Skip to Main Content (Press Enter)

Logo UNISS
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture
  • Terza Missione
  • Competenze

Logo UNISS

|

UNIFIND

uniss.it
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture
  • Terza Missione
  • Competenze
  1. Pubblicazioni

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

Articolo
Data di Pubblicazione:
2019
Citazione:
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.; Ozkan Gulzari, S.; Reidsma, P.; Rolinski, S.; Ruiz-Ramos, M.; Sandars, D. L.; Sandor, R.; Schonhart, M.; Seddaiu, G.; van Middelkoop, J.; Shrestha, S.; Weindl, I.; Eory, V.. - In: ENVIRONMENTAL MODELLING & SOFTWARE. - ISSN 1364-8152. - 120:(2019), p. 104492. [10.1016/j.envsoft.2019.104492]
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.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
Adaptation; Agricultural modelling; Climate change; Research challenges
Elenco autori:
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.; Ozkan Gulzari, S.; Reidsma, P.; Rolinski, S.; Ruiz-Ramos, M.; Sandars, D. L.; Sandor, R.; Schonhart, M.; Seddaiu, G.; van Middelkoop, J.; Shrestha, S.; Weindl, I.; Eory, V.
Autori di Ateneo:
SEDDAIU Giovanna
Link alla scheda completa:
https://iris.uniss.it/handle/11388/233282
Pubblicato in:
ENVIRONMENTAL MODELLING & SOFTWARE
Journal
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.2.0