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Author Kipling, R.P.; Topp, C.F.E.; Bannink, A.; Bartley, D.J.; Blanco-Penedo, I.; Cortignani, R.; del Prado, A.; Dono, G.; Faverdin, P.; Graux, A.-I.; Hutchings, N.J.; Lauwers, L.; Gulzari, S.O.; Reidsma, P.; Rolinski, S.; Ruiz-Ramos, M.; Sandars, D.L.; Sandor, R.; Schoenhart, M.; Seddaiu, G.; van Middelkoop, J.; Shrestha, S.; Weindl, I.; Eory, V. doi  openurl
  Title To what extent is climate change adaptation a novel challenge for agricultural modellers Type Journal Article
  Year 2019 Publication Environmental Modelling & Software Abbreviated Journal Env. Model. Softw.  
  Volume 120 Issue Pages Unsp 104492  
  Keywords Adaptation; Agricultural modelling; Climate change; Research challenges; greenhouse-gas emissions; farm-level adaptation; land-use; food; security; adapting agriculture; livestock production; decision-making; change impacts; dairy farms; crop  
  Abstract Modelling is key to adapting agriculture to climate change (CC), facilitating evaluation of the impacts and efficacy of adaptation measures, and the design of optimal strategies. Although there are many challenges to modelling agricultural CC adaptation, it is unclear whether these are novel or, whether adaptation merely adds new motivations to old challenges. Here, qualitative analysis of modellers’ views revealed three categories of challenge: Content, Use, and Capacity. Triangulation of findings with reviews of agricultural modelling and Climate Change Risk Assessment was then used to highlight challenges specific to modelling adaptation. These were refined through literature review, focussing attention on how the progressive nature of CC affects the role and impact of modelling. Specific challenges identified were: Scope of adaptations modelled, Information on future adaptation, Collaboration to tackle novel challenges, Optimisation under progressive change with thresholds, and Responsibility given the sensitivity of future outcomes to initial choices under progressive change.  
  Address 2020-02-14  
  Corporate Author Thesis  
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  Language English Summary Language Original Title  
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  Series Volume Series Issue Edition  
  ISSN 1364-8152 ISBN (up) Medium Article  
  Area Expedition Conference  
  Notes LiveM, ft_macsur Approved no  
  Call Number MA @ admin @ Serial 5223  
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Author Kipling, R.P.; Özkan Gülzari, Ş. url  doi
openurl 
  Title Stakeholder engagement and the perceptions of researchers: how agricultural modellers view challenges to communication Type Journal Article
  Year 2016 Publication Advances in Animal Biosciences Abbreviated Journal Advances in Animal Biosciences  
  Volume 7 Issue 03 Pages 240-241  
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  Series Volume Series Issue Edition  
  ISSN 2040-4700 ISBN (up) Medium  
  Area Expedition Conference  
  Notes LiveM, ft_macsur Approved no  
  Call Number MA @ admin @ Serial 4870  
Permanent link to this record
 

 
Author Kipling, R.; Özkan, Ş. url  openurl
  Title Stakeholder engagement and the perceptions of researchers: How agricultural modellers view challenges to communication Type Report
  Year 2016 Publication FACCE MACSUR Reports Abbreviated Journal  
  Volume 8 Issue Pages SP8-20  
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  Abstract Conference presentation PDF  
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  Area Expedition Conference LiveM2016: International livestock modelling conference – Modelling grassland-livestock systems under climate change  
  Notes Approved no  
  Call Number MA @ admin @ Serial 4835  
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Author Saetnan, E.R.; Kipling, R.P. url  doi
openurl 
  Title Evaluating a European knowledge hub on climate change in agriculture: Are we building a better connected community Type Journal Article
  Year 2016 Publication Scientometrics Abbreviated Journal Scientometrics  
  Volume 109 Issue 2 Pages 1057-1074  
  Keywords Agriculture; Climate change; Interdisciplinary collaboration; Co-authorship; networks; EU research policy; Collaborative funding initiatives; Knowledge hub  
  Abstract In order to maintain food security and sustainability of production under climate change, interdisciplinary and international collaboration in research is essential. In the EU, knowledge hubs are important funding instruments for the development of an interconnected European Research Area. Here, network analysis was used to assess whether the pilot knowledge hub MACSUR has affected interdisciplinary collaboration, using co-authorship of peer reviewed articles as a measure of collaboration. The broad community of all authors identified as active in the field of agriculture and climate change was increasingly well connected over the period studied. Between knowledge hub members, changes in network parameters suggest an increase in collaborative interaction beyond that expected due to network growth, and greater than that found in the broader community. Given that interdisciplinary networks often take several years to have an impact on research outputs, these changes within the relatively new MACSUR community provide evidence that the knowledge hub structure has been effective in stimulating collaboration. However, analysis showed that knowledge hub partners were initially well-connected, suggesting that the initiative may have gathered together researchers with particular resources or inclinations towards collaborative working. Long term, consistent funding and ongoing reflection to improve networking structures may be necessary to sustain the early positive signs from MACSUR, to extend its success to a wider community of researchers, or to repeat it in less connected fields of science. Tackling complex challenges such as climate change will require research structures that can effectively support and utilise the diversity of talents beyond the already well-connected core of scientists at major research institutes. But network research shows that this core, well-connected group are vital brokers in achieving wider integration.  
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  ISSN 0138-9130 1588-2861 ISBN (up) Medium  
  Area LiveM Expedition Conference  
  Notes LiveM; wos; ft=macsur; macsur-text; wsnotyet Approved no  
  Call Number MA @ admin @ Serial 4760  
Permanent link to this record
 

 
Author Kipling, R. url  openurl
  Title LiveM2016: International livestock modelling conference – Modelling grassland-livestock systems under climate change Type Report
  Year 2016 Publication FACCE MACSUR Reports Abbreviated Journal  
  Volume 8 Issue Pages L0.1-D1  
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  ISSN ISBN (up) Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number MA @ admin @ Serial 4841  
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