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Author (up) Haas, E.; Klatt, S.; Kiese, R.; Santa Barbara Ruiz, I.; Kraus, D. url  openurl
  Title Parameter-induced uncertainty quantification of a regional N2O and NO3 inventory using the biogeochemical model LandscapeDNDC Type Conference Article
  Year 2014 Publication Abbreviated Journal  
  Volume Issue Pages  
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  Abstract In this study we quantify regional parameter-induced model uncertainty on nitrous oxide (N2O) emissions and nitrate (NO3) leaching from arable soils of Saxony (Germany) using the biogeochemical model LandscapeDNDC. For this we calculate a regional inventory using a joint parameter distribution for key parameters describing microbial C and N turnover processes as obtained by a Bayesian calibration study. We representatively sampled 400 different parameter vectors from the discrete joint parameter distribution comprising approximately 400,000 parameter combinations and used these to calculate 400 individual realizations of the regional inventory. The spatial domain (represented by 4042 polygons) is set up with spatially explicit soil and climate information and a region-typical 3-year crop rotation consisting of winter wheat, rape- seed, and winter barley. Average N2O emission from arable soils in the state of Saxony across all 400 realizations was 1.43 ± 1.25 [kg N / ha] with a median value of 1.05 [kg N / ha]. Using the default IPCC emission factor approach (Tier 1) for direct emissions reveal a higher average N2O emission of 1.51 [kg N / ha] due to fertilizer use. In the regional uncertainty quantification the 20% likelihood range for N2O emissions is 0.79 – 1.37 [kg N / ha] (50% likelihood: 0.46 – 2.05 [kg N / ha]; 90% likelihood: 0.11 – 4.03 [kg N / ha]). Respective quantities were calculated for nitrate leaching.  
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  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title FACCE MACSUR Mid-term Scientific Conference  
  Series Volume 3(S) Sassari, Italy Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference FACCE MACSUR Mid-term Scientific Conference, 2014-04-01 to 2014-04-04, Sassari, Italy  
  Notes Approved no  
  Call Number MA @ admin @ Serial 5111  
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Author (up) Harstad, O.M.; Bonesmo, H.S.; Özkan, S. url  openurl
  Title MACSUR – utfordringer for husdyrproduksjon i et framtidig klima (MACSUR- Challenges for livestock production in a future climate) Type Conference Article
  Year 2014 Publication Abbreviated Journal  
  Volume Issue Pages  
  Keywords LiveM  
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  Area Expedition Conference Bioforsk-konferansen 2014, Hamar Norway, 2014-02-01 to 2014-02-04  
  Notes Approved no  
  Call Number MA @ admin @ Serial 2466  
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Author (up) Havlik, P. openurl 
  Title Climate change impacts on agricultural sector: A global perspective Type Conference Article
  Year 2014 Publication Abbreviated Journal  
  Volume Issue Pages  
  Keywords TradeM  
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  Area Expedition Conference TradeM Stakeholder Workshop Vienna, 2014-03-24 to 2014-03-24  
  Notes Approved no  
  Call Number MA @ admin @ Serial 2467  
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Author (up) Havlik, P.; Leclere, D.; Valin, H.; Herrero, M.; Schmid, E.; Obersteiner, M. url  openurl
  Title Effects of climate change on feed availability and the implications for the livestock sector Type Conference Article
  Year 2014 Publication Abbreviated Journal  
  Volume Issue Pages  
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  Abstract Global mean surface temperature is projected to rise by 0.4-2.6°C until 2050, and the contrast in precipitations between wet and dry regions and wet and dry seasons will also increase according to the IPCC 5th Assessment Report (2013). The climate change will impact livestock in many ways going from heat stress through livestock diseases to feed quality and availability (Thornton et al., 2009). Recently, projected climate change impacts on crop and grassland productivity became available with high spatial resolution at global scale through the AgMIP and ISI-MIP projects. The objective of this paper is to investigate how climate change impacts on crops and grassland will influence livestock production globally and its distribution across regions. This analysis is carried out using the global partial equilibrium agricultural and forestry sector model GLOBIOM (Havlík et al., 2013). The model represents agricultural production at a spatial resolution going down to 5 x 5 minutes of arc. Crop and grassland productivities are estimated by means of biophysical process based models (EPIC and CENTURY) at this resolution for current and future climate. Livestock representation follows a simplified version of the Seré and Steinfeld (1996) production system classification. This approach recognizes differences in feed base and productivities between grazing and mixed crop-livestock production systems across different agro-ecological zones (arid, humid, temperate/highlands). Our study highlights that the differential impacts of climate change on crop and grassland productivity will influence the relative competitiveness of different livestock production systems. Maintaining livestock production in some regions will depend on their capacity to adapt. Institutional and physical infrastructure will be needed to facilitate these transformations.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title FACCE MACSUR Mid-term Scientific Conference  
  Series Volume 3(S) Sassari, Italy Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference FACCE MACSUR Mid-term Scientific Conference, 2014-04-01 to 2014-04-04, Sassari, Italy  
  Notes Approved no  
  Call Number MA @ admin @ Serial 5076  
Permanent link to this record
 

 
Author (up) Helming, K. url  doi
openurl 
  Title Impact Assessment for Multifunctional Land Use Type Book Chapter
  Year 2014 Publication Abbreviated Journal  
  Volume Issue Pages 223-234  
  Keywords CropM  
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  Publisher Springer International Publishing Place of Publication Cham Editor Mueller, L.; Saparov, A.; Lischeid, G.  
  Language Summary Language Original Title  
  Series Editor Series Title Environmental Science and Engineering Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number MA @ admin @ Serial 2471  
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