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Author Katajajuuri, J.-M.; Pulkkinen, H.; Hietala, S.; Järvenranta, K.; Virkajärvi, P.; Nousiainen, J.I.; Huuskonen, A. url  doi
openurl 
  Title A holistic, dynamic model to quantify and mitigate the environmental impacts of cattle farming Type Journal Article
  Year 2015 Publication Advances in Animal Biosciences Abbreviated Journal (up) Advances in Animal Biosciences  
  Volume 6 Issue 01 Pages 35-36  
  Keywords GHG mitigation; LCA; livestock; dynamic farm model  
  Abstract  
  Address  
  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 2040-4700 ISBN Medium Article  
  Area Expedition Conference  
  Notes LiveM, ft_macsur Approved no  
  Call Number MA @ admin @ Serial 4680  
Permanent link to this record
 

 
Author Wu, L.; Whitmore, A.P.; Bellocchi, G. url  doi
openurl 
  Title Modelling the impact of environmental changes on grassland systems with SPACSYS Type Journal Article
  Year 2015 Publication Advances in Animal Biosciences Abbreviated Journal (up) Advances in Animal Biosciences  
  Volume 6 Issue 01 Pages 37-39  
  Keywords grassland production; dynamic simulation model; primary production; ecosystem respiration  
  Abstract  
  Address  
  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 2040-4700 2040-4719 ISBN Medium Article  
  Area Expedition Conference  
  Notes CropM, LiveM, ft_macsur Approved no  
  Call Number MA @ admin @ Serial 4655  
Permanent link to this record
 

 
Author Sándor, R.; Ma, S.; Acutis, M.; Barcza, Z.; Ben Touhami, H.; Doro, L.; Hidy, D.; Köchy, M.; Lellei-Kovács, E.; Minet, J.; Perego, A.; Rolinski, S.; Ruget, F.; Seddaiu, G.; Wu, L.; Bellocchi, G. url  doi
openurl 
  Title Uncertainty in simulating biomass yield and carbon–water fluxes from grasslands under climate change Type Journal Article
  Year 2015 Publication Advances in Animal Biosciences Abbreviated Journal (up) Advances in Animal Biosciences  
  Volume 6 Issue 01 Pages 49-51  
  Keywords grassland productivity; carbon balance; model simulation; uncertainty; sensitivity  
  Abstract  
  Address  
  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 2040-4700 ISBN Medium Article  
  Area Expedition Conference  
  Notes CropM, LiveM, ft_macsur Approved no  
  Call Number MA @ admin @ Serial 4651  
Permanent link to this record
 

 
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 (up) Advances in Animal Biosciences  
  Volume 6 Issue 01 Pages 43-45  
  Keywords global dynamic vegetation model; LPJmL; grasslands; livestock production  
  Abstract  
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  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 ISBN Medium Article  
  Area Expedition Conference  
  Notes CropM, LiveM, ft_macsur Approved no  
  Call Number MA @ admin @ Serial 4541  
Permanent link to this record
 

 
Author von Lampe, M.; Willenbockel, D.; Ahammad, H.; Blanc, E.; Cai, Y.; Calvin, K.; Fujimori, S.; Hasegawa, T.; Havlik, P.; Heyhoe, E.; Kyle, P.; Lotze-Campen, H.; Mason, d’C., Daniel; Nelson, G.C.; Sands, R.D.; Schmitz, C.; Tabeau, A.; Valin, H.; van der Mensbrugghe, D.; van Meijl, H. doi  openurl
  Title Why do global long-term scenarios for agriculture differ? An overview of the AgMIP Global Economic Model Intercomparison Type Journal Article
  Year 2014 Publication Agricultural Economics Abbreviated Journal (up) Agric. Econ.  
  Volume 45 Issue 1 Pages 3-3  
  Keywords Computable general equilibrium; Partial equilibrium; Meta-analysis; Socioeconomic pathway; Climate change; Bioenergy; Land use; Model; intercomparison; land-use change; food demand; crop productivity; climate-change; future  
  Abstract Recent studies assessing plausible futures for agricultural markets and global food security have had contradictory outcomes. To advance our understanding of the sources of the differences, 10 global economic models that produce long-term scenarios were asked to compare a reference scenario with alternate socioeconomic, climate change, and bioenergy scenarios using a common set of key drivers. Several key conclusions emerge from this exercise: First, for a comparison of scenario results to be meaningful, a careful analysis of the interpretation of the relevant model variables is essential. For instance, the use of real world commodity prices differs widely across models, and comparing the prices without accounting for their different meanings can lead to misleading results. Second, results suggest that, once some key assumptions are harmonized, the variability in general trends across models declines but remains important. For example, given the common assumptions of the reference scenario, models show average annual rates of changes of real global producer prices for agricultural products on average ranging between -0.4% and +0.7% between the 2005 base year and 2050. This compares to an average decline of real agricultural prices of 4% p.a. between the 1960s and the 2000s. Several other common trends are shown, for example, relating to key global growth areas for agricultural production and consumption. Third, differences in basic model parameters such as income and price elasticities, sometimes hidden in the way market behavior is modeled, result in significant differences in the details. Fourth, the analysis shows that agro-economic modelers aiming to inform the agricultural and development policy debate require better data and analysis on both economic behavior and biophysical drivers. More interdisciplinary modeling efforts are required to cross-fertilize analyses at different scales.  
  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 0169-5150 ISBN Medium Article  
  Area Expedition Conference  
  Notes TradeM, ft_macsur Approved no  
  Call Number MA @ admin @ Serial 4822  
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