2026-04-13T00:06:11Zhttps://recercat.cat/oai/request

oai:recercat.cat:20.500.12327/5122025-10-22T11:00:31Zcom_2072_4428com_2072_4427col_2072_487898

2025-10-22T11:00:31Z urn:hdl:20.500.12327/512 To what extent is climate change adaptation a novel challenge for agricultural modellers? 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. Özkan Gülzari, Ş. Reidsma, P. Rolinski, S. Ruiz-Ramos, M. Sandars, D.L. Sándor, R. Schönhart, M. Seddaiu, G. van Middelkoop, J. Shrestha, S. Weindl, I. Eory, V. Producció Animal Benestar Animal 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. 2025-10-22T11:00:31Z 2025-10-22T11:00:31Z 2019-07-29 info:eu-repo/semantics/article Kipling, R.P., C.F.E. Topp, A. Bannink, D.J. Bartley, I. Blanco-Penedo, R. Cortignani, and A. del Prado et al. 2019. "To What Extent Is Climate Change Adaptation A Novel Challenge For Agricultural Modellers?". Environmental Modelling & Software 120: 104492. Elsevier BV. doi:10.1016/j.envsoft.2019.104492. 1364-8152 http://hdl.handle.net/20.500.12327/512 https://doi.org/10.1016/j.envsoft.2019.104492 eng Environmental Modelling & Software MINECO/Programa Estatal de I+D+I orientada a los retos de la Sociedad/APCIN2016-00050-00-00/ES/Modelling European Agriculture with Climate Change for Food Security/MACSUR II http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess Attribution-NonCommercial-NoDerivatives 4.0 International Elsevier