Publications
NIBIOs employees contribute to several hundred scientific articles and research reports every year. You can browse or search in our collection which contains references and links to these publications as well as other research and dissemination activities. The collection is continously updated with new and historical material.
2019
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Misganu Debella-GiloAbstract
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Jane Mills Matthew Reed Kamilla Skaalsveen Julie IngramAbstract
Encouraging the uptake of sustainable soil management practices often requires on‐farm experiential learning and adaptation over a sustained period, rather than the traditional knowledge transfer processes of identifying a problem and implementing a solution. Farmer‐to‐farmer learning networks are emerging with farmers experimenting and sharing knowledge about these practices amongst themselves. One potential communication channel for such interaction and knowledge sharing is social media and Twitter in particular. A content analysis of a Twitter account for an EU research project, SoilCare, and in‐depth qualitative interviews with five farmers using Twitter were used to illustrate the extent and type of farmer‐to‐farmer knowledge sharing in relation to sustainable soil management practices. Evidence of farmer learning and knowledge sharing on Twitter with respect to these practices was identified. Twitter can capture the immediacy of the field operations and visual impacts in the field. Furthermore, the brief messages channeled through Twitter appeal to time‐constrained farmers. The ability for interaction around a particular hashtags in Twitter is developing virtual networks of practice in relation to sustainable soil management and within these networks farmer champions are emerging that are respected by other farmers. Twitter works best for those actively seeking information, rather than passive recipients of new knowledge. Therefore, its use with other forms of face‐to‐face interaction as part of a blended learning approach is recommended. Twitter also offers a potential space for other actors, such as researchers and advisers, to interact and share knowledge with farmers. This article is protected by copyright. All rights reserved.
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Cecilie Marie Mejdell Grete H. Meisfjord Jørgensen Knut Egil BøeAbstract
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Frank A. Maas Mekjell MelandAbstract
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R.P. Kipling C.F.E. Topp André D. Bannink D.J. Bartley I. Blanco-Penedo R. Cortignani A. del Prado G. Dono P. Faverdin A.-I. Graux N.J. Hutchings L. Lauwers Seyda Özkan_Gülzari P. Reidsma S. Rolinski M. Ruiz-Ramos D.L. Sandars R. Sándor M. Schönhart G. Seddaiu J. van Middelkoop S. Shrestha I. Weindl V. EoryAbstract
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.