.; Heinke, J.; I., W. url  openurl
  Title Modelling the effects of grassland management on the carbon cycle Type Conference Article
  Year 2014 Publication Abbreviated Journal  
  Volume Issue Pages  
  Keywords LiveM  
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  Area Expedition Conference European GeoSciences Union (EGU), General Assembly 2014, 2014-04-28 to 2014-05-02  
  Notes Approved no  
  Call Number MA @ admin @ Serial 2753  
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Author Elliott, J.; Müller, C.; Deryng, D.; Chryssanthacopoulos, J.; Boote, K.J.; Büchner, M.; Foster, I.; Glotter, M.; Heinke, J.; Iizumi, T.; Izaurralde, R.C.; Mueller, N.D.; Ray, D.K.; Rosenzweig, C.; Ruane, A.C.; Sheffield, J. url  doi
openurl 
  Title The Global Gridded Crop Model Intercomparison: data and modeling protocols for Phase 1 (v1.0) Type Journal Article
  Year 2015 Publication Geoscientific Model Development Abbreviated Journal Geosci. Model Dev.  
  Volume 8 Issue 2 Pages 261-277  
  Keywords land-surface model; climate-change; systems simulation; high-resolution; water; carbon; yield; agriculture; patterns; growth  
  Abstract We present protocols and input data for Phase 1 of the Global Gridded Crop Model Intercomparison, a project of the Agricultural Model Intercomparison and Improvement Project (AgMIP). The project includes global simulations of yields, phenologies, and many land-surface fluxes using 12-15 modeling groups for many crops, climate forcing data sets, and scenarios over the historical period from 1948 to 2012. The primary outcomes of the project include (1) a detailed comparison of the major differences and similarities among global models commonly used for large-scale climate impact assessment, (2) an evaluation of model and ensemble hindcasting skill, (3) quantification of key uncertainties from climate input data, model choice, and other sources, and (4) a multi-model analysis of the agricultural impacts of large-scale climate extremes from the historical record.  
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  Language English Summary Language Original Title  
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  ISSN 1991-9603 ISBN Medium Article  
  Area Expedition Conference  
  Notes CropM, ft_macsur Approved no  
  Call Number MA @ admin @ Serial 4559  
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Author Rolinski, S.; Weindl, I.; Heinke, J.; Bodirsky, B.L.; Biewald, A.; Lotze-Campen, H. url  doi
openurl 
  Title Pasture harvest, carbon sequestration and feeding potentials under different grazing intensities Type Journal Article
  Year 2015 Publication Advances in Animal Biosciences Abbreviated Journal Advances in Animal Biosciences  
  Volume 6 Issue 01 Pages 43-45  
  Keywords global dynamic vegetation model; LPJmL; grasslands; livestock production  
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  Language English Summary Language Original Title  
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  Area Expedition Conference  
  Notes CropM, LiveM, ft_macsur Approved no  
  Call Number MA @ admin @ Serial 4541  
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Author Müller, C.; Waha, K.; Bondeau, A.; Heinke, J. doi  openurl
  Title Hotspots of climate change impacts in sub-Saharan Africa and implications for adaptation and development Type Journal Article
  Year 2014 Publication Global Change Biology Abbreviated Journal Glob. Chang. Biol.  
  Volume 20 Issue 8 Pages 2505-2517  
  Keywords Africa South of the Sahara; *Climate Change; Crops, Agricultural; Environment; Hydrology; *Models, Theoretical; Uncertainty; adaptation; climate change; development; impacts; modeling; sub-Saharan Africa  
  Abstract Development efforts for poverty reduction and food security in sub-Saharan Africa will have to consider future climate change impacts. Large uncertainties in climate change impact assessments do not necessarily complicate, but can inform development strategies. The design of development strategies will need to consider the likelihood, strength, and interaction of climate change impacts across biosphere properties. We here explore the spread of climate change impact projections and develop a composite impact measure to identify hotspots of climate change impacts, addressing likelihood and strength of impacts. Overlapping impacts in different biosphere properties (e.g. flooding, yields) will not only claim additional capacity to respond, but will also narrow the options to respond and develop. Regions with severest projected climate change impacts often coincide with regions of high population density and poverty rates. Science and policy need to propose ways of preparing these areas for development under climate change impacts.  
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  ISSN 1354-1013 ISBN Medium Article  
  Area Expedition Conference  
  Notes CropM, ft_macsur Approved no  
  Call Number MA @ admin @ Serial 4534  
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