TY - JOUR
T1 - To what extent is climate change adaptation a novel challenge for agricultural modellers?
AU - Kipling, Richard
AU - Topp, C. F. E.
AU - Bannink, André
AU - Bartley, Dave
AU - Blanco-penedo, Isabel
AU - Cortignani, R
AU - del Prado, Agustin
AU - Dono, Gabriele
AU - Faverdin, Philippe
AU - Graux, Anne-Isabelle
AU - Hutchings, Nicholas J
AU - Lauwers, Ludwig
AU - Özkan Gülzari, Şeyda
AU - Reidsma, Pytrik
AU - Rolinski, Susanne
AU - Ruiz-Ramos, Margarita
AU - Sandars, Daniel L.
AU - Sándor, Renata
AU - Schönhart, Martin
AU - Seddaiu, Giovanna
AU - van Middelkoop, Jantine
AU - Shrestha, Shailesh
AU - Weindl, Isabelle
AU - Eory, Vera
N1 - Funding Information:
This paper was produced through the international research project FACCE MACSUR – Modelling European Agriculture with Climate Change for Food Security – a FACCE JPI knowledge hub – which was funded through national contributions: The Spanish National Institute for Agricultural and Food Research and Technology, Spain & the Spanish Ministry of Economy and Competitiveness, Spain (MACSUR02-APCIN2016-00050-00-00); Biotechnology and Biological Sciences Research Council (BBSRC), United Kingdom (BB/K010301/1, BB/N00485X/1 and BB/N004973/1); Scottish Government Strategic Research Programme, Scotland; The Research Council of Norway, Norway (222943/E40); The Italian Ministry of Agriculture, Food and Forestry, Italy (D.M.2660/7303/2012); the Dutch Ministry of Agriculture, Nature and Food Quality, The Netherlands (BO-20-007-408); S.R. and I.W. acknowledge funding from Bundesministerium für Bildung und Forschung (BMBF), Germany, under grant 031A103B.
Publisher Copyright:
© 2019 The Authors
PY - 2019/10/1
Y1 - 2019/10/1
N2 - 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.
AB - 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.
KW - Adaptation
KW - Agricultural modelling
KW - Climate change
KW - Research challenges
UR - http://www.scopus.com/inward/record.url?scp=85069975464&partnerID=8YFLogxK
U2 - 10.1016/j.envsoft.2019.104492
DO - 10.1016/j.envsoft.2019.104492
M3 - Article
C2 - 31787839
SN - 1364-8152
VL - 120
JO - Environmental Modelling and Software
JF - Environmental Modelling and Software
M1 - 104492
ER -