To what extent is climate change adaptation a novel challenge for agricultural modellers?
Visualitza/Obre
Autor/a
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.
Data de publicació
2019-07-29ISSN
1364-8152
Resum
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.
Tipus de document
Article
Versió del document
Versió publicada
Llengua
English
Matèries (CDU)
636 - Explotació i cria d'animals. Cria del bestiar i d'animals domèstics
Pàgines
21
Publicat per
Elsevier
Publicat a
Environmental Modelling & Software
Citació
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.
Número de l'acord de la subvenció
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
Programa
Benestar Animal
Aquest element apareix en la col·lecció o col·leccions següent(s)
- ARTICLES CIENTÍFICS [2811]
Excepte que s'indiqui una altra cosa, la llicència de l'ítem es descriu com http://creativecommons.org/licenses/by-nc-nd/4.0/