Browsing by Author "Ruiz-Ramos, Margarita"

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    Priority questions in multidisciplinary drought research
    (Inter Research, 2018-08-28) Trnka, Miroslav; Hayes, Michael; Jurecka, Frantisek; Bartosova, Lenka; Anderson, Martha; Brazdil, Rudolf; Brown, Jesslyn; Camarero, Jesus J.; Cudlin, Pavel; Dobrovolny, Petr; Eitzinger, Josef; Feng, Song; Finnessey, Taryn; Gregoric, Gregor; Havlik, Petr; Hain, Christopher; Holman, Ian P.; Johnson, David; Kersebaum, Kurt Christian; Ljungqvist, Fredrik Charpentier; Luterbacher, Jurg; Micale, Fabio; Hartl-Meier, Claudia; Mozny, Martin; Nejedlik, Pavol; Olesen, Jorgen Eivind; Ruiz-Ramos, Margarita; Rotter, Reimund P.; Senay, Gabriel; Vicente-Serrano, Sergio M.; Svoboda, Mark; Susnik, Andreja; Tadesse, Tsegaye; Vizina, Adam; Wardlow, Brian; Zalud, Zdenek; Buntgen, Ulf
    Addressing timely and relevant questions across a multitude of spatio-temporal scales, state-of-the-art interdisciplinary drought research will likely increase in importance under projected climate change. Given the complexity of the various direct and indirect causes and consequences of a drier world, scientific tasks need to be coordinated efficiently. Drought-related research endeavors ranging from individual projects to global initiatives therefore require prioritization. Here, we present 60 priority questions for optimizing future drought research. This topical catalogue reflects the experience of 65 scholars from 21 countries and almost 20 fields of research in both natural sciences and the humanities. The set of drought-related questions primarily covers drought monitoring, impacts, forecasting, climatology, adaptation, as well as planning and policy. The questions highlight the increasingly important role of remote sensing techniques in drought monitoring, importance of drought forecasting and understanding the relationships between drought parameters and drought impacts, but also challenges of drought adaptation and preparedness policies.
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    ItemOpen Access
    To what extent is climate change adaptation a novel challenge for agricultural modellers?
    (Elsevier, 2019-07-29) Kipling, Richard P.; Topp, Cairistiona F. E.; Bannink, André D.; Bartley, David J.; Blanco-Penedo, Isabel; Cortignani, Raffaele; del Prado, Agustín; Dono, Gabriele; Faverdin, Philippe; Graux, Anne Isabelle; Hutchings, Nicholas J.; Lauwers, Ludwig; Özkan Gülzari, Şeyda; Reidsma, Pytrik; Rolinski, Susanne; Ruiz-Ramos, Margarita; Sandars, Daniel L.; Sandor, Renata; Schönhart, Martin; Seddaiu, Giovanna; van Middelkoop, Jantine C.; Shrestha, Shailesh S.; Weindl, Isabelle; Eory, Vera
    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.