4.7 Article

To what extent is climate change adaptation a novel challenge for agricultural modellers?

期刊

ENVIRONMENTAL MODELLING & SOFTWARE
卷 120, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.envsoft.2019.104492

关键词

Adaptation; Agricultural modelling; Climate change; Research challenges

资金

  1. FACCE MACSUR - Modelling European Agriculture with Climate Change for Food Security - a FACCE JPI knowledge hub
  2. Spanish National Institute for Agricultural and Food Research and Technology, Spain & the Spanish Ministry of Economy and Competitiveness, Spain [MACSUR02-APCIN2016-00050-00-00]
  3. Biotechnology and Biological Sciences Research Council (BBSRC), United Kingdom [BB/K010301/1, BB/N00485X/1, BB/N004973/1]
  4. Scottish Government Strategic Research Programme, Scotland
  5. Research Council of Norway, Norway [222943/E40]
  6. Italian Ministry of Agriculture, Food and Forestry, Italy [2660/7303/2012]
  7. Dutch Ministry of Agriculture, Nature and Food Quality [BO-20-007-408]
  8. Bundesministerium fur Bildung und Forschung (BMBF), Germany [031A103B]
  9. BBSRC [BB/N004973/1, BB/K010301/1, BB/N00485X/1] Funding Source: UKRI

向作者/读者索取更多资源

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.

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