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Asseng, S.; Ewert, F.; Rosenzweig, C.; Jones, J.W.; Hatfield, J.L.; Ruane, A.C.; Boote, K.J.; Thorburn, P.J.; Rötter, R.P.; Cammarano, D.; Brisson, N.; Basso, B.; Martre, P.; Aggarwal, P.K.; Angulo, C.; Bertuzzi, P.; Biernath, C.; Challinor, A.J.; Doltra, J.; Gayler, S.; Goldberg, R.; Grant, R.; Heng, L.; Hooker, J.; Hunt, L.A.; Ingwersen, J.; Izaurralde, R.C.; Kersebaum, K.C.; Müller, C.; Naresh Kumar, S.; Nendel, C.; O’Leary, G.; Olesen, J.E.; Osborne, T.M.; Palosuo, T.; Priesack, E.; Ripoche, D.; Semenov, M.A.; Shcherbak, I.; Steduto, P.; Stöckle, C.; Stratonovitch, P.; Streck, T.; Supit, I.; Tao, F.; Travasso, M.; Waha, K.; Wallach, D.; White, J.W.; Williams, J.R.; Wolf, J. |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Uncertainty in simulating wheat yields under climate change |
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Journal Article |
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2013 |
Publication |
Nature Climate Change |
Abbreviated Journal |
Nat. Clim. Change |
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3 |
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9 |
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827-832 |
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crop production; models; food; co2; temperature; projections; adaptation; scenarios; ensemble; impacts |
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Projections of climate change impacts on crop yields are inherently uncertain(1). Uncertainty is often quantified when projecting future greenhouse gas emissions and their influence on climate(2). However, multi-model uncertainty analysis of crop responses to climate change is rare because systematic and objective comparisons among process-based crop simulation models(1,3) are difficult(4). Here we present the largest standardized model intercomparison for climate change impacts so far. We found that individual crop models are able to simulate measured wheat grain yields accurately under a range of environments, particularly if the input information is sufficient. However, simulated climate change impacts vary across models owing to differences in model structures and parameter values. A greater proportion of the uncertainty in climate change impact projections was due to variations among crop models than to variations among downscaled general circulation models. Uncertainties in simulated impacts increased with CO2 concentrations and associated warming. These impact uncertainties can be reduced by improving temperature and CO2 relationships in models and better quantified through use of multi-model ensembles. Less uncertainty in describing how climate change may affect agricultural productivity will aid adaptation strategy development and policymaking. |
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1758-678x |
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CropM, ftnotmacsur, IPCC-AR5 |
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MA @ admin @ |
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4599 |
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Author |
Scholten, M.C.T. |
![goto web page (via DOI) doi](img/doi.gif)
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Research and innovation for a competitive and sustainable animal production sector in a climate changing Europe: linking up MACSUR with Animal Task Force |
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Journal Article |
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2015 |
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Advances in Animal Biosciences |
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Advances in Animal Biosciences |
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6 |
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01 |
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1-2 |
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animal health; livestock; climate smart production; integration |
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2040-4700 |
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LiveM, ft_macsur |
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MA @ admin @ |
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4717 |
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Llonch, P.; Lawrence, A.B.; Haskell, M.J.; Blanco-Penedo, I.; Turner, S.P. |
![goto web page (via DOI) doi](img/doi.gif)
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The need for a quantitative assessment of animal welfare trade-offs in climate change mitigation scenarios |
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Journal Article |
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2015 |
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Advances in Animal Biosciences |
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Advances in Animal Biosciences |
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6 |
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01 |
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9-11 |
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GHG mitigation; animal welfare; sustainable production |
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2040-4700 |
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LiveM, ft_macsur |
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MA @ admin @ |
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4677 |
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Ruete, A.; Velarde, A.; Blanco-Penedo, I. |
![goto web page (via DOI) doi](img/doi.gif)
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Eco-DREAMS-S: modelling the impact of climate change on milk performance in organic dairy farms |
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Journal Article |
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2015 |
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Advances in Animal Biosciences |
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Advances in Animal Biosciences |
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6 |
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01 |
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21-23 |
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dairy; organic; THI; heat stress; milk production |
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2040-4700 |
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LiveM, ft_macsur |
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MA @ admin @ |
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4679 |
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Wu, L.; Whitmore, A.P.; Bellocchi, G. |
![goto web page (via DOI) doi](img/doi.gif)
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Modelling the impact of environmental changes on grassland systems with SPACSYS |
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Journal Article |
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2015 |
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Advances in Animal Biosciences |
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Advances in Animal Biosciences |
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6 |
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01 |
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37-39 |
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grassland production; dynamic simulation model; primary production; ecosystem respiration |
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2040-4700 2040-4719 |
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CropM, LiveM, ft_macsur |
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MA @ admin @ |
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4655 |
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